Literature DB >> 18424182

Movement related activity in the high gamma range of the human EEG.

Tonio Ball1, Evariste Demandt, Isabella Mutschler, Eva Neitzel, Carsten Mehring, Klaus Vogt, Ad Aertsen, Andreas Schulze-Bonhage.   

Abstract

Electrocorticographic (ECoG) recordings obtained using intracranially implanted electrodes in epilepsy patients indicate that high gamma band (HGB) activity of sensorimotor cortex is focally increased during voluntary movement. These movement related HGB modulations may play an important role in sensorimotor cortex function. It is however currently not clear to what extent this type of neural activity can be detected using non-invasive electroencephalography (EEG) and how similar HGB responses in healthy human subjects are to those observed in epilepsy patients. Using the same arm reaching task, we have investigated spectral power changes both in intracranial ECoG recordings in epilepsy patients and in non-invasive EEG recordings optimized for detecting HGB activity in healthy subjects. Our results show a common HGB response pattern both in ECoG and EEG recorded above the sensorimotor cortex contralateral to the side of arm movement. In both cases, HGB activity increased around movement onset in the 60-90 Hz range and became most pronounced at reaching movement end. Additionally, we found EEG HGB activity above the frontal midline possibly generated by the anterior supplementary motor area (SMA), a region that was however not covered by the intracranial electrodes used in the present study. In summary, our findings show that HGB activity from human sensorimotor cortex can be non-invasively detected in healthy subjects using EEG, opening a new perspective for investigating the role of high gamma range neuronal activity both in function and dysfunction of the human cortical sensorimotor network.

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Year:  2008        PMID: 18424182     DOI: 10.1016/j.neuroimage.2008.02.032

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  92 in total

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Review 8.  Brain-computer interfaces using sensorimotor rhythms: current state and future perspectives.

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10.  Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys.

Authors:  Zenas C Chao; Yasuo Nagasaka; Naotaka Fujii
Journal:  Front Neuroeng       Date:  2010-03-30
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