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An electronic device for artefact suppression in human local field potential recordings during deep brain stimulation

Rossi L
•
Foffani G
•
Marceglia S
altro
Priori A
2007
  • journal article

Periodico
JOURNAL OF NEURAL ENGINEERING
Abstract
The clinical efficacy of high-frequency deep brain stimulation (DBS) for Parkinson's disease and other neuropsychiatric disorders likely depends on the modulation of neuronal rhythms in the target nuclei. This modulation could be effectively measured with local field potential (LFP) recordings during DBS. However, a technical drawback that prevents LFPs from being recorded from the DBS target nuclei during stimulation is the stimulus artefact. To solve this problem, we designed and developed 'FilterDBS', an electronic amplification system for artefact-free LFP recordings (in the frequency range 2-40 Hz) during DBS. After defining the estimated system requirements for LFP amplification and DBS artefact suppression, we tested the FilterDBS system by conducting experiments in vitro and in vivo in patients with advanced Parkinson's disease undergoing DBS of the subthalamic nucleus (STN). Under both experimental conditions, in vitro and in vivo, the FilterDBS system completely suppressed the DBS artefact without inducing significant spectral distortion. The FilterDBS device pioneers the development of an adaptive DBS system retroacted by LFPs and can be used in novel closed-loop brain-machine interface applications in patients with neurological disorders.
DOI
10.1088/1741-2560/4/2/010
WOS
WOS:000247947300016
Archivio
http://hdl.handle.net/11368/2945423
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-34247231076
Diritti
metadata only access
Soggetti
  • Brain Mapping

  • Deep Brain Stimulatio...

  • Diagnosis, Computer-A...

  • Female

  • Human

  • Male

  • Parkinson Disease

  • Reproducibility of Re...

  • Sensitivity and Speci...

  • Therapy, Computer-Ass...

  • Treatment Outcome

  • Artifact

  • Biotechnology

  • Bioengineering

  • Neuroscience (miscell...

Scopus© citazioni
92
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
98
Data di acquisizione
Mar 27, 2024
Visualizzazioni
1
Data di acquisizione
Apr 19, 2024
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