A T1 and DTI fused 3D corpus callosum analysis in MCI subjects with high and low cardiovascular risk profile

Yi Lao, Binh Nguyen, Sinchai Tsao, Niharika Gajawelli, Meng Law, Helena Chui, Michael Weiner, Yalin Wang, Natasha Leporé

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Understanding the extent to which vascular disease and its risk factors are associated with prodromal dementia, notably Alzheimer's disease (AD), may enhance predictive accuracy as well as guide early interventions. One promising avenue to determine this relationship consists of looking for reliable and sensitive in-vivo imaging methods capable of characterizing the subtle brain alterations before the clinical manifestations. However, little is known from the imaging perspective about how risk factors such as vascular disease influence AD progression. Here, for the first time, we apply an innovative T1 and DTI fusion analysis of 3D corpus callosum (CC) on mild cognitive impairment (MCI) populations with different levels of vascular profile, aiming to de-couple the vascular factor in the prodromal AD stage. Our new fusion method successfully increases the detection power for differentiating MCI subjects with high from low vascular risk profiles, as well as from healthy controls. MCI subjects with high and low vascular risk profiles showed differed alteration patterns in the anterior CC, which may help to elucidate the inter-wired relationship between MCI and vascular risk factors.

Original languageEnglish (US)
Pages (from-to)298-307
Number of pages10
JournalNeuroImage: Clinical
Volume14
DOIs
StatePublished - 2017

Keywords

  • Alzheimer's disease
  • Cardiovascular disease
  • Cognitive disorders
  • Corpus callosum
  • Dementia
  • DTI
  • Mild cognitive impairment
  • T1

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology
  • Cognitive Neuroscience

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