title: Fractional anisotropy changes in Alzheimer's disease depend on the underlying fiber tract architecture: a multiparametric DTI study using joint independent component analysis.
abstract: Diffusion tensor imaging (DTI) allows the simultaneous measurement of several diffusion indices that provide complementary information on the substrate of white matter alterations in neurodegenerative diseases. These indices include fractional anisotropy (FA) as measure of fiber tract integrity, and the mode of anisotropy (Mode) reflecting differences in the shape of the diffusion tensor. We used a multivariate approach based on joint independent component analysis of FA and Mode in a large sample of 138 subjects with Alzheimer's disease (AD) dementia, 37 subjects with cerebrospinal fluid biomarker positive mild cognitive impairment (MCI-AD), and 153 healthy elderly controls from the European DTI Study on Dementia to comprehensively study alterations of microstructural white matter integrity in AD dementia and predementia AD. We found a parallel decrease of FA and Mode in intracortically projecting fiber tracts, and a parallel increase of FA and Mode in the corticospinal tract in AD patients compared to controls. Subjects with MCI-AD showed a similar, but spatially more restricted pattern of diffusion changes. Our findings suggest an early axonal degeneration in intracortical projecting fiber tracts in dementia and predementia stages of AD. An increase of Mode, parallel to an increase of FA, in the corticospinal tract suggests a more linear shape of diffusion due to loss of crossing fibers along relatively preserved cortico-petal and cortico-fugal fiber tracts in AD. Supporting this interpretation, we found three populations of fiber tracts, namely cortico-petal and cortico-fugal, commissural, and intrahemispherically projecting fiber tracts, in the peak area of parallel FA and Mode increase.
authors.affiliation: Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany DZNE, German Center for Neurodegenerative Diseases, Rostock, Germany.
authors.forename: Stefan J
authors.initials: SJ
authors.lastname: Teipel
authors.affiliation: Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany.
authors.forename: Michel J
authors.initials: MJ
authors.lastname: Grothe
authors.affiliation: Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy.
authors.forename: Massimo
authors.initials: M
authors.lastname: Filippi
authors.affiliation: Department of Psychiatry, University Medical Center of Mainz, Mainz, Germany.
authors.forename: Andreas
authors.initials: A
authors.lastname: Fellgiebel
authors.affiliation: DZNE, German Center for Neurodegenerative Diseases, Rostock, Germany.
authors.forename: Martin
authors.initials: M
authors.lastname: Dyrba
authors.affiliation: Hopitaux Universitaires de Genève and Université de Genève, IRCCS Centro San Giovanni di Dio, FBF, Brescia, Italy.
authors.forename: Giovanni B
authors.initials: GB
authors.lastname: Frisoni
authors.affiliation: Institute for Clinical Radiology, Department of MRI, Ludwig Maximilian University Munich, Munich, Germany.
authors.forename: Thomas
authors.initials: T
authors.lastname: Meindl
authors.affiliation: Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Dublin, Ireland.
authors.forename: Arun L W
authors.initials: AL
authors.lastname: Bokde
authors.affiliation: Department of Psychiatry, University of Frankfurt, Frankfurt, Germany.
authors.forename: Harald
authors.initials: H
authors.lastname: Hampel
authors.affiliation: Department of Psychiatry and Psychotherapy, Freiburg Brain Imaging, University Clinic Freiburg, Freiburg, Germany.
authors.forename: Stefan
authors.initials: S
authors.lastname: Klöppel
authors.affiliation: Department of Radiology, University of Rostock, Rostock, Germany.
authors.forename: Karlheinz
authors.initials: K
authors.lastname: Hauenstein
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000175:diagnosis / Q000473:pathology*; D016880:Anisotropy; D001369:Axons / Q000473:pathology; D001921:Brain / Q000473:pathology*; D060825:Cognitive Dysfunction / Q000175:diagnosis / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods; D056324:Diffusion Tensor Imaging / Q000379:methods; D018450:Disease Progression; D042241:Early Diagnosis; D005060:Europe; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008297:Male; D009410:Nerve Degeneration / Q000473:pathology; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D011712:Pyramidal Tracts / Q000473:pathology; D066127:White Matter / Q000473:pathology*
keywords: Crossing fibers; diffusion spectrum imaging; diffusion tensor imaging; early diagnosis; fractional anisotropy; mode of anisotropy; predementia Alzheimer's disease