- Background
Transcranial magnetic stimulation (TMS) is used to treat a range of brain disorders by inducing an electric field (E-field) in the brain. However, the precise neural effects of TMS are not well understood. Nonhuman primates (NHPs) are increasingly becoming a model for measuring the impact of TMS on neural activity, but a systematic method of quantifying the induced E-field in the cortex of NHPs has not been developed.
New Method
The pipeline uses statistical parametric mapping (SPM) to automatically segment a structural MRI image of a rhesus macaque into five tissue compartments. Manual corrections are necessary around implants. The segmented tissues are tessellated into 3D ... [Read More]
- Total Size
- 31 files (208 MB)
- Data Citation
- Goswami, N., Shen, M., Gomez, L. J., Dannhauer, M., Sommer, M. A., & Peterchev, A. V. (2023). Data from: A semi-automated pipeline for finite element modeling of induced electric field in nonhuman primates by transcranial magnetic stimulation. Duke Research Data Repository. https://doi.org/10.7924/r4sq9360s
- Creator
- DOI
- 10.7924/r4sq9360s
- Subject
- Publication Date
- September 27, 2023
- ARK
- ark:/87924/r4sq9360s
- Publisher
- Type
- Contact
- Neerav Goswami: https://orcid.org/0009-0002-4200-3667, neerav.goswami@duke.edu
- Title
- Data from: A semi-automated pipeline for finite element modeling of induced electric field in nonhuman primates by transcranial magnetic stimulation
- Repository
Thumbnail | Title | Date Uploaded | Visibility | Actions |
---|---|---|---|---|
README.txt | 2023-09-27 | Download | ||
NHP_Priors | 2023-09-27 | |||
NHP_Subjects | 2023-09-27 |