Bonkhoff, Anna K., Espinoza, Flor A., Gazula, Harshvardhan, Vergara, Victor M., Hensel, Lukas, Michely, Jochen, Paul, Theresa, Rehme, Anne K., Volz, Lukas J., Fink, Gereon R. ORCID: 0000-0002-8230-1856, Calhoun, Vince D. and Grefkes, Christian (2020). Acute ischaemic stroke alters the brain's preference for distinct dynamic connectivity states. Brain, 143. S. 1525 - 1541. OXFORD: OXFORD UNIV PRESS. ISSN 1460-2156

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Abstract

Acute ischaemic stroke disturbs healthy brain organization, prompting subsequent plasticity and reorganization to compensate for the loss of specialized neural tissue and function. Static resting state functional MRI studies have already furthered our understanding of cerebral reorganization by estimating stroke-induced changes in network connectivity aggregated over the duration of several minutes. In this study, we used dynamic resting state functional MRI analyses to increase temporal resolution to seconds and explore transient configurations of motor network connectivity in acute stroke. To this end, we collected resting state functional MRI data of 31 patients with acute ischaemic stroke and 17 age-matched healthy control subjects. Stroke patients presented with moderate to severe hand motor deficits. By estimating dynamic functional connectivity within a sliding window framework, we identified three distinct connectivity configurations of motor-related networks. Motor networks were organized into three regional domains, i.e. a cortical, subcortical and cerebellar domain. The dynamic connectivity patterns of stroke patients diverged from those of healthy controls depending on the severity of the initial motor impairment. Moderately affected patients (n = 18) spent significantly more time in a weakly connected configuration that was characterized by low levels of connectivity, both locally as well as between distant regions. In contrast, severely affected patients (n = 13) showed a significant preference for transitions into a spatially segregated connectivity configuration. This configuration featured particularly high levels of local connectivity within the three regional domains as well as anti-correlated connectivity between distant networks across domains. A third connectivity configuration represented an intermediate connectivity pattern compared to the preceding two, and predominantly encompassed decreased interhemispheric connectivity between cortical motor networks independent of individual deficit severity. Alterations within this third configuration thus closely resembled previously reported ones originating from static resting state functional MRI studies post-stroke. In summary, acute ischaemic stroke not only prompted changes in connectivity between distinct networks, but it also caused characteristic changes in temporal properties of large-scale network interactions depending on the severity of the individual deficit. These findings offer new vistas on the dynamic neural mechanisms underlying acute neurological symptoms, cortical reorganization and treatment effects in stroke patients.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Bonkhoff, Anna K.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Espinoza, Flor A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Gazula, HarshvardhanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Vergara, Victor M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hensel, LukasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Michely, JochenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Paul, TheresaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rehme, Anne K.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Volz, Lukas J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fink, Gereon R.UNSPECIFIEDorcid.org/0000-0002-8230-1856UNSPECIFIED
Calhoun, Vince D.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Grefkes, ChristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-334819
DOI: 10.1093/brain/awaa101
Journal or Publication Title: Brain
Volume: 143
Page Range: S. 1525 - 1541
Date: 2020
Publisher: OXFORD UNIV PRESS
Place of Publication: OXFORD
ISSN: 1460-2156
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
FUNCTIONAL CONNECTIVITY; MOTOR RECOVERY; NETWORK; FMRI; REORGANIZATION; ICA; SEGREGATION; IMPAIRMENT; DISRUPTION; MODULARITYMultiple languages
Clinical Neurology; NeurosciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/33481

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