Literature DB >> 23518470

Somatotopic finger mapping using MEG: toward an optimal stimulation paradigm.

Shahab Jamali1, Bernhard Ross.   

Abstract

OBJECTIVE: In non-invasive somatotopic mapping based on neuromagnetic source analysis, the recording time can be shortened and accuracy improved by applying simultaneously vibrotactile stimuli at different frequencies to multiple body sites and recording multiple steady-state responses. This study compared the reliability of sensory evoked responses, source localization performance, and reproducibility of digit maps for three different stimulation paradigms.
METHODS: Vibrotactile stimuli were applied to the fingertip and neuromagnetic steady-state responses were recorded. Index and middle fingers were stimulated either sequentially in separate blocks, simultaneously at different frequencies, or in alternating temporal order within a block.
RESULTS: Response amplitudes were largest and source localization was most accurate between 21 and 23 Hz. Separation of adjacent digits was significant for all paradigms in all participants. Suppressive interactions occurred between simultaneously applied stimuli. However, when frequently alternating between stimulus sites, the higher stimulus novelty resulted in increased amplitudes and superior localization performance.
CONCLUSIONS: When receptive fields are strongly overlapping, the alternating stimulation is preferable over recording multiple steady state responses. SIGNIFICANCE: The new paradigm improved the measurement of the distance of somatotopic finger representation in human primary somatosensory cortex, which is an important metric for neuroplastic reorganization after learning and rehabilitation training.
Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  95% confidence interval; 95% confidence radius; ANOVA; CI(95); CR(95); D1; D2; Dipole modeling; ECD; EEG; Frequency tagging; GOF; ISI; ITI; I–S; L–M; MANOVA; MEG; Neuromagnetic source analysis; PCA; PSI; Pearson–Filon statistics; Primary somatosensory cortex; P–A; SEF; SI; SNR; SSR; Somatosensory steady-state response; Somatotopic organization; Vibrotactile stimulation; ZPF; analysis of variance; electroencephalography; equivalent current dipole; fMRI; functional magnetic resonance imaging; goodness of fit; index finger; inferior–superior; inter-stimulus interval; inter-train interval; lateral–medial; magnetoencephalography; middle finger; multivariate analysis of variance; posterior–anterior; pound per square inch; primary somatosensory cortex; principal component analysis; signal-to-noise ratio; somatosensory evoked magnetic field; steady-state response

Mesh:

Year:  2013        PMID: 23518470     DOI: 10.1016/j.clinph.2013.01.027

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


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