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Predictors of obsessive–compulsive symptomology: mind wandering about the past and future

Abstract

Purpose

Obsessive and compulsive tendencies are known to occur in the general population and involve worry around specific concerns (obsessions) and an urge to resolve the concern with thoughts or behaviours (compulsions). Spontaneous, but not deliberate, mind wandering experiences (when attention turns to internal mentation), have been found to predict obsessive– compulsive tendencies [Seli, P., Risko, E.F., Purdon, C. & Smilek, D. (2017). Intrusive thoughts: linking spontaneous mind wandering and OCD symptomatology. Psychological Research, 81, 392–398. https://doi.org/10.1007/s00426-016-0756-3]. Recent cognitive theory suggests a particular role for future-oriented spontaneous thought in obsessive–compulsive (OC) symptoms. Thus, we hypothesised that future-oriented rather than past-oriented spontaneous mind wandering would predict OC symptoms, such that more future-oriented mind wandering would be associated with increases in OC symptoms.

Methods

In an online survey design (nonclinical sample of 104 adults), participants completed three measures: Mind wandering: Spontaneous (MW-S) and Deliberate (MW-D) (Carriere, Seli & Smilek, 2013); Involuntary Autobiographical Memory Inventory (Berntsen, Rubin & Salgado, 2015); and Dimensional Obsessive–Compulsive Scale (DOCS) (Abramowitz et al., 2010). We adopted a linear regression approach to examine our hypotheses.

Results

We provided the first replication of the finding that OC symptoms are predicted by the frequency of spontaneous (but not deliberate) mind wandering, with an underlying positive relationship. Additionally, we found that temporality of spontaneous thought had different predictive effects as a function of the dimension of OC symptoms (i.e., responsibility, unacceptable thoughts, need for symmetry/completeness).

Conclusions

We found moderate support for our temporality hypothesis, which highlights how the construct of temporality can add to our understanding of OC symptoms. The present study also adds to recent conceptual debates regarding mind wandering. We suggest new cognitive and methodological approaches to enhance the understanding of obsessive–compulsive disorder, opening new avenues for clinical and experimental research.

Predictors of obsessive–compulsive symptomology: mind wandering about the past and future

Obsessive compulsive disorder (OCD) is considered a highly debilitating condition which affects around 1.3% of the global population (Fawcett, Power & Fawcett, 2020). Clinically, this disorder involves two main aspects: First, obsessions revolving around a perceived problem which causes heightened anxiety and, second, compulsions which consist of behaviours or thoughts aimed at resolving the problem and/or anxiety (Challacombe, Oldfield and Salkovskis, 2011). Obsessions can take the form of intrusive imagery (e.g., “I left the house but forgot to turn off the oven which could cause a fire”), which can then trigger compulsions to think or act (e.g., “I must return to the house and check all dials on the oven”) to relieve anxiety (American Psychiatric Association, 2013). The full clinical presentation of OCD is evident when anxiety caused by these intrusive thoughts—and the subsequent acts to quell them—are so frequent that they significantly impact a person’s daily life.

In a less severe form, obsessive and compulsive tendencies are also known to occur in the general population (Abramowitz et al., 2010). When considered at an individual difference level in the general population, obsessive–compulsive tendencies are linked with mind wandering (MW) experiences (Seli, Risko, Purdon and Smilek, 2017). The link is explained by the conceptual overlap in these constructs; MW is characterized by a turning of attention to our inner cognitions rather than the outside world (which can include memories, daydreams, semantic knowledge and future thoughts), as are OCD tendencies, and both can occur unexpectedly (Abramowitz et al., 2010; Seli, Risko, Purdon and Smilek, 2017). More specifically, the intrusive nature of OC (obsessional–compulsive) thoughts (Rachman, 1997; Salkovskis, 1985) overlaps with the concept of spontaneous mind wandering—referring to cognitions that arise with no intention and little control over its content (Seli, Carriere, & Smilek, 2014; see also Christoff, Irving, Fox, Spreng, Andrews-Hanna, 2016; Cole & Kvavilashvili, 2019a). In a recent study, spontaneous, but not deliberate, MW, predicted the type and extent of OCD symptoms in a non-clinical student population (Seli, Risko, Purdon and Smilek, 2017), further demonstrating conceptual differences between deliberate and spontaneous MW, and providing new avenues for research into OCD.Footnote 1

The distinction between spontaneous and deliberate MW has also been accompanied by a wider theoretical discussion on the need to distinguish different types of MW (Murray et al., 2020; Seli et al., 2018). Here, we explore these distinctions further by looking into the temporal orientation of MW (see Baird, Smallwood & Schooler, 2011), and its relationship with OCD symptomatology. Temporality is particularly important to understand OCD, as recent findings have highlighted the salient role that future-oriented feared outcomes play in the disorder (e.g., “If I don’t return home, a fire will burn through the street harming my neighbours”; see Gehrt, et al., 2020; Zermatten et al., 2008). Furthermore, future-oriented MW has been associated with important functions, such as goal-directed cognitions and creativity (Baird, Smallwood & Schooler, 2011; Baird et al., 2012; Stawarczyk et al., 2011). Thus, maladaptive future-oriented MW may have an important role in the difficulties experienced by people living with OCD symptoms. In this study, we provide the first analysis of this relationship, by assessing whether spontaneous MW about future (versus the past) is positively related to OCD symptoms.

In sum, aims of the present study were twofold; (1) to replicate the aforementioned link between spontaneous thought patterns and OCD symptomology found by Seli and colleagues (2017) and (2) to provide the first examination of whether the temporality of spontaneous thought (specifically the future component) is a key variable that will help us explain why MW confers an increase in obsessive–compulsive thoughts. Thus, aim two will enable to us to examine further why a link between spontaneous MW and OCD symptomology exists.

A better understanding of MW about the past and future will shed light on possible ‘cognitive risk factors’ and lead to a better clinical understanding of the emergence and maintenance of OCD.

Mind wandering: an overview

A definition of mind wandering

Although there are several conceptualisations of MW (Christoff, Mills, Andrews-Hanna, Irving, Thompson et al., 2018; Seli, Carriere, & Smilek, 2014; Seli et al., 2018), it is generally defined as an attentional shift away from the here-and-now (including engagement in ongoing tasks), toward unrelated inner thoughts, feelings, memories, plans or wishes (Seli et al., 2018; Smallwood & Schooler, 2006; Smallwood & Schooler, 2015Footnote 2). It has been found to be a relatively common human experience, occupying 25–50% of waking life (Kane et al., 2007; Killingsworth & Gilbert, 2010).

Seli and colleagues (Seli et al., 2014; Seli, Risko, Smilek & Schacter, 2017) have argued that an important binary distinction should be made when examining MW. Specifically, they identify two types: Spontaneous mind wandering, which occurs with no intent and deliberate mind wandering, which an individual generates intentionally. Research has demonstrated that spontaneous and deliberate MW are differentially affected by personality traits (e.g., motivation, Seli et al., 2015) and states (e.g., high task difficulty, Seli, Risko & Smilek, 2017) indicating that the distinction is not superficial but instead signifies a meaningful difference. Theoretically, the distinction between intentional and unintentional processes has also been applied to explain important differences between spontaneous and deliberate future thinking (Cole & Kvavilashvili, 2019b). General theoretical frameworks—known as dual process accounts (Evans, 2008; Kahneman, 2011)—have been utilized to explain some of the differences between spontaneous and deliberate MW (see Cole & Kvavilashvili, 2019b; Seli, Risko, Smilek & Schacter, 2017).

Theoretical approaches to mind wandering

Theories of MW coalesce around one of two foci; theories of the cognitive processes associated with MW experiences and theories of the functions of MW (in short, whether MW is beneficial or indicative of a maladaptive mind).

Cognitive approaches generally take one of two positions: First, that MW does not require executive resources but interrupts and disrupts ongoing tasks (the executive-control failure hypothesis, Kane & McVay, 2007). Indeed, studies have demonstrated that people with low working memory capacity experience higher frequency of MW, regardless of whether MW was measured by questionnaires, diary recordings or laboratory tasks (Kane & McVay, 2012; Kane & McVay, 2007; McVay & Kane, 2010). The executive-control failure hypothesis explains the disruption to current task performance (e.g., increasing errors in high working memory-demanding tasks) by MW distracting rather than consuming cognitive resources (Kane & McVay, 2007). Revisions of this hypotheses proposed that MW was a failure of inhibition, especially in the context of external cues which triggering goal-related thoughts (McVay & Kane, 2010).

In contrast, proponents of the decoupling hypothesis (Smallwood & Schooler, 2006) assert that cognitive resources are necessary (and consumed) when MW is brought into consciousness (Smallwood & Schooler, 2006). A central tenet of this view is that decoupling from one’s current environment, and subsequent ‘cognitive hijacking’ of executive resources, acts to service other, self-relevant, goals (Smallwood & Schooler, 2006). Although the executive-control failure and decoupling hypothesis posit that MW experiences can be triggered or activated automatically (Smallwood & Schooler, 2006; McVay & Kane, 2010), the conflict remains in how the two hypotheses view the cognitive demands of MW experiences. Interestingly, a more recent proposal (process-occurrence framework, Smallwood, 2013) resolves these two approaches by separating cognitive processes of MW associated with activation and maintenance, linking only the latter with resource demands (Smallwood, 2013).

