Unraveling the neural signatures: Distinct pallidal patterns in dystonia subtypes.

Introduction: Dystonia manifests as slow twisting movements (pure dystonia) or repetitive, jerky motions (jerky dystonia). Dystonia can coexist with myoclonus (myoclonus dystonia) or tremor (tremor dystonia). Each of these presentations can have distinct etiology, can involve discrete sensorimotor networks, and may have characteristic neurophysiological signature.

Pallidal multifractal complexity is a new potential physiomarker of dystonia.

Objective: Low-frequency 4-12 Hz pallidal oscillations are being considered as potential physiomarkers for dystonia. We suggest investigating the multifractal properties of pallidal activity as an additional marker.

Methods: We employed local field potentials (LFP) recordings from 23 patients with dystonia who were undergoing deep brain stimulation (DBS) surgery to explore the connection between disease severity and the multifractal characteristics of pallidal activity.

DYT1 dystonia: Neurophysiological properties of the pallidal activity.

Objectives: The aim of this paper is to find the differences in the physiology of the pallidal neurons in DYT1 and non-DYT1 dystonia.

Methods: We performed microelectrode recording of the single unit activity in both segments of the globus pallidus during stereotactic implantation of electrodes for deep brain stimulation (DBS).

Results: We found a reduced firing rate, reduced burst rate, and increased pause index in both pallidal segments in DYT1.

Electrical, Hemodynamic, and Motor Activity in BCI Post-stroke Rehabilitation: Clinical Case Study.

The goal of the paper is to present an example of integrated analysis of electrical, hemodynamic, and motor activity accompanying the motor function recovery in a post-stroke patient having an extensive cortical lesion. The patient underwent a course of neurorehabilitation assisted with the hand exoskeleton controlled by brain-computer interface based on kinesthetic motor imagery. The BCI classifier was based on discriminating covariance matrices of EEG corresponding to motor imagery.