001     907508
005     20240129202805.0
024 7 _ |a 10.1093/brain/awac157
|2 doi
024 7 _ |a 0006-8950
|2 ISSN
024 7 _ |a 1460-2156
|2 ISSN
024 7 _ |a 2128/34152
|2 Handle
024 7 _ |a 35485480
|2 pmid
024 7 _ |a WOS:000894006500001
|2 WOS
037 _ _ |a FZJ-2022-02063
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Hensel, Lukas
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Recovered grasping performance after stroke depends on interhemispheric frontoparietal connectivity
260 _ _ |a Oxford
|c 2023
|b Oxford Univ. Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1706531419_27505
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Activity changes in the ipsi- and contralesional parietal cortex and abnormal interhemispheric connectivity between these regions are commonly observed after stroke, however, their significance for motor recovery remains poorly understood. We here assessed the contribution of ipsilesional and contralesional anterior intraparietal cortex (aIPS) for hand motor function in eighteen recovered chronic stroke patients and eighteen healthy controls using a multimodal assessment consisting of resting-state fMRI, motor task fMRI, online-rTMS interference, and 3-D movement kinematics. Effects were compared against two control stimulation sites, i.e., contralesional M1 and a sham stimulation condition. We found that patients with good motor outcome compared to patients with more substantial residual deficits featured increased resting-state connectivity between ipsilesional aIPS and contralesional aIPS as well as between ipsilesional aIPS and dorsal premotor cortex. Moreover, interhemispheric connectivity between ipsilesional M1 and contralesional M1 as well as ipsilesional aIPS and contralesional M1 correlated with better motor performance across tasks. TMS interference at individual aIPS and M1 coordinates led to differential effects depending on the motor task that was tested, i.e., index finger-tapping, rapid pointing movements, or a reach-grasp-lift task. Interfering with contralesional aIPS deteriorated the accuracy of grasping, especially in patients featuring higher connectivity between ipsi- and contralesional aIPS. In contrast, interference with the contralesional M1 led to impaired grasping speed in patients featuring higher connectivity between bilateral M1. These findings suggest differential roles of contralesional M1 and aIPS for distinct aspects of recovered hand motor function, depending on the reorganization of interhemispheric connectivity.
536 _ _ |a 5252 - Brain Dysfunction and Plasticity (POF4-525)
|0 G:(DE-HGF)POF4-5252
|c POF4-525
|f POF IV
|x 0
536 _ _ |a DFG project 431549029 - SFB 1451: Schlüsselmechanismen normaler und krankheitsbedingt gestörter motorischer Kontrolle (431549029)
|0 G:(GEPRIS)431549029
|c 431549029
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Lange, Fabian
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Tscherpel, Caroline
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Viswanathan, Shivakumar
|0 P:(DE-Juel1)162395
|b 3
700 1 _ |a Freytag, Jana
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 5
700 1 _ |a Volz, Lukas J.
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Fink, Gereon Rudolf
|0 P:(DE-Juel1)131720
|b 7
700 1 _ |a Grefkes, Christian
|0 P:(DE-Juel1)161406
|b 8
|e Corresponding author
773 _ _ |a 10.1093/brain/awac157
|g p. awac157
|0 PERI:(DE-600)1474117-9
|n 3
|p 1006-1020
|t Brain
|v 146
|y 2023
|x 0006-8950
856 4 _ |u https://juser.fz-juelich.de/record/907508/files/awac157-1.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:907508
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne , Cologne, Germany
|0 I:(DE-HGF)0
|b 0
|6 P:(DE-HGF)0
910 1 _ |a Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne , Cologne, Germany
|0 I:(DE-HGF)0
|b 1
|6 P:(DE-HGF)0
910 1 _ |a Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne , Cologne, Germany
|0 I:(DE-HGF)0
|b 2
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)162395
910 1 _ |a Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne , Cologne, Germany
|0 I:(DE-HGF)0
|b 4
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)131678
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 5
|6 P:(DE-Juel1)131678
910 1 _ |a Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne , Cologne, Germany
|0 I:(DE-HGF)0
|b 6
|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)131720
910 1 _ |a Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne , Cologne, Germany
|0 I:(DE-HGF)0
|b 7
|6 P:(DE-Juel1)131720
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)161406
910 1 _ |a Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne , Cologne, Germany
|0 I:(DE-HGF)0
|b 8
|6 P:(DE-Juel1)161406
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5252
|x 0
914 1 _ |y 2023
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-29
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0
|0 LIC:(DE-HGF)CCBYNC4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-29
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2023-10-21
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-21
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BRAIN : 2022
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-21
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b BRAIN : 2022
|d 2023-10-21
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
920 1 _ |0 I:(DE-Juel1)INM-3-20090406
|k INM-3
|l Kognitive Neurowissenschaften
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a I:(DE-Juel1)INM-3-20090406
980 _ _ |a UNRESTRICTED
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21