Although the debate about whether MW is functionally adaptive has been less focused than those concerning cognitive mechanisms (see Smallwood & Schooler, 2006; McVay & Kane, 2010), two broad perspectives can nevertheless be identified. The first hypothesis assumes MW largely obstructs normal goal completion and task performance (Kane & McVay, 2007; McVay & Kane, 2010). Thus, MW is the cause of errors, slowing and poor comprehension (Kane & McVay, 2012; Schooler et al., 2004; Szpunar et al., 2013)—in other words, MW is a form of distraction that should be curtailed.

The opposing perspective focusses on the adaptive content of MW. The adaptive content perspective often starts with the intuitive notion that such a prevalent mental phenomenon (occupying up to 50% of mental content, Killingsworth & Gilbert, 2010) must by necessity serve a useful purpose (Baars, 2010; Klinger et al., 2018). This is consistent with the Darwinian idea of ultimate causation of functional neurobiological systems through evolution. Studies examining the content of MW have shown that MW contains multiple types of information (e.g., self, social, future-related, Linz, Pauly, Smallwood, Engert, 2019). Of relevance here is how MW content can be conceptualized temporally as either past-, present- or future-oriented (Baird, Smallwood & Schooler, 2011; Stawarczyk, Cassol & D’Argembeau, 2013). This is central to the function debate because several studies have found that the majority of MW experiences are future-oriented (Smallwood & Schooler, 2011; Song & Wang, 2010, see Cole & Kvavilashvili, 2019a for a review), and where they are future-oriented, they are more likely concerned with creative problem-solving, autobiographical planning and long-term goals (Baird, Smallwood & Schooler, 2011; Baird et al., 2012; Stawarczyk et al., 2011). The idea that MW is important for future goals and behaviour (outside of the immediate) context is consistent with the work of Klinger (1971, 2013), who has outlined a detailed theoretical account of adaptive MW in the goal theory of current concerns. Nevertheless, maladaptive or dysfunctional aspects of MW have also been highlighted, often associated with certain clinical groups or individual difference variables (Klinger et al., 2018). It is these maladaptive forms of MW to which we turn below.

Mind wandering: temporality and its relation to mental health and OCD symptoms

We now consider MW, and specifically its temporal orientation, in its relationship with poor mental health (see MacLeod, 2016 for a related review). First, we summarise recent cognitive approaches to understanding differences between anxiety and depression. Second, the relationship between different types of psychopathology and MW is reviewed. We then focus on cognitive approaches to anxiety and OCD, which highlights that the future-oriented component of MW may be especially important in OCD.

Turning first to anxiety, in those with anxiety disorder researchers have observed an over-representation of emotionally negative-future events (MacLeod & Byrne, 1996), but not a decrease in positive future events. Thus, in a verbal fluency task comparing anxious, mixed (anxious and depressed) and control participants, anxious individuals only differed from controls by generating a greater number of negative-future events (MacLeod & Byrne, 1996). Participants with combined anxiety and depression differed from purely anxious individuals only by reporting fewer positive future events (MacLeod & Byrne, 1996). This negative-future cognitive bias in anxiety is observed in specific anxiety disorders, such as social anxiety disorder reflected in content-specific thoughts and hyper-vigilance around possible future threats (e.g., causing an embarrassing scene at a party; see del Palacio Gonzales & Berntsen, 2020 for a study of low and high socially anxious individuals). In short, high-anxiety individuals tend to envisage possible negative situations in the future, rather than a focus or rumination on past scenarios.Footnote 3

It is important to note that cognitive theories of psychopathology have demonstrated how depression and anxiety can be distinguished along two non-correlated dimensions (positive and negative affect) (Clark & Watson, 1991, Watson, Clarke & Carey, 1988): Depression is associated with a lack of positive affect (e.g., reduction in arousal, lack of interest, apathy), whereas anxiety is associated with an increase in negative affect (e.g., increased tension, hyper-arousal, irritability). In terms of temporality of thought, depression has been conceptualized as a change in perceptions of the self, the world and the future (Beck, 1976)—whereby future perspective is affected by a reduction in the ability to generate positive future events (MacLeod & Byrne, 1996; Williams et al., 1996). The link between depression/low mood and MW has now been established in several studies, both dispositionally (Deng, Li & Tang, 2014) and at state level (Killingsworth & Gilbert, 2010; Ruby, Smallwood, Engen & Singer, 2013). In short, MW is associated with a significant reduction in mood. Research has also shown that in addition to the occurrence of MW, the temporal content of MW may play an important role. Specifically, it has been found that a retrospective bias of MW (more past- than future-oriented MW) is associated with low mood (Ruby et al., 2013; Poerio, Totterdell & Miles, 2013), in line with research linking depression and ruminative past-thinking (Watkins & Teasedale, 2001).

Currently, there exist only a few studies examining the link between MW and anxiety (e.g., Arch, Wilcox, Ives, Sroloff, & Andrews-Hanna, 2021; Seli, Beaty, Marty-Dugas, & Smilek, 2019)—and these are often studies of anxiety traits in the general population. As such, our understanding of this relationship is growing, yet still in a formative stage. However, it is possible to generate some hypotheses based on current cognitive accounts of anxiety. For instance, ‘intrusive thought’, especially ‘intrusive mental imagery’ (see Holmes & Matthews, 2010; Raune, MacLeod & Homes, 2005), that is, thoughts that arise with no intention (as in spontaneous MW, Seli et al., 2013) have recently been posited as an important characteristic of anxiety disorders, such as post-traumatic stress disorder (Ehlers & Steil, 1991), and of relevance here, OCD. The relevance of intrusive mental imagery is supported by prominent clinical accounts of OCD (Rachman, 1997; Salkovskis, 1985). Indeed, such intrusive thoughts or images may have a role in the onset and maintenance of psychological disorders (e.g., Ehlers & Clarke, 2000), such as OCD, and thus may be a suitable target for therapeutic interventions (Blackwell, 2019).

A hypothesis follows from these approaches suggesting that more anxiety will be associated with an increase in spontaneous MW, but not deliberate MW. This hypothesis has found support in three types of anxiety.Footnote 4 First, in a non-clinical group of university students, Seli and colleagues (Seli, Beaty, Marty-Dugas, & Smilek, 2019) found that spontaneous, but not deliberate MW, was positively associated with general anxiety and stress as measured by the Depression, Anxiety, Stress Scale (Antony et al., 1998). Second, those with a diagnosis of social anxiety disorder had more spontaneous MW experiences than those without social anxiety (Arch, Wilcox, Ives, Sroloff, & Andrews-Hanna, 2021). Finally, in a recent study, Seli and colleagues (Seli, Risko, Purdon & Smilek, 2017) found that spontaneous MW, but not deliberate MW, predicted variance in trait-level obsessive and compulsive symptoms in a non-clinical cohort of 2636 students. This finding was in line with the prediction of Seli and colleagues, who explained the results in terms of alterations to executive-control mechanisms that may result in both spontaneous MW and OCD symptomology (Seli et al., 2017).

An untested hypothesis leading from previous theoretical and empirical research on anxiety concerns whether temporality of MW aids understanding of why MW is related to OCD symptomology. Specifically, although the results of Seli et al. (2017) support a positive association between spontaneous MW and anxiety conditions, it was not able to identify whether past or future-oriented spontaneous MW predicts OCD symptoms. OCD is an anxiety disorder that involves hyper-vigilance around circumscribed concerns (Rachman, 1997)—concerns which often feature looming possible disasters (e.g., death of a friend).

The relation between future-oriented spontaneous MW and OCD is clearly seen when we consider a hypothetical event involving an obsession and subsequent compulsion to act. Assume John—an OCD sufferer— has a fear of causing harm to others. His body becomes tense when he notices a traffic cone which has fallen over into the road. John has several vivid spontaneous thoughts involving a possible future car crash, which causes anxiety and is (mis)interpreted as a genuine threat must be neutralized (see Rachman, 1997). As well as increasing anxiety, the spontaneous negative imagery can also increase the perceived likelihood this negative event will happenFootnote 5 (Raune et al., 2005). As a preventative measure, he walks back several hundred metres to replace the cone to its original position, leading to a feeling of relief (but causing him to be late for an important meeting), and resulting in a cycle of obsessions and behaviours which increasingly interfere with his daily life. The role of intrusive thought in OCD is consistent with well-known cognitive accounts of OCD (Rachman, 1997; Salkovskis, 1985) and anxiety (Raune et al., 2005).

How might this example highlight the role of temporality of MW in OCD and OC cognitions? For John, it is the intrusive thought of the negative future, rather than past-oriented spontaneous thoughts, that can be seen to drive the looming obsessional worry (‘I have created a negative situation which will lead to others coming to harm’) and a subsequent compulsion to act (‘If I don’t act, the negative event will occur!’). Additionally, compared with healthy controls, people with OCD report heightened vividness and contextual richness when imagining events (Gehrt, Frostholm, Pallesen, Obermann, & Berntsen, 2020; Zermatten et al., 2008). The fact that highly vivid imagined scenarios can lead to increased feelings of probability (Raune et al., 2005), especially when they are repeated (Szpunar & Schacter, 2013) leads to an explanation of how future-oriented thoughts may trigger the obsessions and compulsions of OCD. As noted above, cognitive theories of anxiety converge on the idea that anxiety disorders are associated with an increase in negative affect (Clark & Watson, 1991, Watson, Clarke & Carey, 1988)—especially concerning negative-future scenarios (MacLeod & Byrne, 1996). In OCD, this negative affect often manifests as intrusive thoughts about possible tragic, worst-case scenarios (as in John, above) in relation to one of the four dimensions of OCD symptomology (Abramowitz et al., 2010). This contrasts with negative past-oriented thoughts which, as we have seen, are strongly associated with depression (Watkins & Teasedale, 2001).Footnote 6

Although future-oriented spontaneous thought could explain the salience of ‘intrusions’ in the clinical presentation of OCD, the importance of future-oriented thoughts in OCD has been especially highlighted in theories from evolutionary psychology (Abed & DePauw, 1998; Miloyan et al., 2016). Nevertheless, to our knowledge, this project is one of the few attempts to directly measure prospection in relation to patterns of OCD symptomology (see also Gehrt, et al., 2020; Zermatten et al., 2008).

