ArticleJournal of neuroengineering and rehabilitation2017
Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery.
Article in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
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
34 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- EEG biomarkers for assessment, prognosis, and monitoring of natural upper limb recovery after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Stroke Neurorehabilitation and the Role of Motor Imagery Training: Do ARAT and Barthel Index Improvements Support Its Clinical Use? A Systematic Review and Meta-Analysis.Medicina (Kaunas, Lithuania) · 2026Pooled it
- The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis.Neurorehabilitation and neural repair · 2022Pooled it
- Escitalopram promotes recovery from hand paresis in cortical sensori-motor stroke: a randomized, double-blind, placebo-controlled longitudinal study.Journal of neuroengineering and rehabilitation · 2026Trial
- Predicting upper extremity motor improvement following therapy using EEG-based connectivity in chronic stroke.NeuroRehabilitation · 2022Trial
- Human-AI Cooperation in Healthcare and Rehabilitation.Delaware journal of public health · 2026Article
- Motor Imagery for Post-Stroke Upper Limb Recovery: A Meta-Analysis of RCTs on Fugl-Meyer Upper Extremity Scores.Journal of clinical medicine · 2025Review
- Estimation of Stroke's Motor Function Ability Using Multimodal Biomarkers and the Role of Contralesional Motor Area.Brain and behavior · 2025Article
- Predicting upper limb motor dysfunction after ischemic stroke: a functional near-infrared spectroscopy-based nomogram model.Frontiers in neurology · 2025Article
- Neurophysiological characterization of stroke recovery: A longitudinal TMS and EEG study.CNS neuroscience & therapeutics · 2024Article
- A Narrative Review on Multi-Domain Instrumental Approaches to Evaluate Neuromotor Function in Rehabilitation.Healthcare (Basel, Switzerland) · 2023Review
- Task Cortical Connectivity Reveals Different Network Reorganizations between Mild Stroke Patients with Cortical and Subcortical Lesions.Brain sciences · 2023Article
- Multiscale effects of excitatory-inhibitory homeostasis in lesioned cortical networks: A computational study.PLoS computational biology · 2023Article
- Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability.Journal of neuroengineering and rehabilitation · 2023Review
- Patient-specific modeling for guided rehabilitation of stroke patients: the BrainX3 use-case.Frontiers in neurology · 2023Article
- Brain oscillations in reflecting motor status and recovery induced by action observation-driven robotic hand intervention in chronic stroke.Frontiers in neuroscience · 2023Article
- Brain network analysis reveals convergent and divergent aberrations between mild stroke patients with cortical and subcortical infarcts during cognitive task performing.Frontiers in aging neuroscience · 2023Article
- A Method for Estimating Longitudinal Change in Motor Skill from Individualized Functional-Connectivity Measures.Sensors (Basel, Switzerland) · 2022Article
- Bilateral Sensorimotor Cortical Communication Modulated by Multiple Hand Training in Stroke Participants: A Single Training Session Pilot Study.Bioengineering (Basel, Switzerland) · 2022Article
- A Novel Deep Learning Method Based on an Overlapping Time Window Strategy for Brain-Computer Interface-Based Stroke Rehabilitation.Brain sciences · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundBiomarkers derived from neural activity of the brain present a vital tool for the prediction and evaluation of post-stroke motor recovery, as well as for real-time biofeedback opportunities.
methodsIn order to encapsulate recovery-related reorganization of brain networks into such biomarkers, we have utilized the generalized measure of association (GMA) and graph analyses, which include global and local efficiency, as well as hemispheric interdensity and intradensity. These methods were applied to electroencephalogram (EEG) data recorded during a study of 30 stroke survivors (21 male, mean age 57.9 years, mean stroke duration 22.4 months) undergoing 12 weeks of intensive therapeutic intervention.
resultsWe observed that decreases of the intradensity of the unaffected hemisphere are correlated (r
conclusionsThese topological measures show promise for prognosis and evaluation of therapeutic outcomes, as well as potential application to BCI-enabled biofeedback.
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