Gyral‐Sulcal Net: A Novel Brain Network Representation for Mild Cognitive Impairment Classification
We proposed a novel brain Gyral-Sulcal Net for MCI/CN classification. The Gyral-Sulcal Net integrates the brain's two primary folding patterns, gyri and sulci, into a unified finer-scale anatomical network. It effectively combines structural and functional information as the node features. Based on the Gyral-Sulcal Net, we developed a novel graph transformer network to leverage Gyral-Sulcal Net for MCI/CN classification. Our approach achieved promising results, highlighting the great potential of the Gyral-Sulcal Net in improving diagnostic accuracy.
Authors
- Tong Chen (ORCID: https://orcid.org/0000-0002-2715-5278)
- Michael Qu
- Yanjun Lyu
- Nan Zhao
- Lu Zhang
- Xiang Li
- Xiaowei Yu
Institutions
- Harvard University (US)
- The University of Texas at Arlington (US)
- Massachusetts General Hospital (US)
- Indiana University Indianapolis (US)
- Indiana University – Purdue University Indianapolis (US)
- Los Angeles Mission College (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_102417
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00