Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer’s disease
The intricate spatial configurations of brain networks offer essential insights into understanding the specific patterns of brain abnormalities and the underlying biological mechanisms associated with Alzheimer's disease (AD), normal aging, and other neurodegenerative disorders. This study investigated alterations in the topographical structure of the brain related to aging and neurodegenerative diseases by analyzing brain gradients derived from structural MRI data across multiple cohorts (<i>n</i> = 7323). The analysis identified distinct gradient patterns in AD, aging, and other neurodegenerative conditions. Gene enrichment analysis indicated that inorganic ion transmembrane transport was the most significant term in normal aging, while chemical synaptic transmission is a common enrichment term across various neurodegenerative diseases. Moreover, the findings show that each disorder exhibits unique dysfunctional neurophysiological characteristics. These insights are pivotal for elucidating the distinct biological mechanisms underlying AD, thereby enhancing our understanding of its unique clinical phenotypes in contrast to normal aging and other neurodegenerative disorders.
Authors
- Pan Wang (ORCID: https://orcid.org/0000-0003-0802-0842)
- Yongbin Wei (ORCID: https://orcid.org/0000-0002-8044-7667)
- Yi Tang (ORCID: https://orcid.org/0000-0002-8052-065X)
- Pindong Chen (ORCID: https://orcid.org/0000-0003-4655-786X)
- Kun Zhao (ORCID: https://orcid.org/0000-0002-5196-100X)
- Bo Zhou (ORCID: https://orcid.org/0000-0002-7973-1185)
- Hongxiang Yao (ORCID: https://orcid.org/0000-0003-1207-2215)
- Jie Lu (ORCID: https://orcid.org/0000-0003-0425-3921)
- Liyun Tu (ORCID: https://orcid.org/0000-0002-3389-400X)
- Dong Wang (ORCID: https://orcid.org/0000-0001-7017-8259)
- Xi Zhang (ORCID: https://orcid.org/0000-0002-1047-6569)
- Dawei Wang (ORCID: https://orcid.org/0000-0002-4488-2135)
- Yong Liu (ORCID: https://orcid.org/0000-0002-1862-3121)
- Yuqi Chen (ORCID: https://orcid.org/0000-0001-8132-1225)
- Yan Chen (ORCID: https://orcid.org/0009-0004-8782-8843)
- Zhengluan Liao (ORCID: https://orcid.org/0000-0002-6114-6682)
- Ying Han (ORCID: https://orcid.org/0000-0002-4009-8810)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Capital Medical University (CN)
- Chinese PLA General Hospital (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Center for Excellence in Brain Science and Intelligence Technology (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Tianjin Huanhu Hospital (CN)
- High Magnetic Field Laboratory (CN)
- Chinese Institute for Brain Research (CN)
- Zhejiang Provincial People's Hospital (CN)
- Qilu Hospital of Shandong University (CN)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- Science Advances
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1126/sciadv.ado8837
- Citations
- 14
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.80