Novel Neural Microprobe with Adjustable Stiffness
To successfully insert a microprobe into the brain and record/stimulate the target neural tissue, it must meet two opposing requirements. Firstly, it must be stiff enough to tolerate the penetration force during insertion. Secondly, it must be compliant enough to withstand brain micromotion during o...
Saved in:
Published in | 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) pp. 1 - 4 |
---|---|
Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
24.04.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | To successfully insert a microprobe into the brain and record/stimulate the target neural tissue, it must meet two opposing requirements. Firstly, it must be stiff enough to tolerate the penetration force during insertion. Secondly, it must be compliant enough to withstand brain micromotion during operation, since a mechanical mismatch between the stiff microprobe and soft surrounding neural tissue leads to neural tissue damage and, ultimately, the failure of the microprobe within a few weeks/months of implantation. The design proposed in this study enables the creation of a neural microprobe whose elastic modulus varies from 4.2 GPa during insertion to 149 kPa during operation, as a function of the applied motion. The proposed mechanism for changing the stiffness works independently of the microprobe fabrication material and the surrounding environment's conditions. The microprobe and surrounding neural tissue are simulated to calculate the elastic modulus of the microprobe based on the finite element method and investigate the induced strain on the tissue by the brain longitudinal and lateral micromotions, simultaneously. The obtained results show that the maximum strain on the tissue surrounding the proposed microprobe is ~59 % less than that of the classic cylindrical microprobe with the same material, diameter, and length. The microprobe is fabricated based on two-photon polymerization technology. |
---|---|
AbstractList | To successfully insert a microprobe into the brain and record/stimulate the target neural tissue, it must meet two opposing requirements. Firstly, it must be stiff enough to tolerate the penetration force during insertion. Secondly, it must be compliant enough to withstand brain micromotion during operation, since a mechanical mismatch between the stiff microprobe and soft surrounding neural tissue leads to neural tissue damage and, ultimately, the failure of the microprobe within a few weeks/months of implantation. The design proposed in this study enables the creation of a neural microprobe whose elastic modulus varies from 4.2 GPa during insertion to 149 kPa during operation, as a function of the applied motion. The proposed mechanism for changing the stiffness works independently of the microprobe fabrication material and the surrounding environment's conditions. The microprobe and surrounding neural tissue are simulated to calculate the elastic modulus of the microprobe based on the finite element method and investigate the induced strain on the tissue by the brain longitudinal and lateral micromotions, simultaneously. The obtained results show that the maximum strain on the tissue surrounding the proposed microprobe is ~59 % less than that of the classic cylindrical microprobe with the same material, diameter, and length. The microprobe is fabricated based on two-photon polymerization technology. |
Author | Sharafkhani, Naser Adams, Scott D. Long, John M. Kouzani, Abbas Z. |
Author_xml | – sequence: 1 givenname: Naser surname: Sharafkhani fullname: Sharafkhani, Naser email: n.sharafkhani@deakin.edu.au organization: School of Engineering, Deakin University,Geelong,VIC,Australia,3216 – sequence: 2 givenname: John M. surname: Long fullname: Long, John M. email: john.long@deakin.edu.au organization: School of Engineering, Deakin University,Geelong,VIC,Australia,3216 – sequence: 3 givenname: Scott D. surname: Adams fullname: Adams, Scott D. email: scott.adams@deakin.edu.au organization: School of Engineering, Deakin University,Geelong,VIC,Australia,3216 – sequence: 4 givenname: Abbas Z. surname: Kouzani fullname: Kouzani, Abbas Z. email: kouzani@deakin.edu.au organization: School of Engineering, Deakin University,Geelong,VIC,Australia,3216 |
