Literature DB >> 33146067

Reliability of robotic transcranial magnetic stimulation motor mapping.

Adrianna Giuffre1,2,3, Cynthia K Kahl2,3,4, Ephrem Zewdie1,2,3, James G Wrightson3, Anna Bourgeois1, Elizabeth G Condliffe2,3, Adam Kirton1,2,3.   

Abstract

Robotic transcranial magnetic stimulation (TMS) is a noninvasive and safe tool that produces cortical motor maps using neuronavigational and neuroanatomical images. Motor maps are individualized representations of the primary motor cortex (M1) topography that may reflect developmental and interventional plasticity. Results of TMS motor map reliability testing have been variable, and robotic measures are undefined. We aimed to determine the short- and long-term reliability of robotic TMS motor maps. Twenty healthy participants underwent motor mapping at baseline, 24 h, and 4 wk. A 12 × 12 grid (7-mm spacing) was placed over the left M1, centered over the hand knob area. Four suprathreshold stimulations were delivered at each grid point. First dorsal interosseous (FDI) motor-evoked potentials (MEPs) were analyzed offline to generate map characteristics of area, volume, center of gravity (COG), and hotspot magnitude. Subsets of each outcome corresponding to 75%, 50%, and 25% of each map were determined. Reliability measures including intraclass correlation coefficient (ICC), minimal detectable change (MDC), and standard error of measure (SEM) were calculated. Map volume, COG, and hotspot magnitude were the most reliable measures (good-to-excellent) over both short- and long-term sessions. Map area reliability was poor-to-moderate for short- and long-term sessions. Smaller map percentile subsets showed decreased variability but only minimal improvements in reliability. MDC for most outcomes was >50%. Procedures were well tolerated with no serious adverse events. Robotic TMS motor mapping is relatively reliable over time, but careful consideration of specific outcomes is required for this method to interrogate plasticity in the human motor system.NEW & NOTEWORTHY Robotic transcranial magnetic stimulation (TMS) is a noninvasive and safe tool that produces cortical motor maps-individualized representations of the primary motor cortex (M1) topography-that may reflect developmental and interventional plasticity. This study is the first to evaluate short- and long-term relative and absolute reliability of TMS mapping outcomes at various M1 excitability levels using novel robotic neuronavigated TMS.

Entities:  

Keywords:  cortical motor mapping; neurophysiology; noninvasive brain stimulation; reliability; robotic transcranial magnetic stimulation

Year:  2020        PMID: 33146067     DOI: 10.1152/jn.00527.2020

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  5 in total

Review 1.  Transcranial Magnetic Stimulation in the Treatment of Neurological Diseases.

Authors:  Fahad A Somaa; Tom A de Graaf; Alexander T Sack
Journal:  Front Neurol       Date:  2022-05-20       Impact factor: 4.086

2.  Robotic transcranial magnetic stimulation motor maps and hand function in adolescents.

Authors:  Adrianna Giuffre; Ephrem Zewdie; Helen L Carlson; James G Wrightson; Hsing-Ching Kuo; Lauran Cole; Adam Kirton
Journal:  Physiol Rep       Date:  2021-04

3.  Differences in neurometabolites and transcranial magnetic stimulation motor maps in children with attention-deficit/hyperactivity disorder.

Authors:  Cynthia K Kahl; Rose Swansburg; Tasmia Hai; James G Wrightson; Tiffany Bell; Jean-François Lemay; Adam Kirton; Frank P MacMaster
Journal:  J Psychiatry Neurosci       Date:  2022-07-06       Impact factor: 5.699

4.  Active versus resting neuro-navigated robotic transcranial magnetic stimulation motor mapping.

Authors:  Cynthia K Kahl; Adrianna Giuffre; James G Wrightson; Adam Kirton; Elizabeth G Condliffe; Frank P MacMaster; Ephrem Zewdie
Journal:  Physiol Rep       Date:  2022-06

5.  Robotic mapping of motor cortex in children with perinatal stroke and hemiparesis.

Authors:  Hsing-Ching Kuo; Ephrem Zewdie; Adrianna Giuffre; Liu Shi Gan; Helen L Carlson; James Wrightson; Adam Kirton
Journal:  Hum Brain Mapp       Date:  2022-04-22       Impact factor: 5.399

  5 in total

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