Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairment
The proposed model yields reproducible precision across 15 data configurations. This approach demonstrates the effectiveness of representation learning in enhancing biological signals by mitigating acquisition-specific confounding factors in neuroimaging studies.
Authors
- Susan M. Resnick (ORCID: https://orcid.org/0000-0003-1115-7145)
- Lianrui Zuo (ORCID: https://orcid.org/0000-0002-5923-9097)
- Nancy R. Newlin (ORCID: https://orcid.org/0000-0003-3714-4684)
- Timothy J. Hohman (ORCID: https://orcid.org/0000-0002-3377-7014)
- Sarah Biber
- Chenyu Gao (ORCID: https://orcid.org/0000-0003-2098-3035)
- Chloe Cho (ORCID: https://orcid.org/0000-0001-5114-001X)
- Lisa L. Barnes (ORCID: https://orcid.org/0000-0002-0072-9817)
- Derek B. Archer (ORCID: https://orcid.org/0000-0001-8638-0785)
- Robert C. Barber (ORCID: https://orcid.org/0000-0001-6857-0286)
- Lori L. Beason‐Held (ORCID: https://orcid.org/0000-0001-9057-6270)
- Praitayini Kanakaraj (ORCID: https://orcid.org/0000-0002-9979-217X)
- Sid E. O’Bryant (ORCID: https://orcid.org/0000-0003-0582-5266)
- Michael E. Kim (ORCID: https://orcid.org/0009-0006-3562-2688)
- Daniel Moyer (ORCID: https://orcid.org/0000-0003-4428-5012)
- Nicole Phillips (ORCID: https://orcid.org/0000-0002-9324-2687)
- Bennett A. Landman
- Elyssa M. McMaster
- David A. Bennett
- Sterling C. Johnson
- Z. Li
Institutions
- University of North Texas (US)
- Rush University Medical Center (US)
- University of Wisconsin–Madison (US)
- University of North Texas Health Science Center (US)
- Vanderbilt University (US)
- The Coordinating Center (US)
- Institute on Aging (US)
- National Institute on Aging (US)
- Wisconsin Division of Public Health (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1117/1.jmi.12.6.064001
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00