Source imaging of simple finger movements captured during auditory response tasks using space-time-frequency based sparsity constraints

Neural Information Flow during simple cognitive or motor actions is a significant research topic; one of which is a simple finger movement. In this paper, Electro-encephalograph (EEG) Source Imaging has been used to model the Neural Information flow, during performance of a simple Auditory Response Task (ART), specifically by employment of a space-time-frequency sparsity constrained based algorithm, namely, Spatio-temporal Unifying Tomography (STOUT). The estimated sources are then studied according to location defined based on Destrieux atlas. Then, relative power carried in each scout at each instant has been used to create a neural information flow map, which is then compared with sources computed with standardized low resolution brain electromagnetic tomography (sLORETA).

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