Douglas L. Rothman

This study develops a computational model of neurotransmitter cycling to predict glutamate and GABA dynamics in response to exogenous ketones, supported by MRS data.

This study uses EEG data and a large language model to reconstruct imagined speech and estimate metabolic activity, showing improved biological variability with pseudorandom variance.

This study uses 1H MR Spectroscopy and rsfMRI to show that ketosis increases antioxidants and energy markers while improving neural function through enhanced bioenergetics.

This paper introduces a deep learning approach for spectral registration in MRS data, showing improved accuracy in frequency and phase correction compared to existing methods.

This study uses non-invasive MRI to measure choroid plexus perfusion and secretory function in rats, finding that anesthesia affects perfusion but not secretory function.

This paper introduces DeepSPEC, a CNN-based method for frequency-and-phase correction of MRS data, showing improved accuracy and robustness to noise compared to MLP and mSR methods.