ArticleNeuroImage. Clinical2020
Resting-state EEG topographies: Reliable and sensitive signatures of unilateral spatial neglect.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Brain Network Connectivity During Resting-State and a Visuospatial Task as a Biomarker for Spatial Neglect in Stroke Patients.Neurorehabilitation and neural repair · 2026Trial
- Effect of repetitive transcranial magnetic stimulation on upper limb motor function in stroke patients with right hemiplegia based on EEG microstates and EMG.Frontiers in neurology · 2025Article
- Sleep-like cortical dynamics during wakefulness and their network effects following brain injury.Nature communications · 2024Review
- Prediction of post-stroke motor recovery benefits from measures of sub-acute widespread network damages.Brain communications · 2023Article
- Functional connectivity drives stroke recovery: shifting the paradigm from correlation to causation.Brain : a journal of neurology · 2022Review
- Hemispheric differences in altered reactivity of brain oscillations at rest after posterior lesions.Brain structure & function · 2022Article
- Resting-state electroencephalography changes in poststroke patients with visuospatial neglect.Frontiers in neuroscience · 2022Article
- EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics.Frontiers in neuroscience · 2022Article
- Neuromechanical Biomarkers for Robotic Neurorehabilitation.Frontiers in neurorobotics · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Theoretical advances in the neurosciences are leading to the development of an increasing number of proposed interventions for the enhancement of functional recovery after brain damage. Integration of these novel approaches in clinical practice depends on the availability of reliable, simple, and sensitive biomarkers of impairment level and extent of recovery, to enable an informed clinical-decision process. However, the neuropsychological tests currently in use do not tap into the complex neural re-organization process that occurs after brain insult and its modulation by treatment. Here we show that topographical analysis of resting-state electroencephalography (rsEEG) patterns using singular value decomposition (SVD) could be used to capture these processes. In two groups of subacute stroke patients, we show reliable detection of deviant neurophysiological patterns over repeated measurement sessions on separate days. These patterns generalized across patients groups. Additionally, they maintained a significant association with ipsilesional attention bias, discriminating patients with spatial neglect of different severity levels. The sensitivity and reliability of these rsEEG topographical analyses support their use as a tool for monitoring natural and treatment-induced recovery in the rehabilitation process.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.