The ebb and flow of attention: Between-subject variation in intrinsic connectivity and cognition associated with the dynamics of ongoing experience

&NA; Cognition is dynamic, allowing us the flexibility to shift focus from different aspects of the environment, or between internally‐ and externally‐oriented trains of thought. Although we understand how individuals switch attention across different tasks, the neurocognitive processes that underpin the dynamics of less constrained elements of cognition are less well understood. To explore this issue, we developed a paradigm in which participants intermittently responded to external events across two conditions that systematically vary in their need for updating working memory based on information in the external environment. This paradigm distinguishes the influences on cognition that emerge because of demands placed by the task (sustained) from changes that result from the time elapsed since the last task response (transient). We used experience sampling to identify dynamic changes in ongoing cognition in this paradigm, and related between subject variation in these measures to variations in the intrinsic organisation of large‐scale brain networks. We found systems important for attention were involved in the regulation of off‐task thought. Coupling between the ventral attention network and regions of primary motor cortex was stronger for individuals who were able to regulate off‐task thought in line with the demands of the task. This pattern of coupling was linked to greater task‐related thought when environmental demands were high and elevated off‐task thought when demands were low. In contrast, the coupling of the dorsal attention network with a region of lateral visual cortex was stronger for individuals for whom off‐task thoughts transiently increased with the time since responding to the external world. This pattern is consistent with a role for this system in the time‐limited top‐down biasing of visual processing to increase behavioural efficiency. Unlike the attention networks, coupling between regions of the default mode network and dorsal occipital cortex was weaker for individuals for whom the level of detail decreased with the passage of time when the external task did not require continuous monitoring of external information. These data provide novel evidence for how neural systems vary across subjects and may underpin individual variation in the dynamics of thought, linking attention systems to the maintenance of task‐relevant information, and the default mode network to supporting experiences with vivid detail. HighlightsWe explored between‐subject variation in the neural correlates of ongoing thought.The connectivity of attention networks was linked to the dynamics of off‐task thought.The ventral attention network was linked to sustained changes in off‐task thought.The dorsal attention network was linked to transient changes in off‐task thought.Default mode network connectivity was linked to levels of detail in ongoing thought.

[1]  Daniel Smilek,et al.  On the relation of mind wandering and ADHD symptomatology , 2015, Psychonomic bulletin & review.

[2]  A. Nobre,et al.  Where and When to Pay Attention: The Neural Systems for Directing Attention to Spatial Locations and to Time Intervals as Revealed by Both PET and fMRI , 1998, The Journal of Neuroscience.

[3]  Michael J. Hove,et al.  Dynamic Brain Network Correlates of Spontaneous Fluctuations in Attention , 2016, Cerebral cortex.

[4]  Daniel L. Schacter,et al.  Solving future problems: Default network and executive activity associated with goal-directed mental simulations , 2011, NeuroImage.

[5]  Danielle S Bassett,et al.  Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function , 2018, Human brain mapping.

[6]  Kristina M. Visscher,et al.  The neural bases of momentary lapses in attention , 2006, Nature Neuroscience.

[7]  Thomas E. Nichols,et al.  A positive-negative mode of population covariation links brain connectivity, demographics and behavior , 2015, Nature Neuroscience.

[8]  Haakon G. Engen,et al.  Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought , 2013, NeuroImage.

[9]  Krzysztof J. Gorgolewski,et al.  Medial and Lateral Networks in Anterior Prefrontal Cortex Support Metacognitive Ability for Memory and Perception , 2013, The Journal of Neuroscience.

[10]  Jonathan Smallwood,et al.  When attention wanders: Pupillometric signatures of fluctuations in external attention , 2017, Cognition.

[11]  G. Mangun,et al.  The neural mechanisms of top-down attentional control , 2000, Nature Neuroscience.

[12]  Hao-Ting Wang,et al.  Representing Representation: Integration between the Temporal Lobe and the Posterior Cingulate Influences the Content and Form of Spontaneous Thought , 2016, PloS one.

[13]  Jonathan D. Power,et al.  Multi-task connectivity reveals flexible hubs for adaptive task control , 2013, Nature Neuroscience.

[14]  Daniel L. Schacter,et al.  Intrinsic Architecture Underlying the Relations among the Default, Dorsal Attention, and Frontoparietal Control Networks of the Human Brain , 2013, Journal of Cognitive Neuroscience.

