Brain Network Connectivity During Resting-State and a Visuospatial Task as a Biomarker for Spatial Neglect in Stroke Patients.
Background: 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 vis...
| Publicado en: | Neurorehabilitation & Neural Repair Vol. 40; no. 6; pp. 482 - 495 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194057284&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194057284 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15459683 IRK jtl: Neurorehabilitation & Neural Repair issn: 15459683 maglogo: Y pubinfo: dt: Jun2026 vid: 40 iid: 6 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 194057284 192060145 194057284 194057284 10.1177/15459683261419423 194057284 ppf: 482 ppct: 13 formats: tig: atl: Brain Network Connectivity During Resting-State and a Visuospatial Task as a Biomarker for Spatial Neglect in Stroke Patients. aug: au: Haddadshargh, Golnaz Gall, Richard Grattan, Emily S. Ostadabbas, Sarah Wittenberg, George F. Akcakaya, Murat affil: Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA sug: subj: Unilateral Neglect Evaluation Stroke Patients Brain Mapping Biological Markers Diagnostic Use Spatial Perception Electroencephalography Methods Task Performance and Analysis Pennsylvania Human Male Female Middle Age Aged Aged, 80 and Over Descriptive Statistics Academic Medical Centers Neuropsychological Tests Pearson's Correlation Coefficient Wilcoxon Signed Rank Test Data Analysis Software Funding Source Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Background: 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. Objective: 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. Methods: 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. Results: 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% ± 0.7%; task: 80.9% ± 16.0%). Feature importance analysis identified eigenvector and closeness centrality within frontal, right ParOcc, and central regions as key predictors. Conclusions: 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. This study was registered at ClinicalTrials.gov under ID NCT04187131. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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