Abstract
Background: Transcranial magnetic stimulation (TMS) corticospinal excitability maps are a valuable tool to study plasticity in the corticospinal tract. Traditionally, data acquisition for a single map is time consuming, limiting the method's applicability when excitability changes quickly, such as during motor learning, and in clinical investigations where assessment time is a limiting factor.
Objective: To reduce the time needed to create a reliable map by 1) investigating the minimum interstimulus interval (ISI) at which stimuli may be delivered, and 2) investigating the minimum number of stimuli required to create a map.
Method: Frameless stereotaxy was used to monitor coil position as the coil was moved pseudorandomly within a 6 × 6 cm square. Maps were acquired using 1–4 s ISIs in 12 participants. The minimum number of stimuli was determined by randomly extracting data and comparing the resulting map to the original data set. To confirm validity, the pseudorandom walk method was compared against a traditional mapping method.
Results: Reliable maps could be created with 63 stimuli recorded with a 1 s ISI. Maps created acquiring data using the pseudorandom walk method were not significantly different from maps acquired following the traditional method.
Conclusions: To account for inter-participant variability, outliers, coil positioning errors and, most importantly, participant comfort during data acquisition, we recommend creating a map with 80 stimuli and a 1.5 s ISI. This makes it possible to acquire TMS maps in 2 min, making mapping a more feasible tool to study short- and long-term changes in cortical organization.
Original language | English |
---|---|
Pages (from-to) | 231-239 |
Number of pages | 9 |
Journal | Brain Stimulation |
Volume | 8 |
Issue number | 2 |
Early online date | 8 Nov 2014 |
DOIs | |
Publication status | Published - Mar 2015 |
Keywords
- Plasticity
- Motor learning
- Corticospinal excitability
Profiles
-
Michael Grey
- School of Health Sciences - Honorary Fellow
- Rehabilitation - Member
Person: Honorary, Research Group Member