Evidence map›Paper›PMID 37195492›Full record

ArticleBrain topography2024

EEG Microstates as a Signature of Hemispheric Lateralization in Stroke.

Maria Rubega, Massimiliano Facca, Vittorio Curci, Giovanni Sparacino, Franco Molteni, Eleonora Guanziroli, Stefano Masiero, Emanuela Formaggio, Alessandra Del Felice

Open access · hybridAbstract read
In one paragraph

Article in Brain topography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Maria RubegaDepartment of Neuroscience, Section of Rehabilitation, University of Padova, Via Giustiniani 3, 35128, Padova, Italy.
Massimiliano FaccaPadova Neuroscience Center, University of Padova, Via Orus 2, 35131, Padova, Italy.
Vittorio CurciDepartment of Information Engineering, University of Padova, via Gradenigo 6/b, 35128, Padova, Italy.
Giovanni SparacinoDepartment of Information Engineering, University of Padova, via Gradenigo 6/b, 35128, Padova, Italy.
Franco MolteniVilla Beretta Rehabilitation Center, Valduce Hospital, Via Sauro 17, 23845, Costa Masnaga, Lecco, Italy.
Eleonora GuanziroliVilla Beretta Rehabilitation Center, Valduce Hospital, Via Sauro 17, 23845, Costa Masnaga, Lecco, Italy.
Stefano MasieroDepartment of Neuroscience, Section of Rehabilitation, University of Padova, Via Giustiniani 3, 35128, Padova, Italy.
Emanuela Formaggio *Department of Neuroscience, Section of Rehabilitation, University of Padova, Via Giustiniani 3, 35128, Padova, Italy.
Alessandra Del Felice *Padova Neuroscience Center, University of Padova, Via Orus 2, 35131, Padova, Italy. alessandra.delfelice@unipd.it.
University of Padua · ITOspedale Valduce · IT

Funding

EU H2020 Research and Innovation Staff Exchange grant: PRO GAIT grant agreement No. 778043European Commission REACT EU-PON Ricerca e Innovazione 2014-2020, DM 1062/2021Italian Ministry for foreign Affairs and International Cooperation PGR-01045 (SoftAct project)Italian Ministry of Education (MIUR) C96C18000370001Università degli Studi di Padova UNIPD research funding
6 · The paper itself

Abstract

Stroke recovery trajectories vary substantially. The need for tracking and prognostic biomarkers in stroke is utmost for prognostic and rehabilitative goals: electroencephalography (EEG) advanced signal analysis may provide useful tools toward this aim. EEG microstates quantify changes in configuration of neuronal generators of short-lasting periods of coordinated synchronized communication within large-scale brain networks: this feature is expected to be impaired in stroke. To characterize the spatio-temporal signatures of EEG microstates in stroke survivors in the acute/subacute phase, EEG microstate analysis was performed in 51 first-ever ischemic stroke survivors [(28-82) years, 24 with right hemisphere (RH) lesion] who underwent a resting-state EEG recording in the acute and subacute phase (from 48 h up to 42 days after the event). Microstates were characterized based on 4 parameters: global explained variance (GEV), mean duration, occurrences per second, and percentage of coverage. Wilcoxon Rank Sum tests were performed to compare features of each microstate across the two groups [i.e., left hemisphere (LH) and right hemisphere (RH) stroke survivors]. The canonical microstate map D, characterized by a mostly frontal topography, displayed greater GEV, occurrence per second, and percentage of coverage in LH than in RH stroke survivors (p < 0.05). The EEG microstate map B, with a left-frontal to right-posterior topography, and F, with an occipital-to-frontal topography, exhibited a greater GEV in RH than in LH stroke survivors (p = 0.015). EEG microstates identified specific topographic maps which characterize stroke survivors' lesioned hemisphere in the acute and early subacute phase. Microstate features offer an additional tool to identify different neural reorganization.

Indexed as

ElectroencephalographyStrokeBrainBrain MappingHumansPrognosisEEGHemispheric lateralizationMicrostatesStroke

Identifiers

PMID37195492
PMCPMC10191079
OpenAlexW4376871707

What OpenQuestion holds

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LicenceCC BY
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.