{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T19:07:58Z","timestamp":1784833678683,"version":"3.55.0"},"reference-count":61,"publisher":"MIT Press","issue":"3","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"vor","delay-in-days":64,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100019274","name":"National Institute of Mental Health and\n                                Neurosciences","doi-asserted-by":"publisher","award":["R01MH129493"],"award-info":[{"award-number":["R01MH129493"]}],"id":[{"id":"10.13039\/100019274","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000081","name":"Directorate for Education and Human Resources","doi-asserted-by":"publisher","award":["2112455"],"award-info":[{"award-number":["2112455"]}],"id":[{"id":"10.13039\/100000081","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Fine-scale spatial dynamics within functional brain networks manifest as high spatial-frequency variations that conventional independent component analysis (ICA) methods fail to capture. These subtle changes may carry critical information about transient connectivity and disordered brain function. We developed NeuroMark-DyFICA (dynamic frequency-informed ICA), a novel framework to enhance detection of spatiotemporal variability in fMRI data. It integrates three stages: dynamic NeuroMark ICA across sliding windows to estimate time-varying, spatially constrained networks; high-pass spatial filtering to emphasize fine-scale spatial features; and group-level ICA to extract refined dynamic components with subject-specific mixing weights. Unlike prior NeuroMark applications or conventional dynamic ICA, NeuroMark-DyFICA establishes a reproducible latent space of high-frequency dynamics, uniquely capturing transient, fine-scale reconfigurations of network topography. Validation using a controlled 2D simulation demonstrated reliable detection of subtle spatial shifts mimicking pathology, which conventional ICA failed to recover. Applying to resting-state fMRI from schizophrenia patients and healthy controls, multiple networks were estimated. We highlight six representative systems (thalamus, auditory, visual\/fusiform, middle frontal, default mode, cerebellum). Results revealed two complementary abnormalities in schizophrenia: an imbalance between inactive and hyper-engaged states and altered convergence among dynamic states. NeuroMark-DyFICA reveals fine-grained spatiotemporal disruptions in brain networks, offering mechanistic insights and potential biomarkers for psychiatric disorders.<\/jats:p>","DOI":"10.1162\/netn.a.551","type":"journal-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T21:19:36Z","timestamp":1772831976000},"page":"567-593","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":0,"title":["NeuroMark-DyFICA: NeuroMark dynamic frequency-informed ICA with\n                    high-frequency spatial filtering for windowed fMRI analysis"],"prefix":"10.1162","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3679-5664","authenticated-orcid":true,"given":"Neda","family":"Behzadfar","sequence":"first","affiliation":[{"name":"Digital Processing and Machine Vision Research Center, Na.C., Islamic Azad University, Najafabad, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Armin","family":"Iraji","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Najme","family":"Soleimani","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tulay","family":"Adali","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vince","family":"Calhoun","sequence":"additional","affiliation":[{"name":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","published-online":{"date-parts":[[2026,7,23]]},"reference":[{"key":"2026072314404750800_bib1","volume-title":"Group ICA of fMRI Toolbox (GIFT)","author":"Adali","year":"2012"},{"issue":"9","key":"2026072314404750800_bib2","doi-asserted-by":"publisher","first-page":"914","DOI":"10.3390\/brainsci15090914","article-title":"The involvement of thalamic nuclei in schizophrenia patients\n                        with and without auditory verbal hallucinations: A brain morphometry\n                        study","volume":"15","author":"Alhazmi","year":"2025","journal-title":"Brain Sciences"},{"issue":"3","key":"2026072314404750800_bib3","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1093\/cercor\/bhs352","article-title":"Tracking whole-brain connectivity dynamics in the resting\n                        state","volume":"24","author":"Allen","year":"2014","journal-title":"Cerebral