{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T17:50:56Z","timestamp":1785433856105,"version":"3.56.0"},"posted":{"date-parts":[[2025,12,2]]},"group-title":"Neuroscience","reference-count":83,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T00:00:00Z","timestamp":1764633600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"award":["F31AA032179"],"award-info":[{"award-number":["F31AA032179"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]},{"award":["R01MH121095"],"award-info":[{"award-number":["R01MH121095"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,4,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>Cognitive control supports adaptive responses in an ever-changing world. While alterations in cognitive control have been consistently observed in a range of psychiatric disorders, the neural mechanisms giving rise to this behavioral variation remain elusive. Here, we tested whether the ability to flexibly recruit recurring brain activation patterns (i.e., brain states) may serve as an intermediate phenotype supporting cognitive control in individuals with a spectrum of clinical symptoms. We leveraged machine learning and external validation to explore this question in three independent, transdiagnostic datasets (N&gt;600), including participants with anxiety disorders, schizophrenia, mood disorders, substance use disorders, post-traumatic stress disorder, obsessive-compulsive disorder, and neurodevelopmental disorders. To capture cognitive control\u2019s multifaceted nature, we assessed two of its components\u2014inhibition and shift\u2014 using both task-based and questionnaire data. Flexible brain state engagement predicted all cognitive control metrics in previously unseen individuals transdiagnostically, regardless of which dataset was used for model training. Connectome-based predictive modeling also revealed that shared brain networks underpinned flexible brain state engagement in a transdiagnostic manner. Leveraging brain network dynamics, we further observed that moments of more flexible brain state engagement aligned with moments of network connectivity related to better cognitive control within the same individual. This temporal alignment was replicated in all three datasets with heterogeneous samples. Altogether, this study suggests flexible engagement of brain states may support both inter- and intra-individual differences in cognitive control across individuals with diverse mental health profiles.<\/jats:p>\n                <jats:sec>\n                  <jats:title>Funding sources<\/jats:title>\n                  <jats:p>\n                    This work was supported by F31AA032179 and R01MH121095. Data were provided in part by the Consortium for Neuropsychiatric Phenomics (NIH Roadmap for Medical Research grants UL1-DE019580, RL1MH083268, RL1MH083269, RL1DA024853, RL1MH083270, RL1LM009833, PL1MH083271, and PL1NS062410) and the Transdiagnostic Connectome Project (TCP) dataset. Datasets were accessed through OpenNeuro (\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/openneuro.org\/datasets\/ds005237\">https:\/\/openneuro.org\/datasets\/ds005237<\/jats:ext-link>\n                    and\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/openneuro.org\/datasets\/ds000030\/versions\/00016\">https:\/\/openneuro.org\/datasets\/ds000030\/versions\/00016<\/jats:ext-link>\n                    ).\n                  <\/jats:p>\n                <\/jats:sec>","DOI":"10.64898\/2025.11.30.691395","type":"posted-content","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T12:48:29Z","timestamp":1765198109000},"source":"Crossref","is-referenced-by-count":0,"title":["Flexible brain state engagement predicts cognitive control transdiagnostically"],"prefix":"10.64898","author":[{"given":"Jean","family":"Ye","sequence":"first","affiliation":[{"name":"Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut"},{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saloni","family":"Mehta","sequence":"additional","affiliation":[{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milana","family":"Khaitova","sequence":"additional","affiliation":[{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jagriti","family":"Arora","sequence":"additional","affiliation":[{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuyuze","family":"Tokoglu","sequence":"additional","affiliation":[{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C. Alice","family":"Hahn","sequence":"additional","affiliation":[{"name":"Yale