Literature DB >> 23306037

Multiple frequency functional connectivity in the hand somatosensory network: an EEG study.

Camillo Porcaro1, Gianluca Coppola, Francesco Pierelli, Stefano Seri, Giorgio Di Lorenzo, Leo Tomasevic, Carlo Salustri, Franca Tecchio.   

Abstract

OBJECTIVE: To investigate the dynamics of communication within the primary somatosensory neuronal network.
METHODS: Multichannel EEG responses evoked by median nerve stimulation were recorded from six healthy participants. We investigated the directional connectivity of the evoked responses by assessing the Partial Directed Coherence (PDC) among five neuronal nodes (brainstem, thalamus and three in the primary sensorimotor cortex), which had been identified by using the Functional Source Separation (FSS) algorithm. We analyzed directional connectivity separately in the low (1-200 Hz, LF) and high (450-750 Hz, HF) frequency ranges.
RESULTS: LF forward connectivity showed peaks at 16, 20, 30 and 50 ms post-stimulus. An estimate of the strength of connectivity was modulated by feedback involving cortical and subcortical nodes. In HF, forward connectivity showed peaks at 20, 30 and 50 ms, with no apparent feedback-related strength changes.
CONCLUSIONS: In this first non-invasive study in humans, we documented directional connectivity across subcortical and cortical somatosensory pathway, discriminating transmission properties within LF and HF ranges. SIGNIFICANCE: The combined use of FSS and PDC in a simple protocol such as median nerve stimulation sheds light on how high and low frequency components of the somatosensory evoked response are functionally interrelated in sustaining somatosensory perception in healthy individuals. Thus, these components may potentially be explored as biomarkers of pathological conditions.
Copyright © 2012 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23306037     DOI: 10.1016/j.clinph.2012.12.004

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


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