Cortex"},{"key":"2026072314404750800_bib4","doi-asserted-by":"publisher","first-page":"2","DOI":"10.3389\/fnsys.2011.00002","article-title":"A baseline for the multivariate comparison of resting-state\n                        networks","volume":"5","author":"Allen","year":"2011","journal-title":"Frontiers in Systems\n                    Neuroscience"},{"issue":"12","key":"2026072314404750800_bib5","doi-asserted-by":"publisher","first-page":"3116","DOI":"10.1093\/cercor\/bht165","article-title":"Characterizing thalamo-cortical disturbances in schizophrenia\n                        and bipolar illness","volume":"24","author":"Anticevic","year":"2014","journal-title":"Cerebral Cortex"},{"issue":"2","key":"2026072314404750800_bib6","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1001\/jamapsychiatry.2013.3469","article-title":"Disruption of cortical association\n                        networks in schizophrenia and psychotic bipolar disorder","volume":"71","author":"Baker","year":"2014","journal-title":"JAMA Psychiatry"},{"key":"2026072314404750800_bib7","doi-asserted-by":"publisher","DOI":"10.1101\/2025.05.02.651877","article-title":"NeuroMark-HiFi: A data-driven method for\n                        detecting high-spatial-frequency functional brain networks","author":"Behzadfar","year":"2025","journal-title":"bioRxiv"},{"issue":"2","key":"2026072314404750800_bib8","doi-asserted-by":"publisher","first-page":"e70131","DOI":"10.1002\/hbm.70131","article-title":"Time-varying spatial propagation of\n                        brain networks in fMRI data","volume":"46","author":"Bostami","year":"2025","journal-title":"Human Brain\n                        Mapping"},{"issue":"3","key":"2026072314404750800_bib9","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1002\/hbm.1048","article-title":"A method for making group inferences from functional MRI data\n                        using independent component analysis","volume":"14","author":"Calhoun","year":"2001","journal-title":"Human Brain\n                        Mapping"},{"issue":"4","key":"2026072314404750800_bib10","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1016\/j.nic.2017.06.012","article-title":"Ten key observations on the analysis of\n                        resting-state functional MR imaging data using independent component\n                        analysis","volume":"27","author":"Calhoun","year":"2017","journal-title":"Neuroimaging Clinics of North\n                        America"},{"issue":"1","key":"2026072314404750800_bib11","doi-asserted-by":"publisher","first-page":"S163","DOI":"10.1016\/j.neuroimage.2008.10.057","article-title":"A review of group ICA for fMRI data and\n                        ICA for joint inference of imaging, genetic, and ERP data","volume":"45","author":"Calhoun","year":"2009","journal-title":"NeuroImage"},{"issue":"2","key":"2026072314404750800_bib12","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","article-title":"The chronnectome: Time-varying\n                        connectivity networks as the next frontier in fMRI data\n                        discovery","volume":"84","author":"Calhoun","year":"2014","journal-title":"Neuron"},{"key":"2026072314404750800_bib13","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fnins.2018.00015","article-title":"Effect of spatial smoothing on task fMRI\n                        ICA and functional connectivity","volume":"12","author":"Chen","year":"2018","journal-title":"Frontiers in\n                        Neuroscience"},{"key":"2026072314404750800_bib14","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1016\/j.nicl.2014.07.003","article-title":"Dynamic functional connectivity analysis reveals transient\n                        states of dysconnectivity in schizophrenia","volume":"5","author":"Damaraju","year":"2014","journal-title":"NeuroImage: Clinical"},{"issue":"1","key":"2026072314404750800_bib15","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1093\/schbul\/sbx034","article-title":"Dysfunction of large-scale brain\n                        networks in schizophrenia: A meta-analysis of resting-state functional\n                        connectivity","volume":"44","author":"Dong","year":"2018","journal-title":"Schizophrenia Bulletin"},{"key":"2026072314404750800_bib16","doi-asserted-by":"publisher","first-page":"102375","DOI":"10.1016\/j.nicl.2020.102375","article-title":"NeuroMark: An automated and adaptive ICA based pipeline to\n                        identify