Center for Clinical Investigation, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheryl","family":"Lacadie","sequence":"additional","affiliation":[{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abigail S.","family":"Greene","sequence":"additional","affiliation":[{"name":"Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut"},{"name":"MD-PhD program, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Psychiatry, Brigham and Women\u2019s Hospital, Boston, Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marisa N.","family":"Spann","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York"},{"name":"New York State Psychiatric Institute, New York, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerard","family":"Sanacora","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3103-5228","authenticated-orcid":false,"given":"Scott W.","family":"Woods","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vinod H.","family":"Srihari","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. Todd","family":"Constable","sequence":"additional","affiliation":[{"name":"Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut"},{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, Connecticut"},{"name":"Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dustin","family":"Scheinost","sequence":"additional","affiliation":[{"name":"Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut"},{"name":"Yale Biomedical Imaging Institute, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, Connecticut"},{"name":"Child Study Center, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"54368","reference":[{"key":"2026042923453196000_2025.11.30.691395v3.1","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1038\/s44159-023-00234-4","article-title":"Principles of cognitive control over task focus and task switching","volume":"2","year":"2023","journal-title":"Nat. Rev. Psychol"},{"key":"2026042923453196000_2025.11.30.691395v3.2","doi-asserted-by":"publisher","DOI":"10.1006\/cogp.1999.0734"},{"key":"2026042923453196000_2025.11.30.691395v3.3","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-psych-113011-143750"},{"key":"2026042923453196000_2025.11.30.691395v3.4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroscience.2016.06.005"},{"key":"2026042923453196000_2025.11.30.691395v3.5","doi-asserted-by":"publisher","DOI":"10.1002\/mpr.1410"},{"key":"2026042923453196000_2025.11.30.691395v3.6","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awm277"},{"key":"2026042923453196000_2025.11.30.691395v3.7","doi-asserted-by":"publisher","DOI":"10.1111\/j.1440-1614.2006.01928.x"},{"key":"2026042923453196000_2025.11.30.691395v3.8","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.164.2.335"},{"key":"2026042923453196000_2025.11.30.691395v3.9","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2015.07.003"},{"key":"2026042923453196000_2025.11.30.691395v3.10","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1080\/09297040802070929","article-title":"Executive Functions: Performance-Based Measures and the Behavior Rating Inventory of Executive Function (BRIEF) in Adolescents with Attention Deficit\/Hyperactivity Disorder (ADHD)","volume":"15","year":"2008","journal-title":"Child Neuropsychol"},{"key":"2026042923453196000_2025.11.30.691395v3.11","first-page":"522","article-title":"Putative Brain Networks Underlying Repetitive Negative Thinking and Comorbid Internalizing Problems in Autism","volume":"5","year":"2017","journal-title":"Clin. Psychol. Sci. J. Assoc. Psychol. Sci"},{"key":"2026042923453196000_2025.11.30.691395v3.12","doi-asserted-by":"crossref","unstructured":"Snyder, H. R. , Miyake, A. & Hankin, B. L. Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches. Front. Psychol. 