Evidence map›Paper›PMID 41688457›Full record

ArticleScientific data2026

Multisession fNIRS-EEG data of Post-Stroke Motor Recovery. Recordings During Intact and Paretic Hand Movements.

Alexandra Medvedeva, Nikolay Syrov, Lev Yakovlev, Yana Alieva, Artemiy Berkmush-Antipova, Galina Ivanova, Natalia Shusharina, Alexander Kaplan

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

8 authors.

Alexandra MedvedevaCenter for Bio- and Medical Technologies, Skolkovo Institute of Science and Technology, Moscow, Russia. aleksandramedvedeva206@gmail.com.ORCID http://orcid.org/0009-0006-9998-4741
Nikolay SyrovCenter for Bio- and Medical Technologies, Skolkovo Institute of Science and Technology, Moscow, Russia.
Lev YakovlevCenter for Bio- and Medical Technologies, Skolkovo Institute of Science and Technology, Moscow, Russia.
Yana AlievaFederal Center of Brain Research and Neurotechnologies of the federal medical biological agency, Moscow, Russia.
Artemiy Berkmush-AntipovaBaltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia.
Galina IvanovaFederal Center of Brain Research and Neurotechnologies of the federal medical biological agency, Moscow, Russia.
Natalia ShusharinaBaltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia.
Alexander KaplanLaboratory for Neurophysiology and Neuro-Computer interfaces, Department of Human and Animal Physiology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.

Funding

Ministry of Education and Science of the Russian Federation (Minobrnauka) FZWM-2024-0013
6 · The paper itself

Abstract

Accurate diagnosis and monitoring of recovery after stroke are critical for effective motor rehabilitation. As stroke is inherently associated with impaired cerebral blood flow, functional near-infrared spectroscopy (fNIRS) provides a valuable tool for assessing hemodynamic changes in the brain. When combined with electroencephalography (EEG), this multimodal approach can provide complementary insights into neural and vascular responses during recovery. However, longitudinal datasets combining fNIRS and EEG in stroke populations remain limited. The current article presents an open access dataset with simultaneous fNIRS and EEG recordings from 16 post-stroke patients over 84 rehabilitation sessions. Participants performed motor tasks with both paretic and intact hands. The dataset includes raw and processed signals, clinical scores (ARAT, Fugl-Meyer) and patient demographics. This resource supports research into stroke recovery, development of neurorehabilitation strategies and fNIRS-based brain computer interfaces (BCI).

Indexed as

ElectroencephalographyHandParesisStrokeStroke RehabilitationAdultAgedBrain-Computer InterfacesDatasets as TopicFemaleHumansMaleMiddle AgedMovementRecovery of FunctionSpectroscopy, Near-Infrared

Identifiers

PMID41688457
PMCPMC13018638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.