Literature DB >> 28113981

A Method for Removal of Deep Brain Stimulation Artifact From Local Field Potentials.

Xing Qian, Yue Chen, Yuan Feng, Bozhi Ma, Hongwei Hao, Luming Li.   

Abstract

This paper presents a signal processing method for the electrophysiology simultaneously recorded during deep brain stimulation (DBS) as a research tool. Regarding the local field potential (LFP) signals recorded during stimulation, a novel method was proposed for removal of stimulation artifacts caused by the much stronger stimulating pulse compared to typical LFP. This artifact suppression method was tested and evaluated in an in vitro situation. The results indicate that the stimulation artifacts are well suppressed by this method. Secondly, this method was tested in vivo in Parkinson's disease (PD) patients. It was used to process the LFP signals recorded intraoperatively from PD patients to preliminarily explore the quantitative dependencies of beta band synchronization variations in the subthalamic nucleus (STNs) on the applied DBS parameters, including stimulation voltage, frequency and pulse width. The results confirm that DBS therapy can suppress excessive beta frequency activity and that the degree of attenuation increases with increasing DBS voltage within a range of 1-3 V and increasing DBS frequency within a range of 60-120 Hz. The proposed artifact suppression method provides technical support for exploring the direct effect of electrical stimulation on the brain activities.

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Year:  2016        PMID: 28113981     DOI: 10.1109/TNSRE.2016.2613412

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  11 in total

1.  Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method.

Authors:  Evan M Dastin-van Rijn; Nicole R Provenza; Jonathan S Calvert; Ro'ee Gilron; Anusha B Allawala; Radu Darie; Sohail Syed; Evan Matteson; Gregory S Vogt; Michelle Avendano-Ortega; Ana C Vasquez; Nithya Ramakrishnan; Denise N Oswalt; Kelly R Bijanki; Robert Wilt; Philip A Starr; Sameer A Sheth; Wayne K Goodman; Matthew T Harrison; David A Borton
Journal:  Cell Rep Methods       Date:  2021-06-01

2.  Automatic Sleep Stage Classification Based on Subthalamic Local Field Potentials.

Authors:  Yue Chen; Chen Gong; Hongwei Hao; Yi Guo; Shujun Xu; Yuhuan Zhang; Guoping Yin; Xin Cao; Anchao Yang; Fangang Meng; Jingying Ye; Hesheng Liu; Jianguo Zhang; Yanan Sui; Luming Li
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-01-01       Impact factor: 3.802

3.  SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals.

Authors:  Marcos Fabietti; Mufti Mahmud; Ahmad Lotfi; M Shamim Kaiser; Alberto Averna; David J Guggenmos; Randolph J Nudo; Michela Chiappalone; Jianhui Chen
Journal:  Brain Inform       Date:  2021-07-20

4.  A high-performance 4 nV (√Hz)-1 analog front-end architecture for artefact suppression in local field potential recordings during deep brain stimulation.

Authors:  Konstantinos Petkos; Thomas Guiho; Patrick Degenaar; Andrew Jackson; Peter Brown; Timothy Denison; Emmanuel M Drakakis
Journal:  J Neural Eng       Date:  2019-10-09       Impact factor: 5.379

5.  Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies.

Authors:  Vinata Vedam-Mai; Karl Deisseroth; James Giordano; Gabriel Lazaro-Munoz; Winston Chiong; Nanthia Suthana; Jean-Philippe Langevin; Jay Gill; Wayne Goodman; Nicole R Provenza; Casey H Halpern; Rajat S Shivacharan; Tricia N Cunningham; Sameer A Sheth; Nader Pouratian; Katherine W Scangos; Helen S Mayberg; Andreas Horn; Kara A Johnson; Christopher R Butson; Ro'ee Gilron; Coralie de Hemptinne; Robert Wilt; Maria Yaroshinsky; Simon Little; Philip Starr; Greg Worrell; Prasad Shirvalkar; Edward Chang; Jens Volkmann; Muthuraman Muthuraman; Sergiu Groppa; Andrea A Kühn; Luming Li; Matthew Johnson; Kevin J Otto; Robert Raike; Steve Goetz; Chengyuan Wu; Peter Silburn; Binith Cheeran; Yagna J Pathak; Mahsa Malekmohammadi; Aysegul Gunduz; Joshua K Wong; Stephanie Cernera; Wei Hu; Aparna Wagle Shukla; Adolfo Ramirez-Zamora; Wissam Deeb; Addie Patterson; Kelly D Foote; Michael S Okun
Journal:  Front Hum Neurosci       Date:  2021-04-19       Impact factor: 3.169

6.  Removal of Electrocardiogram Artifacts From Local Field Potentials Recorded by Sensing-Enabled Neurostimulator.

Authors:  Yue Chen; Bozhi Ma; Hongwei Hao; Luming Li
Journal:  Front Neurosci       Date:  2021-04-12       Impact factor: 4.677

Review 7.  Past, Present, and Future of Deep Brain Stimulation: Hardware, Software, Imaging, Physiology and Novel Approaches.

Authors:  Jessica Frey; Jackson Cagle; Kara A Johnson; Joshua K Wong; Justin D Hilliard; Christopher R Butson; Michael S Okun; Coralie de Hemptinne
Journal:  Front Neurol       Date:  2022-03-09       Impact factor: 4.003

8.  An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299.

Authors:  Usman Rashid; Imran Khan Niazi; Nada Signal; Denise Taylor
Journal:  Sensors (Basel)       Date:  2018-11-01       Impact factor: 3.576

9.  A New Implantable Closed-Loop Clinical Neural Interface: First Application in Parkinson's Disease.

Authors:  Mattia Arlotti; Matteo Colombo; Andrea Bonfanti; Tomasz Mandat; Michele Maria Lanotte; Elena Pirola; Linda Borellini; Paolo Rampini; Roberto Eleopra; Sara Rinaldo; Luigi Romito; Marcus L F Janssen; Alberto Priori; Sara Marceglia
Journal:  Front Neurosci       Date:  2021-12-07       Impact factor: 4.677

10.  Artefact-free recording of local field potentials with simultaneous stimulation for closed-loop Deep-Brain Stimulation.

Authors:  Jean Debarros; Lea Gaignon; Shenghong He; Alek Pogosyan; Moaad Benjaber; Timothy Denison; Peter Brown; Huiling Tan
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2020-07
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