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Abstract #1600

Use of High Angular Resolution Diffusion Imaging to Predict Optimal Coil Orientation in TMS

Malte Szillat1, Severin Schramm1,2, Silas Preis1, Julia Ten Pas1, Constanze Ramschütz1, Su Hwan Kim1, Jan Kirschke1, Bernhard Meyer3, Nico Sollmann1,2,4, and Andrey Zhylka5,6
1Institute for Neuroradiology, TUM University Hospital, School of Medicine and Health, Technical University of Munich, Munich, Germany, 2TUM Neuroimaging Center, TUM University Hospital, School of Medicine and Health, Technical University of Munich, Germany, Munich, Germany, 3Department of Neurosurgery, TUM University Hospital, School of Medicine and Health, Technical University of Munich, Germany, Munich, Germany, 4Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Germany, Ulm, Germany, 5Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 6Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands

Synopsis

Keywords: White Matter, White Matter, Brain;Microstructure; Tractography

Motivation: Transcranial magnetic stimulation (TMS) is clinically applied for modulation of brain activity. However, stimulation is rarely individualized to subject-specific brain structure, leading to suboptimal stimulation results.

Goal(s): We investigated whether high angular resolution diffusion imaging (HARDI) can be employed to predict optimal coil orientation in TMS.

Approach: We generated a total of 420 motor-evoked potentials (MEPs) spread across 7 different coil orientations in 19 healthy volunteers. We analyzed the relationship of coil direction, HARDI-derived fiber orientation distribution functions (FODs), and MEP amplitudes.

Results: Conditional expectations of the MEP amplitudes dependent on the angular deviations between TMS coil and FOD peaks were derived.

Impact: The ability to predict optimal coil orientation based on microstructural tissue properties could help to tailor therapeutic TMS to the individual patient, thus improving clinical TMS applications.

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Abstract

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