Three-dimensional brain reconstruction of in vivo electrode tracks for neuroscience and neural prosthetic applications

被引:17
|
作者
Markovitz, Craig D. [1 ]
Tang, Tien T. [1 ]
Edge, David P. [1 ]
Lim, Hubert H. [1 ,2 ,3 ]
机构
[1] Univ Minnesota, Dept Biomed Engn, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Dept Otolaryngol, Minneapolis, MN 55455 USA
[3] Univ Minnesota, Inst Translat Neurosci, Minneapolis, MN 55455 USA
关键词
histology; imaging; inferior colliculus; neural prosthesis; deep brain stimulation; population coding; reconstruction; tonotopy; INFERIOR COLLICULUS; AUDITORY MIDBRAIN; CENTRAL NUCLEUS; ELECTRICAL-STIMULATION; UNIT RESPONSES; ORGANIZATION; MRI; REPRESENTATION; PATTERNS; NEURONS;
D O I
10.3389/fncir.2012.00039
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The brain is a densely interconnected network that relies on populations of neurons within and across multiple nuclei to code for features leading to perception and action. However, the neurophysiology field is still dominated by the characterization of individual neurons, rather than simultaneous recordings across multiple regions, without consistent spatial reconstruction of their locations for comparisons across studies. There are sophisticated histological and imaging techniques for performing brain reconstructions. However, what is needed is a method that is relatively easy and inexpensive to implement in a typical neurophysiology lab and provides consistent identification of electrode locations to make it widely used for pooling data across studies and research groups. This paper presents our initial development of such an approach for reconstructing electrode tracks and site locations within the guinea pig inferior colliculus (IC) to identify its functional organization for frequency coding relevant for a new auditory midbrain implant (AMI). Encouragingly, the spatial error associated with different individuals reconstructing electrode tracks for the same midbrain was less than 65 mu m, corresponding to an error of similar to 1.5% relative to the entire IC structure (similar to 4-5 mm diameter sphere). Furthermore, the reconstructed frequency laminae of the IC were consistently aligned across three sampled midbrains, demonstrating the ability to use our method to combine location data across animals. Hopefully, through further improvements in our reconstruction method, it can be used as a standard protocol across neurophysiology labs to characterize neural data not only within the IC but also within other brain regions to help bridge the gap between cellular activity and network function. Clinically, correlating function with location within and across multiple brain regions can guide optimal placement of electrodes for the growing field of neural prosthetics.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] NEUROSCIENCE A three-dimensional neural compass
    Rowland, David C.
    Moser, May-Britt
    [J]. NATURE, 2015, 517 (7533) : 156 - 157
  • [2] Three-dimensional reconstruction of neural tracts and commissures in the bee brain
    Ai, Hiroyuki
    Kusakabe, Yuri
    Itoh, Tsunao
    [J]. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY B-BIOCHEMISTRY & MOLECULAR BIOLOGY, 2008, 151 (04): : 457 - 457
  • [3] Applications of three-dimensional printers in prosthetic dentistry
    Kihara, Hidemichi
    Sugawara, Shiho
    Yokota, Jun
    Takafuji, Kyoko
    Fukazawa, Shota
    Tamada, Ayaka
    Hatakeyama, Wataru
    Kondo, Hisatomo
    [J]. JOURNAL OF ORAL SCIENCE, 2021, 63 (03) : 212 - 216
  • [4] Neuroscience: How Is Three-Dimensional Space Encoded in the Brain?
    Ulanovsky, Nachum
    [J]. CURRENT BIOLOGY, 2011, 21 (21) : R886 - R888
  • [5] In vivo three-dimensional reconstruction of rat brain axonal projections by diffusion tensor imaging
    Xue, R
    van Zijl, PCM
    Crain, BJ
    Solaiyappan, M
    Mori, S
    [J]. MAGNETIC RESONANCE IN MEDICINE, 1999, 42 (06) : 1123 - 1127
  • [6] The fertility tracks of pollen tube in the ovary of Solanum nigrum by three-dimensional reconstruction
    Ming, Xing
    Chen, Xia
    Ma, Hongyu
    Li, Chuang
    Zhao, Zijian
    Li, Jinying
    Du, Yingda
    [J]. JOURNAL OF MICROSCOPY, 2024, 293 (02) : 86 - 97
  • [7] Three-dimensional computer reconstruction of anatomical structures of the brain
    Aivazyan, AR
    Budantsev, AY
    Smolyaninov, VV
    [J]. BIOFIZIKA, 2003, 48 (05): : 926 - 930
  • [8] Three-dimensional virtual reconstruction of buildings: Techniques and applications
    Mueller, H
    [J]. VIRTUAL AND AUGMENTED ARCHITECTURE (VAA'01), 2001, : 113 - 118
  • [9] Measurement of brain structures with artificial neural networks: Two- and three-dimensional applications
    Magnotta, VA
    Heckel, D
    Andreasen, NC
    Cizadlo, T
    Corson, PW
    Ehrhardt, JC
    Yuh, WTC
    [J]. RADIOLOGY, 1999, 211 (03) : 781 - 790
  • [10] Three-dimensional reconstruction of rat dermal blood vessels in vivo
    Barton, JK
    Izatt, JA
    Kulkarni, MD
    Welch, AJ
    [J]. LASERS IN SURGERY: ADVANCED CHARACTERIZATION, THERAPEUTICS, AND SYSTEMS VII, PROCEEDINGS OF, 1997, 2970 : 266 - 275