Journal article
Basal ganglia local field potentials: applications in the development of new deep brain stimulation devices for movement disorders
Expert review of medical devices, v 4(5), pp 605-614
01 Sep 2007
PMID: 17850195
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The analysis of neural rhythms measured in local field potentials (LFPs) through deep brain stimulation (DBS) electrodes have provided a new insight into brain mechanisms of information processing. The application of novel methodological approaches for LFP analysis is of key importance to uncover the complexity of such mechanisms, thereby clarifying the relationship between the LFP code and patient s clinical state. Thanks to a new device for recording artifact-free LFPs during high-frequency stimulation, DBS-induced neural rhythms modulations and their nonlinear features can be analyzed and used in the development of a new, adaptive DBS approach: the frequency, strength and site of DBS could be controlled, in a closed-loop system, through LFP-based variables obtained through the application of different methodological approaches.
Metrics
Details
- Title
- Basal ganglia local field potentials: applications in the development of new deep brain stimulation devices for movement disorders
- Creators
- Sara Marceglia - Fondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoLorenzo Rossi - Fondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoGuglielmo Foffani - Drexel UniversityAnnaMaria Bianchi - Università di Milano, Dipartimento di Scienze Neurologiche, Fondazione IRCCS Ospedale Policlinico, Milano, Italy. sara.marceglia@policlinico.mi.itSergio Cerutti - Politecnico di MilanoAlberto Priori - Ospedale Maggiore
- Publication Details
- Expert review of medical devices, v 4(5), pp 605-614
- Publisher
- Informa Healthcare
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000249914800006
- Scopus ID
- 2-s2.0-34848874780
- Other Identifier
- 991019353630404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Biomedical