guest ::
| Home > Publications database > Connectivity-Related Roles of Contralesional Brain Regions for Motor Performance Early after Stroke > print |
| Home > Publications database > Connectivity-Related Roles of Contralesional Brain Regions for Motor Performance Early after Stroke > print |
| 001 | 885429 | ||
| 005 | 20230111074226.0 | ||
| 024 | 7 | _ | |a 10.1093/cercor/bhaa270 |2 doi |
| 024 | 7 | _ | |a 1047-3211 |2 ISSN |
| 024 | 7 | _ | |a 1460-2199 |2 ISSN |
| 024 | 7 | _ | |a 2128/26764 |2 Handle |
| 024 | 7 | _ | |a 32995880 |2 pmid |
| 024 | 7 | _ | |a WOS:000646868100019 |2 WOS |
| 037 | _ | _ | |a FZJ-2020-03826 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Hensel, Lukas |0 P:(DE-Juel1)142144 |b 0 |
| 245 | _ | _ | |a Connectivity-Related Roles of Contralesional Brain Regions for Motor Performance Early after Stroke |
| 260 | _ | _ | |a Oxford |c 2021 |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 1635421169_29932 |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 Hemiparesis after stroke is associated with increased neural activity not only in the lesioned but also in the contralesional hemisphere. While most studies have focused on the role of contralesional primary motor cortex (M1) activity for motor performance, data on other areas within the unaffected hemisphere are scarce, especially early after stroke. We here combined functional magnetic resonance imaging (fMRI) and transcranial magnetic stimulation (TMS) to elucidate the contribution of contralesional M1, dorsal premotor cortex (dPMC), and anterior intraparietal sulcus (aIPS) for the stroke-affected hand within the first 10 days after stroke. We used "online" TMS to interfere with neural activity at subject-specific fMRI coordinates while recording 3D movement kinematics. Interfering with aIPS activity improved tapping performance in patients, but not healthy controls, suggesting a maladaptive role of this region early poststroke. Analyzing effective connectivity parameters using a Lasso prediction model revealed that behavioral TMS effects were predicted by the coupling of the stimulated aIPS with dPMC and ipsilesional M1. In conclusion, we found a strong link between patterns of frontoparietal connectivity and TMS effects, indicating a detrimental influence of the contralesional aIPS on motor performance early after stroke.Keywords: DCM; diaschisis; kinematics; motor network; recovery. |
| 536 | _ | _ | |a 571 - Connectivity and Activity (POF3-571) |0 G:(DE-HGF)POF3-571 |c POF3-571 |f POF III |x 0 |
| 536 | _ | _ | |a 5252 - Brain Dysfunction and Plasticity (POF4-525) |0 G:(DE-HGF)POF4-5252 |c POF4-525 |f POF IV |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Tscherpel, Caroline |0 P:(DE-Juel1)171739 |b 1 |
| 700 | 1 | _ | |a Freytag, Jana |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Ritter, Stella |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Rehme, Anne K |0 P:(DE-Juel1)165784 |b 4 |
| 700 | 1 | _ | |a Volz, Lukas J |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Eickhoff, Simon B |0 P:(DE-Juel1)131678 |b 6 |
| 700 | 1 | _ | |a Fink, Gereon R |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/cercor/bhaa270 |g p. bhaa270 |0 PERI:(DE-600)1483485-6 |n 2 |p 993–1007 |t Cerebral cortex |v 31 |y 2021 |x 1460-2199 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/885429/files/bhaa270.pdf |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/885429/files/Manuscript%20Hensel-Grefkes.pdf |y Published on 2020-09-30. Available in OpenAccess from 2021-09-30. |z StatID:(DE-HGF)0510 |
| 909 | C | O | |o oai:juser.fz-juelich.de:885429 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)171739 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |6 P:(DE-Juel1)131678 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |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 |
| 913 | 0 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-571 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-500 |4 G:(DE-HGF)POF |v Connectivity and Activity |x 0 |
| 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 2021 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2019-12-21 |
| 915 | _ | _ | |a Embargoed OpenAccess |0 StatID:(DE-HGF)0530 |2 StatID |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CEREB CORTEX : 2018 |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2019-12-21 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |d 2019-12-21 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |d 2019-12-21 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b CEREB CORTEX : 2018 |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2019-12-21 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2019-12-21 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2019-12-21 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2019-12-21 |
| 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 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|