Petro Julkunen1. 1. Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland. Electronic address: petro.julkunen@kuh.fi.
Abstract
BACKGROUND: Navigated transcranial magnetic stimulation (nTMS) is used for locating and outlining cortical representation areas, e.g., of motor function and speech. At present there are no standard methods of measuring the size of the cortical representation areas mapped with nTMS. The aim was to compare four computation methods for estimating muscle representation size and location for nTMS studies. NEW METHOD: The motor cortex of six subjects was mapped to outline the motor cortical representation of hand muscles. Four methods were compared to assess cortical representation size in nTMS. These methods included: (1) spline interpolation method, (2) convex hull method, which outlines all positive motor responses, (3) Voronoi tessellation method, which assigns a specific cortical area for each stimulus location, and (4) average point-area method, which computes an average representation area for each stimulus with the assumption of evenly spaced stimulus locations, i.e., the use of a grid. RESULTS: All applied methods demonstrated good repeatability in measuring muscle representation size and location, while the spline interpolation and the convex hull method demonstrated systematically larger representation areas (p<0.05) as compared to the average point-area method. Spline interpolation method demonstrated the best repeatability in location. COMPARISON WITH EXISTING METHODS: Unlike the previous methods, the presented methods can be applied for the estimation of the representation area of nTMS-induced activation without the use of an evenly spaced stimulus grid. CONCLUSIONS: The spline interpolation method and the Voronoi tessellation method could be used for evaluating motor cortical muscle representation size and location with nTMS, e.g., to study cortical plasticity.
BACKGROUND: Navigated transcranial magnetic stimulation (nTMS) is used for locating and outlining cortical representation areas, e.g., of motor function and speech. At present there are no standard methods of measuring the size of the cortical representation areas mapped with nTMS. The aim was to compare four computation methods for estimating muscle representation size and location for nTMS studies. NEW METHOD: The motor cortex of six subjects was mapped to outline the motor cortical representation of hand muscles. Four methods were compared to assess cortical representation size in nTMS. These methods included: (1) spline interpolation method, (2) convex hull method, which outlines all positive motor responses, (3) Voronoi tessellation method, which assigns a specific cortical area for each stimulus location, and (4) average point-area method, which computes an average representation area for each stimulus with the assumption of evenly spaced stimulus locations, i.e., the use of a grid. RESULTS: All applied methods demonstrated good repeatability in measuring muscle representation size and location, while the spline interpolation and the convex hull method demonstrated systematically larger representation areas (p<0.05) as compared to the average point-area method. Spline interpolation method demonstrated the best repeatability in location. COMPARISON WITH EXISTING METHODS: Unlike the previous methods, the presented methods can be applied for the estimation of the representation area of nTMS-induced activation without the use of an evenly spaced stimulus grid. CONCLUSIONS: The spline interpolation method and the Voronoi tessellation method could be used for evaluating motor cortical muscle representation size and location with nTMS, e.g., to study cortical plasticity.
Keywords:
Centre of gravity; Motor cortex; Motor evoked potential; Navigated transcranial magnetic stimulation; Spline interpolation; Voronoi tessellation
Authors: Gabriela P Tardelli; Victor H Souza; Renan H Matsuda; Marco A C Garcia; Pavel A Novikov; Maria A Nazarova; Oswaldo Baffa Journal: Brain Topogr Date: 2022-03-09 Impact factor: 4.275
Authors: Adrianna Giuffre; Ephrem Zewdie; Helen L Carlson; James G Wrightson; Hsing-Ching Kuo; Lauran Cole; Adam Kirton Journal: Physiol Rep Date: 2021-04
Authors: Andrew Green; Priscilia W T Cheong; Stephanie Fook-Chong; Rajendra Tiruchelvarayan; Chang Ming Guo; Wai Mun Yue; John Chen; Yew Long Lo Journal: Neural Plast Date: 2015-11-02 Impact factor: 3.599