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Longitudinal Relationship Between Brain Atrophy Patterns, Cognitive Decline, and Cerebrospinal Fluid Biomarkers in Alzheimer's Disease Explored by Orthonormal Projective Non-Negative Matrix Factorization.
Shui, Lan; Shibata, Dean; Chan, Kwun Chuen Gary; Zhang, Wenbo; Sung, Junhyoun; Haynor, David R.
Afiliação
  • Shui L; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Shibata D; National Alzheimer's Coordinating Center, Seattle, WA, USA.
  • Chan KCG; Department of Biostatistics, MD Anderson Cancer Center, Houston, TX, USA.
  • Zhang W; Department of Radiology, University of Washington, Seattle, WA, USA.
  • Sung J; National Alzheimer's Coordinating Center, Seattle, WA, USA.
  • Haynor DR; Department of Biostatistics, University of Washington, Seattle, WA, USA.
J Alzheimers Dis ; 98(3): 969-986, 2024.
Article em En | MEDLINE | ID: mdl-38517788
ABSTRACT

Background:

Longitudinal magnetic resonance imaging (MRI) has been proposed for tracking the progression of Alzheimer's disease (AD) through the assessment of brain atrophy.

Objective:

Detection of brain atrophy patterns in patients with AD as the longitudinal disease tracker.

Methods:

We used a refined version of orthonormal projective non-negative matrix factorization (OPNMF) to identify six distinct spatial components of voxel-wise volume loss in the brains of 83 subjects with AD from the ADNI3 cohort relative to healthy young controls from the ABIDE study. We extracted non-negative coefficients representing subject-specific quantitative measures of regional atrophy. Coefficients of brain atrophy were compared to subjects with mild cognitive impairment and controls, to investigate the cross-sectional and longitudinal associations between AD biomarkers and regional atrophy severity in different groups. We further validated our results in an independent dataset from ADNI2.

Results:

The six non-overlapping atrophy components represent symmetric gray matter volume loss primarily in frontal, temporal, parietal and cerebellar regions. Atrophy in these regions was highly correlated with cognition both cross-sectionally and longitudinally, with medial temporal atrophy showing the strongest correlations. Subjects with elevated CSF levels of TAU and PTAU and lower baseline CSF Aß42 values, demonstrated a tendency toward a more rapid increase of atrophy.

Conclusions:

The present study has applied a transferable method to characterize the imaging changes associated with AD through six spatially distinct atrophy components and correlated these atrophy patterns with cognitive changes and CSF biomarkers cross-sectionally and longitudinally, which may help us better understand the underlying pathology of AD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article