Literature DB >> 28202569

Local vs. volume conductance activity of field potentials in the human subthalamic nucleus.

Odeya Marmor1, Dan Valsky1,2, Mati Joshua1,2, Atira S Bick1,3, David Arkadir3, Idit Tamir3,4, Hagai Bergman1,2, Zvi Israel3,4, Renana Eitan5,3,6.   

Abstract

Subthalamic nucleus field potentials have attracted growing research and clinical interest over the last few decades. However, it is unclear whether subthalamic field potentials represent locally generated neuronal subthreshold activity or volume conductance of the organized neuronal activity generated in the cortex. This study aimed at understanding of the physiological origin of subthalamic field potentials and determining the most accurate method for recording them. We compared different methods of recordings in the human subthalamic nucleus: spikes (300-9,000 Hz) and field potentials (3-100 Hz) recorded by monopolar micro- and macroelectrodes, as well as by differential-bipolar macroelectrodes. The recordings were done outside and inside the subthalamic nucleus during electrophysiological navigation for deep brain stimulation procedures (150 electrode trajectories) in 41 Parkinson's disease patients. We modeled the signal and estimated the contribution of nearby/independent vs. remote/common activity in each recording configuration and area. Monopolar micro- and macroelectrode recordings detect field potentials that are considerably affected by common (probably cortical) activity. However, bipolar macroelectrode recordings inside the subthalamic nucleus can detect locally generated potentials. These results are confirmed by high correspondence between the model predictions and actual correlation of neuronal activity recorded by electrode pairs. Differential bipolar macroelectrode subthalamic field potentials can overcome volume conductance effects and reflect locally generated neuronal activity. Bipolar macroelectrode local field potential recordings might be used as a biological marker of normal and pathological brain functions for future electrophysiological studies and navigation systems as well as for closed-loop deep brain stimulation paradigms.NEW & NOTEWORTHY Our results integrate a new method for human subthalamic recordings with a development of an advanced mathematical model. We found that while monopolar microelectrode and macroelectrode recordings detect field potentials that are considerably affected by common (probably cortical) activity, bipolar macroelectrode recordings inside the subthalamic nucleus (STN) detect locally generated potentials that are significantly different than those recorded outside the STN. Differential bipolar subthalamic field potentials can be used in navigation and closed-loop deep brain stimulation paradigms.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  bipolar recordings; deep brain stimulation; macroelectrode recordings; microelectrode recordings; neurophysiological navigation

Mesh:

Year:  2017        PMID: 28202569      PMCID: PMC5454468          DOI: 10.1152/jn.00756.2016

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  42 in total

1.  Modeling extracellular field potentials and the frequency-filtering properties of extracellular space.

Authors:  Claude Bédard; Helmut Kröger; Alain Destexhe
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

2.  Neocortical dynamics at multiple scales: EEG standing waves, statistical mechanics, and physical analogs.

Authors:  Lester Ingber; Paul L Nunez
Journal:  Math Biosci       Date:  2010-12-16       Impact factor: 2.144

3.  Real-time refinement of subthalamic nucleus targeting using Bayesian decision-making on the root mean square measure.

Authors:  Anan Moran; Izhar Bar-Gad; Hagai Bergman; Zvi Israel
Journal:  Mov Disord       Date:  2006-09       Impact factor: 10.338

Review 4.  Deep brain stimulation: new techniques.

Authors:  Marwan Hariz
Journal:  Parkinsonism Relat Disord       Date:  2014-01       Impact factor: 4.891

Review 5.  Grouping of brain rhythms in corticothalamic systems.

Authors:  M Steriade
Journal:  Neuroscience       Date:  2005-12-15       Impact factor: 3.590

Review 6.  Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations.

Authors:  Alberto Priori; Guglielmo Foffani; Lorenzo Rossi; Sara Marceglia
Journal:  Exp Neurol       Date:  2012-09-27       Impact factor: 5.330

7.  Pallidal versus subthalamic deep-brain stimulation for Parkinson's disease.

Authors:  Kenneth A Follett; Frances M Weaver; Matthew Stern; Kwan Hur; Crystal L Harris; Ping Luo; William J Marks; Johannes Rothlind; Oren Sagher; Claudia Moy; Rajesh Pahwa; Kim Burchiel; Penelope Hogarth; Eugene C Lai; John E Duda; Kathryn Holloway; Ali Samii; Stacy Horn; Jeff M Bronstein; Gatana Stoner; Philip A Starr; Richard Simpson; Gordon Baltuch; Antonio De Salles; Grant D Huang; Domenic J Reda
Journal:  N Engl J Med       Date:  2010-06-03       Impact factor: 91.245

