Hypothalamic effective connectivity at rest is associated with body weight and energy homeostasis

Author:

Voigt Katharina1,Andrews Zane B.2,Harding Ian H.3,Razi Adeel14,Verdejo-García Antonio1

Affiliation:

1. School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Victoria, Australia

2. Biomedicine Discovery Institute and Department of Physiology, Monash University, Victoria, Australia

3. Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia

4. The Wellcome Centre for Human Neuroimaging, University College London, London, UK

Abstract

Abstract Hunger and satiety drive eating behaviours via changes in brain function. The hypothalamus is a central component of the brain networks that regulate food intake. Animal research parsed the roles of the lateral hypothalamus (LH) and medial hypothalamus (MH) in hunger and satiety, respectively. Here, we examined how hunger and satiety change information flow between human LH and MH brain networks, and how these interactions are influenced by body mass index (BMI). Forty participants (16 overweight/obese) underwent two resting-state functional MRI scans while being fasted and sated. The excitatory/inhibitory influence of information flow between the MH and LH was modelled using spectral dynamic causal modelling. Our results revealed two core networks interacting across homeostatic state and weight: subcortical bidirectional connections between the LH, MH and the substantia nigra pars compacta (prSN), and cortical top-down inhibition from fronto-parietal and temporal areas. During fasting, we found higher inhibition between the LH and prSN, whereas the prSN received greater top-down inhibition from across the cortex. Individuals with higher BMI showed that these network dynamics occur irrespective of homeostatic state. Our findings reveal fasting affects brain dynamics over a distributed hypothalamic-midbrain-cortical network. This network is less sensitive to state-related fluctuations among people with obesity.

Funder

NHMRC

Publisher

MIT Press

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,General Neuroscience

Reference63 articles.

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5. The neurophysiological architecture of semantic dementia: spectral dynamic causal modelling of a neurodegenerative proteinopathy;Benhamou;Scientific Reports,2020

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