Neural Coupling FDI Motor Units: High-Density EMG Data for Hand Task Analysis

Motor unit spike train data from the first dorsal interosseous muscle, decomposed from high-density surface electromyograms. The dataset, 292.6 MB in size, was created by INcEPTION and last updated in April 2026 to examine neural coupling during index finger flexion and precision pinch tasks. It includes files in PDF, M, and H5 formats and is licensed under CC-BY-4.0.

Use Cases

• Quantify linear common oscillatory inputs between motor units based on coherence analysis and Proportion of Common Input (PCI).
• Analyze nonlinear interactions between motor unit spike trains based on mutual information–based network analysis.
• Compare neural coupling patterns based on data from isolated index finger flexion versus precision pinch tasks.
• Validate motor unit decomposition and tracking algorithms based on high-density surface electromyogram data.

Strengths

• Dataset size is 292.6 MB, indicating a medium-scale data collection.
• Data was processed using a specific, peer-reviewed algorithm for motor unit decomposition.
• Applies complementary analytical approaches (Coherence, PCI, Mutual Information) to characterize neural coupling.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect methodological bias inherent to the specific experimental setup and decomposition algorithm.

Provenance

Source

figshare

Collection Method

Motor units were decomposed from high-density surface electromyograms detected from the FDI muscle using a specific algorithm and tracked across tasks.

Time Range

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Freshness

Last updated 2026-04-09 12:18:44; freshness should be verified

Geography

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