Group-specific discriminant analysis enhances detection of sex differences in brain functional network lateralization
The GSDA-based analysis challenges the conventional approach to investigating group-specific lateralization and indicates that previous findings on sex-specific lateralization will need revisits and revalidation. This method is generic and can be adapted for other group-specific analyses, such as treatment-specific or disease-specific studies.
Authors
- Gaolang Gong (ORCID: https://orcid.org/0000-0001-5788-022X)
- Haiping Lu (ORCID: https://orcid.org/0000-0002-0349-2181)
- Yaya Jiang (ORCID: https://orcid.org/0000-0001-7011-4175)
- H. Wang (ORCID: https://orcid.org/0000-0002-1352-8387)
- Shuo Zhou (ORCID: https://orcid.org/0000-0002-8069-2814)
- Junhao Luo (ORCID: https://orcid.org/0000-0002-3207-1597)
Institutions
- McGovern Institute for Brain Research (US)
- Shenzhen Institute of Information Technology (CN)
- Harbin Institute of Technology (CN)
- Beijing Normal University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Chinese Institute for Brain Research (CN)
- Cloud Computing Center (CN)
- Beijing International Studies University (CN)
- University of Sheffield (GB)
Publication Details
- Journal
- GigaScience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/gigascience/giaf082
- Primary Topic
- Hemispheric Asymmetry in Neuroscience
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- Fundamental Research Funds for Central Universities of the Central South University