Literature DB >> 19163917

Spectral modulation of LFP activity in M1 during dexterous finger movements.

Mohsen Mollazadeh1, Vikram Aggarwal, Girish Singhal, Andrew Law, Adam Davidson, Marc Schieber, Nitish Thakor.   

Abstract

Recent studies have shown that cortical local field potentials (LFP) contain information about planning or executing hand movement. While earlier research has looked at gross motor movements, we investigate the spectral modulation of LFP activity and its dependence on recording location during dexterous motor actions. In this study, we recorded LFP activity from the primary motor cortex of a primate as it performed a fine finger manipulation task involving different switches. The event-related spectral perturbations (ERSP) in four different frequency bands were considered for the analysis; 4 Hz, 6-15 Hz, 17-40 Hz and 75-170 Hz. LFPs recorded from electrodes in the hand area showed the largest change in ERSP for the highest frequency band (75-170 Hz) (p 0.05), while LFPs recorded from electrodes placed more medially in the arm area showed the largest change in ERSP for the lowest frequency band (4 Hz) (p 0.05). Furthermore, the spectral information from the <4 Hz and 75-150 Hz frequency bands was used to successfully decode the three dexterous grasp movements with an average accuracy of up to 81%. Although previous research has shown that multi-unit neuronal activity can be used to decode fine motor movements, these results demonstrate that LFP activity can also be used to decode dexterous motor tasks. This has implications for future neuroprosthetic devices due to the robustness of LFP signals for chronic recording.

Mesh:

Year:  2008        PMID: 19163917     DOI: 10.1109/IEMBS.2008.4650414

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Evaluation of local field potential signals in decoding of visual attention.

Authors:  Zahra Seif; Mohammad Reza Daliri
Journal:  Cogn Neurodyn       Date:  2015-03-10       Impact factor: 5.082

2.  Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand.

Authors:  Soumyadipta Acharya; Matthew S Fifer; Heather L Benz; Nathan E Crone; Nitish V Thakor
Journal:  J Neural Eng       Date:  2010-05-20       Impact factor: 5.379

3.  Asynchronous decoding of grasp aperture from human ECoG during a reach-to-grasp task.

Authors:  Matthew S Fifer; Mohsen Mollazadeh; Soumyadipta Acharya; Nitish V Thakor; Nathan E Crone
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

4.  Optimizing the decoding of movement goals from local field potentials in macaque cortex.

Authors:  David A Markowitz; Yan T Wong; Charles M Gray; Bijan Pesaran
Journal:  J Neurosci       Date:  2011-12-14       Impact factor: 6.167

5.  Cortical control of object-specific grasp relies on adjustments of both activity and effective connectivity: a common marmoset study.

Authors:  Banty Tia; Mitsuaki Takemi; Akito Kosugi; Elisa Castagnola; Alberto Ansaldo; Takafumi Nakamura; Davide Ricci; Junichi Ushiba; Luciano Fadiga; Atsushi Iriki
Journal:  J Physiol       Date:  2017-09-02       Impact factor: 5.182

6.  Prediction of muscle activities from electrocorticograms in primary motor cortex of primates.

Authors:  Duk Shin; Hidenori Watanabe; Hiroyuki Kambara; Atsushi Nambu; Tadashi Isa; Yukio Nishimura; Yasuharu Koike
Journal:  PLoS One       Date:  2012-10-24       Impact factor: 3.240

  6 in total

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