BookMark | eNo1j91KwzAYQKMoOGffQKQv0JrvS9Ikl2PMKcwK_lyPJP2CGbUdbaf49g7Uq3N3OOeSnXV9R4zdAC8BuL2tV88KJUKJHEUJHFBohBOWWW2gqpSs0CKcshlYaQqhlLxg2TjuOOcCuQRrZgzq_pPavKbD4Nr8MYWh3w-9p_wrTe_5otkdxsn5lvKXKcXY0ThesfPo2pGyP87Z293qdXlfbJ7WD8vFpkhH91RYCtZE1MFgpb1THsgHEbhtnA1OO44UwXquSEd17IPYGGW4NCoQeuXFnF3_ehMRbfdD-nDD9_b_UvwAunNH8Q |
ContentType | Conference Proceeding |
DBID | 6IE 6IL CBEJK RIE RIL |
DOI | 10.1109/NER52421.2023.10123721 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library Online IEEE Proceedings Order Plans (POP All) 1998-Present |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library Online url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
EISBN | 9781665462921 1665462922 |
EISSN | 1948-3554 |
EndPage | 4 |
ExternalDocumentID | 10123721 |
Genre | orig-research |
GrantInformation_xml | – fundername: ANFF funderid: 10.13039/100008015 |
GroupedDBID | 6IE 6IF 6IL 6IN ABLEC ADZIZ ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK OCL RIE RIL |
ID | FETCH-LOGICAL-i204t-9ec98f27c8267ba5b1ebc3c09da9ca7a02ef19b05e7f59481fd8580485ce2b5b3 |
IEDL.DBID | RIE |
IngestDate | Wed Jun 26 19:28:32 EDT 2024 |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-i204t-9ec98f27c8267ba5b1ebc3c09da9ca7a02ef19b05e7f59481fd8580485ce2b5b3 |
PageCount | 4 |
ParticipantIDs | ieee_primary_10123721 |
PublicationCentury | 2000 |
PublicationDate | 2023-April-24 |
PublicationDateYYYYMMDD | 2023-04-24 |
PublicationDate_xml | – month: 04 year: 2023 text: 2023-April-24 day: 24 |
PublicationDecade | 2020 |
PublicationTitle | 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER) |
PublicationTitleAbbrev | NER |
PublicationYear | 2023 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
SSID | ssj0003204198 |
Score | 1.8915393 |
Snippet | To successfully insert a microprobe into the brain and record/stimulate the target neural tissue, it must meet two opposing requirements. Firstly, it must be... |
SourceID | ieee |
SourceType | Publisher |
StartPage | 1 |
SubjectTerms | adjustable stiffness brain micromotion Fabrication FEM Finite element analysis Force insertion neural microprobe Neural microtechnology neural tissue Photonics Polymers Strain Switches Tissue damage two-photon polymerization |
Title | Novel Neural Microprobe with Adjustable Stiffness |
URI | https://ieeexplore.ieee.org/document/10123721 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3fS8MwEA66J59UnPibPvjaLmmbJn0U2RjCiqiDvY1ccoHp2EQ6H_zrzWWboiD4FgqhvYTr8d3d9x1j1yHmgRJGp8rZAFDKSqYAwR8rVwkjtHYqaumNmmo4Lu8mcrIhq0cuDCLG5jPMaBlr-W5pV5Qq65EWVaGINr6reb4ma30lVIqclwFBb1jAgte9pv8gqeKZ0YjwbLv5xxiVGEUG-6zZvn_dPPKSrVrI7McvacZ_f-AB634T9pL7r1B0yHZwccREs3zHeULyG2aejKjzjsbHYEK51-TGPRN3CuaYPLYz7-mX12XjQf_pdphuJiSks2Btm9Zoa-1zZQNIUGAkCARbWF47U1ujDM_Rixq4ROWjLot3WurgtNJiDhKKY9ZZLBd4whKnPFbehS0cSpQKeOUDNEPNMUAkCaesS_ZOX9ciGNOtqWd_PD9ne3TsVHjJywvWad9WeBnidwtX8d4-ASWamRk |
link.rule.ids | 310,311,786,790,795,796,802,27956,55107 |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1NSwMxEA1SD3pSseK3OXjdbfYjm92jSEvVdhFtobeyk0ygWlqRrQd_vZn0QxQEb8tCIENIHm9m3hvGrh3mgYqqPFBGO4KSZjIAcPcxM1lURXlulPfS65dZd5jej-RoJVb3WhhE9M1nGNKnr-WbuV5QqqxFXlSJItn4tgN6oZZyrU1KJYlF6jj0SgcciaJVtp8k1TxDGhIerpf_GKTicaSzx8r1DpbtI6_hooZQf_4yZ_z3FvdZ81uyxx83YHTAtnB2yKJy_oFTTgYc1ZT3qfeOBsggp-wrvzEvpJ6CKfLnemItPXpNNuy0B7fdYDUjIZi4aOugQF3kNlba0QQFlYQIQSdaFKYqdKUqEaONChASlfXOLNbkMnfXVmqMQUJyxBqz-QyPGTfKYmaNWyIgRalAZNaRM8wFOpIk4YQ1Kd7x29IGY7wO9fSP_1dspzvo98a9u_LhjO3SEVAZJk7PWaN-X-CFQ_MaLv0ZfgFqv5xt |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2023+11th+International+IEEE%2FEMBS+Conference+on+Neural+Engineering+%28NER%29&rft.atitle=Novel+Neural+Microprobe+with+Adjustable+Stiffness&rft.au=Sharafkhani%2C+Naser&rft.au=Long%2C+John+M.&rft.au=Adams%2C+Scott+D.&rft.au=Kouzani%2C+Abbas+Z.&rft.date=2023-04-24&rft.pub=IEEE&rft.eissn=1948-3554&rft.spage=1&rft.epage=4&rft_id=info:doi/10.1109%2FNER52421.2023.10123721&rft.externalDocID=10123721 |