Revolution of Resting-State Functional Neuroimaging Genetics in Alzheimer's Disease

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Publisher: Elsevier Science Publishers
Document Type: Report
Length: 232 words

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Abstract :

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.tins.2017.06.002 Byline: Patrizia A. Chiesa (1)(2), Enrica Cavedo (1)(2)(3), Simone Lista (1)(2), Paul M. Thompson (4), Harald Hampel (1)(2) Abstract: The quest to comprehend genetic, biological, and symptomatic heterogeneity underlying Alzheimer's disease (AD) requires a deep understanding of mechanisms affecting complex brain systems. Neuroimaging genetics is an emerging field that provides a powerful way to analyze and characterize intermediate biological phenotypes of AD. Here, we describe recent studies showing the differential effect of genetic risk factors for AD on brain functional connectivity in cognitively normal, preclinical, prodromal, and AD dementia individuals. Functional neuroimaging genetics holds particular promise for the characterization of preclinical populations; target populations for disease prevention and modification trials. To this end, we emphasize the need for a paradigm shift towards integrative disease modeling and neuroimaging biomarker-guided precision medicine for AD and other neurodegenerative diseases. Author Affiliation: (1) AXA Research Fund & UPMC Chair, Paris, France (2) Sorbonne Universities, Pierre and Marie Curie University, Paris 06, Institute of Memory and Alzheimer's Disease (IM2A) & Brain and Spine Institute (ICM) UMR S 1127, Department of Neurology, PitiAaAaAeA@-SalpAaAaAeA tri Hospital, Paris, France (3) Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy (4) Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90232, USA

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Gale Document Number: GALE|A521890289