Predicted disconnectome associated with progressive periventricular white matter ischemia

Zhengjun Li, Sudipto Dolui, Mohamad Habes, Danielle S. Bassett, David Wolk, John A. Detre

Research output: Contribution to journalArticlepeer-review

Abstract

We used a virtual lesion DTI fiber tracking approach with healthy subject DTI data and simulated periventricular white matter (PVWM) lesion masks to predict the sequence of connectivity changes associated with progressive PVWM ischemia. We found that the optic radiations, inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, corpus callosum, temporopontine tract and fornix were affected in early simulated ischemic injury, and that the connectivity of subcortical, cerebellar, and visual regions were significantly disrupted with increasing simulated lesion severity. The results of this study provide insights into the spatial-temporal changes of the brain structural connectome under progressive PVWM ischemia. The virtual lesion approach provides a meaningful proxy to the spatial-temporal changes of the brain's structural connectome and can be used to further characterize the cognitive sequelae of progressive PVWM ischemia in both normal aging and dementia.

Original languageEnglish (US)
Article number100022
JournalCerebral Circulation - Cognition and Behavior
Volume2
DOIs
StatePublished - Jan 2021
Externally publishedYes

Keywords

  • Cerebral blood flow (CBF)
  • DTI
  • Functional connectivity
  • Periventricular white matter (PVWM)
  • Small vessel ischemic disease
  • Structural connectivity
  • fMRI

ASJC Scopus subject areas

  • Behavioral Neuroscience
  • Cognitive Neuroscience
  • Biological Psychiatry
  • Neurology
  • Clinical Neurology

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