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Structure-function coupling reveals the brain hierarchical structure dysfunction in Alzheimer's disease: A multicenter study.
Sun, Yibao; Wang, Pan; Zhao, Kun; Chen, Pindong; Qu, Yida; Li, Zhuangzhuang; Zhong, Suyu; Zhou, Bo; Lu, Jie; Zhang, Xi; Wang, Dawei; Han, Ying; Yao, Hongxiang; Liu, Yong.
Afiliação
  • Sun Y; Center for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
  • Wang P; Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
  • Zhao K; Center for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
  • Chen P; School of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Qu Y; School of Artificial Intelligence, University of Chinese Academy of Sciences & Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Li Z; Center for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
  • Zhong S; Center for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
  • Zhou B; Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Lu J; Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China.
  • Zhang X; Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Wang D; Department of Radiology, School of Public Health, Qilu Hospital of Shandong University & Department of Epidemiology and Health Statistics, Jinan, China.
  • Han Y; School of Biomedical Engineering, Hainan University, Haikou, China.
  • Yao H; Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
  • Liu Y; National Clinical Research Center for Geriatric Diseases, Beijing, China.
Alzheimers Dement ; 2024 Jul 28.
Article em En | MEDLINE | ID: mdl-39072981
ABSTRACT

BACKGROUND:

Alzheimer's disease (AD) is a neurodegenerative condition characterized by cognitive decline. To date, the specific dysfunction in the brain's hierarchical structure in AD remains unclear.

METHODS:

We introduced the structural decoupling index (SDI), based on a multi-site data set comprising functional and diffusion-weighted magnetic resonance imaging data from 793 subjects, to assess their brain hierarchy.

RESULTS:

Compared to normal controls (NCs), individuals with AD exhibited increased SDI within the posterior superior temporal sulcus, insular gyrus, precuneus, hippocampus, amygdala, postcentral gyrus, and cingulate gyrus; meanwhile, the patients with AD demonstrated decreased SDI in the frontal lobe. The SDI in those regions also showed a significant correlation with cognitive ability. Moreover, the SDI was a robust AD neuroimaging biomarker capable of accurately distinguishing diagnostic status (area under the curve [AUC] = 0.86).

DISCUSSION:

Our findings revealed the dysfunction of the brain's hierarchical structure in AD. Furthermore, the SDI could serve as a promising neuroimaging biomarker for AD. HIGHLIGHTS This study utilized multi-center, multi-modal data from East Asian populations. We found an increased spatial gradient of the structure decoupling index (SDI) from sensory-motor to higher-order cognitive regions. Changes in SDI are associated with energy metabolism and mitochondria. SDI can identify Alzheimer's disease (AD) and further uncover the disease mechanisms of AD.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Alzheimers Dement Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Alzheimers Dement Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China