Evidence map›Paper›PMID 37265601›Full record

ArticleBrain communications2023

Altered microstructure of the contralesional ventral premotor cortex and motor output after stroke.

Paweł P Wróbel, Stephanie Guder, Jan F Feldheim, José A Graterol Pérez, Benedikt M Frey, Chi-Un Choe, Marlene Bönstrup, Bastian Cheng, Yogesh Rathi, Ofer Pasternak and 4 more

RetractedErratum issuedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Paweł P WróbelDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Stephanie GuderDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Jan F FeldheimDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
José A Graterol PérezDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Benedikt M FreyDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Chi-Un ChoeDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Marlene BönstrupDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.ORCID https://orcid.org/0000-0002-7237-1359
Bastian ChengDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.ORCID https://orcid.org/0000-0003-2434-1822
Yogesh RathiPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston 02115, MA, USA.
Ofer PasternakPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston 02115, MA, USA.
Götz ThomallaDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.ORCID https://orcid.org/0000-0002-4785-1449
Christian GerloffDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Martha E ShentonPsychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston 02115, MA, USA.
Robert SchulzDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg 20251, Germany.
Universität Hamburg · DEBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cortical thickness analyses have provided valuable insights into changes in cortical brain structure after stroke and their association with recovery. Across studies though, relationships between cortical structure and function show inconsistent results. Recent developments in diffusion-weighted imaging of the cortex have paved the way to uncover hidden aspects of stroke-related alterations in cortical microstructure, going beyond cortical thickness as a surrogate for cortical macrostructure. We re-analysed clinical and imaging data of 42 well-recovered chronic stroke patients from 2 independent cohorts (mean age 64 years, 4 left-handed, 71% male, 16 right-sided strokes) and 33 healthy controls of similar age and gender. Cortical fractional anisotropy and cortical thickness values were obtained for six key sensorimotor areas of the contralesional hemisphere. The regions included the primary motor cortex, dorsal and ventral premotor cortex, supplementary and pre-supplementary motor areas, and primary somatosensory cortex. Linear models were estimated for group comparisons between patients and controls and for correlations between cortical fractional anisotropy and cortical thickness and clinical scores. Compared with controls, stroke patients exhibited a reduction in fractional anisotropy in the contralesional ventral premotor cortex (

Indexed as

corticalDWIhemisphereplasticityunaffected

Identifiers

PMID37265601
PMCPMC10231803
OpenAlexW4377041522

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.