Online prediction of self-paced hand-movements from subthalamic activity using neural networks in Parkinson's disease.

Journal article

The significance of local field potential (LFP) activity in the subthalamic nucleus (STN) of patients with Parkinson's disease is unclear. Here we show that it is possible to predict self-paced hand-movements from the oscillatory nature of the STN LFP on a trial-by-trial basis. To this end we used a neural networks' classification algorithm on features representing different measures of spectral activity. Our experiments were simulated to process online LFP signal recordings collected beforeh...

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Authors: Loukas, C; Brown, P

• Publication status: Published
• Journal: Journal of neuroscience methods
• Volume: 137
• Issue: 2
• Pages: 193-205
• Publication date: 2004-08-01
• DOI: 10.1016/j.jneumeth.2004.02.017
• EISSN: 1872-678X
• ISSN: 0165-0270
• Language: English
• Keywords: Humans; Entropy; Neural Networks (Computer); ROC Curve; Algorithms; Movement; Adult; Electric Stimulation Therapy; Microelectrodes; Male; Hand; Aged; Action Potentials; Predictive Value of Tests; Parkinson Disease; Middle Aged; Subthalamic Nucleus; Female