Toward a model-based cognitive neuroscience of mind wandering

Neuroscience

Volumn 310, Issue , 2015, Pages 290-305

  Hawkins, G E ^a   Mittner, M ^b   Boekel, W ^a   Heathcote, A ^c   Forstmann, B U ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b UNIVERSITY OF TROMSØ   (Norway)

^c UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Mind wandering; Mixture model; Model based cognitive neuroscience; Sequential sampling model; Single trial regression; Task unrelated thoughts

Indexed keywords

ARTICLE; BAYES THEOREM; COGNITION; DECISION MAKING; HIDDEN MARKOV MODEL; MACHINE LEARNING; MATHEMATICAL MODEL; MIND WANDERING; PRIORITY JOURNAL; REGRESSION ANALYSIS; RESPONSE TIME; SEQUENTIAL ANALYSIS; TASK PERFORMANCE; THINKING; ATTENTION; BIOLOGICAL MODEL; BRAIN; HUMAN; IMAGINATION; MARKOV CHAIN; PHYSIOLOGY;

ATTENTION; BRAIN; COGNITION; DECISION MAKING; HUMANS; IMAGINATION; MARKOV CHAINS; MODELS, NEUROLOGICAL; THINKING;

EID: 84943552287     PISSN: 03064522     EISSN: 18737544     Source Type: Journal    
DOI: 10.1016/j.neuroscience.2015.09.053     Document Type: Review

References (108)