6, (2015).","DOI":"10.3389\/fpsyg.2015.00328"},{"key":"2026042923453196000_2025.11.30.691395v3.13","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2010.09091379"},{"key":"2026042923453196000_2025.11.30.691395v3.14","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2014.14020138"},{"key":"2026042923453196000_2025.11.30.691395v3.15","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2020.06.003"},{"key":"2026042923453196000_2025.11.30.691395v3.16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.09.036"},{"key":"2026042923453196000_2025.11.30.691395v3.17","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1162\/netn_a_00116","article-title":"Questions and controversies in the study of time-varying functional connectivity in resting fMRI","volume":"4","year":"2020","journal-title":"Netw. Neurosci"},{"key":"2026042923453196000_2025.11.30.691395v3.18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.079"},{"key":"2026042923453196000_2025.11.30.691395v3.19","doi-asserted-by":"publisher","DOI":"10.1016\/J.NEURON.2021.01.023"},{"key":"2026042923453196000_2025.11.30.691395v3.20","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.biopsych.2025.02.004","article-title":"The Promise of Investigating Neural Variability in Psychiatric Disorders","volume":"98","year":"2025","journal-title":"Biol. Psychiatry"},{"key":"2026042923453196000_2025.11.30.691395v3.21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.10.026"},{"key":"2026042923453196000_2025.11.30.691395v3.22","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1089\/brain.2014.0300","article-title":"Behavioral Relevance of the Dynamics of the Functional Brain Connectome","volume":"4","year":"2014","journal-title":"Brain Connect"},{"key":"2026042923453196000_2025.11.30.691395v3.23","doi-asserted-by":"crossref","first-page":"101384","DOI":"10.1016\/j.cobeha.2024.101384","article-title":"Cognitive flexibility as the shifting of brain network flows by flexible neural representations","volume":"57","year":"2024","journal-title":"Curr. Opin. Behav. Sci"},{"key":"2026042923453196000_2025.11.30.691395v3.24","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.2517-14.2016"},{"key":"2026042923453196000_2025.11.30.691395v3.25","doi-asserted-by":"crossref","first-page":"5217","DOI":"10.1038\/s41380-023-02164-2","article-title":"Neural variability in three major psychiatric disorders","volume":"28","year":"2023","journal-title":"Mol. Psychiatry"},{"key":"2026042923453196000_2025.11.30.691395v3.26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroscience.2016.09.034"},{"key":"2026042923453196000_2025.11.30.691395v3.27","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2023.03.024"},{"key":"2026042923453196000_2025.11.30.691395v3.28","doi-asserted-by":"crossref","first-page":"e2455165","DOI":"10.1001\/jamanetworkopen.2024.55165","article-title":"Neural Variability and Cognitive Control in Individuals With Opioid Use Disorder","volume":"8","year":"2025","journal-title":"JAMA Netw. Open"},{"key":"2026042923453196000_2025.11.30.691395v3.29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2025.08.020"},{"key":"2026042923453196000_2025.11.30.691395v3.30","doi-asserted-by":"publisher","DOI":"10.1101\/2025.07.15.25331595"},{"key":"2026042923453196000_2025.11.30.691395v3.31","doi-asserted-by":"publisher","DOI":"10.3758\/S13428-017-0935-1\/TABLES\/5"},{"key":"2026042923453196000_2025.11.30.691395v3.32","doi-asserted-by":"crossref","first-page":"1448","DOI":"10.1037\/xlm0001028","article-title":"Strategy and processing speed eclipse individual differences in control ability in conflict tasks","volume":"48","year":"2022","journal-title":"J. Exp. Psychol. Learn. Mem. Cogn"},{"key":"2026042923453196000_2025.11.30.691395v3.33","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-10301-1"},{"key":"2026042923453196000_2025.11.30.691395v3.34","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1525\/collabra.134","article-title":"Reported Self-control is not Meaningfully Associated with Inhibition-related Executive Function: A Bayesian Analysis","volume":"4","year":"2018","journal-title":"Collabra Psychol"},{"key":"2026042923453196000_2025.11.30.691395v3.35","doi-asserted-by":"publisher","DOI":"10.1037\/xlm0000450"},{"key":"2026042923453196000_2025.11.30.691395v3.36","doi-asserted-by":"publisher","DOI":"10.3758\/s13423-023-02293-3"},{"key":"2026042923453196000_2025.11.30.691395v3.37","doi-asserted-by":"crossref","first-page":"160110","DOI":"10.1038\/sdata.2016.110","article-title":"A phenome-wide examination of neural and cognitive