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Characterizing Carbon Fiber Electrodes for Their Application in Wireless Networks of Submillimetric Neural Interfaces
Characterizing Carbon Fiber Electrodes for Their Application in Wireless Networks of Submi...
Characterizing Carbon Fiber Electrodes for Their Application in Wireless Networks of Submillimetric Neural Interfaces

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자료유형  
 학위논문 서양
최종처리일시  
20260202103643
ISBN  
9798314874387
DDC  
616
저자명  
Letner, Joseph G.
서명/저자  
Characterizing Carbon Fiber Electrodes for Their Application in Wireless Networks of Submillimetric Neural Interfaces
발행사항  
[Sl] : University of Michigan, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
224 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
주기사항  
Advisor: Cai, Dawen;Chestek, Cynthia A.
학위논문주기  
Thesis (Ph.D.)--University of Michigan, 2025.
초록/해제  
요약Brain machine interfaces (BMIs) are a potential clinical solution for restoring functions lost to individuals suffering from neurological disorders such as spinal cord injury and amyotrophic lateral sclerosis. Enabling a user to control a BMI first requires sampling their brain activity, which is then algorithmically decoded into intended actions. While the conventional intracortical electrodes used for recording neural signals have enabled restoring several everyday human functions, their safety profile limits the clinical viability of BMIs. Implanting these electrodes is accompanied by a complex biological reaction that includes the loss of the neurons that these devices are intended to record. Furthermore, these electrodes often require percutaneous connections through the scalp, which are a persistent infection risk, are surgically limited to too few channels, and tether the user to decoding hardware. Clinically viable BMIs will require new electrode technologies that are wireless, more biocompatible, and can accommodate thousands of channels. This dissertation presents three studies that aim to resolve this gap by further informing the application of highly biocompatible carbon fiber electrodes with subcellular-scale diameters (6.8-8.4 microns). In the first study, the recording site tips of explanted carbon fiber electrodes and neurons in their immediate vicinity were consistently localized in cortex for the first time. Quantifying the geometries of surrounding neuronal somata revealed that although they were stretched, the positions of the six neurons closest to the electrode were similar to fibers hypothetically implanted into contralateral control brain in simulations. Using these histological positions to simply model the electrophysiology that these neurons might produce suggested that only spikes originating in the nearest four or five neurons may be distinguishable when spike sorting the signals recorded by carbon fiber electrodes. In the second study, carbon fiber electrodes' recording capabilities were investigated further. Carbon fiber arrays were implanted into the motor cortex of nine anesthetized rats and electrophysiology was recorded at several depths, sampling from multiple cortical layers each experiment. Large spikes (at least 100 microvolts peak-peak) were reliably acquired in 167/197 recordings (85%) from depths estimated to be in layers 2-6. While spike clusters with the largest amplitudes and highest quantities were measured in estimated layer 5, those acquired in estimated layers 4 and 6 were also numerous and of high amplitude. In the third study, the feasibility of implanting carbon fiber motes, which are composed of submillimetric chips with one carbon fiber each and are powered and communicate wirelessly, was demonstrated. More than 230 non-functional but mechanically equivalent analogs of proposed designs were assembled to validate a procedure that could easily and swiftly implant up to 25 devices simultaneously. This procedure was successful with 171/186 (92%) analogs inserting such that the chips rested on the cortical surface and only the fibers penetrated the brain 1 mm deep. After implantation, measurements of the change in their spatial arrangements were smaller than those of devices in the literature that were implanted inside the brain. In summary, these results validate previous findings suggesting that chronically implanted carbon fiber electrodes retain surrounding neurons in motor cortex, deepen our understanding of carbon fiber electrodes' capabilities in signal acquisition, and introduce a procedure for implanting wireless carbon fiber motes that avoids introducing unnecessary time and complexity to neurosurgery. Collectively, these studies further motivate the application of carbon fiber electrodes in future investigations in neuroscience and in clinical BMIs.
일반주제명  
Neurosciences
일반주제명  
Biomedical engineering
일반주제명  
Physiology
키워드  
Neural probes
키워드  
Brain machine interfaces
키워드  
Carbon fiber electrodes
키워드  
Electrophysiology
키워드  
Medical implant safety
기타저자  
University of Michigan Biomedical Engineering
기본자료저록  
Dissertations Abstracts International. 86-11B.
전자적 위치 및 접속  
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MARC

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■1001  ▼aLetner,  Joseph  G.
■24510▼aCharacterizing  Carbon  Fiber  Electrodes  for  Their  Application  in  Wireless  Networks  of  Submillimetric  Neural  Interfaces
■260    ▼a[Sl]▼bUniversity  of  Michigan▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a224  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-11,  Section:  B.
■500    ▼aAdvisor:  Cai,  Dawen;Chestek,  Cynthia  A.
■5021  ▼aThesis  (Ph.D.)--University  of  Michigan,  2025.
