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Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
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Mapping Inter-individual Functional Connectivity Variability in TMS Targets for Major Depressive Disorder
Shreyas Harita1,2, Davide Momi2, Frank Mazza2,3
1Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
Frontiers in Psychiatry
|July 11, 2022
Summary
Individual differences in brain connectivity and geometry significantly impact Transcranial Magnetic Stimulation (TMS) effectiveness for major depressive disorder (MDD). Understanding functional connectivity (FC) variability is key to refining TMS targeting for better patient outcomes.
Area of Science:
- Neuroscience
- Medical Imaging
- Psychiatry
Background:
- Transcranial Magnetic Stimulation (TMS) is an emerging treatment for major depressive disorder (MDD).
- TMS efficacy varies significantly between individuals due to differences in neurophysiology, cortical geometry, and brain connectivity.
- Standard TMS targeting often relies on anatomical landmarks, potentially overlooking crucial network connectivity.
Purpose of the Study:
- To investigate the functional connectivity (FC) of Transcranial Magnetic Stimulation (TMS) targets in the dorsolateral prefrontal cortex (dlPFC) and orbitofrontal cortex (OFC).
- To analyze inter-subject variability in TMS-induced electrical field (E-field) patterns and their associated functional brain networks.
- To determine if individual differences in functional brain dynamics or cortical geometry contribute more to downstream network engagement.
Main Methods:
- Generated individualized E-field maps on the cortical surface for 121 subjects using SimNIBS and tetrahedral head models from MRI data.
- Targeted the left dlPFC (F3 position) and left OFC (Fp1 position).
- Analyzed inter-subject variability in E-field patterns, FC, and network membership of TMS targets.
Main Results:
- Identified distinct FC patterns for dlPFC and OFC TMS targets, with significant inter-subject variability.
- Revealed targeting of ventral attention, fronto-parietal, and default-mode networks for dlPFC, and fronto-parietal and default mode networks for OFC.
- Found that while normative data can predict targeted networks, it cannot accurately quantify the relative network loading due to high individual variability in cortical geometry and FC.
Conclusions:
- Characterized the functional connectivity patterns of canonical TMS targets and their variability across individuals.
- High inter-individual variability in cortical geometry and FC likely contributes to the observed variability in TMS physiological and therapeutic outcomes.
- These findings offer insights for refining TMS therapy through a better understanding of its neurophysiological effects and subject-specific targeting.