[15]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Michael J Kane,et al.  Why does working memory capacity predict variation in reading comprehension? On the influence of mind wandering and executive attention. , 2012, Journal of experimental psychology. General.

[17]  R. Nathan Spreng,et al.  The Fallacy of a “Task-Negative” Network , 2012, Front. Psychology.

[18]  A. Engel,et al.  Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention , 2008, Neuron.

[19]  Anna Christina Nobre,et al.  Top–Down Activation of Spatiotopic Sensory Codes in Perceptual and Working Memory Search , 2016, Journal of Cognitive Neuroscience.

[20]  G. D. Logan Task Switching , 2022 .

[21]  M. Kane,et al.  Tracking the train of thought from the laboratory into everyday life: An experience-sampling study of mind wandering across controlled and ecological contexts , 2009, Psychonomic bulletin & review.

[22]  D. Gilbert,et al.  A Wandering Mind Is an Unhappy Mind , 2010, Science.

[23]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.

[24]  Hao-Ting Wang,et al.  Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest , 2018, NeuroImage.

[25]  Jonathan Smallwood,et al.  Shadowing the wandering mind: how understanding the mind-wandering state can inform our appreciation of conscious experience. , 2016, Wiley Interdisciplinary Reviews: Cognitive Science.

[26]  Todd C. Handy,et al.  Differential recruitment of executive resources during mind wandering , 2014, Consciousness and Cognition.

[27]  Alan Kingstone,et al.  The relationship between mind-wandering, meta-awareness, and ADHD symptomatology , 2014 .

[28]  Franziska R. Richter,et al.  Distinct neural mechanisms underlie the success, precision, and vividness of episodic memory , 2016, eLife.

[29]  J. Smallwood,et al.  Automatic and Controlled Semantic Retrieval: TMS Reveals Distinct Contributions of Posterior Middle Temporal Gyrus and Angular Gyrus , 2015, The Journal of Neuroscience.

[30]  Lawrence W. Barsalou,et al.  Mind wandering and attention during focused meditation: A fine-grained temporal analysis of fluctuating cognitive states , 2012, NeuroImage.

[31]  Jonathan W. Peirce,et al.  PsychoPy—Psychophysics software in Python , 2007, Journal of Neuroscience Methods.

[32]  Karl J. Friston,et al.  Deconstructing the Architecture of Dorsal and Ventral Attention Systems with Dynamic Causal Modeling , 2012, The Journal of Neuroscience.

[33]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[34]  J. Duncan The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour , 2010, Trends in Cognitive Sciences.

[35]  T. Yarkoni Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power—Commentary on Vul et al. (2009) , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[36]  Maurizio Corbetta,et al.  The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Russell A. Poldrack,et al.  Large-scale automated synthesis of human functional neuroimaging data , 2011, Nature Methods.

[38]  M. Kane,et al.  Does mind wandering reflect executive function or executive failure? Comment on Smallwood and Schooler (2006) and Watkins (2008). , 2010, Psychological bulletin.

[39]  T. Wheatley,et al.  Pupil Dilation Dynamics Track Attention to High-Level Information , 2014, PloS one.

[40]  K. Christoff,et al.  Experience sampling during fMRI reveals default network and executive system contributions to mind wandering , 2009, Proceedings of the National Academy of Sciences.

[41]  Ivan Toni,et al.  On the relationship between the “default mode network” and the “social brain” , 2012, Front. Hum. Neurosci..

[42]  Joseph Loscalzo,et al.  Stream of Consciousness. , 2018, The New England journal of medicine.

[43]  Theodoros Karapanagiotidis,et al.  Brain networks underlying bistable perception , 2015, NeuroImage.

[44]  Jonathan Smallwood,et al.  Is self-generated thought a means of social problem solving? , 2013, Front. Psychol..

[45]  Sang Won Lee,et al.  Aberrant Development of Functional Connectivity among Resting State-Related Functional Networks in Medication-Naïve ADHD Children , 2013, PloS one.

[46]  Haakon G. Engen,et al.  How Self-Generated Thought Shapes Mood—The Relation between Mind-Wandering and Mood Depends on the Socio-Temporal Content of Thoughts , 2013, PloS one.

[47]  Justin L. Vincent,et al.  Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[48]  Jonathan Smallwood,et al.  Subjective experience and the attentional lapse: Task engagement and disengagement during sustained attention , 2004, Consciousness and Cognition.

[49]  Yong He,et al.  BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.

[50]  P. Silvia,et al.  For Whom the Mind Wanders, and When , 2007, Psychological science.

