Journal article
Adaptive autoregressive identification with spectral power decomposition for studying movement-related activity in scalp EEG signals and basal ganglia local field potentials
Journal of neural engineering, v 1(3)
01 Sep 2004
PMID: 15876636
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We propose a method that combines adaptive autoregressive (AAR) identification and spectral power decomposition for the study of movement-related spectral changes in scalp EEG signals and basal ganglia local field potentials (LFPs). This approach introduces the concept of movement-related poles, allowing one to study not only the classical event-related desynchronizations (ERD) and synchronizations (ERS), which correspond to modulations of power, but also event-related modulations of frequency. We applied the method to analyze movement-related EEG signals and LFPs contemporarily recorded from the sensorimotor cortex, the globus pallidus internus (GPi) and the subthalamic nucleus (STN) in a patient with Parkinson's disease who underwent stereotactic neurosurgery for the implant of deep brain stimulation (DBS) electrodes. In the AAR identification we compared the whale and the exponential forgetting factors, showing that the whale forgetting provides a better disturbance rejection and it is therefore more suitable to investigate movement-related brain activity. Movement-related power modulations were consistent with previous studies. In addition, movement-related frequency modulations were observed from both scalp EEG signals and basal ganglia LFPs. The method therefore represents an effective approach to the study of movement-related brain activity.
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Details
- Title
- Adaptive autoregressive identification with spectral power decomposition for studying movement-related activity in scalp EEG signals and basal ganglia local field potentials
- Creators
- Guglielmo Foffani - Drexel UniversityAnna M. Bianchi - Politecnico di MilanoAlberto Priori - Ospedale MaggioreGiuseppe Baselli - Politecnico di Milano
- Publication Details
- Journal of neural engineering, v 1(3)
- Publisher
- Iop Publishing Ltd
- Number of pages
- 9
- Grant note
- National Parkinson Foundation, Miami, Florida (USA) Centro Dino Ferrari for Neurodegenerative Disorders Ministero dell'Universita e della Ricerca Scientifica e Tecnologica; Ministry of Education, Universities and Research (MIUR) Ministero della Sanita; Ministry of Health, Italy IRCCS Ospedale Maggiore di Milano
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000209671800006
- Scopus ID
- 2-s2.0-19044368997
- Other Identifier
- 991019353721704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical
- Neurosciences