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Somatosensory dynamic gamma-band synchrony: A neural code of sensorimotor dexterity

Lookup NU author(s): Dr Sara Graziadio, Dr Camillo Porcaro

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Abstract

To investigate neural coding characteristics in the human primary somatosensory cortex, two fingers with different levels of functional skill were studied. Their dexterity was scored by the Fingertip writing test. Each finger was separately provided by a passive simple sensory stimulation and the responsiveness of each finger cortical representation was studied by a novel source extraction method applied to magnetoencephalographic signals recorded in a 14 healthy right handed subject cohort. In the two hemispheres, neural oscillatory activity synchronization was analysed in the three characteristic alpha, beta and gamma frequency bands by two dynamic measures, one isolating the phase locking between neural network components, the other reflecting the total number of synchronous recruited neurons. In the dominant hemisphere, the gamma band phase locking was higher for the thumb than for the little finger and it correlated with the contra-lateral finger dexterity. Neither in the dominant nor in the non-dominant hemisphere, any effect was observed in the alpha and beta bands. In the gamma band, the amplitude showed similar tendency to the phase locking, without reaching statistical significance. These findings suggest the dynamic gamma band phase locking as a code for finger dexterity, in addition to the magnification of somatotopic central maps. © 2006 Elsevier Inc. All rights reserved.


Publication metadata

Author(s): Tecchio F, Graziadio S, Barbati G, Sigismondi R, Zappasodi F, Porcaro C, Valente G, Balsi M, Rossini PM

Publication type: Article

Publication status: Published

Journal: NeuroImage

Year: 2007

Volume: 35

Issue: 1

Pages: 185-193

Print publication date: 01/03/2007

ISSN (print): 1053-8119

ISSN (electronic): 1095-9572

Publisher: Academic Press

URL: http://dx.doi.org/10.1016/j.neuroimage.2006.12.002

DOI: 10.1016/j.neuroimage.2006.12.002

PubMed id: 17234434


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