[51]  Abraham Z. Snyder,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[52]  J. Andrews-Hanna,et al.  Not all minds that wander are lost: the importance of a balanced perspective on the mind-wandering state , 2013, Front. Psychol..

[53]  Bradley G. Goodyear,et al.  Functional connectivity of neural motor networks is disrupted in children with developmental coordination disorder and attention-deficit/hyperactivity disorder , 2014, NeuroImage: Clinical.

[54]  Jonathan Smallwood,et al.  Going AWOL in the Brain: Mind Wandering Reduces Cortical Analysis of External Events , 2008, Journal of Cognitive Neuroscience.

[55]  L. Yao,et al.  Causal Interactions in Attention Networks Predict Behavioral Performance , 2012, The Journal of Neuroscience.

[56]  Timothy O. Laumann,et al.  Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation , 2018, Neuron.

[57]  Jonathan Smallwood,et al.  Journal of Experimental Psychology : General The Role of Mind-Wandering in Measurements of General Aptitude , 2012 .

[58]  M. Chun,et al.  A neuromarker of sustained attention from whole-brain functional connectivity , 2015, Nature Neuroscience.

[59]  M. Chun,et al.  Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.

[60]  Jonathan Smallwood,et al.  The balanced mind: the variability of task-unrelated thoughts predicts error monitoring , 2013, Front. Hum. Neurosci..

[61]  M. Chun,et al.  Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.

[62]  Zachary C. Irving,et al.  Mind-wandering as spontaneous thought: a dynamic framework , 2016, Nature Reviews Neuroscience.

[63]  Kristina M. Visscher,et al.  A Core System for the Implementation of Task Sets , 2006, Neuron.

[64]  S. Young,et al.  Medial and Lateral of the , 2014 .

[65]  R. Nathan Spreng,et al.  Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network , 2010, Journal of Cognitive Neuroscience.

[66]  Jonathan W. Schooler,et al.  States of Mind: Characterizing the Neural Bases of Focus and Mind-wandering through Dynamic Functional Connectivity , 2017, Journal of Cognitive Neuroscience.

[67]  Stephen M. Smith,et al.  Brain network dynamics are hierarchically organized in time , 2017, Proceedings of the National Academy of Sciences.

[68]  Thomas T. Liu,et al.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.

[69]  T. Handy,et al.  Mind wandering and selective attention to the external world. , 2015, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[70]  Elizabeth Jefferies,et al.  Situating the default-mode network along a principal gradient of macroscale cortical organization , 2016, Proceedings of the National Academy of Sciences.

[71]  J. Smallwood,et al.  Back to the future: Autobiographical planning and the functionality of mind-wandering , 2011, Consciousness and Cognition.

[72]  P. Roland,et al.  Bilateral activation of fronto-parietal networks by incrementing demand in a working memory task. , 1997, Cerebral cortex.

[73]  Justin L. Vincent,et al.  Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. , 2008, Journal of neurophysiology.

[74]  Yoed N. Kenett,et al.  Robust prediction of individual creative ability from brain functional connectivity , 2018, Proceedings of the National Academy of Sciences.

[75]  Ravi S. Menon,et al.  Resting‐state networks show dynamic functional connectivity in awake humans and anesthetized macaques , 2013, Human brain mapping.

[76]  L. Westlye,et al.  Mental time travel and default-mode network functional connectivity in the developing brain , 2012, Proceedings of the National Academy of Sciences.

[77]  Jonathan Smallwood,et al.  The Effects of Block Duration and Task Demands on the Experience of Task Unrelated Thought , 2002 .

[78]  Elizabeth Jefferies,et al.  How do we decide what to do? Resting-state connectivity patterns and components of self-generated thought linked to the development of more concrete personal goals , 2016, Experimental Brain Research.

[79]  Shaun R. Patel,et al.  Human Dorsal Anterior Cingulate Cortex Neurons Mediate Ongoing Behavioral Adaptation , 2012, Nature.

[80]  Aaron Kucyi,et al.  Just a thought: How mind-wandering is represented in dynamic brain connectivity , 2017, NeuroImage.

[81]  Danilo Bzdok,et al.  Shared endo-phenotypes of default mode dysfunction in attention deficit/hyperactivity disorder and autism spectrum disorder , 2018, Translational Psychiatry.

[82]  Barbara J. Sahakian,et al.  Cognitive Flexibility: A Default Network and Basal Ganglia Connectivity Perspective , 2016, Brain Connect..

