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.

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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
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article

Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairment

Susan M. Resnick, Lianrui Zuo, Nancy R. Newlin, Timothy J. Hohman et al.
Journal of Medical Imaging
Functional Brain Connectivity Studies
article

Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairment

Susan M. Resnick, Lianrui Zuo, Nancy R. Newlin, Timothy J. Hohman, Sarah Biber, Chenyu Gao, Chloe Cho, Lisa L. Barnes, Derek B. Archer, Robert C. Barber, Lori L. Beason‐Held, Praitayini Kanakaraj, Sid E. O’Bryant, Michael E. Kim, Daniel Moyer, Nicole Phillips, Bennett A. Landman, Elyssa M. McMaster, David A. Bennett, Sterling C. Johnson, Z. Li
article en

Abstract

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.

Journal of Medical ImagingVol. 12(06)
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)
Openalex Percentile: Top 67%
Functional Brain Connectivity Studies
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