Fig. 5: The method to compute the 2D spatiotemporal spike-centered average, st-SCA(r, τ) allows for a detailed visualization of spatial and temporal components for Patient 1. | Communications Biology

Fig. 5: The method to compute the 2D spatiotemporal spike-centered average, st-SCA(r, τ) allows for a detailed visualization of spatial and temporal components for Patient 1.

From: Spatiotemporal spike-centered averaging reveals symmetry of temporal and spatial components of the spike-LFP relationship during human focal seizures

Fig. 5

a The Cartesian coordinates \((\xi ,\psi )\) from the 3D st-SCA are converted into polar coordinates \((r,\,\theta )\), resulting in a 2D st-SCA. b A color representation of st-SCA\((r,\tau )\). The temporal component of the st-SCA\((\tau )\) (black trace) is obtained by the sum of st-SCA\(\left(r,\tau \right)\) over \(r\) (same as the signal in Fig. 4e). Amplitude and color scales are in μV. c Detail of the central part of (b). The left margin shows the resulting wave from summation over time, generating the spatial component of st-SCA. The blue arrows on the left indicate the distance (~2.5 mm) between the peaks seen in this function. The bottom margin depicts the resulting wave from summation over space, generating the temporal component of the st-SCA.

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