Hauptseite > Publikationsdatenbank > Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke > print |
001 | 14031 | ||
005 | 20210129210603.0 | ||
024 | 7 | _ | |2 pmid |a pmid:21238594 |
024 | 7 | _ | |2 DOI |a 10.1016/j.neuroimage.2011.01.014 |
024 | 7 | _ | |2 WOS |a WOS:000288313800028 |
037 | _ | _ | |a PreJuSER-14031 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 610 |
084 | _ | _ | |2 WoS |a Neurosciences |
084 | _ | _ | |2 WoS |a Neuroimaging |
084 | _ | _ | |2 WoS |a Radiology, Nuclear Medicine & Medical Imaging |
100 | 1 | _ | |0 P:(DE-HGF)0 |a Rehme, A.K. |b 0 |
245 | _ | _ | |a Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke |
260 | _ | _ | |a Orlando, Fla. |b Academic Press |c 2011 |
300 | _ | _ | |a 1147 - 1158 |
336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |
336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
336 | 7 | _ | |2 BibTeX |a ARTICLE |
336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
336 | 7 | _ | |2 DRIVER |a article |
440 | _ | 0 | |0 4545 |a NeuroImage |v 55 |x 1053-8119 |y 3 |
500 | _ | _ | |a We thank our volunteers and are grateful to Dr. Marc Tittgemeyer, Dr. Michael von Mengershausen, and the MR staff for support. A.K.R. and C.G. were supported by Koeln Fortune (34/2010), Faculty of Medicine, University of Cologne (Germany). S.B.E. was funded by Human Brain Project (R01-MH074457-01A1) and Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology (Human Brain Model). |
520 | _ | _ | |a Functional neuroimaging studies frequently demonstrated that stroke patients show bilateral activity in motor and premotor areas during movements of the paretic hand in contrast to a more lateralized activation observed in healthy subjects. Moreover, a few studies modeling functional or effective connectivity reported performance-related changes in the motor network after stroke. Here, we investigated the temporal evolution of intra- and interhemispheric (dys-) connectivity during motor recovery from the acute to the early chronic phase post-stroke. Twelve patients performed hand movements in an fMRI task in the acute (≤72 hours) and subacute stage (2 weeks) post-stroke. A subgroup of 10 patients participated in a third assessment in the early chronic stage (3-6 months). Twelve healthy subjects served as reference for brain connectivity. Changes in effective connectivity within a bilateral network comprising M1, premotor cortex (PMC), and supplementary motor area (SMA) were estimated by dynamic causal modeling. Motor performance was assessed by the Action Research Arm Test and maximum grip force. Results showed reduced positive coupling of ipsilesional SMA and PMC with ipsilesional M1 in the acute stage. Coupling parameters among these areas increased with recovery and predicted a better outcome. Likewise, negative influences from ipsilesional areas to contralesional M1 were attenuated in the acute stage. In the subacute stage, contralesional M1 exerted a positive influence on ipsilesional M1. Negative influences from ipsilesional areas on contralesional M1 subsequently normalized, but patients with poorer outcome in the chronic stage now showed enhanced negative coupling from contralesional upon ipsilesional M1. These findings show that the reinstatement of effective connectivity in the ipsilesional hemisphere is an important feature of motor recovery after stroke. The shift of an early, supportive role of contralesional M1 into enhanced inhibitory coupling might indicate maladaptive processes which could be a target of non-invasive brain stimulation techniques. |