1. Andrews-Hanna J.R., Reidler J.S., Huang C., Buckner R.L. Evidence for the default network's role in spontaneous cognition. J Neurophysiol 2010, 104:322-335.
2. Bartlema A., Lee M., Wetzels R., Vanpaemel W. A Bayesian hierarchical mixture approach to individual differences: case studies in selective attention and representation in category learning. J Math Psychol 2014, 59:132-150.
3. Bastian M., Sackur J. Mind wandering at the fingertips: automatic parsing of subjective states based on response time variability. Front Psychol 2013, 10.3389/fpsyg.2013.00573.
4. Bhandari A., Duncan J. Goal neglect and knowledge chunking in the construction of novel behavior. Cognition 2014, 130:11-30.
5. Bode S., Sewell D.K., Lilburn S., Forte J.D., Smith P.L., Stahl J. Predicting perceptual decision biases from early brain activity. J Neurosci 2012, 32:12488-12498.
6. Bompas A., Sumner P., Muthumumaraswamy S.D., Singh K.D., Gilchrist I.D. The contribution of pre-stimulus neural oscillatory activity to spontaneous response time variability. Neuroimage 2015, 107:34-45.
7. Borst J.P., Anderson J.R. The discovery of processing stages: analyzing EEG data with hidden semi-Markov models. Neuroimage 2015, 108:60-73.
8. Braboszcz C., Delorme A. Lost in thoughts: neural markers of low alertness during mind wandering. Neuroimage 2011, 54:3040-3047.
9. Brown S.D., Heathcote A. The simplest complete model of choice reaction time: linear ballistic accumulation. Cogn Psychol 2008, 57:153-178.
10. Busemeyer J.R., Townsend J.T. Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. Psychol Rev 1993, 100:432-459.
11. Casner S.M., Schooler J.W. Vigilance impossible: diligence, distraction, and daydreaming all lead to failures in a practical monitoring task. Conscious Cogn 2015, 35:33-41.
12. Cavanagh J.F., Wiecki T.V., Cohen M.X., Figueroa C.M., Samanta J., Sherman S.J., Frank M.J. Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nat Neurosci 2011, 14:1462-1467.
13. Cheyne J.A., Solman G.J., Carriere J.S., Smilek D. Anatomy of an error: a bidirectional state model of task engagement/disengagement and attention-related errors. Cognition 2009, 111:98-113.
14. Christoff K., Gordon A.M., Smallwood J., Smith R., Schooler J.W. Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proc Natl Acad Sci U S A 2009, 106:8719-8724.
15. Cooper N.R., Croft R.J., Dominey S.J., Burgess A.P., Gruzelier J.H. Paradox lost? Exploring the role of alpha oscillations during externally vs. internally directed attention and the implications for idling and inhibition hypotheses. Int J Psychophysiol 2003, 47:65-74.
16. Deng Y.-Q., Li S., Tang Y.-Y. The relationship between wandering mind, depression and mindfulness. Mindfulness 2014, 5:124-128.
17. Donkin C., Averell L., Brown S.D., Heathcote A. Getting more from accuracy and response time data: methods for fitting the linear ballistic accumulator model. Behav Res Methods 2009, 41:1095-1110.
18. Duncan J., Emslie H., Williams P., Johnson R., Freer C. Intelligence and the frontal lobe: the organization of goal-directed behavior. Cogn Psychol 1996, 30:257-303.
19. Duncan J., Parr A., Woolgar A., Thompson R., Bright P., Cox S., Bishop S., Nimmo-Smith I. Goal neglect and Spearman's g: competing parts of a complex task. J Exp Psychol Gen 2008, 137:131-148.
20. Duncan J., Schramm M., Thompson R., Dumontheil I. Task rules, working memory, and fluid intelligence. Psychon Bull Rev 2012, 19:864-870.
21. Eichele T., Debener S., Calhoun V.D., Specht K., Engel A.K., Hugdahl K., Von Cramen D., Ullsperger M. Prediction of human errors by maladaptive changes in event-related brain networks. Proc Natl Acad Sci U S A 2008, 105:6173-6178.
22. Eidels A., Donkin C., Brown S.D., Heathcote A. Converging measures of workload capacity. Psychon Bull Rev 2010, 17:763-771.
23. Ergenoglu T., Demiralp T., Bayraktaroglu Z., Ergen M., Beydagi H., Uresin Y. Alpha rhythm of the EEG modulates visual detection performance in humans. Cogn Brain Res 2004, 20:376-383.
24. An introduction to model-based cognitive neuroscience 2015, Springer. B.U. Forstmann, E.-J. Wagenmakers (Eds.).
25. Forstmann B.U., Dutilh G., Brown S., Neumann J., Von Cramon D.Y., Ridderinkhof K.R., Wagenmakers E.-J. Striatum and pre-SMA facilitate decision-making under time pressure. Proc Natl Acad Sci U S A 2008, 105:17538-17542.
26. Forstmann BU, Ratcliff R, Wagenmakers E-J (in press) Sequential sampling models in cognitive neuroscience: advantages, applications, and extensions. Annu Rev Psychol. http://dx.doi.org/10.1146/annurev-psych-122414-033645. http://dx.doi.org/10.1146/annurev-psych-122414-033645.