reproducible fMRI markers of brain disorders","volume":"28","author":"Du","year":"2020","journal-title":"NeuroImage: Clinical"},{"issue":"12","key":"2026072314404750800_bib17","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1002\/hbm.21170","article-title":"Comparison of multi-subject ICA methods for analysis of fMRI\n                        data","volume":"32","author":"Erhardt","year":"2011","journal-title":"Human Brain Mapping"},{"key":"2026072314404750800_bib18","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.neuroimage.2018.11.057","article-title":"Dynamic functional connectivity during task performance and\n                        rest predicts individual differences in attention across\n                        studies","volume":"188","author":"Fong","year":"2019","journal-title":"NeuroImage"},{"issue":"1","key":"2026072314404750800_bib19","doi-asserted-by":"publisher","first-page":"26284","DOI":"10.1038\/s41598-024-78297-3","article-title":"Altered resting-state functional\n                        connectivity in a thalamo-cortico-cerebellar network in patients with\n                        schizophrenia","volume":"14","author":"Forlim","year":"2024","journal-title":"Scientific Reports"},{"issue":"9","key":"2026072314404750800_bib20","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1038\/nrn2201","article-title":"Spontaneous fluctuations in brain activity observed with\n                        functional magnetic resonance imaging","volume":"8","author":"Fox","year":"2007","journal-title":"Nature\n                        Reviews Neuroscience"},{"key":"2026072314404750800_bib21","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.schres.2016.08.005","article-title":"Review of thalamocortical resting-state fMRI studies in\n                        schizophrenia","volume":"180","author":"Giraldo-Chica","year":"2017","journal-title":"Schizophrenia Research"},{"issue":"1","key":"2026072314404750800_bib22","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1093\/schbul\/sbv085","article-title":"Spatial variance in resting fMRI networks of schizophrenia\n                        patients: An independent vector analysis","volume":"42","author":"Gopal","year":"2016","journal-title":"Schizophrenia Bulletin"},{"key":"2026072314404750800_bib23","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.schres.2024.06.031","article-title":"A connectome-wide association study of\n                        altered functional connectivity in schizophrenia based on resting-state\n                        fMRI","volume":"270","author":"He","year":"2024","journal-title":"Schizophrenia Research"},{"issue":"3","key":"2026072314404750800_bib24","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1016\/j.neuroimage.2004.03.027","article-title":"Validating the independent components of\n                        neuroimaging time series via clustering and visualization","volume":"22","author":"Himberg","year":"2004","journal-title":"NeuroImage"},{"issue":"14","key":"2026072314404750800_bib25","doi-asserted-by":"publisher","first-page":"9095","DOI":"10.1093\/cercor\/bhad185","article-title":"Spatiotemporal dynamics of functional\n                        connectivity and association with molecular architecture in\n                        schizophrenia","volume":"33","author":"Hou","year":"2023","journal-title":"Cerebral Cortex"},{"issue":"3","key":"2026072314404750800_bib26","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.biopsych.2023.12.002","article-title":"Spatial dynamic subspaces encode sex-specific schizophrenia\n                        disruptions in transient network overlap and their links to genetic\n                        risk","volume":"96","author":"Iraji","year":"2024","journal-title":"Biological Psychiatry"},{"issue":"10","key":"2026072314404750800_bib27","doi-asserted-by":"publisher","first-page":"3058","DOI":"10.1002\/hbm.24580","article-title":"The spatial chronnectome reveals a dynamic interplay between\n                        functional segregation and integration","volume":"40","author":"Iraji","year":"2019","journal-title":"Human Brain\n                        Mapping"},{"issue":"8","key":"2026072314404750800_bib28","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1093\/scan\/nsaa114","article-title":"Tools of the trade: Estimating time-varying connectivity\n                        patterns from fMRI data","volume":"16","author":"Iraji","year":"2021","journal-title":"Social Cognitive and\n                        