function","volume":"3","year":"2016","journal-title":"Sci. Data"},{"key":"2026042923453196000_2025.11.30.691395v3.38","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1038\/s41597-025-04895-z","article-title":"The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry","volume":"12","year":"2025","journal-title":"Sci. Data"},{"key":"2026042923453196000_2025.11.30.691395v3.39","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.25561"},{"key":"2026042923453196000_2025.11.30.691395v3.40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.041"},{"key":"2026042923453196000_2025.11.30.691395v3.41","doi-asserted-by":"crossref","first-page":"102833","DOI":"10.1016\/j.nicl.2021.102833","article-title":"Mood disorders disrupt the functional dynamics, not spatial organization of brain resting state networks","volume":"32","year":"2021","journal-title":"NeuroImage Clin"},{"key":"2026042923453196000_2025.11.30.691395v3.42","doi-asserted-by":"publisher","DOI":"10.1038\/s41380-020-00983-1"},{"key":"2026042923453196000_2025.11.30.691395v3.43","doi-asserted-by":"publisher","DOI":"10.1038\/nprot.2016.178"},{"key":"2026042923453196000_2025.11.30.691395v3.44","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-020-00719-y"},{"key":"2026042923453196000_2025.11.30.691395v3.45","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2005531117"},{"key":"2026042923453196000_2025.11.30.691395v3.46","doi-asserted-by":"publisher","DOI":"10.1038\/s41380-024-02708-0"},{"key":"2026042923453196000_2025.11.30.691395v3.47","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1000106"},{"key":"2026042923453196000_2025.11.30.691395v3.48","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.5641-10.2011"},{"key":"2026042923453196000_2025.11.30.691395v3.49","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhs055"},{"key":"2026042923453196000_2025.11.30.691395v3.50","doi-asserted-by":"publisher","DOI":"10.1037\/a0020909"},{"key":"2026042923453196000_2025.11.30.691395v3.51","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4478"},{"key":"2026042923453196000_2025.11.30.691395v3.52","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-02887-9"},{"key":"2026042923453196000_2025.11.30.691395v3.53","doi-asserted-by":"publisher","DOI":"10.1177\/1745691617693393"},{"key":"2026042923453196000_2025.11.30.691395v3.54","doi-asserted-by":"crossref","first-page":"2018","DOI":"10.1038\/s41562-024-01931-7","article-title":"Power and reproducibility in the external validation of brain-phenotype predictions","volume":"8","year":"2024","journal-title":"Nat. Hum. Behav"},{"key":"2026042923453196000_2025.11.30.691395v3.55","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1038\/s43588-025-00884-9","article-title":"Transforming psychiatry with computational and brain-based methods","volume":"5","year":"2025","journal-title":"Nat. Comput. Sci"},{"key":"2026042923453196000_2025.11.30.691395v3.56","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-023-01812-3"},{"key":"2026042923453196000_2025.11.30.691395v3.57","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2025.09.013"},{"key":"2026042923453196000_2025.11.30.691395v3.58","doi-asserted-by":"publisher","DOI":"10.1093\/arclin\/acq014"},{"key":"2026042923453196000_2025.11.30.691395v3.59","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2020.01.007"},{"key":"2026042923453196000_2025.11.30.691395v3.60","doi-asserted-by":"crossref","unstructured":"Cropley, M. & Collis, H. The Association Between Work-Related Rumination and Executive Function Using the Behavior Rating Inventory of Executive Function. Front. Psychol. 11, (2020).","DOI":"10.3389\/fpsyg.2020.00821"},{"key":"2026042923453196000_2025.11.30.691395v3.61","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1002\/da.22539","article-title":"The relationships between rumination and core executive functions: A meta-analysis","volume":"34","year":"2017","journal-title":"Depress. Anxiety"},{"key":"2026042923453196000_2025.11.30.691395v3.62","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1177\/2167702617702717","article-title":"Unpacking Rumination and Executive Control: A Network Perspective","volume":"5","year":"2017","journal-title":"Clin. Psychol. Sci"},{"key":"2026042923453196000_2025.11.30.691395v3.63","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1177\/1073191117693923","article-title":"Repetitive