Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery
Contrastive learning can sensitively detect functional shifts in critical cortical networks that previous traditional analyses may overlook. These findings inform broader shifts in whole-brain network functioning following effective HH surgery and establish a featurewise distinction between preoperative and postoperative states, motivating future studies that compare HH patients to healthy controls to quantify network recovery.
Authors
- Varina L. Boerwinkle (ORCID: https://orcid.org/0000-0002-1429-2994)
- Belfin Robinson (ORCID: https://orcid.org/0009-0009-2792-3650)
- Masoomeh Kazemi (ORCID: https://orcid.org/0000-0002-4031-8967)
- Olivia Leggio
- Andrew Jeyabose (ORCID: https://orcid.org/0000-0003-3592-6543)
Institutions
- University of North Carolina at Chapel Hill (US)
- University of North Carolina Health Care (US)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1186/s12938-025-01458-6
- Citations
- 1
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43