27. Frank M.J., Gagne C., Nyhus E., Masters S., Wiecki T.V., Cavanagh J.F., Badre D. FMRI and EEG predictors of dynamic decision parameters during human reinforcement learning. J Neurosci 2015, 35:485-494.
28. Franklin MS, Mrazek MD, Anderson CL, Johnston C, Smallwood J, Kingstone A, Schooler JW (in press) Tracking distraction: the relationship between mind-wandering, meta-awareness and ADHD symptomatology. J Atten Disord. http://dx.doi.org/10.1177/1087054714543494. http://dx.doi.org/10.1177/1087054714543494.
29. Giambra L.M. A laboratory method for investigating influences on switching attention to task-unrelated imagery and thought. Conscious Cogn 1995, 4:1-21.
30. Gomez P., Ratcliff R., Perea M. A model of the go/no-go task. J Exp Psychol Gen 2007, 136:389-413.
31. Green D.M., Swets J.A. Signal detection theory and psychophysics 1966, Wiley, New York.
32. Hawkins GE, Hayes BK, Donkin C, Pasqualino M, Newell BR (in press-a) A Bayesian latent-mixture model analysis shows that informative samples reduce base-rate neglect. Decision. http://dx.doi.org/10.1037/dec0000024. http://dx.doi.org/10.1037/dec0000024.
33. Hawkins GE, Hayes BK, Heit E (in press-b) A dynamic model of reasoning and memory. J Exp Psychol Gen.
34. Heathcote A., Brown S.D., Wagenmakers E.-J. An introduction to good practices in cognitive modeling. An introduction to model-based cognitive neuroscience 2015, 25-48. Springer, New York. B.U. Forstmann, E.-J. Wagenmakers (Eds.).
35. Heathcote A., Loft S., Remington R.W. Slow down and remember to remember! A delay theory of prospective memory costs. Psychol Rev 2015, 122:367-410.
36. Heathcote A, Suraev A, Curley S, Love J, Michie P (in press) Decision processes and the slowing of simple choices in schizophrenia. J Abnorm Psychol.
37. Kane M.J., Engle R.W. Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. J Exp Psychol Gen 2003, 132:47-70.
38. Kane M.J., McVay J.C. What mind wandering reveals about executive-control abilities and failures. Curr Dir Psychol Sci 2012, 21:348-354.
39. Kane M.J., Brown L.H., McVay J.C., Silvia P.J., Myin-Germeys I., Kwapil T.R. For whom the mind wanders, and when: an experience-sampling study of working memory and executive control in daily life. Psychol Sci 2007, 18:614-621.
40. Killingsworth M.A., Gilbert D.T. A wandering mind is an unhappy mind. Science 2010, 330:932.
41. Klimesch W., Sauseng P., Hanslmayr S. EEG alpha oscillations: the inhibition-timing hypothesis. Brain Res Rev 2007, 53:63-88.
42. Lee M.D., Wagenmakers E.-J. Bayesian cognitive modeling: a practical course 2013, Cambridge University Press, New York.
43. Lewandowsky S., Farrell S. Computational modeling in cognition 2011, Sage, California.
44. Loft S., Remington R.W. Brief delays in responding reduce focality effects in event-based prospective memory. Q J Exp Psychol 2013, 66:1432-1447.
45. Logan G.D., Van Zandt T., Verbruggen F., Wagenmakers E.-J. On the ability to inhibit thought and action: general and special theories of an act of control. Psychol Rev 2014, 121:66-95.
46. Luria A.R. Higher cortical functions in man 1966, Tavistock, London.
47. Macdonald J.S., Mathan S., Yeung N. Trial-by-trial variations in subjective attentional state are reflected in ongoing prestimulus EEG alpha oscillations. Front Psychol 2011, 10.3389/fpsyg.2011.00082.
48. Mason M.F., Norton M.I., Van Horn J.D., Wegner D.M., Grafton S.T., Macrae C.N. Wandering minds: the default network and stimulus-independent thought. Science 2007, 315:393-395.
49. Mathewson K.E., Gratton G., Fabiani M., Beck D.M., Ro T. To see or not to see: pre-stimulus α phase predicts visual awareness. J Neurosci 2009, 29:2725-2732.
50. Matzke D., Wagenmakers E.-J. Psychological interpretation of the ex-Gaussian and shifted Wald parameters: a diffusion model analysis. Psychon Bull Rev 2009, 16:798-817.
51. McVay J.C., Kane M.J. Conducting the train of thought: working memory capacity, goal neglect, and mind wandering in an executive-control task. J Exp Psychol Learn Mem Cogn 2009, 35:196-204.
52. McVay J.C., Kane M.J. Does mind wandering reflect executive function or executive failure? Comment on Smallwood and Schooler (2006) and Watkins (2008). Psychol Bull 2010, 136:188-207.
53. McVay J.C., Kane M.J. Drifting from slow to "D'oh!": working memory capacity and mind wandering predict extreme reaction times and executive control errors. J Exp Psychol Learn Mem Cogn 2012, 38:525-549.
