Non-Linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson’s Disease from Healthy Individuals

Non-Linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson’s Disease from Healthy Individuals

The pathophysiology of Parkinson’s disease (PD) is known to involve altered patterns of neuronal firing and synchronization in cortical-basal ganglia circuits. We used delay differential equations (DDE) as non-linear time-domain classification tools to analyze electroencephalographic (EEG) recording...

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Bibliographic Details
Main Authors: Claudia eLainscsek, Manuel E. Hernandez, Jonathan eWeyhenmeyer, Terrence J Sejnowski, Howard ePoizner
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-12-01
Series:Frontiers in Neurology
Subjects:
Classification
Electroencephalography
Parkinson's disease
dopamine-replacement
non-linear dynamical analysis
Online Access:http://journal.frontiersin.org/Journal/10.3389/fneur.2013.00200/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fneur.2013.00200/full

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