Aims and hypotheses of the current study

In the present study, in addition to spontaneous and deliberate MW, we examined the temporality of spontaneous thought in relation to OCD symptomology in a non-clinical sample. The following two hypotheses were evaluated separately in the analyses.

Hypothesis 1

As Seli and colleagues’ study (2017) was the first of its kind, it is important to contribute to this emerging literature, and attempt to provide a replication—a key component of scientific investigation (Zwaan, Etz, Lucas, & Donnellan, 2018). We attempted the first replication of the finding that the tendency to mind wander spontaneously, but not deliberately, would predict obsessive–compulsive thought (Seli et al., 2017).

Hypothesis 2

We predicted that future spontaneous MW, but not past-oriented MW, would be able to explain variance in OC symptomology. Our reasoning was thus: If spontaneous future-oriented thoughts are an important aspect of OCD symptoms, they will be positively related to OC symptoms. This finding would offer insights into the link between MW and OCD symptomology because future-oriented spontaneous thoughts can drive and maintain the obsessions and compulsions in OCD (Gehrt, et al., 2020; Zermatten et al., 2008). We were agnostic as to whether spontaneous past-oriented thoughts would offer significant variance to the regression models, and included it as a suitable and relevant comparator to future-oriented thought.

If both hypotheses are supported, it will not only support established theories of OCD (Rachman, 1997) concerning the role of intrusive imagery in general, but will importantly lend support to recent theories of OCD (Gehrt, et al., 2020; Zermatten et al., 2008) highlighting how spontaneous thoughts about the future are able to drive and maintain anxiety-related disorders.

Method

We adopted a cross-sectional design using an online questionnaire format (Qualtrics, Provo, UT) to program the presentations and order of all scales. In all, we measured three constructs; OCD symptomology, MW frequency and spontaneous past and future thoughts. Data were collected throughout May, 2020. The project was approved by a York St John University Ethics Committee.

Participants

In line with Seli, Risko, Purdon and Smilek’s (2017) study, we targeted healthy adults over the age of 18. A power analysis using G*Power (Faul et al., 2009) found that a minimum of 89 participants would be needed for a medium-sized effect, hence we aimed to recruit at least 100 participants to account for data exclusions. In total, we included 102 UK-residing participants, after removing 38 incomplete entries. Participants were aged 19 to 80 (31% male, 68% female, 1% self-categorised as ‘other’), with an average age of 33 (SD = 12.42). No explicit restrictions (e.g., diagnosis of a clinical disorder) were placed on exclusion criteria when recruiting. We recruited participants via York St John University’s student population, snowball sampling through social networks and convenience sampling from local groups. As an incentive for participation, all participants were entered into a prize draw for an £50 Amazon voucher.

Materials

Three questionnaires were presented in the online study hosted by Qualtrics (Provo, UT); The mind wandering: Deliberate and Spontaneous Scale (MS-D, MS-S, Carriere, Seli & Smilek, 2013) to establish the presence of voluntary and involuntary mind wandering, the Dimensional Obsessive–Compulsive Scale (DOCS, Abramowitz et al., 2010) to establish symptoms of Obsessive Compulsive Disorder and the Involuntary Autobiographical Memory Inventory which measures the temporality of spontaneous thought (Berntsen, Rubin & Salgado, 2015). More detail on these three scales is provided separately below. The order of these three scales was randomised to reduce order effects (e.g., fatigue).

Mind wandering: spontaneous (MW-S) and deliberate (MW-D) (Carriere, Seli & Smilek, 2013)

This scale is designed to measure two separate phenomena; spontaneous and deliberate mind wandering. It is, therefore, split into two separate scales (MW-S and MW-D); each with four items (Carriere, Seli & Smilek, 2013). The deliberate mind wandering scale gives statements such as ‘I allow my thoughts to wander on purpose’, with which the participants rate how much they agree. The spontaneous mind wandering scale includes statements such as ‘I find my thoughts wandering spontaneously’. The minimum score for each scale is 4 and the maximum is 28 (each scale is rated 1–7). A higher total reflects a greater tendency to spontaneously or deliberately mind-wander in everyday life. Both scales have been shown to have good internal consistency (α > 0.80, Carriere et al., 2013).

Dimensional Obsessive–Compulsive Scale (DOCS) (Abramowitz et al., 2010 )

This scale is designed to measure four separate sub-scales of OCD symptomology; Contamination, Responsibility, Unacceptable thoughts and Symmetry/completeness. Each sub-scale has five items. The questions for each sub-scale are specific to the component of OCD they are measuring, so, for example, a contamination question includes ‘About how much time have you spent each day thinking about contamination and engaging in washing or cleaning behaviours because of contamination?’. All questions are answered on a five-point scale that ranges from 0 to 4, with labels that reflect the frequency of cognitions and behaviours associated with that component. The minimum score for each sub-scale is 0 and the maximum is 20. A higher total reflects a greater tendency to engage in those specific OCD-like symptoms. However, the DOCS does not provide a diagnosis of the disorder, only indicating related symptomology which may exist in non-clinical populations (Abramowitz et al., 2010). As described in Abramowitz and colleagues (2010), the DOCS has good internal reliability (α > 0.90) and convergent validity with other well-known measures of OCD symptoms (rs = 0.54–0.71).

Involuntary autobiographical memory inventory (Berntsen, Rubin & Salgado, 2015)

This scale is designed to measure the temporal focus of spontaneous cognition.Footnote 7 It is split into two separate scales; past and future, which have ten questions each. The past scale focuses on spontaneous memories and includes statements such as ‘Memories of personal events pop into my mind by themselves—without my consciously trying to remember them’. The participant then answers how frequently this statement applies to them on a five-point Likert scale that ranges from 0 (Never) to 4 (Once an hour or more). Hence the scale measures the frequency of past and future spontaneous thought. The items for the future uses the same scale and anchor points but with future-oriented statements such as ‘Imaginary future events pop into my mind by themselves – without me consciously trying to evoke them’. We use the mean score, in line with Berntsen, Rubin & Salgado (2015), which can range from 0 to 4 (Never (0)—Once an hour or more (4)). A higher mean score reflects a greater tendency to experience either past- or future-related spontaneous thoughts. Internal consistency for both scales was at least α = 90 (Berntsen, Rubin & Salgado, 2015).

Procedure

Each participant accessed the study from their own computer or smartphone via an active link (provided within the advert). Participants were informed of the three constructs under investigation, but none of the hypotheses of this study. Descriptions of all constructs were provided on the first page of the survey (before consent), including an explanation of obsessive and compulsive thoughts and behaviours that are common in the population. Participants were also informed that mind wandering refers to the process where you are “not present in the moment, and instead are following your thoughts, either voluntarily or without realizing…such as conducting a task and being distracted by thoughts about a holiday”. Spontaneous thoughts were described as “the type of thoughts that are involuntary, whether related to the present moment or not. They are not brought to mind with intention, and instead are experienced without will and can be positive, negative or neutral”. After a description of the concepts, they were provided with the opportunity to give informed consent by selecting a series of radio buttons. They then provided demographics (gender, current age) before completing the three questionnaires, with each of these providing standardised instructions including definitions of each construct.

Participants took a median of 13 min to complete the study (Mean= 44 min, inter-quartile range, 7.5 [Q1]−16.5 min [Q3]), with a small minority who took long durations (3 participants took > 1 h). Nevertheless all participants completed all sections.

After participants completed these scales they were provided with a debrief detailing further information about the study and sources of support for OCD and contact details, should they want to ask further questions or withdraw their data.

Data analysis plan

All fully completed surveys were included (total N = 102) in data analysis, and there was no evidence of erroneously completed surveys (i.e., no ‘straight-lining’ even in those participants with the shortest completion times). Linear regression models (enter method) were conducted in SPSS for each dependent variable (The outcome variables used were the dimensions of OCD symptomology). To examine hypothesis 1, a regression analysis was used to investigate whether spontaneous but not deliberate MW predicts OCD symptomology. To test our second hypothesis, the past-future temporality of spontaneous MW were used as predictors (using the past and future versions of the Involuntary Autobiographical Memory Inventory (Berntsen, Rubin & Salgado, 2015), with the prediction that future spontaneous cognition rather that past spontaneous cognition would explain significant variance in OCD symptomology.

Results

Below we summarise the descriptive statistics before providing a correlation matrix of the variables, then planned regression models.

Descriptive statistics

For the scores on all scales (and sub-scales), central tendency, variation and range were calculated (see Table 1). To allow direct comparisons with Seli et al. (2017), and to account for missing answers, scores on the MW scale were averaged (rather than summed), as were scored on the IAMS. The DOCS sub-scales, however, were totalled, in line with Seli and colleagues (2017). The minimum and maximum total scores (and SDs) for all scales demonstrate that a good range of individual differences were present. Mean scores were consistent with Seli et al., for MW but somewhat elevated for OCD symptomology.Footnote 8 In line with Kline (1998), the Skewness and Kurtosis values were all within the acceptable range; Skewness <2 and Kurtosis <4. Mean scores for temporality of past and future involuntary thought ranged from 1.6 and 2.1 on a 0–4 scale, consistent with all studies reported in Berntsen et al. (2015). Finally, high Cronbach’s alpha for all scales/sub-scales (all α s > 0.85) indicated good internal reliability, consistent with previous research (see Abramowitz et al., 2010; Berntsen et al., 2015; Seli et al., 2017).