54. McVay J.C., Kane M.J. Why does working memory capacity predict variation in reading comprehension? On the influence of mind wandering and executive attention. J Exp Psychol Gen 2012, 141:302-320.
55. Mittner M., Boekel W., Tucker A., Turner B.M., Heathcote A., Forstmann B.U. When the brain takes a break: a model-based analysis of mind wandering. J Neurosci 2014, 34:16286-16295.
56. Mrazek M.D., Chin J.M., Schmader T., Hartson K.A., Smallwood J., Schooler J.W. Threatened to distraction: mind-wandering as a consequence of stereotype threat. J Exp Soc Psychol 2011, 47:1243-1248.
57. Mrazek M.D., Smallwood J., Franklin M.S., Chin J.M., Baird B., Schooler J.W. The role of mind-wandering in measurements of general aptitude. J Exp Psychol Gen 2012, 141:788-798.
58. Nunez M.D., Srinivasan R., Vandekerckhove J. Individual differences in attention influence perceptual decision making. Front Psychol 2015, 10.3389/fpsyg.2015.00018.
59. O'Connell R.G., Dockree P.M., Robertson I.H., Bellgrove M.A., Foxe J.J., Kelly S.P. Uncovering the neural signature of lapsing attention: electrophysiological signals predict errors up to 20s before they occur. J Neurosci 2009, 29:8604-8611.
60. Pachella R.G. The interpretation of reaction time in information-processing research. Hum Inf Process: Tutor Perform Cogn 1974, 41-82. Lawrence Erlbaum, Hillsdale, NJ. B.H. Kantowitz (Ed.).
61. Rae B., Heathcote A., Donkin C., Averell L., Brown S. The hare and the tortoise: emphasizing speed can change the evidence used to make decisions. J Exp Psychol Learn Mem Cogn 2014, 40:1226-1243.
62. Ratcliff R. A theory of memory retrieval. Psychol Rev 1978, 85:59-108.
63. Ratcliff R., McKoon G. The diffusion decision model: theory and data for two-choice decision tasks. Neural Comput 2008, 20:873-922.
64. Ratcliff R., Rouder J.N. Modeling response times for two-choice decisions. Psychol Sci 1998, 9:347-356.
65. Ratcliff R., Tuerlinckx F. Estimating parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability. Psychon Bull Rev 2002, 9:438-481.
66. Ratcliff R., Van Dongen H.P.A. Diffusion model for one-choice reaction-time tasks and the cognitive effects of sleep deprivation. Proc Natl Acad Sci U S A 2011, 108:11285-11290.
67. Ratcliff R., Philiastides M.G., Sajda P. Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG. Proc Natl Acad Sci U S A 2009, 106:6539-6544.
68. Reed A.V. Speed-accuracy trade-off in recognition memory. Science 1973, 181:574-576.
69. Roberts G., Anderson M. Task structure complexity and goal neglect in typically developing children. J Exp Child Psychol 2014, 120:59-72.
70. Robertson I.H., Manly T., Andrade J., Baddeley B.T., Yiend J. 'Oops!': performance correlates of everyday attentional failures in traumatic brain injured and normal subjects. Neuropsychologia 1997, 35:747-758.
71. Romei V., Gross J., Thut G. On the role of pre-stimulus alpha rhythms over occipito-parietal areas in visual input recognition: correlation or causation?. J Neurosci 2010, 30:8692-8697.
72. Scheibehenne B., Rieskamp J., Wagenmakers E.-J. Testing adaptive toolbox models: a Bayesian hierarchical approach. Psychol Rev 2013, 120:39-64.
73. Schooler J.W., Smallwood J., Christoff K., Handy T.C., Reichle E.D., Sayette M.A. Meta-awareness, perceptual decoupling and the wandering mind. Trends Cogn Sci 2011, 15:319-326.
74. Seli P., Cheyne J.A., Smilek D. Wandering minds and wavering rhythms: linking mind wandering and behavioral variability. J Exp Psychol Hum Percept Perform 2013, 39:1-5.
75. Seli P., Jonker T.R., Cheyne J.A., Cortes K., Smilek D. Can research participants comment authoritatively on the validity of their self-reports of mind wandering and task engagement?. J Exp Psychol Hum Percept Perform 2015, 41:703-709.
76. Seli P., Smallwood J., Cheyne J.A., Smilek D. On the relation of mind wandering and ADHD symptomatology. Psychon Bull Rev 2015, 22:629-636.
77. Shaw G.A., Giambra L. Task-unrelated thoughts of college students diagnosed as hyperactive in childhood. Dev Neuropsychol 1993, 9:17-30.
78. Shiffrin R.M., Lee M.D., Kim W., Wagenmakers E.-J. A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods. Cogn Sci 2008, 32:1248-1284.
79. Shin D.J., Lee T.Y., Jung W.H., Kim S.N., Jang J.H., Kwon J.S. Away from home: the brain of the wandering mind as a model for schizophrenia. Schizophr Res 2015, 165:83-89.
80. Smallwood J. Why the global availability of mind wandering necessitates resource competition: reply to McVay and Kane (2010). Psychol Bull 2010, 136:202-207.
