Grefkes, Christian ORCID: 0000-0002-1656-720X and Fink, Gereon R. ORCID: 0000-0002-8230-1856 (2014). Connectivity-based approaches in stroke and recovery of function. Lancet Neurol., 13 (2). S. 206 - 217. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1474-4465

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Abstract

After focal damage, cerebral networks reorganise their structural and functional anatomy to compensate for both the lesion itself and remote effects. Novel developments in the analysis of functional neuroimaging data enable us to assess in vivo the specific contributions of individual brain areas to recovery of function and the effect of treatment on cortical reorganisation. Connectivity analyses can be used to investigate the effect of stroke on cerebral networks, and help us to understand why some patients make a better recovery than others. This systems-level view also provides insights into how neuromodulatory interventions might target pathological network configurations associated with incomplete recovery. In the future, such analyses of connectivity could help to optimise treatment regimens based on the individual network pathology underlying a particular neurological deficit, thereby opening the way for stratification of patients based on the possible response to an intervention.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Grefkes, ChristianUNSPECIFIEDorcid.org/0000-0002-1656-720XUNSPECIFIED
Fink, Gereon R.UNSPECIFIEDorcid.org/0000-0002-8230-1856UNSPECIFIED
URN: urn:nbn:de:hbz:38-447703
DOI: 10.1016/S1474-4422(13)70264-3
Journal or Publication Title: Lancet Neurol.
Volume: 13
Number: 2
Page Range: S. 206 - 217
Date: 2014
Publisher: ELSEVIER SCIENCE INC
Place of Publication: NEW YORK
ISSN: 1474-4465
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
PRIMARY MOTOR CORTEX; TRANSCRANIAL MAGNETIC STIMULATION; POSITRON-EMISSION-TOMOGRAPHY; FOCAL CEREBRAL-ISCHEMIA; RESTING-STATE; SUBCORTICAL STROKE; NETWORK CONNECTIVITY; LONGITUDINAL FMRI; PYRAMIDAL TRACT; HUMAN BRAINMultiple languages
Clinical NeurologyMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/44770

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