Affective Neuroscience"},{"issue":"6","key":"2026072314404750800_bib29","doi-asserted-by":"publisher","first-page":"1969","DOI":"10.1002\/hbm.24505","article-title":"Spatial dynamics within and between brain functional domains:\n                        A hierarchical approach to study time-varying brain\n                    function","volume":"40","author":"Iraji","year":"2019","journal-title":"Human Brain Mapping"},{"key":"2026072314404750800_bib30","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.tics.2019.12.004","article-title":"Space: A missing piece of the dynamic puzzle","volume":"24","author":"Iraji","year":"2020","journal-title":"Trends in Cognitive Sciences"},{"issue":"7","key":"2026072314404750800_bib31","doi-asserted-by":"publisher","first-page":"1300","DOI":"10.1017\/S0033291716003469","article-title":"Abnormalities in the effective\n                        connectivity of visuothalamic circuitry in schizophrenia","volume":"47","author":"Iwabuchi","year":"2017","journal-title":"Psychological Medicine"},{"issue":"05","key":"2026072314404750800_bib32","doi-asserted-by":"publisher","first-page":"1850032","DOI":"10.1142\/S0129065718500326","article-title":"Aberrant\n                        prefrontal\u2013thalamic\u2013cerebellar circuit in schizophrenia and\n                        depression: Evidence from a possible causal connectivity","volume":"29","author":"Jiang","year":"2019","journal-title":"International Journal of Neural Systems"},{"issue":"11","key":"2026072314404750800_bib33","doi-asserted-by":"publisher","first-page":"3119","DOI":"10.1002\/hbm.25002","article-title":"Cerebellar\u2013cortical dysconnectivity in resting-state\n                        associated with sensorimotor tasks in schizophrenia","volume":"41","author":"Kim","year":"2020","journal-title":"Human Brain Mapping"},{"issue":"4","key":"2026072314404750800_bib34","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1089\/brain.2011.0036","article-title":"A sliding time-window ICA reveals\n                        spatial variability of the default mode network in time","volume":"1","author":"Kiviniemi","year":"2011","journal-title":"Brain Connectivity"},{"issue":"7","key":"2026072314404750800_bib35","doi-asserted-by":"publisher","first-page":"2212","DOI":"10.1002\/hbm.24519","article-title":"Brain network dynamics in schizophrenia:\n                        Reduced dynamism of the default mode network","volume":"40","author":"Kottaram","year":"2019","journal-title":"Human\n                        Brain Mapping"},{"key":"2026072314404750800_bib36","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.neuroimage.2014.09.007","article-title":"On spurious and real fluctuations of\n                        dynamic functional connectivity during rest","volume":"104","author":"Leonardi","year":"2015","journal-title":"NeuroImage"},{"issue":"1","key":"2026072314404750800_bib37","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1162\/netn_a_00116","article-title":"Questions and controversies in the study of time-varying\n                        functional connectivity in resting fMRI","volume":"4","author":"Lurie","year":"2020","journal-title":"Network\n                        Neuroscience"},{"key":"2026072314404750800_bib38","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.neuroimage.2013.12.063","article-title":"Dynamic changes of spatial functional\n                        network connectivity in healthy individuals and schizophrenia patients using\n                        independent vector analysis","volume":"90","author":"Ma","year":"2014","journal-title":"NeuroImage"},{"key":"2026072314404750800_bib39","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.schres.2019.05.016","article-title":"Functional disconnection between the\n                        visual cortex and right fusiform face area in schizophrenia","volume":"209","author":"Maher","year":"2019","journal-title":"Schizophrenia Research"},{"issue":"2\u20133","key":"2026072314404750800_bib40","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.schres.2012.01.036","article-title":"Default mode network activity in\n                        schizophrenia studied at resting state using probabilistic\n                        ICA","volume":"138","author":"Mingoia","year":"2012","journal-title":"Schizophrenia Research"},{"key":"2026072314404750800_bib41","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1601.00496","article-title":"Nonparametric modeling of