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  Deep learning‐based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention

Finkelstein, O., Levakov, G., Kaplan, A., Zelicha, H., Meir, A. Y., Rinott, E., et al. (2024). Deep learning‐based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention. Human Brain Mapping, 45(3): e26595. doi:10.1002/hbm.26595.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-7996-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-A78D-7
Genre: Journal Article

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 Creators:
Finkelstein, Ofek1, Author
Levakov, Gidon1, Author
Kaplan, Alon2, 3, Author
Zelicha, Hila2, Author
Meir, Anat Yaskolka2, Author
Rinott, Ehud2, Author
Tsaban, Gal2, 4, Author
Witte, A. Veronica5, Author                 
Blüher, Matthias6, Author
Stumvoll, Michael6, Author
Shelef, Ilan2, 4, Author
Shai, Iris2, 7, Author
Riklin Raviv, Tammy8, Author
Avidan, Galia9, Author
Affiliations:
1Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel, ou_persistent22              
2The Health & Nutrition Innovative International Research Center, Ben-Gurion University of the Negev, Beer Sheva, Israel, ou_persistent22              
3The Chaim Sheba Medical Center, Tel Hashomer, Ramat-Gan, Israel, ou_persistent22              
4Soroka University Medical Center, Beer Sheva, Israel, ou_persistent22              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
6Department of Medicine, University Hospital Leipzig, Germany, ou_persistent22              
7Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA, ou_persistent22              
8School of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel, ou_persistent22              
9Department of Psychology, Ben-Gurion University of the Negev, Beer Sheva, Israel, ou_persistent22              

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Free keywords: MRI; Biomarker; Deep learning; Obesity
 Abstract: Obesity is associated with negative effects on the brain. We exploit Artificial Intelligence (AI) tools to explore whether differences in clinical measurements following lifestyle interventions in overweight population could be reflected in brain morphology. In the DIRECT-PLUS clinical trial, participants with criterion for metabolic syndrome underwent an 18-month lifestyle intervention. Structural brain MRIs were acquired before and after the intervention. We utilized an ensemble learning framework to predict Body-Mass Index (BMI) scores, which correspond to adiposity-related clinical measurements from brain MRIs. We revealed that patient-specific reduction in BMI predictions was associated with actual weight loss and was significantly higher in active diet groups compared to a control group. Moreover, explainable AI (XAI) maps highlighted brain regions contributing to BMI predictions that were distinct from regions associated with age prediction. Our DIRECT-PLUS analysis results imply that predicted BMI and its reduction are unique neural biomarkers for obesity-related brain modifications and weight loss.

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Language(s): eng - English
 Dates: 2023-11-162023-05-012024-01-032024-02-202024-02-15
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/hbm.26595
PMID: 38375968
PMC: PMC10878010
 Degree: -

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Project name : -
Grant ID : U01 AG024904
Funding program : -
Funding organization : National Institutes of Health (NIH)
Project name : -
Grant ID : W81XWH-12-2-0012
Funding program : -
Funding organization : Department of Defense
Project name : -
Grant ID : 5R21MH107045; R03MH096321; K23MH087770
Funding program : -
Funding organization : National Institutes of Mental Health (NIMH)
Project name : -
Grant ID : BB/H008217/1
Funding program : -
Funding organization : UK Biotechnology and Biological Sciences Research Council (BBSRC)
Project name : -
Grant ID : -
Funding program : -
Funding organization : German Research Foundation (DFG)
Project name : -
Grant ID : 87472511
Funding program : -
Funding organization : Israel Ministry of Health
Project name : -
Grant ID : 3-13604
Funding program : -
Funding organization : Israel Ministry of Science and Technology

Source 1

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 45 (3) Sequence Number: e26595 Start / End Page: - Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686