Evidence map›Paper›PMID 42661742›Full record

ArticleFrontiers in neuroscience2026

Non-linear and spectral EEG dynamics as stage-specific biomarkers of neuropsychological recovery post-stroke.

Larisa Mayorova, Anastasia Kushnir, Alexey Yakovlev, Andrey Grechko, Galina Portnova

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Larisa MayorovaInstitute of Higher Nervous Activity and Neurophysiology RAS, Moscow, Russia.
Anastasia KushnirInstitute of Higher Nervous Activity and Neurophysiology RAS, Moscow, Russia.
Alexey YakovlevLaboratory of Experimental Neurology and Neuroimaging, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Andrey GrechkoLaboratory of Experimental Neurology and Neuroimaging, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Galina PortnovaInstitute of Higher Nervous Activity and Neurophysiology RAS, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Resting-state electroencephalography (EEG) offers promising window into the neuroplastic changes underlying recovery after stroke. This longitudinal study aimed to characterize the stage-specific dynamics of non-linear (fractal dimension, FD) and linear (power spectral density, PSD) EEG metrics and to evaluate their associations with recovery of neuropsychological functions. Methods: We recruited 44 patients with left-hemisphere ischemic stroke at various recovery stages and 25 age-matched healthy controls. All participants underwent high-density EEG recording at two time points (~5-7 weeks apart). The EEG was analyzed for FD, PSD across standard frequency bands. Results: A rehabilitation-related increase in FD in the right hemisphere was observed in all patient groups except those in the early recovery stage, where a unique decrease in left-hemisphere FD occurred. This right-hemispheric FD increase correlated with improvements in motor control function. Spectral changes were also stage-specific: a decrease in frontal beta power (14-20 Hz) was linked to longer inter-session intervals, while a right posterior increase in slow-wave activity (2-6 Hz) correlated with gains in auditory-verbal memory. Conversely, a reduction in alpha power (7-9 Hz) was associated with improved visuospatial ability and motor functions, but only in early and intermediate recovery stages. Recovery after stroke is subserved by dynamic, phase-specific neurophysiological processes reflected in the FD and spectral composition of spontaneous brain activity. The right hemisphere appears to play a crucial compensatory role, with FD serving as a sensitive biomarker of motor planning recovery. Conclusion: These findings underscore the necessity of stage-specific neurorehabilitation framework, informed by objective EEG biomarkers, to individualize and enhance therapeutic efficacy.

Indexed as

cognitive functionfractal dimensionpost-stroke recoverypower spectral densitystroke

Identifiers

PMID42661742
PMCPMC13518554

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.