Negative Thinking as a Transdiagnostic Predictor of Depression and Anxiety Symptoms in Adolescents","volume":"26","year":"2019","journal-title":"Assessment"},{"key":"2026042923453196000_2025.11.30.691395v3.64","first-page":"776","article-title":"Executive functions predict the trajectories of rumination in middle-aged and older adults: A latent growth curve analysis","volume":"23","year":"2023","journal-title":"Emot. Wash. DC"},{"key":"2026042923453196000_2025.11.30.691395v3.65","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.08.019"},{"key":"2026042923453196000_2025.11.30.691395v3.66","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1420687112"},{"key":"2026042923453196000_2025.11.30.691395v3.67","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2019.01.014"},{"key":"2026042923453196000_2025.11.30.691395v3.68","doi-asserted-by":"crossref","unstructured":"Shine, J. M. Principles of dynamic network reconfiguration across diverse brain states. (2017).","DOI":"10.20944\/preprints201707.0014.v1"},{"key":"2026042923453196000_2025.11.30.691395v3.69","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-15631-z"},{"key":"2026042923453196000_2025.11.30.691395v3.70","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2018.17101147"},{"key":"2026042923453196000_2025.11.30.691395v3.71","doi-asserted-by":"crossref","first-page":"4383","DOI":"10.1038\/s41380-019-0586-y","article-title":"Dissociable neural substrates of opioid and cocaine use identified via connectome-based modelling","volume":"26","year":"2021","journal-title":"Mol. Psychiatry"},{"key":"2026042923453196000_2025.11.30.691395v3.72","doi-asserted-by":"publisher","DOI":"10.1038\/s41380-025-03196-6"},{"key":"2026042923453196000_2025.11.30.691395v3.73","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2019.06.013"},{"key":"2026042923453196000_2025.11.30.691395v3.74","doi-asserted-by":"publisher","DOI":"10.1038\/nrn.2016.113"},{"key":"2026042923453196000_2025.11.30.691395v3.75","doi-asserted-by":"crossref","unstructured":"Jones, H. M. , Yoo, K. , Chun, M. M. & Rosenberg, M. D. Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention. J. Neurosci. 44, (2024).","DOI":"10.1523\/JNEUROSCI.1543-23.2024"},{"key":"2026042923453196000_2025.11.30.691395v3.76","first-page":"554","article-title":"Brain network dynamics predict moments of surprise across contexts","volume":"9","year":"2025","journal-title":"Nat. Hum. Behav"},{"key":"2026042923453196000_2025.11.30.691395v3.77","doi-asserted-by":"crossref","unstructured":"Howlett, C. A. Same room - different windows? A systematic review and meta-analysis of the relationship between self-report and neuropsychological tests of cognitive flexibility in healthy adults. Clin. Psychol. Rev. (2021).","DOI":"10.1016\/j.cpr.2021.102061"},{"key":"2026042923453196000_2025.11.30.691395v3.78","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2011796118"},{"key":"2026042923453196000_2025.11.30.691395v3.79","doi-asserted-by":"publisher","DOI":"10.1101\/2025.08.18.670664"},{"key":"2026042923453196000_2025.11.30.691395v3.80","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2008.09.010"},{"key":"2026042923453196000_2025.11.30.691395v3.81","doi-asserted-by":"crossref","first-page":"e240514","DOI":"10.1148\/radiol.240514","article-title":"Alterations in Volume and Intrinsic Resting-State Functional Connectivity Detected at Brain MRI in Individuals with Opioid Use Disorder","volume":"313","year":"2024","journal-title":"Radiology"},{"key":"2026042923453196000_2025.11.30.691395v3.82","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.081"},{"key":"2026042923453196000_2025.11.30.691395v3.83","doi-asserted-by":"publisher","DOI":"10.1080\/03610928308827180"}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.64898\/2025.11.30.691395","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:46:09Z","timestamp":1777531569000},"score":1,"resource":{"primary":{"URL":"http:\/\/biorxiv.org\/lookup\/doi\/10.64898\/2025.11.30.691395"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"references-count":83,"URL":"https:\/\/doi.org\/10.64898\/2025.11.30.691395","relation":{},"subject":[],"published":{"date-parts":[[2025,12,2]]},"subtype":"preprint"}}