Neural pathways to bariatric success: What explainable <scp>AI</scp> reveals that conventional <scp>fMRI</scp> methods may miss
Explainable AI-powered fMRI analysis uncovered subtle neural patterns that conventional methods failed to detect. These findings suggest that a patient's "neural readiness" for MBS may extend beyond self-regulatory circuits. It may also depend on their capacity to perceive and interpret internal bodily signals and to process emotional information-both personal and social.
Authors
- Jakub Wojtasik (ORCID: https://orcid.org/0000-0001-6157-5658)
- Maciej Michalik
- Adrian Falkowski (ORCID: https://orcid.org/0000-0002-8744-6202)
- Magdalena Szwed (ORCID: https://orcid.org/0000-0002-0673-2910)
- Krzysztof Aleksander Szwed
- Marek Kubicki (ORCID: https://orcid.org/0000-0002-3989-8212)
- Johanna Seitz‐Holland (ORCID: https://orcid.org/0000-0002-1815-2681)
Institutions
- Bydgoszcz University of Science and Technology (PL)
- Harvard University (US)
- Nicolaus Copernicus University (PL)
- Massachusetts General Hospital (US)
- University of Bydgoszcz (PL)
- AGH University of Krakow (PL)
Publication Details
- Journal
- Diabetes Obesity and Metabolism
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1111/dom.70058
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Brain and Behavior Research Foundation
- National Institute of Mental Health