Evidence map›Paper›PMID 30355087›Full record

ArticleStroke2018

Resting-State Functional Connectivity Magnetic Resonance Imaging and Outcome After Acute Stroke.

Josep Puig, Gerard Blasco, Angel Alberich-Bayarri, Gottfried Schlaug, Gustavo Deco, Carles Biarnes, Marian Navas-Martí, Mireia Rivero, Jordi Gich, Jaume Figueras and 16 more

2 registry-linked trialsAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stroke, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing 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.

NCT04688970 unknown statusnot on this mapstarted 2020, after this paper: background citation

Personalized Neurorehabilitative Precision Medicine - From Data to Therapies

TypeobservationalSponsorUniversity Hospital TuebingenRan2020 to 2022Enrolled500ConditionsStroke, Acute, Outcome, Improvement, Rehabilitation, Upper Extremity ParesisArmsno intervention
NCT05410054 unknown statusnot on this mapstarted 2022, after this paper: background citation

The Prognostic Analysis of Upper Limb Motor Dysfunction After Stroke Based on Dynamic Connection of Motion Network

TypeobservationalSponsorFu Xing Hospital, Capital Medical UniversityRan2022 to 2025Enrolled178ConditionsStroke, Rehabilitation, Tobacco Use, Upper Extremity DysfunctionArmsno intervention
3 · Its place in the literature

Who cites it

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

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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

26 authors.

Josep PuigFrom the Imaging Research Unit, Department of Radiology (Girona Biomedical Research Institute) Girona Biomedical Research Institute, Diagnostic Imaging Institute (IDI) (J.P., G.B., C.B., M.N.-M., C.L.O.-R., S.P.), Dr Josep Trueta University Hospital, Girona, Spain.
Gerard BlascoFrom the Imaging Research Unit, Department of Radiology (Girona Biomedical Research Institute) Girona Biomedical Research Institute, Diagnostic Imaging Institute (IDI) (J.P., G.B., C.B., M.N.-M., C.L.O.-R., S.P.), Dr Josep Trueta University Hospital, Girona, Spain.
Angel Alberich-BayarriQuantitative Imaging Biomarkers In Medicine, La Fe Health Research Institute, La Fe Polytechnics and University Hospital, Valencia, Spain (A.A.-B.).
Gottfried SchlaugNeuroimaging and Stroke Recovery Laboratory, Department of Neurology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (G.S.).
Gustavo DecoCenter for Brain and Cognition, Universitat Pompeu Fabra, Barcelona, Spain (G.D.).
Carles BiarnesFrom the Imaging Research Unit, Department of Radiology (Girona Biomedical Research Institute) Girona Biomedical Research Institute, Diagnostic Imaging Institute (IDI) (J.P., G.B., C.B., M.N.-M., C.L.O.-R., S.P.), Dr Josep Trueta University Hospital, Girona, Spain.
Marian Navas-MartíFrom the Imaging Research Unit, Department of Radiology (Girona Biomedical Research Institute) Girona Biomedical Research Institute, Diagnostic Imaging Institute (IDI) (J.P., G.B., C.B., M.N.-M., C.L.O.-R., S.P.), Dr Josep Trueta University Hospital, Girona, Spain.
Mireia RiveroDepartment of Neurology, Girona Biomedical Research Institute (M.R., J.G., J.S.), Dr Josep Trueta University Hospital, Girona, Spain.
Jordi GichDepartment of Neurology, Girona Biomedical Research Institute (M.R., J.G., J.S.), Dr Josep Trueta University Hospital, Girona, Spain.
Jaume FiguerasDepartment of Rehabilitation (J.F., C.T.), Dr Josep Trueta University Hospital, Girona, Spain.
Cristina TorresDepartment of Rehabilitation (J.F., C.T.), Dr Josep Trueta University Hospital, Girona, Spain.
Pepus Daunis-I-EstadellaDepartment of Computer Science, Applied Mathematics, and Statistics, University of Girona, Spain (P.D.-i.-E.).
Celia L Oramas-RequejoFrom the Imaging Research Unit, Department of Radiology (Girona Biomedical Research Institute) Girona Biomedical Research Institute, Diagnostic Imaging Institute (IDI) (J.P., G.B., C.B., M.N.-M., C.L.O.-R., S.P.), Dr Josep Trueta University Hospital, Girona, Spain.
Joaquín SerenaDepartment of Neurology, Girona Biomedical Research Institute (M.R., J.G., J.S.), Dr Josep Trueta University Hospital, Girona, Spain.
Cathy M StinearDepartment of Medicine, Centre for Brain Research, University of Auckland, New Zealand (C.M.S.).
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medical College, NY (A.K.).
Carles Soriano-MasDepartment of Psychiatry, Bellvitge University Hospital-Instituto de Investigación Biomédica de Bellvitge, Hospitalet del Llobregat, Barcelona, Spain (C.S.-M.).
Götz ThomallaDepartment of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany (G.T.).
Marco EssigDepartment of Radiology, University of Manitoba, Winnipeg, Canada (M.E., C.R.F.).
Chase R FigleyDepartment of Radiology, University of Manitoba, Winnipeg, Canada (M.E., C.R.F.).
Bijoy MenonDepartments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada (B.M., A.D.).
Andrew DemchukDepartments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Alberta, Canada (B.M., A.D.).
Kambiz NaelDepartment of Radiology, Icahn School of Medicine at Mount Sinai, NY (K.N.).
Max WintermarkNeuroradiology Division, Department of Radiology, Stanford University, Palo Alto, CA (M.W.).
David S LiebeskindNeurovascular Imaging Research Core and University of California Los Angeles Stroke Center, Los Angeles, CA (D.S.L.).
Salvador PedrazaFrom the Imaging Research Unit, Department of Radiology (Girona Biomedical Research Institute) Girona Biomedical Research Institute, Diagnostic Imaging Institute (IDI) (J.P., G.B., C.B., M.N.-M., C.L.O.-R., S.P.), Dr Josep Trueta University Hospital, Girona, Spain.

