Scary symptoms? Functional magnetic resonance imaging evidence for symptom interpretation bias in pathological health anxiety
Patients with pathological health anxiety (PHA) tend to automatically interpret bodily sensations as sign of a severe illness. To elucidate the neural correlates of this cognitive bias, we applied an functional magnetic resonance imaging adaption of a body-symptom implicit association test with symptom words in patients with PHA (n = 32) in comparison to patients with depression (n = 29) and healthy participants (n = 35). On the behavioral level, patients with PHA did not significantly differ from the control groups. However, on the neural-level patients with PHA in comparison to the control groups showed hyperactivation independent of condition in bilateral amygdala, right parietal lobe, and left nucleus accumbens. Moreover, patients with PHA, again in comparison to the control groups, showed hyperactivation in bilateral posterior parietal cortex and left dorsolateral prefrontal cortex during incongruent (i.e., harmless) versus congruent (i.e., dangerous) categorizations of body symptoms. Thus, body-symptom cues seem to trigger hyperactivity in salience and emotion processing brain regions in PHA. In addition, hyperactivity in brain regions involved in cognitive control and conflict resolution during incongruent categorization emphasizes enhanced neural effort to cope with negative implicit associations to body-symptom-related information in PHA. These results suggest increased neural responding in key structures for the processing of both emotional and cognitive aspects of body-symptom information in PHA, reflecting potential neural correlates of a negative somatic symptom interpretation bias.
KeywordsPathological health anxiety Implicit association test Functional magnetic resonance imaging Cognitive control Emotional response
We thank Iris Wollgarten, Tobias Kerstner, and Julia Ofer for invaluable help with study organization and diagnostics. We thank Vera Zamoscik and Heike Schmidt for their excellent help in data collection. We are grateful to Fred Rist for important suggestions on study design and implementation. This study was supported by the Deutsche Forschungsgemeinschaft (DFG BA1597/5-1). Zhimin Yan is supported by the Chinese Scholarship Council (CSC).
Compliance with ethical standards
Conflict of interest
The authors have no conflicts of interest to declare.
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