8.  Risks of intracranial hemorrhage in patients with Parkinson's disease receiving deep brain stimulation and ablation.

Authors:  Hu Xiaowu; Jiang Xiufeng; Zhou Xiaoping; Hao Bin; Wang Laixing; Cao Yiqun; Liang Jinchuan; Jin Aiguo; Liu Jianmin
Journal:  Parkinsonism Relat Disord       Date:  2009-08-13       Impact factor: 4.891

9.  Subthalamic nucleus stimulation in severe obsessive-compulsive disorder.

Authors:  Luc Mallet; Mircea Polosan; Nematollah Jaafari; Nicolas Baup; Marie-Laure Welter; Denys Fontaine; Sophie Tezenas du Montcel; Jérôme Yelnik; Isabelle Chéreau; Christophe Arbus; Sylvie Raoul; Bruno Aouizerate; Philippe Damier; Stephan Chabardès; Virginie Czernecki; Claire Ardouin; Marie-Odile Krebs; Eric Bardinet; Patrick Chaynes; Pierre Burbaud; Philippe Cornu; Philippe Derost; Thierry Bougerol; Benoit Bataille; Vianney Mattei; Didier Dormont; Bertrand Devaux; Marc Vérin; Jean-Luc Houeto; Pierre Pollak; Alim-Louis Benabid; Yves Agid; Paul Krack; Bruno Millet; Antoine Pelissolo
Journal:  N Engl J Med       Date:  2008-11-13       Impact factor: 91.245

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

View more
  26 in total

1.  Subthalamic low-frequency oscillations predict vulnerability to cocaine addiction.

Authors:  Mickael Degoulet; Alix Tiran-Cappello; Etienne Combrisson; Christelle Baunez; Yann Pelloux
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-06       Impact factor: 11.205

2.  High-resolution local field potentials measured with deep brain stimulation arrays.

Authors:  Simeng Zhang; Allison T Connolly; Lauren R Madden; Jerrold L Vitek; Matthew D Johnson
Journal:  J Neural Eng       Date:  2018-04-13       Impact factor: 5.379

3.  Biophysical basis of subthalamic local field potentials recorded from deep brain stimulation electrodes.

Authors:  Nicholas Maling; Scott F Lempka; Zack Blumenfeld; Helen Bronte-Stewart; Cameron C McIntyre
Journal:  J Neurophysiol       Date:  2018-07-18       Impact factor: 2.714

4.  Desynchronization of slow oscillations in the basal ganglia during natural sleep.

Authors:  Aviv D Mizrahi-Kliger; Alexander Kaplan; Zvi Israel; Hagai Bergman
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-16       Impact factor: 11.205

5.  Ketamine induced converged synchronous gamma oscillations in the cortico-basal ganglia network of nonhuman primates.

Authors:  Maya Slovik; Boris Rosin; Shay Moshel; Rea Mitelman; Eitan Schechtman; Renana Eitan; Aeyal Raz; Hagai Bergman
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

6.  Beta burst coupling across the motor circuit in Parkinson's disease.

Authors:  Gerd Tinkhauser; Flavie Torrecillos; Yann Duclos; Huiling Tan; Alek Pogosyan; Petra Fischer; Romain Carron; Marie-Laure Welter; Carine Karachi; Wim Vandenberghe; Bart Nuttin; Tatiana Witjas; Jean Régis; Jean-Philippe Azulay; Alexandre Eusebio; Peter Brown
Journal:  Neurobiol Dis       Date:  2018-06-20       Impact factor: 5.996

7.  Modulation of Beta Bursts in the Subthalamic Nucleus Predicts Motor Performance.

Authors:  Flavie Torrecillos; Gerd Tinkhauser; Petra Fischer; Alexander L Green; Tipu Z Aziz; Thomas Foltynie; Patricia Limousin; Ludvic Zrinzo; Keyoumars Ashkan; Peter Brown; Huiling Tan
Journal:  J Neurosci       Date:  2018-09-04       Impact factor: 6.167

8.  Intra-operative characterisation of subthalamic oscillations in Parkinson's disease.

Authors:  Xinyi Geng; Xin Xu; Andreas Horn; Ningfei Li; Zhipei Ling; Peter Brown; Shouyan Wang
Journal:  Clin Neurophysiol       Date:  2018-02-27       Impact factor: 3.708

9.  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

10.  The Effect of Unilateral Subthalamic Nucleus Deep Brain Stimulation on Contralateral Subthalamic Nucleus Local Field Potentials.

Authors:  Harutomo Hasegawa; Petra Fischer; Huiling Tan; Alek Pogosyan; Michael Samuel; Peter Brown; Keyoumars Ashkan
Journal:  Neuromodulation       Date:  2020-04-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.