Table 1 Descriptive statistics for the measures and sub-scales for mind wandering, OCD symptomology and past and future-oriented spontaneous mind wandering sub-scales

Correlational analyses

Before conducting regression models we conducted Pearson product-moment correlations to examine the relationship between all variables. These zero-order correlation coefficients are presented in Table 2. It can be noted here that there are stronger positive (significant) correlations between MW-S and DOCS sub-scales, and the absence of significant correlations between MW-D and OCD symptoms. It is also evident that past- and future-oriented spontaneous thought are strongly correlated, despite internal reliability (see Table 1), consistent with previous work (r > 0.68, del Palacio-Gonzalez & Berntsen, 2019; Berntsen, Rubin & Salgado, 2015).

Table 2 Correlation matrix: Pearson product-moment correlations between mind wandering, OCD symptomology and past and future-oriented spontaneous mind wandering sub-scales

Our first hypothesis was that spontaneous, not deliberate MW would predict OCD symptomology (Seli et al., 2017). First, we must observe that there were only small correlations between deliberate MW and the four sub-scales of the DOCS (r = −0.02–0.18), neither of which reached statistical significance. As linear regression models (themselves based on the same linear relationships) would not result in this measure significantly predicting OCD symptomology, we decided to omit deliberate MW from subsequent regression models. Nevertheless, an exploratory analysis using four linear regression models (using t test to assess difference of b from zero) confirmed that none of the DOCS sub-scales significantly predicted by deliberate MW, ps = 0.84, 0.13, 0.11, 0.07).

The lack of a relation between deliberate MW and OCD symptomology is consistent with Seli et al. (2017) (rs = 0.05–0.12), but a full test of hypothesis 1 is provided below when spontaneous MW is incorporated in the regression models. Nevertheless, it was, therefore, statistically justified to continue the calculations without the inclusion of the deliberate MW variable as they would not add variance to our subsequent regression models.

Examining Hypothesis 1: Replicating Seli et al. (2017)

Below we describe linear regression models to assess whether spontaneous MW predicted variance in OCD symptomology within each of the dimensions identified byAbramowitz et al. (2010),Footnote 9 thus further replicating the findings by Seli et al. (2017). However, only three (out of a potential four) sub-scales were examined, because the contamination sub-scale of OCD symptomology was not found to be significantly correlated with any of the scales outside of OCD symptomology sub-scales and so was omitted from further analyses (see Table 2).

Responsibility OCD symptomology

In the regression model, spontaneous MW predicted significant variance in OCD symptoms [F(1, 100) = 22.63, p < 0.001], with an R2 of 0.185, this explaining 18.5% of the variance in responsibility OCD symptomology scores. The coefficients for the model in Table 3 indicate that for every increase of 1 on the spontaneous mind wandering scale there was a 1.15 increase on the responsibility OCD sub-scale.

Table 3 Multiple regression models examining the contribution of spontaneous mind wandering and past and future-oriented spontaneous mind wandering in OCD symptomology

Unacceptable thoughts OCD symptomology

When entered in the regression model, spontaneous mind wandering significantly predicted variance in unacceptable thoughts OCD symptomology scores [F(1, 100) = 33.349, p < 0.001], with an R2 of 0.25, explaining 25% of the variance. The coefficients for the model (Table 3) suggest that for every increase of 1 on the spontaneous mind wandering scale there was a 1.64 increase on the unacceptable thoughts OCD sub-scale.

Symmetry/completeness OCD symptomology

When entered in the model, spontaneous mind wandering was a significant predictor of symmetry/completeness OCD symptomology [F(1,100) = 14.885, p < 0.001], with an R2 of 0.13, therefore, explaining 13% of the variance in symmetry/completeness OCD symptomology scores. Coefficients for the model are included in Table 3 and suggest that for every increase of 1 on the spontaneous mind wandering scale there was a 1.04 increase on the symmetry/completeness OCD sub-scale.

Examining Hypothesis 2: The role of MW temporality in OC symptoms

We predicted that future- but not necessarily past spontaneous thought would add significant variance to each model (and, specifically, that the variance explained by past spontaneous thought would not differ, statistically, from zero, whereas it would for future spontaneous thought). We used the enter method to assess the contribution of past and future MW to the model, rather than using stepwise (statistical) approach, which has well-established limitations in terms of degree of freedom estimations and increasing Type 1 Error (Thompson, 1995).

Predictors of responsibility OCD symptomology

In this model, both past- and future-oriented spontaneous MW were entered as potential predictors of responsibility OC symptoms. Overall, both past and future temporality together significantly predicted responsibility OC symptoms [F(2,99)= 7.76, p < 0.001] with an R2 of 0.136 accounting for 13.6% of the variance. In contrast to our hypothesis, neither past nor future-oriented spontaneous MW individually predicted significant variance in responsibility OC (past, standardised β = 0.17, t = 1.06, p = 0.29; future, standardised β = 0.22, t = 1.40, p = 0.16; both 95% confidence intervals overlapped with zero, see Table 3). Thus, even though future-oriented spontaneous MW did not predict OC symptoms alone, the combined past-future contribution predicted OC symptoms (responsibility) positively, to a significant degree.

Predictors of unacceptable thoughts OCD symptomology

In the following model, both past- and future-oriented spontaneous MW were entered as potential predictors of unacceptable thought OC symptoms. Overall, both past and future temporality together predicted responsibility OC symptoms [F(2,99)= 15.56, p < 0.001], accounting for 24% of the variance in this dimension of OC symptoms. In contrast to our hypothesis, past- rather than future-oriented spontaneous MW predicted significant variance in unacceptable thought OC (past, standardised β = 0.31, t = 2.07, p = 0.04; future, standardised β = 0.21, t = 1.42, p = 0.16). Further, only 95% confidence intervals for future-oriented MW overlapped with zero (see Table 3). As in the previous regression model, their combined contribution predicted OC symptoms (responsibility) to a significant degree.

Symmetry/completeness OCD symptomology

As above, both past- and future-oriented spontaneous MW were entered as candidate predictors of symmetry/completeness OC symptoms. Collectively, past and future temporality significantly predicted symmetry/completeness OC symptoms [F(2,99)= 16.04, p < 0.001] with an R2 of 0.245 (accounting for 25% of variance) and an underlying positive relationship. In support of our hypothesis, future-oriented but not past-oriented spontaneous MW predicted significant variance in unacceptable thought OC symptoms (past, standardised β = −0.10, t = −0.66, p = 0.51; future, standardised β = 0.57, t = 3.87, p < 0.001). Further, 95% confidence intervals overlapped with zero for past-oriented but not future-oriented spontaneous thought. Therefore, of all four dimensions, hypothesis 2 was only supported for the symmetry/completeness dimension.

Discussion

In this study we had two aims: (1) To confirm the initial finding by Seli and colleagues (2017) regarding the association between spontaneous MW and OCD symptomology and (2) to elucidate whether the frequency of spontaneous future-oriented thoughts experienced by individuals are an important aspect in predicting the frequency of OCD symptoms. In relation to our first aim, we found that spontaneous, but not deliberate MW predicted OCD symptomology in three out of the four sub-types of OCD symptoms. It can be concluded, therefore, that, except for one sub-scale, we successfully replicated findings from a separate study using similar methods and scales (Seli et al., 2017). A possible explanation of the unexpected anomaly (null effect) in contamination OC symptoms is provided below.

Second, based on cognitive and evolutionary theories of anxiety (Abed & DePauw, 1998; Miloyan et al., 2016; Raune et al., 2005), it was predicted that, of the two directions of temporality of thought (past, future; Berntsen, Rubin & Salgado, 2015), future-oriented MW would predict significant variance in OCD symptomology. Of three hierarchical multiple regression models conducted to test the second hypothesis, future-oriented spontaneous MW was only found to be a strong significant predictor of the symmetry/completeness dimension of OCD symptomology scores. For the other two dimensions, responsibility OCD symptoms was not predicted by either past or future temporality as separate variables and unacceptable thought was only predicted by past but not future spontaneous thought. All three analyses (incorporating both past and future thought) led to significant regression models, with positive relationships in each (i.e., more spontaneous [past and future] thought led to more OC symptoms). Therefore, we only found support for hypothesis two in one dimension of OCD symptoms, but found support for the role of temporality in general in all three. This emphasises, for the first time, the usefulness of spontaneous past and future thought as constructs in explaining anxiety conditions (Holmes & Matthews, 2010; Raune, MacLeod & Homes, 2005) and obsessiv– compulsive thoughts and behaviours (Gehrt, et al., 2020; Zermatten et al., 2008).

The effect of lockdown on OCD symptoms

Pandemics (such as covid-19 and SARS) are known to increase worry and ‘over-reactivity’ in the populations in which they occur (Hazma Shuja et al., 2020). In fact, the World Health Organisation identified the potential for the covid-19 pandemic to cause negative psychological effects and recommended that people minimise intake of pandemic-related content on TV, radio, and the internet (WHO, 2020). At the time of data collection (7–28th May, 2020), just after a national lockdown (with a ‘stay at home’ order) lasting around seven weeks, the UK was experiencing the ‘first wave’ of the covid-19 (with > 20,000 total cases and > 3,000 deaths caused by covid-19). Travel and work restrictions associated with the national lockdown were eased on 10th May (for data, Desvars-Larrive et al. 2020).

