Literature DB >> 20035749

Time dependent subthalamic local field potential changes after DBS surgery in Parkinson's disease.

Manuela Rosa1, Sara Marceglia, Domenico Servello, Guglielmo Foffani, Lorenzo Rossi, Marco Sassi, Simona Mrakic-Sposta, Roberta Zangaglia, Claudio Pacchetti, Mauro Porta, Alberto Priori.   

Abstract

Local field potentials (LFPs) recorded through electrodes implanted in patients with Parkinson's disease (PD) for deep brain stimulation (DBS) provided physiological information about the human basal ganglia. However, LFPs were always recorded 2-7 days after electrode implantation ("acute" condition). Because changes in the tissue surrounding the electrode occur after DBS surgery and could be relevant for LFPs, in this work we assessed whether impedance and LFP pattern are a function of the time interval between the electrode implant and the recordings. LFPs and impedances were recorded from 11 patients with PD immediately after (T-0h), 2 h after (T-2h), 2 days after (T-48h), and 1 month after (T-30d, "chronic" condition) surgery. Impedances at T-0h were significantly higher than at all the other time intervals (T-2h, p=0.0005; T-48h, p=0.0002; T-30d, p=0.003). Correlated with this change (p=0.005), the low-frequency band (2-7 Hz) decreased at all time intervals (p=0.0005). Conversely, the low- (8-20 Hz) and the high-beta (21-35 Hz) bands increased in time (low-beta, p=0.003; high beta, p=0.022), but did not change between T-48h and T-30d. Our results suggest that DBS electrode impedance and LFP pattern are a function of the time interval between electrode implant and LFP recordings. Impedance decrease could be related to changes in the electrode/tissue interface and in the low-frequency band. Conversely, beta band modulations could raise from the adaptation of the neural circuit. These findings confirm that results from LFP analysis in the acute condition can be extended to the chronic condition and that LFPs can be used in novel closed-loop DBS systems. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20035749     DOI: 10.1016/j.expneurol.2009.12.013

Source DB:  PubMed          Journal:  Exp Neurol        ISSN: 0014-4886            Impact factor:   5.330


  22 in total

1.  Variation in deep brain stimulation electrode impedance over years following electrode implantation.

Authors:  David Satzer; David Lanctin; Lynn E Eberly; Aviva Abosch
Journal:  Stereotact Funct Neurosurg       Date:  2014-02-06       Impact factor: 1.875

2.  Analysis of deep brain stimulation electrode characteristics for neural recording.

Authors:  Alexander R Kent; Warren M Grill
Journal:  J Neural Eng       Date:  2014-06-12       Impact factor: 5.379

3.  Temporal macrodynamics and microdynamics of the postoperative impedance at the tissue-electrode interface in deep brain stimulation patients.

Authors:  C Lungu; P Malone; T Wu; P Ghosh; B McElroy; K Zaghloul; T Patterson; M Hallett; Z Levine
Journal:  J Neurol Neurosurg Psychiatry       Date:  2013-11-11       Impact factor: 10.154

4.  Subthalamic local field potentials in Parkinson's disease and isolated dystonia: An evaluation of potential biomarkers.

Authors:  Doris D Wang; Coralie de Hemptinne; Svjetlana Miocinovic; Salman E Qasim; Andrew M Miller; Jill L Ostrem; Nicholas B Galifianakis; Marta San Luciano; Philip A Starr
Journal:  Neurobiol Dis       Date:  2016-02-14       Impact factor: 5.996

5.  Longitudinal analysis of local field potentials recorded from directional deep brain stimulation lead implants in the subthalamic nucleus.

Authors:  AnneMarie K Brinda; Alex M Doyle; Madeline Blumenfeld; Jordan Krieg; Joseph S R Alisch; Chelsea Spencer; Emily Lecy; Lucius K Wilmerding; Adele DeNicola; Luke A Johnson; Jerrold L Vitek; Matthew D Johnson
Journal:  J Neural Eng       Date:  2021-05-13       Impact factor: 5.379

6.  Investigation of deep brain stimulation mechanisms during implantable pulse generator replacement surgery.

Authors:  Brandon D Swan; Warren M Grill; Dennis A Turner
Journal:  Neuromodulation       Date:  2013-10-07

7.  Optimizing a rodent model of Parkinson's disease for exploring the effects and mechanisms of deep brain stimulation.

Authors:  Karl Nowak; Eilhard Mix; Jan Gimsa; Ulf Strauss; Kiran Kumar Sriperumbudur; Reiner Benecke; Ulrike Gimsa
Journal:  Parkinsons Dis       Date:  2011-04-05

8.  Using "smart stimulators" to treat Parkinson's disease: re-engineering neurostimulation devices.

Authors:  Julien Modolo; Anne Beuter; Alex W Thomas; Alexandre Legros
Journal:  Front Comput Neurosci       Date:  2012-09-21       Impact factor: 2.380

9.  Theoretical analysis of the local field potential in deep brain stimulation applications.

Authors:  Scott F Lempka; Cameron C McIntyre
Journal:  PLoS One       Date:  2013-03-28       Impact factor: 3.240

10.  What brain signals are suitable for feedback control of deep brain stimulation in Parkinson's disease?

Authors:  Simon Little; Peter Brown
Journal:  Ann N Y Acad Sci       Date:  2012-07-25       Impact factor: 5.691

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