Universität zu Köln

Rehme, Anne K., Volz, Lukas J. ORCID: 0000-0002-0161-654X, Feis, Delia-Lisa, Eickhoff, Simon B. ORCID: 0000-0001-6363-2759, Fink, Gereon R. ORCID: 0000-0002-8230-1856 and Grefkes, Christian ORCID: 0000-0002-1656-720X (2015). Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging. Hum. Brain Mapp., 36 (11). S. 4553 - 4566. HOBOKEN: WILEY. ISSN 1097-0193

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Abstract

Several neurobiological factors have been found to correlate with functional recovery after brain lesions. However, predicting the individual potential of recovery remains difficult. Here we used multivariate support vector machine (SVM) classification to explore the prognostic value of functional magnetic resonance imaging (fMRI) to predict individual motor outcome at 4-6 months post-stroke. To this end, 21 first-ever stroke patients with hand motor deficits participated in an fMRI hand motor task in the first few days post-stroke. Motor impairment was quantified assessing grip force and the Action Research Arm Test. Linear SVM classifiers were trained to predict good versus poor motor outcome of unseen new patients. We found that fMRI activity acquired in the first week post-stroke correctly predicted the outcome for 86% of all patients. In contrast, the concurrent assessment of motor function provided 76% accuracy with low sensitivity (<60%). Furthermore, the outcome of patients with initially moderate impairment and high outcome variability could not be predicted based on motor tests. In contrast, fMRI provided 87.5% prediction accuracy in these patients. Classifications were driven by activity in ipsilesional motor areas and contralesional cerebellum. The accuracy of subacute fMRI data (two weeks post-stroke), age, time post-stroke, lesion volume, and location were at 50%-chance-level. In conclusion, multivariate decoding of fMRI data with SVM early after stroke enables a robust prediction of motor recovery. The potential for recovery is influenced by the initial dysfunction of the active motor system, particularly in those patients whose outcome cannot be predicted by behavioral tests. Hum Brain Mapp 36:4553-4565, 2015. (c) 2015 Wiley Periodicals, Inc.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Rehme, Anne K. UNSPECIFIED UNSPECIFIED UNSPECIFIED Volz, Lukas J. UNSPECIFIED orcid.org/0000-0002-0161-654X UNSPECIFIED Feis, Delia-Lisa UNSPECIFIED UNSPECIFIED UNSPECIFIED Eickhoff, Simon B. UNSPECIFIED orcid.org/0000-0001-6363-2759 UNSPECIFIED Fink, Gereon R. UNSPECIFIED orcid.org/0000-0002-8230-1856 UNSPECIFIED Grefkes, Christian UNSPECIFIED orcid.org/0000-0002-1656-720X UNSPECIFIED
URN:	urn:nbn:de:hbz:38-388760
DOI:	10.1002/hbm.22936
Journal or Publication Title:	Hum. Brain Mapp.
Volume:	36
Number:	11
Page Range:	S. 4553 - 4566
Date:	2015
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1097-0193
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SUBCORTICAL STROKE PATIENTS; AMERICAN-HEART-ASSOCIATION; LONGITUDINAL FMRI; HUMAN BRAIN; RECOVERY; ACTIVATION; REHABILITATION; METAANALYSIS; CEREBELLAR; INTEGRITY Multiple languages Neurosciences; Neuroimaging; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/38876