Within this context of high stress and hyper-vigilance, and with a message to wash hands regularly, it is not surprising that obsessive–compulsive symptoms, compared to general anxiety and depression, were found to selectively increase (and persist) in the UK (Loosen, Kvortsova and Hauser, 2000). Indeed, it has been suggested that UK government advice and the covid-19 pandemic have provided apt conditions for OCD symptoms to rise in the general population (Loosen, Kvortsova and Hauser, 2000; Shafran et al., 2020). Thus, it is unsurprising that participants had a higher frequency of contamination-related thoughts (e.g., “About how much time have you spent each day thinking about contamination and engaging in washing or cleaning behaviours because of contamination?) than thoughts related to other OC symptoms (see Table 1). Direct comparisons with non-clinical groups in Seli and colleagues (2017) and Abramovic et al. (2010), demonstrated significantly higher scores for contamination symptoms in our study (one-sample t tests were significant [ps < 0.001] using the means found in these studies, M = 3.53 and M = 2.50 for comparison against M = 6.24 in the current study).

In sum, we reason that the elevated values for the contamination sub-scale reflects a covid-19-related increase, affecting sensitivity of the DOCS when analysing the correlation between contamination OC and spontaneous MW, leading to the (unexpected) exception of spontaneous MW not predicting OCD symptoms. As found in Seli et al., (2017), we would expect spontaneous MW to predict variance in contamination OC symptoms, in this and future studies, in the absence of such a stressful ongoing situation.

The role of spontaneous MW in OCD symptomology

The common nature of spontaneous MW and obsessive–compulsive cognitions—both involving an inward turning of attention (i.e., to feelings, thoughts, images), and with the potential to arise without intent (Abramowitz et al., 2010; Seli, Risko, Purdon and Smilek, 2017)—was the rationale for expecting spontaneous, but not deliberate, MW to predict variance in trait OCD symptomology. Although greater precision was achieved by Seli and colleagues (2017) (with N = 2636, and smaller confidence intervals), our results were highly convergent: three models including spontaneous MW (alone) as a predictor significantly predicted variance in OC symptoms. In contrast, zero-order bivariate correlations showed that deliberate MW invariably did not correlate with OC symptoms measured via the DOCS (Abramowitz et al., 2010). Specifically, whereas an increase in spontaneous MW was associated with an increase in OC symptomology in a non-selected student and community sample, variation in levels of deliberate MW did not covary with OC symptomology in the current study (all rs considered low-small, −0.02–0.18, Cohen, 1988).

The confirmation of this finding has both general and specific implications. Broadly, it strengthens the conceptual distinction between spontaneous and deliberate MW (Seli et al., 2015; Seli, Risko & Smilek, 2015), which can be aligned with the well-known distinction between system 1 and system 2 mental processes, respectively (Kahneman, 2011). Also, providing a direct and independent replication of Seli et al.’s (2017) finding, using the same measures, is important to a new area of investigation, and replications are considered a ‘fundamental feature’ of scientific endeavour, despite their supposed limitations (Zwaan et al., 2018).Footnote 10

More precisely, our findings are potentially important in increasing theoretical understanding of the cognitive mechanisms in OC symptomology in subclinical and clinical OCD, especially considering that the DOCS has convergent validity with standard clinical measures of OCD (Abramovitch et al., 2010). It has been suggested that the reduced executive control associated with increases of MW underlies the increase in obsessional thoughts in OCD (Seli et al., 2017). In other words, the lack of cognitive control that allows high amounts of MW experiences to enter consciousness could similarly explain why people with OCD experience high frequency of (unwanted) obsessional thoughts. This explanation implies that people with OCD would have a general executive function deficit, but the literature is complex and inconsistent, with some studies showing no deficit in people with OCD (see Abramovitch, & Cooperman, 2015 for a review). The executive-deficit view of OCD is inconsistent with the prevailing neurobiological model of OCD (the ‘frontostriatal’ model, see Pauls et al., 2014) which explains OCD as a hyper-vigilance toward potential threat, which over-activates, rather than under-activates, prefrontal circuits.

Alternative explanations of this data may propose a common third variable. For example, the tendency to experience mental imagery could explain the frequency with which MW and OC symptoms occur. Mental imagery is an important component of anxiety disorders such as OCD (Holmes & Matthews, 2010) and MW in healthy adults (Stawarczyk et al., 2011), and evidence suggests imagery-based versus verbal-based content has a specific role in emotional disruptions such as dysphoria (Ji et al., 2019). Could spontaneous mental imagery have a key role in the development or maintenance of OC symptoms? One way to examine this hypothesis causally, however, would be to assess MW and OCD symptoms in patients with damage to areas of the brain associated with vivid imagery (e.g., Moro, Berlucchi, Lerch, Tomaiuolo, & Aglioti, 2008) or in those with aphantasia (a lack of mental imagery, Zeman et al., 2015). However, at present, this hypothesis requires development and is only tentatively suggested here to initiate further theoretical and empirical work. Nevertheless, the current data do not indicate a causal factor for OCD but instead implies a possible risk factor—a common third variable of vivid mental imagery.Footnote 11

The role of temporality of thought in spontaneous MW in OCD symptomology

The present data regarding temporality of spontaneous thought indicated that spontaneous future MW had a more limited, circumscribed relationship with OCD symptoms than would be expected by recent theories (Abed & DePauw, 1998; Miloyan et al., 2016; Raune et al., 2005). In particular, for symmetry/order OC symptoms, beta values clearly indicated the temporality effect was driven by a positive association between future spontaneous MW and the OC dimension. This is largely consistent with Berntsen and colleagues’ study (Study 4, Berntsen et al., 2015) whereby bivariate correlations with a well-used anxiety measure (GAD-7, Spitzer et al., 2006) showed that spontaneous future thinking correlated more strongly with anxiety than past spontaneous thought (rs = 0.30 versus 0.19).

As the relation between spontaneous future MW and OC symptoms was dependent on OC dimension, a more nuanced approach is required to explain the present findings. It is possible, for example, that intrusive mental images of the future could be linked with incomplete behaviours in the symmetry/completeness component (e.g., not checking the door four times), thereafter leading to future catastrophising (e.g., the house being robbed)—highlighting the link between symmetry/completeness and future thought. The link between spontaneous memories and unacceptable thought OC symptoms, however, showed an opposite pattern (predicted by the spontaneous past but not future). One tentative idea is that this could be explained by rumination on specific unacceptable thoughts (e.g., ‘I wanted to push the dog into the lake’); rumination being inherently anchored in the past (Watkins & Teasedale, 2001). Finally, responsibility OC symptoms were not differentially affected by past or future spontaneous thoughts; only the combined effect of both was powerful enough to predict these symptoms.

To summarise, we have shown that the link between temporality of thought and OCD is not as straightforward as predicted, but is dependent on symptom dimension, and it may be useful for these differential effects to be considered in future research.

Is mind wandering inherently bad?

In addition to providing the first evidence linking the temporality of MW with OCD symptoms, the present study adds further evidence indicating a ‘dark side’ to MW (see Killingsworth & Gilbert, 2010). Although there are clearly benefits of MW (see Smallwood & Schooler, 2015), this study shows how high frequencies of MW can be associated with high levels of specific psychopathological symptoms (where intentional MW is not, see Seli, Beaty, Marty-Dugas & Smilek, 2019). In short, by demonstrating a link between trait level MW and OCD symptoms, our study can be interpreted with a variety of recent studies showing links between spontaneous MW and other disorders such as ADHD, Post-traumatic stress disorder and depression (Seli et al., 2019), at least when tested in non-clinical populations. However, caution is needed before settling with the statement “a wandering mind is an unhappy mind” (Killingsworth & Gilbert, 2010, p. 932). Rather, we would advocate a functional approach to MW, whereby MW, especially in spontaneous forms, generally facilitates activation of current goals, which then activates goal-oriented behaviour (Klinger, 1971; Klinger et al., 2018), but in certain conditions (e.g., when experiencing high negative affect), can elicit negative-self cognitions and reduce overall mood (Klinger et al., 2018; Marchetti et al., 2016).

Limitations

As a cross-sectional study, the data herein are limited by not offering a causal statement about the link between spontaneous thought and OC symptomology. In addition to approaches mentioned above, future work would benefit from using other designs to study this link, such as an AB/BA crossover design. As such, one could determine if decreases in spontaneous thought predict remission of OC symptoms, following an intervention which targets MW via mindfulness, for example (Hawley et al., 2020).

The IAMI scale also warrants discussion. Specifically, whether involuntary past and future thinking can be classified as MW. Indeed, it has been stated that despite overlap between these phenomena, past and future involuntary thinking on the one hand and mind wandering on the other, should remain conceptually distinct (Berntsen, Rubin & Salgado, 2015, Berntsen, 2021). However, it is important to recognize some recent conceptual developments and differences in approach regarding MW and spontaneous thought. Recently, authors have considered MW an ‘umbrella term’ to incorporate, for example, unintentional and intentional thought (Smallwood & Schooler, 2015; Seli et al., 2018). Further, models of spontaneous thought contain different types of content, such as past and future-oriented thought (Christoff, Irving, Fox, Spreng, Andrews-Hanna, 2016). For these reasons, we believe it is possible to conceptualize spontaneous past and future thought as within a partonomic hierarchy, with MW at the most general level, spontaneous MW/thought at the intermediate level and spontaneous MW about the future/past at the most specific level (see also Cole & Kavavilashvili, 2019a for similar arguments). Thus, we believe conceptualizing involuntary past and future thoughts under the broader category of spontaneous MW as a reasonable method to examine the content of MW experiences, and their relation with OC symptoms.

Ultimately, due to the methodology herein, it is difficult to examine how the content of spontaneous thought per se relates to dimensions OCD symptomology. With the scales used here and design implemented (cross-sectional questionnaire-based study), it was impossible to elucidate the degree to which spontaneous past and future thoughts were about obsessional concerns. In future research it will be important to measure the temporal direction of the OC thoughts themselves, in subclinical and clinical groups. Qualitative studies and open-ended thought probes will be important to follow up these findings and to uncover the nuanced relation between past- and future-oriented MW on the one hand and OCD on the other.

Future directions

Regardless of the precise mechanism underlying the existence of OC cognitions, due to the similarity between MW and OC thoughts, MW research may provide more precise and adaptable methodological techniques to understand the emergence and maintenance of OC symptoms (for an example using a self-caught method, see Kollárik, van den Hout, Heinzel, Hofer, Lieb et al., 2020). Indeed, research on MW has identified reliable ways of measuring spontaneous thoughts in the laboratory using cognitive tasks (Plimpton et al., 2015), everyday experience sampling (Warden et al., 2019), in addition to questionnaires (e.g., Mrazek et al., 2013). More specifically, recent work indicates that, like OC thoughts (see Rachman, 1997), MW experiences can be triggered by either the external environment or internal thoughts/emotions (Plimpton et al., 2015). A fruitful direction for research may, therefore, be to use methods from MW to disentangle externally and internally triggered obsessional thoughts.

Summary

In this study, we provided a direct, independent replication of a recent finding (Seli et al., 2017): That spontaneous, not deliberate, MW predicts OCD symptoms in a non-clinical sample. Furthermore, considering recent cognitive and evolutionary theory, and based on cognitive models of OCD, we posited that the frequency of future-oriented spontaneous MW experiences would predict frequencies of OC symptoms. Although only moderate support was found for this hypothesis, results highlight how the construct of temporality can add to our understanding of OC symptoms. Thus, in addition to increasing theoretical understanding of MW (e.g., conceptual distinctions between spontaneous and deliberate MW), the current study highlights for the first time the role of past- and future-oriented mind wandering in obsessive–compulsive tendencies thus opening new avenues for experimental and clinical research.

Availability of data and material

We provide details of our methods on the open science framework (https://doi.org/10.17605/OSF.IO/E2KXP). Data are available upon request.

Code availability

Not applicable.

Notes

  1. 1.

    It is worthy of mention that other related types of spontaneous thought have also been examined, often in their own right, are involuntary autobiographical memories (Berntsen, 2009), mind-pops (Kvavilashvili & Mandler, 2004) and, spontaneous future cognition (Cole & Kvavilashvili, 2019a).

  2. 2.

    Mind wandering has variously been referred to as self-generated thought (Smallwood & Schooler, 2015), task-unrelated thought (Raichle, Macleod, Snyder, Powers, Gusnard & Shulman,

    2001), stimulus-independent thought (Antrobus, Singer & Greenberg, 1966), and daydreaming (Singer, 1966). Nevertheless, the most commonly used term across time and different authors has been mind wandering (Smallwood & Schooler, 2006, 2015). For a description of terminology in this field see Smallwood & Schooler, 2015, and see Seli, Kane, Smallwood, Schacter, Maillet et al., 2018, Christoff, Mills, Andrew-Hanna, Irving, Thompson et al., 2018; and Seli, Kane, Smallwood, Schacter, Maillet et al., 2018b for a recent debate.

  3. 3.

    Although the majority of research has investigated the link between depression/anxiety and future thinking, it is acknowledged that anxiety disorders (such as PTSD and social anxiety disorder) are also associated with changes in the content of autobiographical memories (e.g., Krans, Peeters, Näring, Brown, de Bree, 2017).

  4. 4.

    MW has also been examined in relation to Attention Deficit Hyperactivity Disorder (ADHD), a disorder that often coexists with anxiety (Schatz, & Rostain, 2006). In ADHD, several recent studies have found an elevated frequency of MW in ADHD compared to control groups (Biederman, Lanier, DiSalvo, Noyes, Fried et al., 2019; Helfer, Cooper, Bozhilova, Maltezos, Kuntsi, 2019) and higher levels of spontaneous MW (Moukhtarian, Reinhard, Morillas Romero, Ryckaert, Mowlem et al., 2020; Seli, Risko, Purdon, & Smilek, 2017).

  5. 5.

    For a related explanation of how mental imagery can increase subjective probabilities of negative-future scenarios (in anxiety in general), see Raune, MacLeod & Holmes (2005) in which they propose ‘the simulation heuristic’—an explanation for the role of mental imagery in anxiety disorders.

  6. 6.

    From the start of this investigation, we were agnostic as to whether past-oriented MW would predict additional variance in OCD symptomology, due to a lack of previous evidence or theory linking OCD with past-oriented thought. This contrasts other disorders such as PTSD or depression, where a link with past-oriented thoughts has been well-documented.

  7. 7.

    This measure was selected due to its relevance to measuring involuntary thoughts about the past and future. We were not aware of any scale that specifically measured MW about the past and future, and although Berntsen (2019) has argued for differences between autobiographical involuntary memory and future thinking and MW on conceptual grounds, based on a recent review of empirical research from MW, future thinking and prospective memory (Cole & Kvavilashvili, 2019a, 2019b), we believe there is enough convergence in findings between these studies, to consider past and future involuntary thoughts to past and future oriented thoughts measured in the MW literature (see Baird et al., 2012). We, therefore, selected the scale by Berntsen, Rubin & Salgado (2015) for both pragmatic and conceptual reasons.

  8. 8.

    In Seli et al. (2017), MW was 4.50 (deliberate) and 4.27 (spontaneous), whereas DOCS was M = 3.53 (contamination), M = 3.28 (responsibility), M = 3.90 (unacceptable thoughts), and M = 2.96 (symmetry/completeness). This may have been due to data collection taking place in the covid-19 pandemic and UK lockdown in May 2020. This point will be elaborated in the discussion section.

  9. 9.

    This separation of regression models based on the four sub-scales of the DOCS (Abramowitz et al., 2010) is consistent with Seli and colleagues (2017).

  10. 10.

    To facilitate future research in this area, such as meta-analyses, we provide details of our methods on the open science framework ( 10.17605/OSF.IO/E2KXP).

  11. 11.

    A further hypothesis is that both spontaneous MW and OCD symptomology share a common, third variable, such as dissociative absorption, which may indicate another risk factor in the emergence of full OCD (Soffer-Dudek, 2019). However, again, this hypotheses is mainly preliminary and future studies would be needed to support it.

References

  1. Moro, V., Berlucchi, G., Lerch, J., Tomaiuolo, F. and Aglioti, S.M., (2008) Selective deficit of mental visual imagery with intact primary visual cortex and visual perception. cortex44(2), pp.109-118.

  2. Abed, R. T., & de Pauw, K. W. (1998). An evolutionary hypothesis for obsessive compulsive disorder: A psychological immune system? Behavioural Neurology, 11(4), 245–250. https://doi.org/10.1155/1999/657382

    Article  PubMed  Google Scholar 

  3. Abramovitch, A., & Cooperman, A. (2015). The cognitive neuropsychology of obsessive-compulsive disorder: A critical review. J Obsessive-Compulsive Related Dis, 5, 24–36. https://doi.org/10.1016/j.jocrd.2015.01.002

    Article  Google Scholar 

  4. Abramowitz, J. S., Deacon, B. J., Olatunji, B. O., Wheaton, M. G., Berman, N. C., Losardo, D., Timpano, K. R., McGrathRiemann, P. B. B. C., Adams, T., Björgvinsson, T., Storch, E. A., & Hale, L. R. (2010). Assessment of obsessive-compulsive symptom dimensions: Development and evaluation of the Dimensional Obsessive-Compulsive Scale. Psychological Assessment, 22(1), 180–198. https://doi.org/10.1037/a0018260

    Article  PubMed  Google Scholar 

  5. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Author.

    Book  Google Scholar 

  6. Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological Assessment, 10, 176–181. https://doi.org/10.1037/1040-3590.10.2.176

    Article  Google Scholar 

  7. Antrobus, J. S., Singer, J. L., & Greenberg, S. (1966). Studies in the stream of consciousness: Experimental suppression of spontaneous cognitive processes. Perceptual and Motor Skills, 23, 399–417.

    Article  Google Scholar 

  8. Arch, J. J., Wilcox, R. R., Ives, L. T., Sroloff, A., & Andrews-Hanna, J. R. (2021). Off-task thinking among adultswith and without social anxiety disorder: an ecological momentary assessment study. Cognition & emotion, 35(2), 269–281. https://doi.org/10.1080/02699931.2020.1830751.