[83]  Jonathan Smallwood,et al.  Pupillometric Evidence for the Decoupling of Attention from Perceptual Input during Offline Thought , 2011, PloS one.

[84]  Jonathan W. Schooler,et al.  Re-representing consciousness: dissociations between experience and meta-consciousness , 2002, Trends in Cognitive Sciences.

[85]  Michael Esterman,et al.  Intrinsic Fluctuations in Sustained Attention and Distractor Processing , 2014, The Journal of Neuroscience.

[86]  A. Baddeley,et al.  Stimulus-independent thought depends on central executive resources , 1995, Memory & cognition.

[87]  J. Singer,et al.  Ode to positive constructive daydreaming , 2013, Front. Psychol..

[88]  Dawa T. Phillips,et al.  Mindfulness Training Improves Working Memory Capacity and GRE Performance While Reducing Mind Wandering , 2013, Psychological science.

[89]  M. Kane,et al.  Conducting the train of thought: working memory capacity, goal neglect, and mind wandering in an executive-control task. , 2009, Journal of experimental psychology. Learning, memory, and cognition.

[90]  J. Guilford,et al.  The nature of human intelligence. , 1968 .

[91]  J. Raven,et al.  Manual for Raven's progressive matrices and Mill Hill vocabulary scales , 1981 .

[92]  David K. Menon,et al.  Default mode contributions to automated information processing , 2017, Proceedings of the National Academy of Sciences.

[93]  Jin Fan,et al.  The activation of attentional networks , 2005, NeuroImage.

[94]  Hao-Ting Wang,et al.  The role of the default mode network in component processes underlying the wandering mind , 2017, Social cognitive and affective neuroscience.

[95]  Aaron Kucyi,et al.  Dynamic functional connectivity of the default mode network tracks daydreaming , 2014, NeuroImage.

[96]  M. Corbetta,et al.  Common Blood Flow Changes across Visual Tasks: II. Decreases in Cerebral Cortex , 1997, Journal of Cognitive Neuroscience.

[97]  Hao-Ting Wang,et al.  Dimensions of Experience: Exploring the Heterogeneity of the Wandering Mind , 2018, Psychological science.

[98]  J. Smallwood,et al.  Inspired by Distraction , 2012, Psychological science.

[99]  M. Banich,et al.  Inhibition Versus Switching Deficits in Different Forms of Rumination , 2007, Psychological science.

[100]  W. Helton,et al.  Working memory load and the vigilance decrement , 2011, Experimental Brain Research.

[101]  Elizabeth Jefferies,et al.  Individual variation in intentionality in the mind-wandering state is reflected in the integration of the default-mode, fronto-parietal, and limbic networks , 2017, NeuroImage.

[102]  Hans Knutsson,et al.  Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2016, Proceedings of the National Academy of Sciences.

[103]  J. Smallwood,et al.  The science of mind wandering: empirically navigating the stream of consciousness. , 2015, Annual review of psychology.

[104]  Kevin S. Brown,et al.  Cooperation between the default mode network and the frontal–parietal network in the production of an internal train of thought , 2012, Brain Research.

[105]  Todd C. Handy,et al.  Mind wandering and motor control: off-task thinking disrupts the online adjustment of behavior , 2012, Front. Hum. Neurosci..

[106]  Daniel L. Schacter,et al.  Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition , 2010, NeuroImage.

[107]  Hao-Ting Wang,et al.  Distant from input: Evidence of regions within the default mode network supporting perceptually-decoupled and conceptually-guided cognition , 2018, NeuroImage.

[108]  G. Mangun,et al.  Author ' s personal copy Research Report fMRI evidence for both generalized and specialized components of attentional control , 2007 .

[109]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[110]  S. Keele,et al.  Changing internal constraints on action: the role of backward inhibition. , 2000, Journal of experimental psychology. General.

[111]  D. Margulies,et al.  Default mode network can support the level of detail in experience during active task states , 2018, Proceedings of the National Academy of Sciences.

[112]  Christopher L. Asplund,et al.  A central role for the lateral prefrontal cortex in goal-directed and stimulus-driven attention , 2010, Nature Neuroscience.

[113]  J. Smallwood Distinguishing how from why the mind wanders: a process-occurrence framework for self-generated mental activity. , 2013, Psychological bulletin.

[114]  Haakon G. Engen,et al.  Shaped by the Past: The Default Mode Network Supports Cognition that Is Independent of Immediate Perceptual Input , 2015, PloS one.

[115]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .