Experimental Brain Research

, Volume 236, Issue 9, pp 2519–2528 | Cite as

Reduced mind wandering in experienced meditators and associated EEG correlates

  • Tracy BrandmeyerEmail author
  • Arnaud Delorme
Research Article


One outstanding question in the contemplative science literature relates to the direct impact of meditation experience on the monitoring of internal states and its respective correspondence with neural activity. In particular, to what extent does meditation influence the awareness, duration and frequency of the tendency of the mind to wander. To assess the relation between mind wandering and meditation, we tested 2 groups of meditators, one with a moderate level of experience (non-expert) and those who are well advanced in their practice (expert). We designed a novel paradigm using self-reports of internal mental states based on an experiential sampling probe paradigm presented during ~1 h of seated concentration meditation to gain insight into the dynamic measures of electroencephalography (EEG) during absorption in meditation as compared to reported mind wandering episodes. Our results show that expert meditation practitioners report a greater depth and frequency of sustained meditation, whereas non-expert practitioners report a greater depth and frequency of mind wandering episodes. This is one of the first direct behavioral indices of meditation expertise and its associated impact on the reduced frequency of mind wandering, with corresponding EEG activations showing increased frontal midline theta and somatosensory alpha rhythms during meditation as compared to mind wandering in expert practitioners. Frontal midline theta and somatosensory alpha rhythms are often observed during executive functioning, cognitive control and the active monitoring of sensory information. Our study thus provides additional new evidence to support the hypothesis that the maintenance of both internal and external orientations of attention may be maintained by similar neural mechanisms and that these mechanisms may be modulated by meditation training.


Mind wandering Meditation fm theta Alpha Cognitive control Top-down processing 



This work was supported by Grants from the ANR (Agence Nationale pour la Recherche) ANR-12-JSH2-0009 and the BIAL foundation BIAL-08-162. The authors wish to thank the late Swami Veda, Gopalkrishna Prabhu, Pravin Kumar Soni, John Sellinger and all the members of the Swami Rama Sadhaka Grama ashram where the data were collected and the volunteers who participated in this study.


  1. Aftanas LI, Golocheikine SA (2001) Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation. Neurosci Lett 310(1):57–60CrossRefPubMedGoogle Scholar
  2. Baars BJ (2005) Global workspace theory of consciousness: toward a cognitive neuroscience of human experience. Prog Brain Res 150:45–53CrossRefPubMedGoogle Scholar
  3. Baird B, Smallwood J, Mrazek MD, Kam JW, Franklin MS, Schooler JW (2012) Inspired by distraction mind wandering facilitates creative incubation. Psychol Sci 0956797612446024Google Scholar
  4. Baird B, Mrazek M, Phillips DT, Schooler JW (2014) Domain-specific enhancement of metacognitive ability following meditation training. J Exp Psychol Gen 143(5):1972–1979CrossRefPubMedGoogle Scholar
  5. Benjamini Y, Yekutieli D (2001) The control of the false discovery rate in multiple testing under dependency. Ann Stat 29:1165–1188CrossRefGoogle Scholar
  6. Berkovich-Ohana A, Harel M, Hahamy A, Arieli A, Malach R (2016) Data for default network reduced functional connectivity in meditators, negatively correlated with meditation expertise. Data Brief 8:910–914CrossRefPubMedPubMedCentralGoogle Scholar
  7. Bollimunta A, Chen Y, Schroeder CE, Ding M (2009) Characterizing oscillatory cortical networks with Granger causality. In: Rubin J, Josic K, Matias M, Romo R (eds). Coherent behavior in neuronal networks. Springer, New York, pp 169–189Google Scholar
  8. Bollimunta A, Mo J, Schroeder CE, Ding M (2011) Neuronal mechanisms and attentional modulation of corticothalamic alpha oscillations. J Neurosci 31:4935–4943CrossRefPubMedPubMedCentralGoogle Scholar
  9. Braboszcz C, Delorme A (2011) Lost in thoughts: neural markers of low alertness during mind wandering. Neuroimage 54(4):3040–3047CrossRefPubMedGoogle Scholar
  10. Buckner RL, Andrews-Hanna JR, Schacter DL (2008) The brain’s default network. Ann NY Acad Sci 1124(1):1–38CrossRefPubMedGoogle Scholar
  11. Cahn BR, Polich J (2006) Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol Bull 132(2):180CrossRefPubMedGoogle Scholar
  12. Cavanagh J, Frank M (2014) Frontal theta as a mechanism for cognitive control. Trends Cogn Sci 18(8):414–421CrossRefPubMedPubMedCentralGoogle Scholar
  13. Cavanagh JF, Shackman AJ (2015) Frontal midline theta reflects anxiety and cognitive control: meta-analytic evidence. J Physiol Paris 109(1):3–15CrossRefPubMedGoogle Scholar
  14. Christoff K, Gordon AM, Smallwood J, Smith R, Schooler JW (2009) Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proc Natl Acad Sci 106(21):8719–8724CrossRefPubMedGoogle Scholar
  15. deBettencourt MT, Cohen JD, Lee RF, Norman KA, Turk-Browne NB (2015) Closed-loop training of attention with real-time brain imaging. Nat Neurosci 18(3):470–475CrossRefPubMedPubMedCentralGoogle Scholar
  16. Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134(1):9–21CrossRefPubMedGoogle Scholar
  17. Delorme A, Sejnowski T, Makeig S (2007) Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. Neuroimage 34(4):1443–1449CrossRefPubMedGoogle Scholar
  18. Desbordes G, Gard T, Hoge EA, Hölzel BK, Kerr C, Lazar SW, Olendzki A, Vago DR (2015) Moving beyond mindfulness: defining equanimity as an outcome measure in meditation and contemplative research. Mindfulness 6(2):356–372CrossRefGoogle Scholar
  19. Enriquez-Geppert S, Huster RJ, Scharfenort R, Mokom ZN, Zimmermann J, Herrmann CS (2014) Modulation of frontal-midline theta by neurofeedback. Biol Psychol 95:59–69CrossRefPubMedGoogle Scholar
  20. Garrison KA, Zeffiro TA, Scheinost D, Constable RT, Brewer JA (2015) Meditation leads to reduced default mode network activity beyond an active task. Cogn Affect Behav Neurosci 15(3):712–720CrossRefPubMedPubMedCentralGoogle Scholar
  21. Gusnard DA, Raichle ME (2001) Searching for a baseline: functional imaging and the resting human brain. Nat Rev Neurosci 2(10):685–694CrossRefPubMedGoogle Scholar
  22. Haegens S, Osipova D, Oostenveld R, Jensen O (2010) Somatosensory working memory performance in humans depends on both engagement and disengagement of regions in a distributed network. Hum Brain Mapp 31(1):26–35PubMedGoogle Scholar
  23. Hasenkamp W, Barsalou LW (2012) Effects of meditation experience on functional connectivity of distributed brain networks. Front Hum Neurosci 6:38CrossRefPubMedPubMedCentralGoogle Scholar
  24. Hirsh JB, Inzlicht M (2010) Error-related negativity predicts academic performance. Psychophysiology 47(1):192–196CrossRefPubMedGoogle Scholar
  25. Hölzel BK, Lazar SW, Gard T, Schuman-Olivier Z, Vago DR, Ott U (2011) How does mindfulness meditation work? Proposing mechanisms of action from a conceptual and neural perspective. Perspect Psychol Sci 6(6):537–559CrossRefPubMedGoogle Scholar
  26. James W (1890) The principles of psychology. Holt, New YorkGoogle Scholar
  27. Jang JH, Jung WH, Kang DH, Byun MS, Kwon SJ, Choi CH, Kwon JS (2011) Increased default mode network connectivity associated with meditation. Neurosci Lett 487(3):358–362CrossRefPubMedGoogle Scholar
  28. Kaser M, Soltesz F, Lawrence P, Miller S, Dodds C, Croft R et al (2013) Oscillatory underpinnings of mismatch negativity and their relationship with cognitive function in patients with schizophrenia. PLoS ONE 8(12):e83255CrossRefPubMedPubMedCentralGoogle Scholar
  29. Kerr CE, Jones SR, Wan Q, Pritchett DL, Wasserman RH, Wexler A et al (2011) Effects of mindfulness meditation training on anticipatory alpha modulation in primary somatosensory cortex. Brain Res Bull 85(3):96–103CrossRefPubMedGoogle Scholar
  30. Kerr CE, Sacchet MD, Lazar SW, Moore CI, Jones SR (2013) Mindfulness starts with the body: somatosensory attention and top-down modulation of cortical alpha rhythms in mindfulness meditation. Front Hum Neurosci 7:12PubMedPubMedCentralGoogle Scholar
  31. Killingsworth MA, Gilbert DT (2010) A wandering mind is an unhappy mind. Science 330(6006):932CrossRefPubMedGoogle Scholar
  32. Maris E, Oostenveld R (2007) Nonparametric statistical testing of EEG-and MEG-data. J Neurosci Methods 164(1):177–190CrossRefPubMedGoogle Scholar
  33. Mazaheri A, Fassbender C, Coffey-Corina S, Hartanto TA, Schweitzer JB, Mangun GR (2014) Differential oscillatory electroencephalogram between attention-deficit/hyperactivity disorder subtypes and typically developing adolescents. Biol Psychiatry 76(5):422–429CrossRefPubMedGoogle Scholar
  34. Morecraft RJ, Tanji J (2009) Cingulofrontal interactions and the cingulate motor areas. In: Vogt BA (ed) Cingulate neurobiology and disease. Oxford University Press, Oxford, pp 113–144Google Scholar
  35. Mrazek MD, Smallwood J, Schooler JW (2012) Mindfulness & mind-wandering: finding convergence through opposing constructs. Emotion. doi: 10.1037/a0026678 PubMedCrossRefGoogle Scholar
  36. Mrazek MD, Franklin MS, Phillips DT, Baird B, Schooler JW (2013) Mindfulness training improves working memory capacity & GRE performance while reducing mind wandering. Psychol Sci 24(5):776–781CrossRefPubMedGoogle Scholar
  37. Poerio G, Totterdell P, Miles E (2013) Mind wandering and negative mood: does one thing really lead to another? Conscious Cogn 22(4):1412–1421CrossRefPubMedGoogle Scholar
  38. Raichle ME (2015) The brain’s default mode network. Annu Rev Neurosci 38:433–447CrossRefPubMedGoogle Scholar
  39. Schooler JW, Smallwood J, Christoff K, Handy TC, Reichle ED, Sayette MA (2011) Meta-awareness, perceptual decoupling and the wandering mind. Trends Cogn Sci 15(7):319–326PubMedGoogle Scholar
  40. Segal ZV, Teasdale JD, Williams JMG (2004) Mindfulness-based cognitive therapy: theoretical rationale and empirical status. In: Hayes SC, Follette VM, Linehan M (eds) Mindfulness and acceptance: expanding the cognitive-behavioral tradition. Guilford Press, New York, NY, pp 45–65Google Scholar
  41. Slagter HA, Lutz A, Greischar LL, Francis AD, Nieuwenhuis S, Davis JM, Davidson RJ (2007) Mental training affects distribution of limited brain resources. PLoS Biol 5(6):e138CrossRefPubMedPubMedCentralGoogle Scholar
  42. Smallwood J, Schooler JW (2006) The restless mind. Psychol Bull 132(6):946CrossRefPubMedGoogle Scholar
  43. Smallwood J, Baracaia S, Lowe M, Obonsawin M (2003) Task unrelated thought whilst encoding information. Conscious Cogn 12(3):452–484CrossRefPubMedGoogle Scholar
  44. Smallwood J, Fishman DJ, Schooler JW (2007) Counting the cost of an absent mind: mind wandering as an underrecognized influence on educational performance. Psychon Bull Rev 14(2):230–236CrossRefPubMedGoogle Scholar
  45. Spreng RN (2012) The fallacy of a “task-negative” network. Front Psychol 3:145CrossRefPubMedPubMedCentralGoogle Scholar
  46. Spreng RN, Sepulcre J, Turner GR, Stevens WD, Schacter DL (2013) Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain. J Cogn Neurosci 25(1):74–86CrossRefPubMedGoogle Scholar
  47. Swick D, Turken U (2002) Dissociation between conflict detection and error monitoring in the human anterior cingulate cortex. Proc Natl Acad Sci 99(25):6354–16359CrossRefGoogle Scholar
  48. Sze JA, Gyurak A, Yuan JW, Levenson RW (2010) Coherence between emotional experience and physiology: does body awareness training have an impact? Emotion 10:803–814CrossRefPubMedPubMedCentralGoogle Scholar
  49. Tang YY, Hölzel BK, Posner MI (2015) The neuroscience of mindfulness meditation. Nat Rev Neurosci 16(4):213–225CrossRefPubMedGoogle Scholar
  50. Teper R, Inzlicht M (2013) Meditation, mindfulness and executive control: the importance of emotional acceptance and brain-based performance monitoring. Soc Cogn Affect Neurosci 8(1):85–92CrossRefPubMedGoogle Scholar
  51. Welch PD (1967) The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoust 15(2):70–73CrossRefGoogle Scholar
  52. Whitmarsh S, Barendregt H, Schoffelen JM, Jensen O (2014) Metacognitive awareness of covert somatosensory attention corresponds to contralateral alpha power. Neuroimage 85:803–809CrossRefPubMedGoogle Scholar
  53. Yordanova J, Kolev V, Rothenberger A (2013) Event-related oscillations reflect functional asymmetry in children with attention deficit/hyperactivity disorder. Clin Neurophysiol 62:289–301Google Scholar
  54. Zanesco AP, King BG, MacLean KA, Jacobs TL, Aichele SR, Wallace BA, Saron CD (2016) Meditation training influences mind wandering and mindless reading. Psychol Conscious Theory Res Pract 3(1):12CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Centre National de la Recherche Scientifique (CNRS), Unité Mixte de Recherche 5549, Faculté de Médecine PurpanToulouseFrance
  2. 2.Swartz Center for Computational Neuroscience, Institute of Neural ComputationUniversity of CaliforniaSan DiegoUSA
  3. 3.Institute of Noetic SciencesPetalumaUSA
  4. 4.Centre de Recherche Cerveau et Cognition, Université Paul SabatierToulouseFrance

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