dynamic\n                        functional connectivity in fMRI data","author":"Nielsen","year":"2016","journal-title":"arXiv"},{"issue":"1","key":"2026072314404750800_bib42","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1038\/s41537-021-00193-w","article-title":"Intrinsic cerebellar functional connectivity of social\n                        cognition and theory of mind in first-episode psychosis\n                        patients","volume":"7","author":"Park","year":"2021","journal-title":"NPJ Schizophrenia"},{"key":"2026072314404750800_bib43","doi-asserted-by":"publisher","first-page":"1484954","DOI":"10.3389\/fnins.2025.1484954","article-title":"Integrating fMRI spatial network dynamics and EEG spectral\n                        power: Insights into resting state connectivity","volume":"19","author":"Phadikar","year":"2025","journal-title":"Frontiers in Neuroscience"},{"issue":"1","key":"2026072314404750800_bib44","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1093\/schbul\/sbn159","article-title":"Widespread cortical dysfunction in schizophrenia: The FBIRN\n                        imaging consortium","volume":"35","author":"Potkin","year":"2009","journal-title":"Schizophrenia Bulletin"},{"key":"2026072314404750800_bib45","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.neuroimage.2016.12.061","article-title":"The dynamic functional connectome:\n                        State-of-the-art and perspectives","volume":"160","author":"Preti","year":"2017","journal-title":"NeuroImage"},{"issue":"11","key":"2026072314404750800_bib46","doi-asserted-by":"publisher","first-page":"e26773","DOI":"10.1002\/hbm.26773","article-title":"4D dynamic spatial brain networks at rest linked to cognition\n                        show atypical variability and coupling in schizophrenia","volume":"45","author":"Pusuluri","year":"2024","journal-title":"Human Brain Mapping"},{"issue":"12","key":"2026072314404750800_bib47","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1016\/s0006-3223(02)01784-5","article-title":"Right lateral fusiform gyrus dysfunction during facial\n                        information processing in schizophrenia","volume":"53","author":"Quintana","year":"2003","journal-title":"Biological\n                        Psychiatry"},{"issue":"3","key":"2026072314404750800_bib48","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1093\/schbul\/sbac187","article-title":"Dysconnectivity in schizophrenia revisited: Abnormal temporal\n                        organization of dynamic functional connectivity in patients with a first\n                        episode of psychosis","volume":"49","author":"Ramirez-Mahaluf","year":"2023","journal-title":"Schizophrenia\n                        Bulletin"},{"key":"2026072314404750800_bib49","doi-asserted-by":"publisher","first-page":"897","DOI":"10.3389\/fnhum.2014.00897","article-title":"Dynamic connectivity states estimated from resting fMRI\n                        Identify differences among schizophrenia, bipolar disorder, and healthy\n                        control subjects","volume":"8","author":"Rashid","year":"2014","journal-title":"Frontiers in Human\n                        Neuroscience"},{"issue":"1","key":"2026072314404750800_bib50","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.schres.2010.01.001","article-title":"Resting-state functional network correlates of psychotic\n                        symptoms in schizophrenia","volume":"117","author":"Rotarska-Jagiela","year":"2010","journal-title":"Schizophrenia\n                        Research"},{"issue":"13","key":"2026072314404750800_bib51","doi-asserted-by":"publisher","first-page":"8456","DOI":"10.1093\/cercor\/bhad131","article-title":"Resting state hyperconnectivity of the\n                        default mode network in schizophrenia and clinical high-risk state for\n                        psychosis","volume":"33","author":"Sasabayashi","year":"2023","journal-title":"Cerebral Cortex"},{"issue":"8","key":"2026072314404750800_bib52","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1001\/archgenpsychiatry.2010.85","article-title":"Impaired visual object processing across an\n                        occipital-frontal-hippocampal brain network in schizophrenia: An integrated\n                        neuroimaging study","volume":"67","author":"Sehatpour","year":"2010","journal-title":"Archives of General\n                        Psychiatry"},{"issue":"4","key":"2026072314404750800_bib53","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1093\/schbul\/sbr052","article-title":"Perceptual