Rat forelimb movement components segregated by corticospinal tract activity

Sinan Gok, Mesut Sahin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The corticospinal tract (CST) is one of the descending tracts that carry the forelimb volitional information. Using flexible multi-electrode arrays (MEAs), the CST signals were recorded in rats during active and resting states. The power spectral density (PSD) of CST signals during the active state were notably higher than those observed during resting or anesthesia. Average inter-channel coherences below 30 Hz were considerably higher for reach-to-pull task compared to face grooming and the quiet state, suggesting the presence of volitional information in the recorded CST signals. A novel feature extraction technique (spectrum of cross-spectrum) was applied to obtain feature vectors and used in a classification algorithm. The extension and flexion phases of the forelimb movements were classified with 95% accuracy. The results warrant further investigations for extraction of more detailed volitional motor control information from the CST signals.

Original languageEnglish (US)
Title of host publication8th International IEEE EMBS Conference on Neural Engineering, NER 2017
PublisherIEEE Computer Society
Pages312-315
Number of pages4
ISBN (Electronic)9781538619162
DOIs
StatePublished - Aug 10 2017
Event8th International IEEE EMBS Conference on Neural Engineering, NER 2017 - Shanghai, China
Duration: May 25 2017May 28 2017

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other8th International IEEE EMBS Conference on Neural Engineering, NER 2017
CountryChina
CityShanghai
Period5/25/175/28/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering

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