EEG and arm movement

Description

My internship report, summarizing the work done during my 6-month stay at the Swartz Center for Computational Neuroscience (University of California, San Diego).

This report summarizes preliminary results from a pilot experiment to study the interaction of proprioceptive and visual input in achieving precise arm movements. The goal of the present work is to prepare future experiments with Parkinson's disease patients that will help to better understand the role of basal ganglia in visual and proprioceptive input interaction. We analyze EEG recording of a healthy subject performing a reaching experiment with no visual input. We first investigate what kind of biases lead the subject to miss the target. Using Independent Component Analysis (ICA), time-frequency analysis and time-series warping, we identify preliminary movement-related dynamics. A potential inversion preceding movement was uncovered, and so were components with a different spectral behavior with respect to the target location and the original arm position.

File type

PDF document

Language

English

Available versions

	Published on	Size	Changes
	26/03/2006 @ 06h09	3.55 MB	Publication du document.