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Brain Network Connectivity During Resting-State and a Visuospatial Task as a Biomarker for Spatial Neglect in Stroke

Golnaz Haddadshargh1,2,3, Richard Gall4, Emily S Grattan5

  • 1Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA.

Neurorehabilitation and Neural Repair
|March 3, 2026
PubMed
Summary

Spatial neglect (SN) in stroke patients is identified by brain network disruptions. Both resting-state and task-based EEG revealed significant connectivity differences, aiding in neglect detection and rehabilitation strategies.

Keywords:
EEGfunctional connectivitygraphspatial neglectstrokevisuospatial task

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Rehabilitation Medicine

Background:

  • Spatial neglect (SN) is a common visual attention deficit post-stroke, linked to widespread brain network disruptions.
  • Current research often overlooks network dynamics during visuospatial tasks, crucial for effective rehabilitation.

Purpose of the Study:

  • To compare resting-state and task-based electroencephalography (EEG) connectivity patterns in stroke patients with and without neglect.
  • To identify specific network disruptions predictive of spatial neglect.

Main Methods:

  • EEG data collected from 28 stroke patients using an AR-based system (AREEN) during resting-state and a visuospatial task.
  • Connectivity analysis using coherence (delta, theta, alpha, beta, gamma bands) and graph-based network metrics.
  • Machine learning models used to classify patients and identify key predictive connectivity features.

Main Results:

  • The neglect group exhibited reduced frontal and right parieto-occipital (ParOcc) connectivity (beta, theta bands) in both states, with additional gamma-band differences during tasks.
  • Increased connectivity in central and midline regions suggested potential maladaptive network reorganization.
  • Classification models achieved high accuracy (resting-state: 87.0%; task: 80.9%) in distinguishing neglect from non-neglect groups.

Conclusions:

  • Brain network disruptions identified via EEG connectivity are effective biomarkers for spatial neglect.
  • These findings highlight potential targets for developing connectivity-based rehabilitation interventions for stroke patients.
  • Further research is needed to confirm the efficacy of these interventions in improving attention and recovery.