Instantaneous Frequency: A New Functional Biomarker for Dynamic Brain Causal Networks
Statistical analyses reveal significant group differences in IF metrics, highlighting its potential as a sensitive indicator for early diagnosis and monitoring of neurodegenerative and cognitive conditions.
Authors
- Liang Zhan (ORCID: https://orcid.org/0000-0002-7920-4828)
- Alex Leow (ORCID: https://orcid.org/0000-0002-5660-8651)
- Heng Huang (ORCID: https://orcid.org/0000-0002-3483-8333)
- Lei Guo (ORCID: https://orcid.org/0000-0002-9408-7594)
- Haoteng Tang (ORCID: https://orcid.org/0000-0003-0323-1755)
- Guodong Liu
- Paul M. Thompson
- Pei-Hong Gu
- Siyuan Dai
Institutions
- University of Southern California (US)
- University of Pittsburgh (US)
- The University of Texas Rio Grande Valley (US)
- University of Illinois Chicago (US)
- University of Maryland, College Park (US)
Publication Details
- Journal
- AI in neuroscience.
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1089/ains.2025.0005
- Citations
- 2
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.86