■520    ▼aBrain  machine  interfaces  (BMIs)  are  a  potential  clinical  solution  for  restoring  functions  lost  to  individuals  suffering  from  neurological  disorders  such  as  spinal  cord  injury  and  amyotrophic  lateral  sclerosis.  Enabling  a  user  to  control  a  BMI  first  requires  sampling  their  brain  activity,  which  is  then  algorithmically  decoded  into  intended  actions.  While  the  conventional  intracortical  electrodes  used  for  recording  neural  signals  have  enabled  restoring  several  everyday  human  functions,  their  safety  profile  limits  the  clinical  viability  of  BMIs.  Implanting  these  electrodes  is  accompanied  by  a  complex  biological  reaction  that  includes  the  loss  of  the  neurons  that  these  devices  are  intended  to  record.  Furthermore,  these  electrodes  often  require  percutaneous  connections  through  the  scalp,  which  are  a  persistent  infection  risk,  are  surgically  limited  to  too  few  channels,  and  tether  the  user  to  decoding  hardware.  Clinically  viable  BMIs  will  require  new  electrode  technologies  that  are  wireless,  more  biocompatible,  and  can  accommodate  thousands  of  channels.  This  dissertation  presents  three  studies  that  aim  to  resolve  this  gap  by  further  informing  the  application  of  highly  biocompatible  carbon  fiber  electrodes  with  subcellular-scale  diameters  (6.8-8.4  microns).  In  the  first  study,  the  recording  site  tips  of  explanted  carbon  fiber  electrodes  and  neurons  in  their  immediate  vicinity  were  consistently  localized  in  cortex  for  the  first  time.  Quantifying  the  geometries  of  surrounding  neuronal  somata  revealed  that  although  they  were  stretched,  the  positions  of  the  six  neurons  closest  to  the  electrode  were  similar  to  fibers  hypothetically  implanted  into  contralateral  control  brain  in  simulations.  Using  these  histological  positions  to  simply  model  the  electrophysiology  that  these  neurons  might  produce  suggested  that  only  spikes  originating  in  the  nearest  four  or  five  neurons  may  be  distinguishable  when  spike  sorting  the  signals  recorded  by  carbon  fiber  electrodes.  In  the  second  study,  carbon  fiber  electrodes'  recording  capabilities  were  investigated  further.  Carbon  fiber  arrays  were  implanted  into  the  motor  cortex  of  nine  anesthetized  rats  and  electrophysiology  was  recorded  at  several  depths,  sampling  from  multiple  cortical  layers  each  experiment.  Large  spikes  (at  least  100  microvolts  peak-peak)  were  reliably  acquired  in  167/197  recordings  (85%)  from  depths  estimated  to  be  in  layers  2-6.  While  spike  clusters  with  the  largest  amplitudes  and  highest  quantities  were  measured  in  estimated  layer  5,  those  acquired  in  estimated  layers  4  and  6  were  also  numerous  and  of  high  amplitude.  In  the  third  study,  the  feasibility  of  implanting  carbon  fiber  motes,  which  are  composed  of  submillimetric  chips  with  one  carbon  fiber  each  and  are  powered  and  communicate  wirelessly,  was  demonstrated.  More  than  230  non-functional  but  mechanically  equivalent  analogs  of  proposed  designs  were  assembled  to  validate  a  procedure  that  could  easily  and  swiftly  implant  up  to  25  devices  simultaneously.  This  procedure  was  successful  with  171/186  (92%)  analogs  inserting  such  that  the  chips  rested  on  the  cortical  surface  and  only  the  fibers  penetrated  the  brain  1  mm  deep.  After  implantation,  measurements  of  the  change  in  their  spatial  arrangements  were  smaller  than  those  of  devices  in  the  literature  that  were  implanted  inside  the  brain.  In  summary,  these  results  validate  previous  findings  suggesting  that  chronically  implanted  carbon  fiber  electrodes  retain  surrounding  neurons  in  motor  cortex,  deepen  our  understanding  of  carbon  fiber  electrodes'  capabilities  in  signal  acquisition,  and  introduce  a  procedure  for  implanting  wireless  carbon  fiber  motes  that  avoids  introducing  unnecessary  time  and  complexity  to  neurosurgery.  Collectively,  these  studies  further  motivate  the  application  of  carbon  fiber  electrodes  in  future  investigations  in  neuroscience  and  in  clinical  BMIs.
■590    ▼aSchool  code:  0127.
■650  4▼aNeurosciences
■650  4▼aBiomedical  engineering
■650  4▼aPhysiology
■653    ▼aNeural  probes
■653    ▼aBrain  machine  interfaces
■653    ▼aCarbon  fiber  electrodes
■653    ▼aElectrophysiology
■653    ▼aMedical  implant  safety
■690    ▼a0541
■690    ▼a0317
■690    ▼a0719
■71020▼aUniversity  of  Michigan▼bBiomedical  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g86-11B.
■790    ▼a0127
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358096▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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