{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T22:32:31Z","timestamp":1790807551525,"version":"4.1.0"},"reference-count":60,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1915065"],"award-info":[{"award-number":["1915065"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1915083"],"award-info":[{"award-number":["1915083"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2234346"],"award-info":[{"award-number":["2234346"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Neurorehabil Neural Repair"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Spatial neglect (SN) is a common visual attention deficit affecting stroke patients due to large-scale disruptions within brain networks. Most studies have focused only on resting-state, but effective rehabilitation requires a clearer understanding of how brain networks change during visuospatial tasks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to identify network disruptions associated with neglect by comparing resting-state and task-based electroencephalography (EEG) connectivity patterns in stroke patients with and without neglect.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We recorded EEG data from 28 stroke patients using the augmented reality (AR)-based EEG-guided neglect detection system (AREEN) during resting-state and a visuospatial task. Connectivity was measured using coherence in delta, theta, alpha, and beta bands for both conditions, with gamma-band coherence assessed only during the task. Graph-based metrics were applied to model network-level disruptions. Classification models evaluated the significance of connectivity features to find patterns predictive of neglect.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The neglect group showed reduced connectivity in frontal and right parieto-occipital (ParOcc) regions, primarily in beta and theta bands, during both conditions, with additional gamma-band connectivity differences in the task condition, compared to the non-neglect group. Conversely, connectivity was greater in central and midline regions, which may indicate a maladaptive shift in network organization. Classification models accurately classified patients into neglect and non-neglect groups (resting-state: 87.0%\u2009\u00b1\u20090.7%; task: 80.9%\u2009\u00b1\u200916.0%). Feature importance analysis identified eigenvector and closeness centrality within frontal, right ParOcc, and central regions as key predictors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Network disruptions can effectively identify SN and provide potential targets for connectivity-based rehabilitation. Future studies should investigate whether these interventions improve attention and recovery in stroke patients.<\/jats:p>\n                    <jats:p>This study was registered at ClinicalTrials.gov under ID NCT04187131.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/15459683261419423","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T09:32:53Z","timestamp":1772530373000},"page":"482-494","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Brain Network Connectivity During Resting-State and a Visuospatial Task as a Biomarker for Spatial Neglect in Stroke Patients"],"prefix":"10.1177","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6986-3578","authenticated-orcid":false,"given":"Golnaz","family":"Haddadshargh","sequence":"first","affiliation":[{"name":"Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA"},{"name":"Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA"},{"name":"Center for Neural Basis of Cognition, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Gall","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily S.","family":"Grattan","sequence":"additional","affiliation":[{"name":"Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Ostadabbas","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5603-1197","authenticated-orcid":false,"given":"George F.","family":"Wittenberg","sequence":"additional","affiliation":[{"name":"Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA"},{"name":"Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA"},{"name":"Center for Neural Basis of Cognition, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA, USA"},{"name":"Departments of Neurology and Physical Medicine &amp; Rehabilitation, University of Pittsburgh, TECH-GRECC, HERL, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Murat","family":"Akcakaya","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.2147\/NDT.S171461"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rehab.2020.10.010"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11910-019-0940-0"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rehab.2019.05.006"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rehab.2016.01.004"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2011.07.008"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.07.013"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-26491-6"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-017-0574-y"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/aww107"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2007.02.013"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102538"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1002\/ana.24690"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.974712"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102237"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0073416"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1093\/braincomms\/fcad149"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnp.2017.09.003"},{"key":"e_1_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2023.1163147"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1162\/netn_a_00210"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3188184"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1111\/ane.12998"},{"key":"e_1_3_3_24_2","doi-asserted-by":"crossref","unstructured":"Kocanaogullari D Huang X Mak J et al. 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