Funding

TRANScranial direct current stimulation for POst-stroke motor Recover - a phase II sTudy (TRANSPORT 2)U01NS102353 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FENG, WUWEI, SCHLAUG, GOTTFRIED · 2018 to 2023
$8.5M
NINDS NIH HHS U01 NS102353
6 · The paper itself

Abstract

Background and Purpose- Physiological effects of stroke are best assessed over entire brain networks rather than just focally at the site of structural damage. Resting-state functional magnetic resonance imaging can map functional-anatomic networks by analyzing spontaneously correlated low-frequency activity fluctuations across the brain, but its potential usefulness in predicting functional outcome after acute stroke remains unknown. We assessed the ability of resting-state functional magnetic resonance imaging to predict functional outcome after acute stroke. Methods- We scanned 37 consecutive reperfused stroke patients (age, 69±14 years; 14 females; 3-day National Institutes of Health Stroke Scale score, 6±5) on day 3 after symptom onset. After imaging preprocessing, we used a whole-brain mask to calculate the correlation coefficient matrices for every paired region using the Harvard-Oxford probabilistic atlas. To evaluate functional outcome, we applied the modified Rankin Scale at 90 days. We used region of interest analyses to explore the functional connectivity between regions and graph-computation analysis to detect differences in functional connectivity between patients with good functional outcome (modified Rankin Scale score ≤2) and those with poor outcome (modified Rankin Scale score >2). Results- Patients with good outcome had greater functional connectivity than patients with poor outcome. Although 3-day National Institutes of Health Stroke Scale score was the most accurate independent predictor of 90-day modified Rankin Scale (84.2%), adding functional connectivity increased accuracy to 94.7%. Preserved bilateral interhemispheric connectivity between the anterior inferior temporal gyrus and superior frontal gyrus and decreased connectivity between the caudate and anterior inferior temporal gyrus in the left hemisphere had the greatest impact in favoring good prognosis. Conclusions- These data suggest that information about functional connectivity from resting-state functional magnetic resonance imaging may help predict 90-day stroke outcome.

Indexed as

AgedAged, 80 and overBrainBrain IschemiaFemaleFunctional LateralityHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysStrokebrainmagnetic resonance imagingpatientsreperfusionstroke

Identifiers

PMID30355087
PMCPMC6645916

What OpenQuestion holds

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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.