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Bonkhoff, Anna K [Author]; Espinoza, Flor A [Author]; Calhoun, Vince D [Author]; Grefkes, Christian [Author]; Gazula, Harsh [Author]; Vergara, Victor M [Author]; Hensel, Lukas [Author]; Michely, Jochen [Author]; Paul, Theresa [Author]; Rehme, Anne K [Author]; Volz, Lukas J [Author]; Fink, Gereon R [Author]

Acute ischemic stroke alters the brain's preference for distinct dynamic connectivity states

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  • Media type: E-Article
  • Title: Acute ischemic stroke alters the brain's preference for distinct dynamic connectivity states
  • Contributor: Bonkhoff, Anna K [Author]; Espinoza, Flor A [Author]; Calhoun, Vince D [Author]; Grefkes, Christian [Author]; Gazula, Harsh [Author]; Vergara, Victor M [Author]; Hensel, Lukas [Author]; Michely, Jochen [Author]; Paul, Theresa [Author]; Rehme, Anne K [Author]; Volz, Lukas J [Author]; Fink, Gereon R [Author]
  • imprint: Oxford Univ. Press, 2020
  • Published in: Brain 143(5), 1525–1540 (2020). doi:10.1093/brain/awaa101
  • Language: English
  • DOI: https://doi.org/10.1093/brain/awaa101
  • ISSN: 0006-8950
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: Acute ischemic stroke disturbs healthy brain organization, prompting subsequent plasticity and reorganization to compensate for loss of specialized neural tissue and function. Static resting-state functional magnetic resonance imaging (fMRI) 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 utilized dynamic resting-state fMRI 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 fMRI data of 31 acute ischemic stroke patients and 17 age-matched healthy controls. Stroke patients presented with moderate to severe hand motor deficits. By estimating dynamic 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. Temporal connectivity patterns of stroke patients markedly 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 inter-hemispheric connectivity between cortical motor networks independent of individual deficit severity. ...
  • Access State: Open Access