    Article  Google Scholar 

  9. Baird, B., Smallwood, J., Mrazek, M. D., Kam, J. W. Y., Franklin, M. S., & Schooler, J. W. (2012). Inspired by distraction: Mind wandering facilitates creative incubation. Psychological Sci, 23(10), 1117–1122. https://doi.org/10.1177/0956797612446024

    Article  Google Scholar 

  10. Beck, A. T. (1976). Cognitive therapy and the emotional disorders. New York: International Universities Press.

    Google Scholar 

  11. Berntsen, D. (2009). Involuntary autobiographical memories: An introduction to the unbidden past. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  12. Berntsen, D., Rubin, D. C., & Salgado, S. (2015). The frequency of involuntary autobiographical memories and future thoughts in relation to day dreaming, emotional distress, and age. Consciousnessand cognition, 36, 352–372. https://doi.org/10.1016/j.concog.2015.07.007

    Article  Google Scholar 

  13. Berntsen, D. (2021). Involuntary autobiographical memories and their relation to other forms of spontaneous thoughts. Philosophical Transactions of the Royal Society B. https://doi.org/10.1098/rstb.2019.0693

    Article  Google Scholar 

  14. Biederman, J., Lanier, J., DiSalvo, M., Noyes, E., Fried, R., Woodworth, K., Biederman, I., & Faraone, S. (2019). Clinical correlates of mind wandering in adults with ADHD. J Psychiatric Res, 117, 15–23. https://doi.org/10.1016/j.jpsychires.2019.06.012

    Article  Google Scholar 

  15. Blackwell, S. E. (2019). Mental imagery: From basic research to clinical practice. J Psychotherapy Integration, 29(3), 235 247. https://doi.org/10.1037/int0000108

  16. Christoff, K., Irving, Z. C., Fox, K. C., Spreng, R. N., & Andrews-Hanna, J. R. (2016). Mind-wandering as spontaneous thought: A dynamic framework. Nature Reviews Neuroscience, 17(11), 718–731. https://doi.org/10.1038/nrn.2016.113

    Article  PubMed  Google Scholar 

  17. Christoff, K., Mills, C., Andrews-Hanna, J. R., Irving, Z. C., Thompson, E., Fox, K. C. R., & Kam, J. W. Y. (2018). Mind-wandering as a scientific concept: Cutting through the definitional haze. Trends Cognitive Sci, 22(11), 957–959. https://doi.org/10.1016/j.tics.2018.07.004

    Article  Google Scholar 

  18. Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. J Abnormal Psychol, 100(3), 316–336. https://doi.org/10.1037/0021-843X.100.3.316

    Article  Google Scholar 

  19. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences.

    Google Scholar 

  20. Cole, S. N., & Kvavilashvili, L. (2019a). Spontaneous future cognition: The past, present and future of an emerging topic. Psychological Research Psychologische Forschung, 83, 631–650. https://doi.org/10.1007/s00426-019-01193-3

    Article  PubMed  Google Scholar 

  21. Cole, S., & Kvavilashvili, L. (2019b). Spontaneous and deliberate future thinking: A dual process account. Psychological Research Psychologische Forschung, 85, 464–479. https://doi.org/10.1007/s00426-019-01262-7

    Article  PubMed  Google Scholar 

  22. Deeprose, C., & Holmes, E. A. (2010). An exploration of prospective imagery: The impact of future events scale. Behavioural and Cognitive Psychotherapy, 38(2), 201–209.

    Article  Google Scholar 

  23. Deng, Y.-Q., Li, S., & Tang, Y.-Y. (2014). The relationship between wandering mind, depression andmindfulness. Mindfulness, 5(2), 124–128. https://doi.org/10.1007/s12671-012-0157-7.

    Article  Google Scholar 

  24. del Palacio-Gonzalez, A., & Berntsen, D. (2019). The tendency for experiencing involuntary future and past mental time travel is robustly related to thought suppression: An exploratory study. Psychological Research Psychologische Forschung, 83, 788–804. https://doi.org/10.1007/s00426-018-1132-2

    Article  PubMed  Google Scholar 

  25. Desvars-Larrive, A., Dervic, E., Haug, N., Niederkrotenthaler, T., Chen, J., Di Natale, A., et al. (2020). A structured open dataset of governmentinterventions in response to COVID-19. Scientific data, 7(1), 285. https://doi.org/10.1038/s41597-020-00609-9.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149–1160.

    Article  Google Scholar 

  27. Gehrt, T. B., Frostholm, L., Obermann, M. L., & Berntsen, D. (2020). Autobiographical memory and episodic future thinking in severe health anxiety: A comparison with obsessive–compulsive disorder. Cognitive Therapy and Research, 44(1), 89–107. https://doi.org/10.1007/s10608-019-10058-3

    Article  Google Scholar 

  28. Hawley, L. L., Rector, N. A., DaSilva, A., Laposa, J. M., & Richter, M. A. (2020). Technology supported mindfulness for obsessive compulsive disorder: Self-reported mindfulness and EEG correlates of mind wandering. Behaviour Research and Therapy, 136, 103757. https://doi.org/10.1016/j.brat.2020.103757

    Article  PubMed  Google Scholar 

  29. Helfer, B., Cooper, R. E., Bozhilova, N., Maltezos, S., Kuntsi, J., & Asherson, P. (2019). The effects of emotionallability, mind wandering and sleep quality on ADHD symptom severity in adults with ADHD. European psychiatry : the Journal of the Association of European Psychiatrists, 55, 45–51. https://doi.org/10.1016/j.eurpsy.2018.09.006.

    Article  Google Scholar 

  30. Ji, J. L., Holmes, E. A., MacLeod, C., & Murphy, F. C. (2019). Spontaneous cognition in dysphoria: Reduced positive bias in imagining the future. Psychological Research Psychologische Forschung, 83(4), 817–831. https://doi.org/10.1007/s00426-018-1071-y

    Article  PubMed  Google Scholar 

  31. Kane, M. J., Brown, L. H., McVay, J. C., Silvia, P. J., Myin-Germeys, I., & Kwapil, T. R. (2007). For whom the mind wanders, and when: An experience-sampling study of working memory and executive control in daily life. Psychological Science, 18(7), 614–621. https://doi.org/10.1111/j.1467-9280.2007.01948.x

    Article  PubMed  Google Scholar 

  32. Killingsworth, M. A., & Gilbert, D. T. (2010). A Wandering Mind Is an Unhappy Mind. Science, 330, 932–932. https://doi.org/10.1126/science.1192439.

    Article  PubMed  Google Scholar 

  33. Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: Guilford Press.

    Google Scholar 

  34. Klinger, E. (1971). Structure and functions of fantasy. New York: John Wiley & Sons.

    Google Scholar 

  35. Klinger, E., Marchetti, I., & Koster, E. H. W. (2018). Spontaneous thought and goal pursuit: From functions such as planning to dysfunctions such as rumination. In K. Fox & K. Christoff (Eds.), The Oxford handbook of spontaneous thought: Mind-wandering, creativity, and dreaming (pp. 215–247). Oxford: Oxford University Press.

    Google Scholar 

  36. Krans, J., Peeters, M., Näring, G., Brown, A. D., de Bree, J., & van Minnen, A. (2017). Examining temporalalterations in social anxiety disorder and posttraumatic stress disorder: the relation between autobiographicalmemory, future goals, and current self-views. Journal of anxiety disorders, 52, 34–42. https://doi.org/10.1016/j.janxdis.2017.09.007.

    Article  PubMed  Google Scholar 

  37. Kollárik, M., van den Hout, M., Heinzel, C. V., Hofer, P. D., Lieb, R., & Wahl, K. (2020). Effects of rumination on unwanted intrusive thoughts: A replication and extension. Journal of Experimental Psychopathology, 11(1), 1–16. https://doi.org/10.1177/2043808720912583

    Article  Google Scholar 

  38. Kvavilashvili, L., & Mandler, G. (2004). Out of one’s mind: A study of involuntary semantic memories. Cognitive Psychology, 48(1), 47–94. https://doi.org/10.1016/S0010-0285(03)00115-4

    Article  PubMed  Google Scholar 

  39. Loosen, A. M., Skvortsova, V., & Hauser, T. U. (2020). A Selective Increase in OC Symptoms is Driving Information Seeking and Guideline Adherence During the Covid-19 Pandemic. medRxiv. doi: https://doi.org/10.1101/2020.12.08.20245803

  40. MacLeod, A. K. (2016). Prospection, well-being and memory. Memory Studies, 9(3), 266–274. https://doi.org/10.1177/1750698016645233

    Article  Google Scholar 

  41. Marchetti, I., Koster, E., Klinger, E., & Alloy, L. B. (2016). Spontaneous Thought and Vulnerability to Mood Disorders: The Dark Side of the Wandering Mind. Clinical Psychological Science : A Journal of the Association for Psychological Science, 4(5), 835–857. https://doi.org/10.1177/2167702615622383

    Article  Google Scholar 

  42. McVay, J. C., & Kane, M. J. (2010). Does mind wandering reflect executive function or executive failure? Comment on Smallwood and Schooler (2006) and Watkins (2008). Psychological Bulletin, 136(2), 188–197. https://doi.org/10.1037/a0018298

    Article  PubMed  PubMed Central  Google Scholar 

  43. Miloyan, B., Bulley, A., & Suddendorf, T. (2016). Episodic foresight and anxiety: Proximate and ultimate perspectives. British Journal of Clinical Psychology, 55(1), 4–22. https://doi.org/10.1111/bjc.12080

    Article  Google Scholar 

  44. Moukhtarian, T., Reinhard, I., Morillas Romero, A., Ryckaert, C., Mowlem, F., Bozhilova, N., Moran, P., Ebner-Priemer, U., & Asherson, P. (2020). Wandering minds in attention-deficit/hyperactivity disorder and borderline personality disorder. European Neuropsychopharmacology, 38, 98–109. https://doi.org/10.1016/j.euroneuro.2020.07.005

    Article  PubMed  Google Scholar 

  45. Mrazek, M. D., Phillips, D. T., Franklin, M. S., Broadway, J. M., & Schooler, J. W. (2013). Young and restless: Validation of the Mind-Wandering Questionnaire (MWQ) reveals disruptive impact of mind-wandering for youth. Frontiers in Psychology, 4, 560.

