title: A T1 and DTI fused 3D corpus callosum analysis in MCI subjects with high and low cardiovascular risk profile.
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 sensitivein-vivoimaging 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.
authors.affiliation: CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, USA; Department of Biomedical Engineering, University of Southern California, USA.
authors.forename: Yi
authors.initials: Y
authors.lastname: Lao
authors.affiliation: CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, USA.
authors.forename: Binh
authors.initials: B
authors.lastname: Nguyen
authors.affiliation: CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, USA.
authors.forename: Sinchai
authors.initials: S
authors.lastname: Tsao
authors.affiliation: CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, USA; Department of Biomedical Engineering, University of Southern California, USA.
authors.forename: Niharika
authors.initials: N
authors.lastname: Gajawelli
authors.affiliation: Department of Biomedical Engineering, University of Southern California, USA; Department of Radiology, Keck School of Medicine, University of Southern California, USA.
authors.forename: Meng
authors.initials: M
authors.lastname: Law
authors.affiliation: Department of Biomedical Engineering, University of Southern California, USA; Department of Radiology, Keck School of Medicine, University of Southern California, USA.
authors.forename: Helena
authors.initials: H
authors.lastname: Chui
authors.affiliation: Department of Radiology, University of California, San Francisco, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Weiner
authors.affiliation: School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, USA.
authors.forename: Yalin
authors.initials: Y
authors.lastname: Wang
authors.affiliation: CIBORG Laboratory, Department of Radiology, Children's Hospital Los Angeles, USA; Department of Biomedical Engineering, University of Southern California, USA.
authors.forename: Natasha
authors.initials: N
authors.lastname: Leporé
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001931:Brain Mapping; D002318:Cardiovascular Diseases / Q000150:complications*; D060825:Cognitive Dysfunction / Q000000981:diagnostic imaging* / Q000209:etiology*; D003337:Corpus Callosum / Q000000981:diagnostic imaging*; D018450:Disease Progression; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D012307:Risk Factors; D013223:Statistics as Topic
keywords: Alzheimer's disease; Cardiovascular disease; Cognitive disorders; Corpus callosum; DTI; Dementia; Mild cognitive impairment; T1