Chris Abbott

The paper evaluates numerical accuracy and convergence of hippocampal electric field modeling across three methods in ECT patients, finding significant discrepancies at low resolutions.

This study assesses how race, sex, and electrode montage affect brain-wide current flow during ECT using computational models.

This paper improves the localization of auditory evoked fields using reciprocal BEM-FMM, achieving higher accuracy and focality compared to standard BEM methods.

This study compares electric field models derived from ultra-low-field (ULF) and 3T MRI scans, finding significant differences in cortical regions but less so in deeper brain structures.

This study shows that electroconvulsive therapy (ECT) induces a postictal wave of spreading depolarization in both mice and humans, suggesting a new mechanism for its therapeutic effects.

The paper presents a WM intrinsic connectivity network template derived from 100,000 fMRI scans, showing distinct WM and GM networks with task-related activity and differences in schizophrenia.

The paper develops a reliable network template and methods to estimate individualized functional networks from resting-state fMRI data across 100k+ individuals, showing how data length and spatial resolution affect network estimation.

This study investigates the relationship between neural excitation/inhibition imbalance and treatment outcomes in severe depression, finding that ECT effectiveness is not tied to changes in inhibition but can be enhanced by pharmacotherapy under specific conditions.

This study uses resting-state fMRI to analyze dynamic functional connectivity in major depressive disorder patients before and after ECT, finding that specific network states predict treatment response.