Evidence map›Paper›PMID 24523262›Full record

ArticleHuman brain mapping2014

Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: A 3T fMRI pilot study.

R Dacosta-Aguayo, M Graña, A Savio, M Fernández-Andújar, M Millán, E López-Cancio, C Cáceres, N Bargalló, C Garrido, M Barrios and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Human brain mapping, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. The Cerebellar Connectome Disruptions in Ischemic Stroke.CNS neuroscience & therapeutics · 2026
    Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Research and application advances in rehabilitation assessment of stroke.Journal of Zhejiang University. Science. B · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Indexing brain state-dependent pupil dynamics with simultaneous fMRI and optical fiber calcium recording.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Article
  20. 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

16 authors at 8 institutions in 2 countries.

R Dacosta-AguayoDepartment of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain; Department of CCIA, Group of Computational Intelligence, University of the Basque Country UPV/EHU, San Sebastian, Spain.
M Graña
A Savio
M Fernández-Andújar
M Millán
E López-Cancio
C Cáceres
N Bargalló
C Garrido
M Barrios
I C Clemente
M Hernández
J Munuera
A Dávalos
T Auer
M Mataró
Hospital Universitari Germans Trias i Pujol · ESUniversitat de Barcelona · ESUniversity of the Basque Country · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESHospital Clínic de Barcelona · ESInstitut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESMRC Cognition and Brain Sciences Unit · GBUniversitat Autònoma de Barcelona · ES

Funding

Medical Research Council MC_U105579212
6 · The paper itself

Abstract

Resting-state studies conducted with stroke patients are scarce. First objective was to explore whether patients with good cognitive recovery showed differences in resting-state functional patterns of brain activity when compared to patients with poor cognitive recovery. Second objective was to determine whether such patterns were correlated with cognitive performance. Third objective was to assess the existence of prognostic factors for cognitive recovery. Eighteen right-handed stroke patients and eighteen healthy controls were included in the study. Stroke patients were divided into two groups according to their cognitive improvement observed at three months after stroke. Probabilistic independent component analysis was used to identify resting-state brain activity patterns. The analysis identified six networks: frontal, fronto-temporal, default mode network, secondary visual, parietal, and basal ganglia. Stroke patients showed significant decrease in brain activity in parietal and basal ganglia networks and a widespread increase in brain activity in the remaining ones when compared with healthy controls. When analyzed separately, patients with poor cognitive recovery (n=10) showed the same pattern as the whole stroke patient group, while patients with good cognitive recovery (n=8) showed increased activity only in the default mode network and fronto-temporal network, and decreased activity in the basal ganglia. We observe negative correlations between basal ganglia network activity and performance in Semantic Fluency test and Part A of the Trail Making Test for patients with poor cognitive recovery. A reverse pattern was observed between frontal network activity and the above mentioned tests for the same group. .

Indexed as

CognitionRecovery of FunctionAdultAgedBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeuropsychological TestsPilot ProjectsPrognosisRestcognitive recoveryfMRIinterhemispheric balanceischemic strokeprobabilistic independent component analysisresting state

Identifiers

PMID24523262
PMCPMC4282459
OpenAlexW1598561536

What OpenQuestion holds

Textmetadata
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.