2019
DOI: 10.1002/ima.22390
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Longitudinal structural MRI analysis and classification in Alzheimer's disease and mild cognitive impairment

Abstract: Early diagnosis or detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) is crucial so as to intervene in advance and to better understand the neurodegenerative process. Gray matter volume (GMV) plays an important role in demonstrating unique anatomical characteristics of the brain regions and further differentiates AD, MCI and normal control (NC). In this study, 317 subjects (100 NC, 58 stable MCI (sMCI), 53 converted MCI (cMCI) and 106 AD) are selected from the Alzheimer's Disease Neuroim… Show more

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Cited by 6 publications
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“…Recently, a few researchers have analyzed longitudinal data to predict neurological disorders via machine learning [24]. Among the aforementioned databases, ABIDE II [23] provides longitudinal samples.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a few researchers have analyzed longitudinal data to predict neurological disorders via machine learning [24]. Among the aforementioned databases, ABIDE II [23] provides longitudinal samples.…”
Section: Introductionmentioning
confidence: 99%
“…With the aging population becoming grim worldwide, the cognitive level of the old people has especially garnered massive attention [ 1 4 ] because it is related to the quality of life. Determining the cognitive ability of the elderly as early as possible is a prerequisite for prevention or intervention for slowing down the time course of degenerative or pathological cognitive decline.…”
Section: Introductionmentioning
confidence: 99%