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Paper Abstract and Keywords
Presentation 2020-01-30 15:15
Evaluation of nerve response in a mouse model by temporal interference stimulation
Akihiro Asai, Gomez-Tames Jose, Akimasa Hirata (NITech) EST2019-88 Link to ES Tech. Rep. Archives: EST2019-88
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, there has been a growing interest in stimulating deeper brain tissue non-invasively while reducing unintended stimulation in superficial regions for medical treatment of brain disorders. The traditional methods for noninvasive brain stimulation (transcranial direct current stimulation or transcranial magnetic stimulation) can target deeper brain regions but with the cost of stimulating at the same time superficial regions. Recently, temporal interference (TI) stimulation has been proposed to enable stimulation of deeper brain regions selectively. TI generates a modulated envelope by superposing two slightly different alternating currents within the kHz range (carrier frequencies) that are injected through attached electrodes to the scalp. Previous studies have reported promising results in experiments using mice, but it has not yet been clarified the mechanism of activation. In this paper, we investigated the mechanism of activation by using a multiscale model that computes the generated interference current patters effects in a neural model. As a result, the threshold increased with the carrier frequency as the experimental study. It was also found that changing the intensity ratio between the alternating currents moved the location of the responding nerve in agreement with the experiments. We found that particular characteristics of the envelope may facilitate the interferential effects. The computational results showed that for a neuron driven by an interferential envelope with valley value close to zero was more determinant than peak-to-valley magnitude to estimate activation.
Keyword (in Japanese) (See Japanese page) 
(in English) tACS / transcranial Temporal Interference Stimulation / Mouse Model / Deep Brain Region / SPFD / Nerve Model / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 407, EST2019-88, pp. 51-56, Jan. 2020.
Paper # EST2019-88 
Date of Issue 2020-01-23 (EST) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF EST2019-88 Link to ES Tech. Rep. Archives: EST2019-88

Conference Information
Committee EST  
Conference Date 2020-01-30 - 2020-01-31 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu International Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Simulation Technique, etc. 
Paper Information
Registration To EST 
Conference Code 2020-01-EST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of nerve response in a mouse model by temporal interference stimulation 
Sub Title (in English)  
Keyword(1) tACS  
Keyword(2) transcranial Temporal Interference Stimulation  
Keyword(3) Mouse Model  
Keyword(4) Deep Brain Region  
Keyword(5) SPFD  
Keyword(6) Nerve Model  
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Keyword(8)  
1st Author's Name Akihiro Asai  
1st Author's Affiliation Nagoya Institue of Technology (NITech)
2nd Author's Name Gomez-Tames Jose  
2nd Author's Affiliation Nagoya Institue of Technology (NITech)
3rd Author's Name Akimasa Hirata  
3rd Author's Affiliation Nagoya Institue of Technology (NITech)
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Speaker Author-1 
Date Time 2020-01-30 15:15:00 
Presentation Time 25 minutes 
Registration for EST 
Paper # EST2019-88 
Volume (vol) vol.119 
Number (no) no.407 
Page pp.51-56 
#Pages
Date of Issue 2020-01-23 (EST) 


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