High-gamma band activity of primary hand cortical areas: A sensorimotor feedback efficiency index

Franca Tecchio, Filippo Zappasodi, Camillo Porcaro, Giulia Barbati, Giovanni Assenza, Carlo Salustri, Paolo Maria Rossini

Research output: Contribution to journalArticle

Abstract

Sensory feedback in motor control is widely recognized to be the key link between the activity of the primary motor cortex to the motor behavior. Through an ad-hoc developed procedure for source extraction (functional source separation), the primary sensory and motor cortex activities (FSS1 and FSM1) were obtained from magnetoencephalographic recordings during a sensorimotor task sequence, and sensorimotor interaction was assessed. Source activity spectral powers were evaluated in the alpha (8-13 Hz), beta (14-32 Hz), gamma1 (33-60 Hz) and gamma2 (61-90 Hz) frequency bands. FSS1 and FSM1had different spectral properties, with FSS1 prevailing in alpha and FSM1 in gamma band. Both FSS1 and FSM1 were reactive in the different sensorimotor tasks with respect to rest in all frequency bands, except for gamma2. During an isometric contraction, we searched for an index dependent on the performance level and with low variability in the healthy population. We found these properties satisfied within a relationship between FSS1 and FSM1 in the gamma2 band. This sensorimotor feedback efficiency index quantitatively estimates the continuous functional balance between primary sensory and motor areas devoted to hand control and seems promising for future developments, as it is easily assessable in patients.

Original languageEnglish
Pages (from-to)256-264
Number of pages9
JournalNeuroImage
Volume40
Issue number1
DOIs
Publication statusPublished - Mar 1 2008

Keywords

  • Functional source separation (FSS)
  • M1 and S1 source activity
  • Magnetoencephalography (MEG)
  • Sensorimotor feedback

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Fingerprint Dive into the research topics of 'High-gamma band activity of primary hand cortical areas: A sensorimotor feedback efficiency index'. Together they form a unique fingerprint.

  • Cite this