Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention
© 2024 The Authors. Human Brain Mapping published by Wiley Periodicals LLC..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:45 |
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| Enthalten in: |
Human brain mapping - 45(2024), 3 vom: 15. Feb., Seite e26595 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Finkelstein, Ofek [VerfasserIn] |
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| Links: |
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| Themen: |
Biomarker |
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| Anmerkungen: |
Date Completed 21.02.2024 Date Revised 26.02.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1002/hbm.26595 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a 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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| 700 | 1 | |a Meir, Anat Yaskolka |e verfasserin |4 aut | |
| 700 | 1 | |a Rinott, Ehud |e verfasserin |4 aut | |
| 700 | 1 | |a Tsaban, Gal |e verfasserin |4 aut | |
| 700 | 1 | |a Witte, Anja Veronica |e verfasserin |4 aut | |
| 700 | 1 | |a Blüher, Matthias |e verfasserin |4 aut | |
| 700 | 1 | |a Stumvoll, Michael |e verfasserin |4 aut | |
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| 700 | 1 | |a Avidan, Galia |e verfasserin |4 aut | |
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