organization impairment in schizophrenia and\n                        associated brain mechanisms: Review of research from 2005 to\n                        2010","volume":"37","author":"Silverstein","year":"2011","journal-title":"Schizophrenia Bulletin"},{"key":"2026072314404750800_bib54","doi-asserted-by":"publisher","DOI":"10.1101\/2025.05.20.655164","article-title":"Brain state convergence and divergence as resting state fMRI\n                        biomarkers: A Large-scale study of continuous, overlapping, time-resolved\n                        states differentiates four psychiatric disorders","author":"Soleimani","year":"2025","journal-title":"bioRxiv"},{"issue":"1","key":"2026072314404750800_bib55","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1146\/annurev-clinpsy-032511-143049","article-title":"Default mode network activity and connectivity in\n                        psychopathology","volume":"8","author":"Whitfield-Gabrieli","year":"2012","journal-title":"Annual Review of Clinical\n                        Psychology"},{"issue":"12","key":"2026072314404750800_bib56","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1016\/j.bpsc.2025.05.016","article-title":"Auditory and visual thalamocortical connectivity alterations\n                        in unmedicated people with schizophrenia: An individualized sensory thalamic\n                        localization and resting-state functional connectivity\n                    study","volume":"10","author":"Williams","year":"2025","journal-title":"Biological Psychiatry: Cognitive Neuroscience and\n                        Neuroimaging"},{"issue":"10","key":"2026072314404750800_bib57","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1176\/appi.ajp.2012.12010056","article-title":"Thalamocortical dysconnectivity in\n                        schizophrenia","volume":"169","author":"Woodward","year":"2012","journal-title":"American Journal of\n                        Psychiatry"},{"issue":"3","key":"2026072314404750800_bib58","doi-asserted-by":"publisher","first-page":"1294","DOI":"10.1007\/s11682-021-00592-8","article-title":"Alterations of dynamic functional\n                        connectivity between visual and executive-control networks in\n                        schizophrenia","volume":"16","author":"Yang","year":"2022","journal-title":"Brain Imaging and Behavior"},{"issue":"1","key":"2026072314404750800_bib59","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1038\/s41537-022-00299-9","article-title":"Impaired dynamic functional brain\n                        properties and their relationship to symptoms in never treated first-episode\n                        patients with schizophrenia","volume":"8","author":"You","year":"2022","journal-title":"Schizophrenia"},{"issue":"1","key":"2026072314404750800_bib60","doi-asserted-by":"publisher","first-page":"2848929","DOI":"10.1155\/da\/2848929","article-title":"Brain structural and functional\n                        neuroimaging features are associated with improved auditory hallucinations\n                        in patients with schizophrenia after real-time fMRI\n                        neurofeedback","volume":"2025","author":"Zhang","year":"2025","journal-title":"Depression and Anxiety"},{"key":"2026072314404750800_bib61","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.jpsychires.2018.09.015","article-title":"Altered spatial and temporal concordance\n                        among intrinsic brain activity measures in schizophrenia","volume":"106","author":"Zhu","year":"2018","journal-title":"Journal of Psychiatric Research"}],"container-title":["Network Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/direct.mit.edu\/netn\/article-pdf\/10\/3\/567\/2586033\/netn.a.551.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/direct.mit.edu\/netn\/article-pdf\/10\/3\/567\/2586033\/netn.a.551.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T18:40:52Z","timestamp":1784832052000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/netn\/article\/10\/3\/567\/135390\/NeuroMark-DyFICA-NeuroMark-dynamic-frequency"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":61,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,7,23]]}},"URL":"https:\/\/doi.org\/10.1162\/netn.a.551","relation":{},"ISSN":["2472-1751"],"issn-type":[{"value":"2472-1751","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2026]]},"published":{"date-parts":[[2026]]}}}