Tracking Alzheimer's disease.

Tracking Alzheimer's disease. Research Abstract Details 

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Tracking Alzheimer's disease. Abstract Text:

Paul M Thompson,Kiralee M Hayashi,Rebecca A Dutton,Ming-Chang Chiang,Alex D Leow,Elizabeth R Sowell,Greig De Zubicaray,James T Becker,Oscar L Lopez,Howard J Aizenstein,Arthur W Toga,

Population-based brain mapping provides great insight into the trajectory of aging and dementia, as well as brain changes that normally occur over the human life span. We describe three novel brain mapping techniques, cortical thickness mapping, tensor-based morphometry (TBM), and hippocampal surface modeling, which offer enormous power for measuring disease progression in drug trials, and shed light on the neuroscience of brain degeneration in Alzheimer's disease (AD) and mild cognitive impairment (MCI). We report the first time-lapse maps of cortical atrophy spreading dynamically in the living brain, based on averaging data from populations of subjects with Alzheimer's disease and normal subjects imaged longitudinally with MRI. These dynamic sequences show a rapidly advancing wave of cortical atrophy sweeping from limbic and temporal cortices into higher-order association and ultimately primary sensorimotor areas, in a pattern that correlates with cognitive decline. A complementary technique, TBM, reveals the 3D profile of atrophic rates, at each point in the brain. A third technique, hippocampal surface modeling, plots the profile of shape alterations across the hippocampal surface. The three techniques provide moderate to highly automated analyses of images, have been validated on hundreds of scans, and are sensitive to clinically relevant changes in individual patients and groups undergoing different drug treatments. We compare time-lapse maps of AD, MCI, and other dementias, correlate these changes with cognition, and relate them to similar time-lapse maps of childhood development, schizophrenia, and HIV-associated brain degeneration. Strengths and weaknesses of these different imaging measures for basic neuroscience and drug trials are discussed.

Tracking Alzheimer's disease. Publishing Authors By Initials

PM Thompson,KM Hayashi,RA Dutton,MC Chiang,AD Leow,ER Sowell,G De Zubicaray,JT Becker,OL Lopez,HJ Aizenstein,AW Toga,

For similar tomography, emission-computed: positron-emission tomography research abstracts see: tomography, emission-computed: positron-emission tomography research

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Tracking Alzheimer's disease. Journal Published:

PUBLICATION TYPE: Review

Journal: Annals of the New York Academy of Sciences

VOLUME: 1097

Page Numbers: 183-214

Journal Abbreviation:

ISSN: 0077-8923

DAY: 3

MONTH: Feb

YEAR: 2007

Tracking Alzheimer's disease. Information

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LANGUAGE: eng

NlmUniqueID: 7506858

Tracking Alzheimer's disease. Keywords Mesh Terms:

KEYWORDS: Positron-Emission Tomography

MESH TERMS: therapeutic use

Chemical & Substance for Abstract: Tracking Alzheimer's disease. Information

Substance Name: Nootropic Agents

Registry Number: 0

Grant and Affiliation Information for Tracking Alzheimer's disease.

AFFILIATION: Department of Neurology, Laboratory of Neuro Imaging, UCLA School of Medicine, 635 Charles E. Young Drive South, Suite 225E, Los Angeles, CA 90095-7332, USA. thompson@loni.ucla.edu

Country: United States

AGENCY: United States NCRR

GRANT: RR13642

ACRONYM: RR

MEDLINETA: Ann N Y Acad Sci

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