An fMRI dataset for appetite neural correlates in people living with Motor Neuron Disease.

Abstract

The dataset investigates the neural correlates of appetite in people living with motor neuron disease (plwMND) compared to non-neurodegenerative disease controls. Thirty-six plwMND and twenty-three controls underwent two fMRI sessions: one in a fasted state and one postprandial. Participants viewed visual stimuli of non-food items, low-calorie foods, and high-calorie foods in a randomised block design. Imaging data included T1w, T2w, and task-based and resting-state fMRI scans, and measures are complemented by subjective appetite questionnaires and anthropometric measures. This dataset is unique for its inclusion of functional imaging across prandial states, offering insights into the neural mechanisms of appetite regulation in patients with MND. Researchers can explore various aspects of the data, including the functional responses to food stimuli and their associations with clinical and appetite measures. The data, deposited in OpenNeuro, follows the Brain Imaging Data Structure (BIDS) standard, ensuring compatibility and reproducibility for future research. This comprehensive dataset provides a resource for studying the central mechanisms of appetite regulation in MND.