An MRI-based semiquantitative index for the evaluation of brain atrophy and lesions in alzheimer's disease, mild cognitive impairment and normal aging

Wei Chen; Xiaowei Song; Yunting Zhang; Sultan Darvesh; Ningnannan Zhang; Ryan C.N. D'Arcy; Sandra Black; Kenneth Rockwood

doi:10.1159/000319537

An MRI-based semiquantitative index for the evaluation of brain atrophy and lesions in alzheimer's disease, mild cognitive impairment and normal aging

Wei Chen, Xiaowei Song, Yunting Zhang, Sultan Darvesh, Ningnannan Zhang, Ryan C.N. D'Arcy, Sandra Black, Kenneth Rockwood

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

Background: This study investigates how T₁-weighted MRI can be used to evaluate brain anatomical changes. We investigated these changes in Alzheimer's disease (AD) and normal aging. Methods: A semiquantitative brain atrophy and lesion index (BALI) was constructed by adapting existing visual rating scales and validated in 3 datasets. Results: The T₁-and T ₂-weighted-imaging-based scores were highly correlated. They were both closely associated with age and with cognitive test scores. Conclusion: The T₁-based BALI helps describe brain structural variability in AD, mild cognitive impairment and normal aging.

Original language	English
Pages (from-to)	121-130
Number of pages	10
Journal	Dementia and Geriatric Cognitive Disorders
Volume	30
Issue number	2
DOIs	https://doi.org/10.1159/000319537
Publication status	Published - Sept 2010
Externally published	Yes

ASJC Scopus Subject Areas

Geriatrics and Gerontology
Cognitive Neuroscience
Psychiatry and Mental health

PubMed: MeSH publication types

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1159/000319537

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abstract = "Background: This study investigates how T1-weighted MRI can be used to evaluate brain anatomical changes. We investigated these changes in Alzheimer's disease (AD) and normal aging. Methods: A semiquantitative brain atrophy and lesion index (BALI) was constructed by adapting existing visual rating scales and validated in 3 datasets. Results: The T1-and T 2-weighted-imaging-based scores were highly correlated. They were both closely associated with age and with cognitive test scores. Conclusion: The T1-based BALI helps describe brain structural variability in AD, mild cognitive impairment and normal aging.",

author = "Wei Chen and Xiaowei Song and Yunting Zhang and Sultan Darvesh and Ningnannan Zhang and D'Arcy, {Ryan C.N.} and Sandra Black and Kenneth Rockwood",

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doi = "10.1159/000319537",

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AU - Darvesh, Sultan

AU - Zhang, Ningnannan

AU - D'Arcy, Ryan C.N.

AU - Black, Sandra

AU - Rockwood, Kenneth

PY - 2010/9

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AB - Background: This study investigates how T1-weighted MRI can be used to evaluate brain anatomical changes. We investigated these changes in Alzheimer's disease (AD) and normal aging. Methods: A semiquantitative brain atrophy and lesion index (BALI) was constructed by adapting existing visual rating scales and validated in 3 datasets. Results: The T1-and T 2-weighted-imaging-based scores were highly correlated. They were both closely associated with age and with cognitive test scores. Conclusion: The T1-based BALI helps describe brain structural variability in AD, mild cognitive impairment and normal aging.

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An MRI-based semiquantitative index for the evaluation of brain atrophy and lesions in alzheimer's disease, mild cognitive impairment and normal aging

Abstract

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PubMed: MeSH publication types

UN SDGs

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