eNeuroNeurosciencePeer-reviewed journal article
Variations in clustering of multielectrode local field potentials in the motor cortex of macaque monkeys during a reach-and-grasp task
Florian ChambellantiD, Ali Falaki, Ian Moreau-Debord, Robert M. FrenchiD, Eleonore SerranoiD, Stephan QuessyiD, Numa DancauseiD, Elizabeth ThomasiD
Abstract
There is experimental evidence of varying correlation among the elements of the neuromuscular system over the course of the reach-and-grasp task. Several neuromuscular disorders are accompanied by anomalies in muscular coupling during the task. The aim of this study was to investigate if modifications in correlations and clustering can be detected in the Local Field Potential (LFP) recordings of the motor cortex during the task. To this end, we analyzed the LFP recordings from a previously published study on monkeys which performed a reach-and-grasp task for targets with a vertical or horizontal orientation. LFP signals were recorded from the motor and premotor cortex of macaque monkeys as they performed the task. We found very robust changes in the correlations of the multielectrode LFP recordings which corresponded to task epochs. Mean LFP correlation increased significantly during reaching and then decreased during grasp. This pattern was very robust for both left and right arm reaches irrespective of target orientation. A hierarchical cluster analysis supported the same conclusion - a decreased number of clusters during reach followed by an increase for grasp. A sliding window computation of the number of clusters was performed to probe the predictive capacities of these LFP clusters for upcoming task events. For a very high percentage of trials (95.3%), there was a downturn in cluster number following the Pellet Drop (GO signal) which reached a minimum shortly preceding the Start of grasp, hence indicating that cluster analyses of LFP signals could provide online indications of the Start of grasp.
- organism: non-human primate
- assay: electronic health records
- research focus: clustering
- approach: statistical model
- Citations
- 2
- FWCI
- 0.48
- Field percentile
- top 40%
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