536 | _ | _ | |0 G:(DE-Juel1)FUEK409 |2 G:(DE-HGF) |x 0 |c FUEK409 |a Funktion und Dysfunktion des Nervensystems (FUEK409) |
536 | _ | _ | |0 G:(DE-HGF)POF2-89572 |a 89572 - (Dys-)function and Plasticity (POF2-89572) |c POF2-89572 |f POF II T |x 1 |
588 | _ | _ | |a Dataset connected to Web of Science, Pubmed |
650 | _ | 2 | |2 MeSH |a Aged |
650 | _ | 2 | |2 MeSH |a Aged, 80 and over |
650 | _ | 2 | |2 MeSH |a Bayes Theorem |
650 | _ | 2 | |2 MeSH |a Cerebral Cortex: pathology |
650 | _ | 2 | |2 MeSH |a Chronic Disease |
650 | _ | 2 | |2 MeSH |a Female |
650 | _ | 2 | |2 MeSH |a Forecasting |
650 | _ | 2 | |2 MeSH |a Functional Laterality: physiology |
650 | _ | 2 | |2 MeSH |a Humans |
650 | _ | 2 | |2 MeSH |a Image Processing, Computer-Assisted |
650 | _ | 2 | |2 MeSH |a Magnetic Resonance Imaging |
650 | _ | 2 | |2 MeSH |a Male |
650 | _ | 2 | |2 MeSH |a Middle Aged |
650 | _ | 2 | |2 MeSH |a Models, Neurological |
650 | _ | 2 | |2 MeSH |a Motor Cortex: pathology |
650 | _ | 2 | |2 MeSH |a Neural Pathways: pathology |
650 | _ | 2 | |2 MeSH |a Prognosis |
650 | _ | 2 | |2 MeSH |a Psychomotor Performance: physiology |
650 | _ | 2 | |2 MeSH |a Recovery of Function |
650 | _ | 2 | |2 MeSH |a Stroke: etiology |
650 | _ | 2 | |2 MeSH |a Stroke: pathology |
650 | _ | 2 | |2 MeSH |a Transcranial Magnetic Stimulation |
650 | _ | 7 | |2 WoSType |a J |
653 | 2 | 0 | |2 Author |a Motor cortex |
653 | 2 | 0 | |2 Author |a Longitudinal |
653 | 2 | 0 | |2 Author |a Effective connectivity |
653 | 2 | 0 | |2 Author |a Impairment |
653 | 2 | 0 | |2 Author |a Recovery |
700 | 1 | _ | |0 P:(DE-Juel1)131678 |a Eickhoff, S.B. |b 1 |u FZJ |
700 | 1 | _ | |0 P:(DE-Juel1)VDB75806 |a Wang, L.E. |b 2 |u FZJ |
700 | 1 | _ | |0 P:(DE-Juel1)131720 |a Fink, G.R. |b 3 |u FZJ |
700 | 1 | _ | |0 P:(DE-Juel1)VDB500 |a Grefkes, C. |b 4 |u FZJ |
773 | _ | _ | |0 PERI:(DE-600)1471418-8 |a 10.1016/j.neuroimage.2011.01.014 |g Vol. 55, p. 1147 - 1158 |p 1147 - 1158 |q 55<1147 - 1158 |t NeuroImage |v 55 |x 1053-8119 |y 2011 |
856 | 7 | _ | |u http://dx.doi.org/10.1016/j.neuroimage.2011.01.014 |
909 | C | O | |o oai:juser.fz-juelich.de:14031 |p VDB |
913 | 2 | _ | |0 G:(DE-HGF)POF3-572 |1 G:(DE-HGF)POF3-570 |2 G:(DE-HGF)POF3-500 |a DE-HGF |b Key Technologies |l Decoding the Human Brain |v (Dys-)function and Plasticity |x 0 |
913 | 1 | _ | |0 G:(DE-HGF)POF2-89572 |a DE-HGF |v (Dys-)function and Plasticity |x 1 |4 G:(DE-HGF)POF |1 G:(DE-HGF)POF3-890 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-800 |b Programmungebundene Forschung |l ohne Programm |
914 | 1 | _ | |y 2011 |
915 | _ | _ | |0 StatID:(DE-HGF)0010 |a JCR/ISI refereed |
920 | 1 | _ | |0 I:(DE-Juel1)INM-2-20090406 |g INM |k INM-2 |l Molekulare Organisation des Gehirns |x 0 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-3-20090406 |g INM |k INM-3 |l Kognitive Neurowissenschaften |x 1 |
970 | _ | _ | |a VDB:(DE-Juel1)125848 |
980 | _ | _ | |a VDB |
980 | _ | _ | |a ConvertedRecord |
980 | _ | _ | |a journal |
980 | _ | _ | |a I:(DE-Juel1)INM-2-20090406 |
980 | _ | _ | |a I:(DE-Juel1)INM-3-20090406 |
980 | _ | _ | |a UNRESTRICTED |
981 | _ | _ | |a I:(DE-Juel1)INM-3-20090406 |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|