ArticleJournal of neuroengineering and rehabilitation2026
Neural mechanisms underlying loss of functional independence after stroke: EEG evidence of impaired motor-to-sensory directed connectivity on the affected side.
Article in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundPost-stroke reorganization of the prefrontal-sensorimotor network is critical for functional recovery, yet single connectivity metrics fail to capture its multidimensional characteristics. This exploratory study investigates network reorganization patterns and their clinical relevance to motor function and daily independence using multimodal electroencephalography (EEG) connectivity analysis, including Coherence (COH), phase lag index (PLI), and Granger causality (GC).
methodsResting-state EEG from stroke patients (n = 22) and healthy controls (n = 22) was analyzed. COH, PLI, and GC metrics were computed for key regional connections involving the prefrontal (PFC), motor (MC), sensory (SC), and parietal (PC) cortices and correlated with Fugl-Meyer Assessment for Upper Extremity (FMA-UE) and Modified Barthel Index(MBI) scores. For stroke patients, hemispheres were classified as ipsilesional (i, affected) and contralesional (c, unaffected) based on the lesion side.
resultsCompared to healthy controls, stroke patients exhibited distinct reorganization patterns. Preliminary evidence suggests enhanced parietal-motor coherence (COH_cPC-cMC↑) in the unaffected hemisphere alongside reduced motor-to-prefrontal directed connectivity (GC_cMC→cPFC↓). Interhemispherically, the findings may indicate weakened information flow from the unaffected to affected motor/sensory areas (GC_cMC→iMC↓, GC_cMC→iSC↓), accompanied by reduced bilateral motor synchronization (PLI_iMC-cMC↓). Within the affected hemisphere, there was evidence of enhanced bidirectional parietal-motor phase transfer (PLI_iPC-iMC↑), whereas directed pathways were significantly impaired (GC_iMC→iSC↓, GC_iPC→iSC↓, GC_iPFC→iMC↓). Clinically, the affected motor-to-sensory pathway (GC_iMC→iSC) showed a strong negative correlation with the MBI (r = -0.61, P = 0.002), and both interhemispheric motor regulation (GC_cMC→iMC) and synchronization (PLI_iMC-cMC) were significantly correlated with functional deficits (P < 0.05).
conclusionPost-stroke networks may exhibit a "local compensation-global impairment" reorganization pattern. The affected motor-sensory pathway (GC_iMC→iSC) may be a biomarker for functional independence and thus allow for guided sensory integration-based precision rehabilitation.
Indexed as
Identifiers
42919255What OpenQuestion holds
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.