81. Smallwood J., Schooler J.W. The restless mind. Psychol Bull 2006, 132:946-958.
82. Smallwood J., Schooler J.W. The science of mind wandering: empirically navigating the stream of consciousness. Annu Rev Psychol 2015, 66:487-518.
83. Smallwood J., Davies J.B., Heim D., Finnigan F., Sudberry M., O'Connor R., Obonsawin M. Subjective experience and the attentional lapse: task engagement and disengagement during sustained attention. Conscious Cogn 2004, 13:657-690.
84. Smallwood J., O'Connor R.C., Sudbery M.V., Obonsawin M. Mind-wandering and dysphoria. Cogn Emot 2007, 21:816-842.
85. Smallwood J., Fitzgerald A., Miles L.K., Phillips L.H. Shifting moods, wandering minds: negative moods lead the mind to wander. Emotion 2009, 9:271-276.
86. Smallwood J., Tipper C., Brown K., Baird B., Engen H., Michaels J.R., Grafton S., Schooler J.W. Escaping the here and now: evidence for a role of the default mode network in perceptually decoupled thought. Neuroimage 2013, 69:120-125.
87. Smilek D., Carriere J.S., Cheyne J.A. Failures of sustained attention in life, lab, and brain: ecological validity of the SART. Neuropsychologia 2010, 48:2564-2570.
88. Smith R.E. The cost of remembering to remember in event-based prospective memory: investigating the capacity demands of delayed intention performance. J Exp Psychol Learn Mem Cogn 2003, 29:347-361.
89. Smith P.L., Ratcliff R. The psychology and neurobiology of simple decisions. Trends Neurosci 2004, 27:161-168.
90. Stawarczyk D., Majerus S., Maj M., Van der Linden M., D'Argembeau A. Mind-wandering: phenomenology and function as assessed with a novel experience sampling method. Acta Psychol 2011, 136:370-381.
91. Stawarczyk D., Majerus S., Maquet P., D'Argembeau A. Neural correlates of ongoing conscious experience: both task-unrelatedness and stimulus-independence are related to default network activity. PLoS One 2011, 6. 10.1371/journal.pone.0016997.
92. Steyvers M., Lee M.D., Wagenmakers E.-J. A Bayesian analysis of human decision-making on bandit problems. J Math Psychol 2009, 53:168-179.
93. Turner B.M., Van Maanen L., Forstmann B.U. Informing cognitive abstractions through neuroimaging: the neural drift diffusion model. Psychol Rev 2015, 122:312-336.
94. Usher M., McClelland J.L. On the time course of perceptual choice: the leaky competing accumulator model. Psychol Rev 2001, 108:550-592.
95. Van Dijk H., Schoffelen J.-M., Oostenveld R., Jensen O. Pre-stimulus oscillatory activity in the alpha band predicts visual discrimination ability. J Neurosci 2008, 28:1816-1823.
96. Vandekerckhove J., Tuerlinckx F. Fitting the Ratcliff diffusion model to experimental data. Psychon Bull Rev 2007, 14:1011-1026.
97. Vandekerckhove J., Tuerlinckx F. Diffusion model analysis with MATLAB: a DMAT primer. Behav Res Methods 2008, 40:61-72.
98. Vandekerckhove J., Tuerlinckx F., Lee M.D. A Bayesian approach to diffusion process models of decision-making. Proc 30th Annu Conf Cogn Sci Soc 2008, 1429-1434. Cogn Sci Soc, Austin, TX. V.M. Sloutsky, B.C. Love, K. McRae (Eds.).
99. Vandekerckhove J., Tuerlinckx F., Lee M.D. Hierarchical diffusion models for two-choice response times. Psychol Methods 2011, 16:44-62.
100. Voss A., Voss J. Fast-dm: a free program for efficient diffusion model analysis. Behav Res Methods 2007, 39:767-775.
101. Voss A., Rothermund K., Voss J. Interpreting the parameters of the diffusion model: an empirical validation. Mem Cogn 2004, 32:1206-1220.
102. Voss A., Nagler M., Voss V. Diffusion models in experimental psychology: a practical introduction. Exp Psychol 2013, 60(385):402.
103. Watts F.N., Sharrock R. Description and measurement of concentration problems in depressed patients. Psychol Med 1985, 15:317-326.
104. Weissman D.H., Roberts K.C., Visscher K.M., Woldorff M.G. The neural bases of momentary lapses in attention. Nat Neurosci 2006, 9:971-978.
105. White C.N., Ratcliff R., Vasey M.W., McKoon G. Using diffusion models to understand clinical disorders. J Math Psychol 2010, 54:39-52.
106. White C.N., Brown S., Ratcliff R. A test of Bayesian observer models of processing in the Erikson flanker task. J Exp Psychol Hum Percept Perform 2012, 38:489-497.
107. Wickelgren W.A. Speed-accuracy tradeoff and information processing dynamics. Acta Psychol 1977, 41:67-85.
108. Wilson T.D., Reinhard D.A., Westgate E.C., Gilbert D.T., Ellerbeck N., Hahn C., Brown C.L., Shaked A. Just think: the challenges of the disengaged mind. Science 2014, 345:75-77.