    Article  Google Scholar 

  46. Murray, S., Krasich, K., Schooler, J. W., & Seli, P. (2020). What’s in a task? Complications in the study of the task-unrelated-thought variety of mind wandering. Perspectives on Psychological Science, 15(3), 572–588. https://doi.org/10.1177/1745691619897966

    Article  PubMed  Google Scholar 

  47. Pauls, D. L., Abramovitch, A., Rauch, S. L., & Geller, D. A. (2014). Obsessive–compulsive disorder: An integrative genetic and neurobiological perspective. Nature Reviews: Neuroscience, 15(6), 410–424. https://doi.org/10.1038/nrn3746

    Article  PubMed  Google Scholar 

  48. Plimpton, B., Patel, P., & Kvavilashvili, L. (2015). Role of triggers and dysphoria in mind-wandering about past, present and future: A laboratory study. Consciousness and Cognition, 33, 261–276. https://doi.org/10.1016/j.concog.2015.01.014

    Article  PubMed  Google Scholar 

  49. Poerio, G. L., Totterdell, P., & Miles, E. (2013). Mind-wandering and negative mood: does one thingreally lead to another? Consciousness and cognition, 22(4), 1412–1421. https://doi.org/10.1016/j.concog.2013.09.012

    Article  PubMed  Google Scholar 

  50. Qualtrics [Computer software]. May, 2020 [Version]. Provo, UT, USA.

  51. Rachman, S. (1997). A cognitive theory of obsessions. Behaviour Research and Therapy, 32, 311–314.

    Article  Google Scholar 

  52. Raune, D., MacLeod, A. K., & Holmes, E. A. (2005). The simulation heuristic and visual imagery in pessimism for future negative events in anxiety. Clinical Psychology and Psychotherapy, 12, 313–325. https://doi.org/10.1002/cpp.455

    Article  Google Scholar 

  53. Ruby, F. J. M., Smallwood, J., Engen, H., & Singer, T. (2013). How Self-Generated Thought Shapes Mood—The Relation betweenMind-Wandering and Mood Depends on the Socio-Temporal Content of Thoughts. PLoS ONE, 8(10), https://doi.org/10.1371/journal.pone.0077554

    Article  PubMed  PubMed Central  Google Scholar 

  54. Salkovskis, P. M. (1985). Obsessional-compulsive problems: A cognitive-behavioural analysis. Behaviour Research and Therapy, 23(5), 571–583. https://doi.org/10.1016/0005-7967(85)90105-6

    Article  PubMed  Google Scholar 

  55. Schatz, D. B., & Rostain, A. L. (2006). ADHD with comorbid anxiety: A review of the current literature. Journal of Attention Disorders, 10(2), 141–149. https://doi.org/10.1177/1087054706286698

    Article  PubMed  Google Scholar 

  56. Schooler, J. W., Reichle, E. D., & Halpern, D. V. (2004). Zoning out while reading: Evidence for dissociations between experience and metaconsciousness. In D. Levin (Ed.), Thinking and seeing: Visual metacognition in adults and children (pp. 203–226). Cambridge: MIT Press.

    Google Scholar 

  57. Schooler, J. W., Smallwood, J., Christoff, K., Handy, T. C., Reichle, E. D., & Sayette, M. A. (2011). Meta-awareness, perceptual decoupling and the wandering mind. Trends in Cognitive Sciences, 15(7), 319–326.

    PubMed  Google Scholar 

  58. Seli, P., Carriere, J. S. A., & Smilek, D. (2014). Not all mind wandering is created equal: Dissociating deliberate from spontaneous mind wandering. Psychological Research Psychologische Forschung, 79, 750–758.

    Article  Google Scholar 

  59. Seli, P., Cheyne, J. A., Xu, M., Purdon, C., & Smilek, D. (2015). Motivation, intentionality, and mind wandering: Implications for assessments of task-unrelated thought. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(5), 1417–1425. https://doi.org/10.1037/xlm0000116

    Article  PubMed  Google Scholar 

  60. Seli, P., Risko, E. F., Purdon, C., & Smilek, D. (2017). Intrusive thoughts linking spontaneous mind wandering and OCD symptomatology. Psychological Research Psychologische Forschung, 81, 392–398. https://doi.org/10.1007/s00426-016-0756-3

    Article  PubMed  Google Scholar 

  61. Seli, P., Kane, M. J., Smallwood, J., Schacter, D. L., Maillet, D., Schooler, J. W., & Smilek, D. (2018). Mind-wandering as a natural kind: A family-resemblances view. Trends in Cognitive Sciences, 22(6), 479–490. https://doi.org/10.1016/j.tics.2018.03.010

    Article  PubMed  PubMed Central  Google Scholar 

  62. Seli, P., Beaty, R. E., Marty-Dugas, J., & Smilek, D. (2019). Depression, anxiety, and stress and the distinction between intentional and unintentional mind wandering. Psychology of Consciousness: Theory, Research, and Practice, 6(2), 163. https://doi.org/10.1037/cns0000182

    Article  Google Scholar 

  63. Shafran, R., Coughtrey, A., & Whittal, M. (2020). Recognising and addressing the impact of COVID-19 on obsessive-compulsive disorder. The Lancet Psychiatry, 7(7), 570–572.

    Article  Google Scholar 

  64. Shuja, K. H., Aqeel, M., Jaffar, A., & Ahmed, A. (2020). COVID-19 Pandemic and Impending Global Mental Health Implications. Psychiatria Danubina32(1), 32–35. https://doi.org/10.24869/psyd.2020.32

  65. Singer, J. L. (1966). Daydreaming. New York: Random House.

    Google Scholar 

  66. Smallwood, J., & Andrews-Hanna, J. (2013). Not all minds that wander are lost: The importance of a balanced perspective on the mind-wandering state. Frontiers in Psychology, 4, 441. https://doi.org/10.3389/fpsyg.2013.00441

    Article  PubMed  PubMed Central  Google Scholar 

  67. Soffer-Dudek, N. (2019). Dissociative absorption, mind-wandering, and attention-deficit symptoms: Associations with obsessive-compulsive symptoms. British Journal of Clinical Psychology, 58(1), 51–69. https://doi.org/10.1111/bjc.12186

    Article  Google Scholar 

  68. Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092–1097. https://doi.org/10.1001/archinte.166.10.1092 PMID: 16717171.

    Article  Google Scholar 

  69. Stawarczyk, D., Majerus, S., Maj, M., Van Der Linden, M., & D’Argembeau, A. (2011). Mind-wandering: Phenomenology and function as assessed with a novel experience sampling method. Acta Psychologica, 136, 370–381. https://doi.org/10.1016/j.actpsy.2011.01.002

    Article  PubMed  Google Scholar 

  70. Stawarczyk, D., Cassol, H., & D’Argembeau, A. (2013). Phenomenology of future-oriented mind-wandering episodes. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2013.00425

    Article  PubMed  PubMed Central  Google Scholar 

  71. Szpunar, K. K., Moulton, S. T., & Schacter, D. L. (2013). Mind wandering and education: From the classroom to online learning. Frontiers in Psychology, 4(1), 495. https://doi.org/10.3389/fpsyg.2013.00495

    Article  PubMed  PubMed Central  Google Scholar 

  72. Thompson, B. (1995). Stepwise regression and stepwise discriminant analysis need not apply here: A guidelines editorial. Educational and Psychological Measurement, 55(4), 525–534. https://doi.org/10.1177/0013164495055004001

    Article  Google Scholar 

  73. Warden, E. A., Plimpton, B., & Kvavilashvili, L. (2019). Absence of age effects on spontaneous past and future thinking in daily life. Psychological Research Psychologische Forschung, 83, 727–746. https://doi.org/10.1007/s00426-018-1103-7

    Article  PubMed  Google Scholar 

  74. Watkins, E., & Teasdale, J. D. (2001). Rumination and overgeneral memory in depression: Effects of self-focus and analytic thinking. Journal of Abnormal Psychology, 110, 353–357. https://doi.org/10.1037/0021-843x.110.2.333

    Article  PubMed  Google Scholar 

  75. Zeman, A., Dewar, M., & Della Sala, S. (2015). Lives without imagery—Congenital aphantasia. Cortex, 73, 378–380. https://doi.org/10.1016/j.cortex.2015.05.019

    Article  PubMed  Google Scholar 

  76. Zermatten, A., Van der Linden, M., D’Argembeau, A., & Ceschi, G. (2008). Phenomenal characteristics of autobiographical memories and imagined events in sub-clinical obsessive-compulsive checkers. Applied Cognitive Psychology, 22(1), 113–125. https://doi.org/10.1002/acp.1365

    Article  Google Scholar 

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Acknowledgements

The authors thank Magda Jordão for comments on an earlier version of this manuscript and Paul Seli for advice regarding statistical analysis.

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SC and PT conceived this research and designed experiments; SC advised on analysis; PT was responsible for programming, data collection and analysis. SC and PT wrote the paper and participated in the revisions of it. All authors read and approved the final manuscript.

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Cole, S.N., Tubbs, P.M.C. Predictors of obsessive–compulsive symptomology: mind wandering about the past and future. Psychological Research (2021). https://doi.org/10.1007/s00426-021-01585-4

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