Literature DB >> 30374669

Design of NIRS Probe Based on Computational Model to Find Out the Optimal Location for Non-Invasive Brain Stimulation.

Gaurav Sharma1, Shubhajit Roy Chowdhury2.   

Abstract

The paper presents a computational model to analyse the electric field distribution on the cerebral cortex during high definition transcranial direct current stimulation (HD-tDCS) technique. The current research aims to improve the focality in term of magnitude of electric field (norm [E]) and magnitude of current density (norm [J]) in the gyri and sulci of white matter. The proposed computational model is used to predict the magnitude of current density and magnitude of electric field distribution generated across the target region of cerebral cortex for specific small size 1 × 1 cm2 multi-electrode HD-tDCS configurations. The current works aims at optimizing the number of electrodes and current density for multielectrode HD-tDCS configuration and weak current intensity is obtained by calculating surface area and penetration depth of target region of cerebral cortex. In terms of surface area and penetration depth 4 × 1 HD-tDCS and 2 mA weak dc current configuration has been selected. The optimized 4 × 1 HD-tDCS configuration is placed on target location of the brain surface and the changes in the magnitude of current density and magnitude of electric field distribution is calculated at the different locations on brain surface including scalp surface, skull surface gray matter and white matter surface. The variation in magnitude electric field distribution is seen in the cerebrospinal fluid (CSF), gray and white matter surface of target cerebral cortex. Based on the insights received from the variation in the magnitude of current density and magnitude of electric field distribution, the design of an appropriate NIRS probe has been proposed to aid in non-invasive brain stimulation. Designed NIRS probe is based on distance of separation between source and photodetector to cover the affected area with 4 × 1 HD-tDCS technique and measurement sensitivity distribution at gray matter surface of cerebral cortex. The estimated percentage of pixel area of measurement sensitivity distribution is 17.094%, which confirm to cover the 7.9384% distributed pixel area in term of calculated magnitude of current density affected with 4 × 1 HD-tDCS configuration.

Entities:  

Keywords:  Cerebrospinal fluid; Finite element analysis; High definition transcranial current stimulation; Magnetic resonance image; Near infrared spectroscopy; Non-invasive brain stimulation

Mesh:

Year:  2018        PMID: 30374669     DOI: 10.1007/s10916-018-1039-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  37 in total

1.  Predicted current densities in the brain during transcranial electrical stimulation.

Authors:  R N Holdefer; R Sadleir; M J Russell
Journal:  Clin Neurophysiol       Date:  2006-04-27       Impact factor: 3.708

2.  A proposed algorithm for the intraoperative use of cerebral near-infrared spectroscopy.

Authors:  André Denault; Alain Deschamps; John M Murkin
Journal:  Semin Cardiothorac Vasc Anesth       Date:  2007-12

3.  Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters.

Authors:  F F Jöbsis
Journal:  Science       Date:  1977-12-23       Impact factor: 47.728

4.  Modulation by applied electric fields of Purkinje and stellate cell activity in the isolated turtle cerebellum.

Authors:  C Y Chan; C Nicholson
Journal:  J Physiol       Date:  1986-02       Impact factor: 5.182

Review 5.  Transcranial direct current stimulation: State of the art 2008.

Authors:  Michael A Nitsche; Leonardo G Cohen; Eric M Wassermann; Alberto Priori; Nicolas Lang; Andrea Antal; Walter Paulus; Friedhelm Hummel; Paulo S Boggio; Felipe Fregni; Alvaro Pascual-Leone
Journal:  Brain Stimul       Date:  2008-07-01       Impact factor: 8.955

6.  Neurobiological effects of transcranial direct current stimulation: a review.

Authors:  Liciane Fernandes Medeiros; Izabel Cristina Custodio de Souza; Liliane Pinto Vidor; Andressa de Souza; Alícia Deitos; Magdalena Sarah Volz; Felipe Fregni; Wolnei Caumo; Iraci L S Torres
Journal:  Front Psychiatry       Date:  2012-12-28       Impact factor: 4.157

7.  Depth sensitivity and source-detector separations for near infrared spectroscopy based on the Colin27 brain template.

Authors:  Gary E Strangman; Zhi Li; Quan Zhang
Journal:  PLoS One       Date:  2013-08-01       Impact factor: 3.240

8.  Computational Pipeline for NIRS-EEG Joint Imaging of tDCS-Evoked Cerebral Responses-An Application in Ischemic Stroke.

Authors:  Debarpan Guhathakurta; Anirban Dutta
Journal:  Front Neurosci       Date:  2016-06-20       Impact factor: 4.677

Review 9.  Impact of Transcranial Direct Current Stimulation (tDCS) on Neuronal Functions.

Authors:  Suman Das; Peter Holland; Maarten A Frens; Opher Donchin
Journal:  Front Neurosci       Date:  2016-11-30       Impact factor: 4.677

10.  Transcranial Direct Current Stimulation (tDCS): A Beginner's Guide for Design and Implementation.

Authors:  Hayley Thair; Amy L Holloway; Roger Newport; Alastair D Smith
Journal:  Front Neurosci       Date:  2017-11-22       Impact factor: 4.677

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  3 in total

1.  Statistical Analysis to Find out the Optimal Locations for Non Invasive Brain Stimulation.

Authors:  Gaurav Sharma; Shubhajit Roy Chowdhury
Journal:  J Med Syst       Date:  2020-03-12       Impact factor: 4.460

2.  Functional Near-Infrared Spectroscopy as a Target Navigator for rTMS Modulation in Patients with Hemiplegia: A Randomized Control Study.

Authors:  Pang-Wei Chang; Chia-Feng Lu; Shin-Tsu Chang; Po-Yi Tsai
Journal:  Neurol Ther       Date:  2021-11-13

3.  Modulation of Interhemispheric Synchronization and Cortical Activity in Healthy Subjects by High-Definition Theta-Burst Electrical Stimulation.

Authors:  Van-Truong Nguyen; Chun-Wei Wu; Chien-An Chen; Chao-Chen Lo; Fu-Yu Chen; Chun-I Wu; Pi-Shan Sung; Chou-Ching Lin; Jia-Jin Chen
Journal:  Neural Plast       Date:  2022-04-29       Impact factor: 3.144

  3 in total

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