title: Diffusion tensor imaging in preclinical and presymptomatic carriers of familial Alzheimer's disease mutations.
abstract: Measures are needed that identify persons that will develop Alzheimer's disease in order to target them for preventative interventions. There is evidence from animal, pathological and imaging studies that disruption of white matter occurs in the course of Alzheimer's disease and may be an early event. Prior studies have suggested that late-myelinating regions or white matter connecting limbic structures are particularly susceptible to degradation. Persons destined to develop the disease by virtue of fully penetrant genetic alterations (familial Alzheimer's disease or FAD) provide a model in which early and even presymptomatic changes of the disease may be identified. In this study we performed diffusion tensor imaging (DTI) on 2 demented and 21 subjects at-risk for inheriting an FAD mutation. We compared global and localized fractional anisotropy (FA) measures in white matter between FAD mutation carriers and non-carriers in the preclinical (clinical dementia rating <1, n = 20) and presymptomatic (clinical dementia rating = 0, n = 15) stages of the disease. There were no significant differences between mutation carriers and non-carriers with regard to absolute age, age relative to the typical age of disease diagnosis in their family, gender or Mini-Mental Status Examination Score. Among preclinical FAD mutation carriers (n = 12), mean whole brain white-matter FA (P = 0.045), FA of the columns of the fornix (P = 0.012), area of the perforant pathways bilaterally (right side: P = 0.028, left side: P = 0.027) and left orbitofrontal lobe (P = 0.024) were decreased relative to that of non-carriers (n = 8). We also found that FA in the columns of the fornix (P = 0.008) and left orbitofrontal lobe white matter (P = 0.045) were decreased in the eight presymptomatic mutation carriers compared to seven non-carriers. Logistic regression demonstrated that FA of the columns of the fornix was a better predictor of mutation status than was cross-sectional area of the fornix, global mean white-matter FA and left frontal lobe white-matter FA. In a linear regression analysis, white-matter volume (P = 0.002), hippocampal volume (P = 0.023) and mutation status (P = 0.032) significantly predicted fornix FA. We conclude that FA is decreased in the white matter in preclinical and even presymptomatic FAD mutation carriers, particularly in the late-myelinating tracts connecting limbic structures. Decreased FA in of the columns of the fornix is particularly robust in early FAD and may provide a biomarker for early disease in sporadic Alzheimer's disease.
authors.affiliation: UCLA Department of Neurology, Alzheimer's Disease Research Center, 10911 Weyburn Ave, Suite 200, Los Angeles, CA 90095-7226, USA. jringman@mednet.ucla.edu
authors.forename: John M
authors.initials: JM
authors.lastname: Ringman
authors.forename: Joseph
authors.initials: J
authors.lastname: O'Neill
authors.forename: Daniel
authors.initials: D
authors.lastname: Geschwind
authors.forename: Luis
authors.initials: L
authors.lastname: Medina
authors.forename: Liana G
authors.initials: LG
authors.lastname: Apostolova
authors.forename: Yaneth
authors.initials: Y
authors.lastname: Rodriguez
authors.forename: Barbara
authors.initials: B
authors.lastname: Schaffer
authors.forename: Arousiak
authors.initials: A
authors.lastname: Varpetian
authors.forename: Benjamin
authors.initials: B
authors.lastname: Tseng
authors.forename: Freddy
authors.initials: F
authors.lastname: Ortiz
authors.forename: Jaime
authors.initials: J
authors.lastname: Fitten
authors.forename: Jeffrey L
authors.initials: JL
authors.lastname: Cummings
authors.forename: George
authors.initials: G
authors.lastname: Bartzokis
mesh_terms: D000328:Adult; D000367:Age Factors; D000544:Alzheimer Disease / Q000235:genetics / Q000473:pathology* / Q000523:psychology; D016880:Anisotropy; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods; D005260:Female; D020712:Fornix, Brain / Q000473:pathology; D006579:Heterozygote; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008297:Male; D009154:Mutation; D009483:Neuropsychological Tests; D011569:Psychiatric Status Rating Scales