Effect of neuroanatomy on transcranial magnetic stimulation resting motor thresholds

Bhushan Thakkar (Lead / Corresponding author), Neil Mittal, Cooper Hodges, Yeajin Cho, Connor Lewis, Abigail Andrade, Brent Nevadomski, Keith Li, Ravi Hadimani, Carrie Peterson

Research output: Contribution to conferencePosterpeer-review

Abstract

Background and Objectives: Previous research has demonstrated that
anatomical complexities of cortical regions determine transcranial magnetic stimulation (TMS) induced electric fields in the brain, which impact
the response to TMS-based therapies. The current objective was to investigate the effect of individual neuroanatomy on first dorsal interosseous
(FDI) and biceps brachii resting motor thresholds (RMT) in response to
TMS.
Methods: We performed a cross-sectional study using a convenience
sample of ten healthy individuals (7 females, 23.5 ± 5 years). Each
participant completed two TMS sessions (one each targeting the FDI and
biceps cortical hotspots) and an MRI of the head on separate days. RMTs
were determined using a Magstim Super BiStim stimulator via a 70 mm
figure-of-eight coil to the left primary motor cortex and electromyography
signals were measured from right FDI and biceps. Head models were
generated based on T1 & T2 weighted MRI, while diffusion tensor imaging
was used to determine fiber tract geometry for FDI and biceps corticospinal tracts. Via the models, we established neuroanatomical parameters
including: fiber tract surface area (FTSA), tract fiber count (TFC), and brain
scalp distance (BSD). Cortical electric field strength (EFS) was calculated
using simulated stimulation of head models and finite element analysis.
Results: For the FDI, RMT was dependent on the interaction between
individually modeled parameters: 1) EFS and FTSA (p =0.036), and 2) EFS
and TFC (p =0.004). For the biceps, RMT was dependent on the interaction
between 1) EFS and FTSA (p =0.022) and 2) EFS and BSD (p =0.010).
Conclusions: Our study results show that MRI-based measures of neuroanatomy, specifically cortical architecture and tract anatomy, differentially impact how the motor system responds to TMS. MRI-based modeling of individual neuroanatomy may be a useful approach to select appropriate motor targets when designing TMS based therapies.
Original languageEnglish
Pages1694 (P3.082)
Number of pages1
DOIs
Publication statusPublished - 9 Dec 2021
Event4th International Brain Stimulation Conference - Charleston, United States
Duration: 7 Dec 202110 Dec 2021
Conference number: 4th
https://neuromodec.org/events/4th-international-brain-stimulation-conference-2/

Conference

Conference4th International Brain Stimulation Conference
Country/TerritoryUnited States
CityCharleston
Period7/12/2110/12/21
Internet address

Keywords

  • Corticospinal Tract
  • Simulation
  • Fiber Tracts

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