Modulating cortical connectivity in stroke patients by rTMS assessed with fMRI and dynamic causal modeling

被引:258
|
作者
Grefkes, Christian [1 ,2 ]
Nowak, Dennis A. [2 ,3 ]
Wang, Ling E. [4 ]
Dafotakis, Manuel [2 ]
Eickhoff, Simon B. [4 ,5 ]
Fink, Gereon R. [2 ,4 ]
机构
[1] Max Planck Inst Neurol Res, D-50931 Cologne, Germany
[2] Univ Cologne, Dept Neurol, D-5000 Cologne 41, Germany
[3] Neurochirurg & Neurol Fachklin, Klin Kipfenberg, Kipfenberg, Germany
[4] Julich Res Ctr, Cognit Neurol Sect, Inst Neurosci & Med INM 3, Julich, Germany
[5] Univ Hosp RWTH Aachen, Dept Psychiat & Psychotherapy, Aachen, Germany
关键词
FMRI; DCM; Rehabilitation; Transcranial magnetic stimulation; TRANSCRANIAL MAGNETIC STIMULATION; PRIMARY MOTOR CORTEX; LOW-FREQUENCY RTMS; PREMOTOR CORTEX; INTERHEMISPHERIC INTERACTIONS; BRAIN-STIMULATION; DORSAL PREMOTOR; HAND MOVEMENTS; RECOVERY; AREAS;
D O I
10.1016/j.neuroimage.2009.12.029
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Data derived from transcranial magnetic stimulation (TMS) studies suggest that transcallosal inhibition mechanisms between the primary motor cortex of both hemispheres may contribute to the reduced motor performance of stroke patients. We here investigated the potential of modulating pathological interactions between cortical motor areas by means of repetitive TMS using functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM). Eleven subacute stroke patients were scanned 1-3 months after symptom onset while performing whole hand fist closure movements. After a baseline scan, patients were stimulated with inhibitory 1-Hz rTMS applied over two different locations: (i) vertex (control stimulation) and (ii) primary motor cortex (M1) of the unaffected (contralesional) hemisphere. Changes in the endogenous and task-dependent effective connectivity were assessed by DCM of a bilateral network comprising M1, lateral premotor cortex, and the supplementary motor area (SMA). The results showed that rTMS applied over contralesional M1 significantly improved the motor performance of the paretic hand. The connectivity analysis revealed that the behavioral improvements were significantly correlated with a reduction of the negative influences originating from contralesional M1 during paretic hand movements. Concurrently, endogenous coupling between ipsilesional SMA and M1 was significantly enhanced only after rTMS applied over contralesional M1. Therefore, rTMS applied over contralesional M1 may be used to transiently remodel the disturbed functional network architecture of the motor system. The connectivity analyses suggest that both a reduction of pathological transcallosal influences (originating from contralesional M1) and a restitution of ipsilesional effective connectivity between SMA and M1 underlie improved motor performance. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:233 / 242
页数:10
相关论文
共 50 条
  • [1] Identifying abnormal connectivity in patients using dynamic causal modeling of fMRI responses
    Seghier, Mohamed L.
    Zeidman, Peter
    Neufeld, Nicholas H.
    Leff, Alex P.
    Price, Cathy J.
    FRONTIERS IN SYSTEMS NEUROSCIENCE, 2010, 4
  • [2] Visual Feedback Discordance Mediates Changes in Brain Activity and Effective Connectivity: A Stroke fMRI Dynamic Causal Modeling Study
    Saleh, Soha
    Adamovich, Sergei V.
    Tunik, Eugene
    2013 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIOMEDICAL ENGINEERING (ABME 2013), 2013, : 85 - 88
  • [3] DYNAMIC CAUSAL MODELING OF FMRI DATA
    Nagori, M. B.
    Gill, P. C.
    Joshi, M. S.
    PROCEEDINGS OF THE 2011 3RD INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGY AND ENGINEERING (ICSTE 2011), 2011, : 527 - 536
  • [4] Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI
    Koush, Yury
    Rosa, Maria Joao
    Robineau, Fabien
    Heinen, Klaartje
    Rieger, Sebastian W.
    Weiskopf, Nikolaus
    Vuilleumier, Patrik
    Van De Ville, Dimitri
    Scharnowski, Frank
    NEUROIMAGE, 2013, 81 : 422 - 430
  • [5] Fronto-Cingulate Effective Connectivity in Major Depression: A Study with fMRI and Dynamic Causal Modeling
    Schloesser, Ralf G. M.
    BIOLOGICAL PSYCHIATRY, 2010, 67 (09) : 7S - 8S
  • [6] Fronto-cingulate effective connectivity in major depression: A study with fMRI and dynamic causal modeling
    Schloesser, R. G. M.
    Wagner, G.
    Koch, K.
    Dahnke, R.
    Reichenbach, J. R.
    Sauer, H.
    NEUROIMAGE, 2008, 43 (03) : 645 - 655
  • [7] Dynamic Causal Modeling of Subcortical Connectivity of Language
    David, Olivier
    Maess, Burkhard
    Eckstein, Korinna
    Friederici, Angela D.
    JOURNAL OF NEUROSCIENCE, 2011, 31 (07): : 2712 - 2717
  • [8] Fronto-Cingulate Effective Connectivity in Obsessive Compulsive Disorder: A Study with fMRI and Dynamic Causal Modeling
    Schloesser, Ralf G. M.
    Wagner, Gerd
    Schachtzabel, Claudia
    Peickert, Gregor
    Koch, Kathrin
    Reichenbach, Juergen R.
    Sauer, Heinrich
    BIOLOGICAL PSYCHIATRY, 2011, 69 (09) : 77S - 78S
  • [9] Fronto-Cingulate Effective Connectivity in Obsessive Compulsive Disorder: A Study With fMRI and Dynamic Causal Modeling
    Schloesser, Ralf G. M.
    Wagner, Gerd
    Schachtzabel, Claudia
    Peikert, Gregor
    Koch, Kathrin
    Reichenbach, Juergen R.
    Sauer, Heinrich
    HUMAN BRAIN MAPPING, 2010, 31 (12) : 1834 - 1850
  • [10] On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data
    Havlicek, Martin
    Roebroeck, Alard
    Friston, Karl J.
    Gardumi, Anna
    Ivanov, Dimo
    Uludag, Kamil
    NEUROIMAGE, 2017, 155 : 217 - 233