Distribution of Cortical Atrophy Associated with Cognitive Decline in Alzheimer’s Disease: A Cross-Sectional Quantitative Structural MRI Study from PUMCH Dementia Cohort

Author:

Feng Feng1,Gao Jing2,Mao Chenhui2ORCID,Hou Bo3,Li Jie2,Chu Shanshan2,Huang Xinying2,Wang Jie2,Dong Liling2,Liu Caiyan2,Peng Bin2

Affiliation:

1. Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing 100730, China

2. Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing 100730, China

3. Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science/Peking Union Medical College, Beijing 100730, China

Abstract

Background: Quantitative measures of atrophy on structural MRI are sensitive to the neurodegeneration that occurs in AD, and the topographical pattern of atrophy could serve as a sensitive and specific biomarker. Ojective: We aimed to examine the distribution of cortical atrophy associated with cognitive decline and disease stage based on quantitative structural MRI analysis in a Chinese cohort to inform clinical diagnosis and follow-up of AD patients. Methods: One hundred and eleven patients who were clinically diagnosed with probable AD were enrolled. All patients completed a systemic cognitive evaluation and domain-specific batteries. The severity of cognitive decline was defined by MMSE score: 1-10 severe, 11-20 moderate, 21-30 mild. Cortical volume and thickness determined using 3D-T1 MRI data were analyzed using voxel-based morphometry and surface-based analysis supported by the DR. Brain Platform. Results: The male:female ratio was 38:73. The average age was 70.8±10.6 years. The mild:moderate:severe ratio was 48:38:25. Total grey matter volume was significantly related to cognition while the relationship between white matter volume and cognition did not reach statistical significance. The volume of the temporal-parietal-occipital cortex was most strongly associated with cognitive decline in group analysis, while the hippocampus and entorhinal area had a less significant association with cognitive decline. Volume of subcortical grey matter was also associated with cognition. Volume and thickness of temporoparietal cortexes were significantly correlated with cognitive decline with a left predominance observed. Conclusion: Cognitive deterioration was associated with cortical atrophy. Volume and thickness of the left temporal-parietal-occipital cortex were most important in early diagnosis and longitudinal evaluation of AD in clinical practice. Cognitively relevant cortices were left predominant.

Funder

National Key Research and Development Program of China

CAMS Innovation Fund for Medical Sciences

National Natural Science Foundation of China

Publisher

Bentham Science Publishers Ltd.

Subject

Neurology (clinical),Neurology

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