cogpy.brainstates.EMG

Watson & Buzsaki Network Homeostasis and State Dynamics of Neocortical Sleep 2016, J Neuron

from Methods: (( Electromyogram (EMG) from the neck, jaw and face muscles was extracted from the intracranially recorded signals by detecting the zero time-lag correlation coefficients (r) between 300-600 Hz filtered signals (using a Butterworth filter at 300 – 600 Hz with filter shoulders spanning to 275 – 625 Hz) recorded at different sites (Schomburg et al., 2014). Pairwise Pearson correlations were calculated between pairs of channels that were a minimum of two shanks away from each other (400 µm). One high-quality channel per shank was randomly nominated for pairing. The mean of all pairwise correlations measured in each 0.5-second bin was calculated and recorded as an EMG score. A high correlation between intracranially derived and direct EMG recordings were reported previously (Schomburg et al., 2014). In our dataset, intracranial EMG was found to co- vary reliably highly with motion and accelerometer measures. In cases where EMG and motion detection measures differed, video recordings were examined for movement. For example, chewing movements resulted in strong EMG activity but no translocation of the head. ))

Functions

compute_emg_proxy(x_data, fs, coords_df, ...)
running_corrcoef(xsig_flat, window_size, ...)
select_distant_channel_pairs(...[, min_distance])	Return a definitive (deterministic) boolean mask over ALL channel pairs whose Euclidean distance (in µm) is >= min_distance.
synthetic_data()