Functional hypothalamic MR spectroscopy at 7 Tesla: Metabolic shifts in response to food image stimuli and associations with hypothalamic volume and body mass index
BACKGROUND: The hypothalamus plays a central role in regulating hunger and satiety, yet human in vivo studies have been limited by its small size. The advent of high-field MRI has expanded opportunities to examine hypothalamic metabolic function and fine structural detail. METHODS: In this proof-of-concept study, we utilised 7 Tesla MR spectroscopy and structural T1-weighted MRI to investigate relationships between hypothalamic metabolites, subregional volumes, and BMI. Participants also completed a functional MRS paradigm using a block design with food image and rest conditions. RESULTS: Eighteen participants completed baseline hypothalamic MRS (mean age 32 ± 5.9 years; 8 female; mean BMI 27 ± 6.9). At baseline, higher tissue-corrected PCr concentrations were significantly associated with greater right tubular inferior hypothalamic volume (p < 0.01). Seventeen participants also underwent functional MRS (mean age 32 ± 5.7; 7 female; mean BMI 27 ± 6.6). During the active task condition (viewing food images), tissue-corrected and water-referenced PCr and PCho+GPC (p < 0.05) increased relative to baseline, with Ins showing a trend towards increase (p < 0.1). Compared with rest spectra, Glc+Tau showed a trend towards reduction in the active condition (p < 0.1). In the active condition, higher Cr and PCho+GPC were significantly associated with BMI (p < 0.05). CONCLUSIONS: These findings provide early human in vivo evidence linking hypothalamic metabolite concentrations to subregion-specific volumes, BMI and food-cue processing. Increases in high-energy phosphate and choline-containing metabolites during stimulation, alongside BMI-related metabolic variation, suggest dynamic hypothalamic metabolic responsivity relevant to appetite and energy-regulation pathways.
Authors
- Onur Özyurt (ORCID: https://orcid.org/0000-0001-9479-6190)
- Stephanie S. G. Brown (ORCID: https://orcid.org/0000-0002-8747-7770)
- S.Sanaz Hosseini
- Paul C. Fletcher
- Guy Williams
Institutions
- Cambridge University Hospitals NHS Foundation Trust (GB)
- Wellcome/MRC Institute of Metabolic Science (GB)
- Cambridgeshire and Peterborough NHS Foundation Trust (GB)
- Addenbrooke's Hospital (GB)
- MRC Epidemiology Unit (GB)
Publication Details
- Journal
- NeuroImage
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1016/j.neuroimage.2026.121958
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust
- Alzheimer’s Research UK
- NIHR Cambridge Biomedical Research Centre