{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T09:04:07Z","timestamp":1780909447079,"version":"3.54.1"},"reference-count":79,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T00:00:00Z","timestamp":1776816000000},"content-version":"vor","delay-in-days":21,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Major depressive disorder (MDD) is a prevalent psychiatric condition characterized by affective disturbances and cognitive deficits. Among these, cognitive inflexibility and executive dysfunction are particularly prominent, yet the temporal dynamics of the frontoparietal control network (FPN), a core substrate of cognitive control, remain poorly understood. Using harmonized resting\u2010state fMRI data from the REST\u2010meta\u2010MDD consortium (\n                    <jats:italic>n =<\/jats:italic>\n                    887; 442 MDD, 445 healthy controls), we investigated dynamic functional connectivity (dFC) within the FPN. Time\u2010varying correlations among 21 FPN nodes were estimated using a sliding\u2010window approach and clustered via k\u2010means to identify recurring connectivity states. Temporal metrics included fractional occupancy, mean dwell time, and transition counts. Three unique FPN states were recognized. In comparison to healthy individuals, those with MDD exhibited prolonged durations in a hypoconnected state, extended dwell times in this configuration, and fewer total transitions, indicating diminished neural flexibility. Direct transitions between low\u2010connectivity (hypoconnected) and high\u2010connectivity (hyperconnected) states were selectively diminished, indicating a disruption in the direct transition between two functionally distinct states of the FPN. Overall, these findings reveal a fundamental disruption in the temporal organization of frontoparietal connectivity in MDD, marked by predominant hypoconnectivity, reduced flexibility, and constrained state transitions. By delineating the dynamic properties of network function, this study advances a mechanistic framework for interpreting prior inconsistencies in static connectivity research and underscores the necessity of time\u2010resolved approaches in characterizing large\u2010scale network dysfunction in psychiatric disorders.\n                  <\/jats:p>","DOI":"10.1002\/brb3.71339","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T06:47:32Z","timestamp":1776926852000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Altered Dynamic Functional Connectivity of the Frontoparietal Network in Major Depressive Disorder: Evidence From a Large\u2010Scale Resting\u2010State fMRI Study"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8897-6782","authenticated-orcid":false,"given":"Parsa","family":"Seyedzadeh","sequence":"first","affiliation":[{"name":"School of Psychology University of Sussex  Falmer UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyed Armin","family":"Hosseini","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering University of Tehran  Tehran Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,4,22]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhs352"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/fncir.2020.570583"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2018.05.013"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1018985108"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517\u20106161.1995.tb02031.x"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.099"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.psychres.2007.05.010"},{"key":"e_1_2_13_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bht154"},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.10.015"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.1093\/psyrad\/kkac005"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ajp.2019.18070870"},{"key":"e_1_2_13_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2024.10.087"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.1177\/1073858414525995"},{"key":"e_1_2_13_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/nn.3470"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010017\u201003073\u20105"},{"key":"e_1_2_13_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn3963"},{"key":"e_1_2_13_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23215"},{"key":"e_1_2_13_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2014.09.028"},{"key":"e_1_2_13_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2008.01.001"},{"key":"e_1_2_13_21_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1194144"},{"key":"e_1_2_13_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11065\u2010020\u201009436\u20106"},{"key":"e_1_2_13_23_1","volume-title":"Structured Clinical Interview for DSM\u2010IV Axis I Disorders (SCID\u2010I), Clinician Version","author":"First M. 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