Deep brain stimulation of the globus pallidus internus is an effective symptomatic treatment for pharmacoresistant dystonic syndromes, where pathophysiological mechanisms of action are not yet fully understood. The aim of this review article is to provide an overview of state-of-the-art approaches for processing microelectrode recordings in dystonia; in order to define biomarkers to identify patients who will benefit from clinical deep brain stimulation. For this purpose, the essential elements of microelectrode processing are examined. Next, we investigate a real example of spike sorting processing in this field. Herein, we describe baseline elements of microrecording processing including data collection, preprocessing phase, features computation, spike detection and sorting and finally, advanced spike train data analysis. This study will help readers acquire the necessary information about these elements and their associated techniques. Thus, this study is supposed to assist during identification and proposal of interesting clinical hypotheses in the field of single unit neuronal recordings in dystonia

Department of Biomedical Informatics Faculty of Biomedical Engineering Czech Technical University Prague Kladno Czech Republic

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