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@ARTICLE{Tscherpel:875258,
author = {Tscherpel, Caroline and Dern, Sebastian and Hensel, Lukas
and Ziemann, Ulf and Fink, Gereon R and Grefkes, Christian},
title = {{B}rain responsivity provides an individual readout for
motor recovery after stroke},
journal = {Brain},
volume = {143},
number = {6},
issn = {1460-2156},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2020-01902},
pages = {1873–1888},
year = {2020},
abstract = {Promoting the recovery of motor function and optimizing
rehabilitation strategies for stroke patients is closely
associated with the challenge of individual prediction. To
date, stroke research has identified critical
pathophysiological neural underpinnings at the cellular
level as well as with regard to network reorganization.
However, in order to generate reliable readouts at the level
of individual patients and thereby realize translation from
bench to bedside, we are still in a need for innovative
methods. The combined use of transcranial magnetic
stimulation (TMS) and EEG has proven powerful to record both
local and network responses at an individual’s level. To
elucidate the potential of TMS-EEG to assess motor recovery
after stroke, we used neuronavigated TMS-EEG over
ipsilesional primary motor cortex (M1) in 28 stroke patients
in the first days after stroke. Twenty-five of these
patients were reassessed after >3 months post-stroke. In the
early post-stroke phase (6.7 ± 2.5 days), the
TMS-evoked EEG responses featured two markedly different
response morphologies upon TMS to ipsilesional M1. In the
first group of patients, TMS elicited a differentiated and
sustained EEG response with a series of deflections
sequentially involving both hemispheres. This response type
resembled the patterns of bilateral activation as observed
in the healthy comparison group. By contrast, in a subgroup
of severely affected patients, TMS evoked a slow and
simplified local response. Quantifying the TMS-EEG responses
in the time and time-frequency domain revealed that stroke
patients exhibited slower and simple responses with higher
amplitudes compared to healthy controls. Importantly, these
patterns of activity changes after stroke were not only
linked to the initial motor deficit, but also to motor
recovery after >3 months post-stroke. Thus, the data
revealed a substantial impairment of local effects as well
as causal interactions within the motor network early after
stroke. Additionally, for severely affected patients with
absent motor evoked potentials and identical clinical
phenotype, TMS-EEG provided differential response patterns
indicative of the individual potential for recovery of
function. Thereby, TMS-EEG extends the methodological
repertoire in stroke research by allowing the assessment of
individual response profiles.},
cin = {INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32375172},
UT = {WOS:000541788700030},
doi = {10.1093/brain/awaa127},
url = {https://juser.fz-juelich.de/record/875258},
}