Mapping the avian visual tectofugal pathway using 3D reconstruction

被引:0
|
作者
Straight, Parker J. [1 ,4 ]
Gignac, Paul M. [2 ,3 ]
Kuenzel, Wayne J. [1 ]
机构
[1] Univ Arkansas, Poultry Sci Dept, Fayetteville, AR USA
[2] Univ Arizona Hlth Sci, Cellular & Mol Med Dept, Tucson, AZ USA
[3] Oklahoma State Univ, Anat & Cell Biol Dept, Ctr Hlth Sci, Tulsa, OK USA
[4] Univ Arkansas, Ctr Excellence Poultry Sci, Fayetteville, AR 72701 USA
关键词
3D modeling; diceCT; eye; forebrain; optic tectum; ENHANCED COMPUTED-TOMOGRAPHY; CONE PHOTORECEPTOR DISTRIBUTION; ISTHMI PARS MAGNOCELLULARIS; 3-DIMENSIONAL DIGITAL ATLAS; PIGEON COLUMBA-LIVIA; SOFT-TISSUE ANATOMY; OPTIC TECTUM; NUCLEUS ROTUNDUS; GANGLION-CELLS; OIL DROPLETS;
D O I
10.1002/cne.25558
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Image processing in amniotes is usually accomplished by the thalamofugal and/or tectofugal visual systems. In laterally eyed birds, the tectofugal system dominates with functions such as color and motion processing, spatial orientation, stimulus identification, and localization. This makes it a critical system for complex avian behavior. Here, the brains of chicks, Gallus gallus, were used to produce serial brain sections in either coronal, sagittal, or horizontal planes and stained with either Nissl and Gallyas silver myelin or Luxol fast blue stain and cresyl echt violet (CEV). The emerging techniques of diffusible iodine-based contrast-enhanced computed tomography (diceCT) coupled with serial histochemistry in three planes were used to generate a comprehensive three-dimensional (3D) model of the avian tectofugal visual system. This enabled the 3D reconstruction of tectofugal circuits, including the three primary neuronal projections. Specifically, major components of the system included four regions of the retina, layers of the optic tectum, subdivisions of the nucleus rotundus in the thalamus, the entopallium in the forebrain, and supplementary components connecting into or out of this major avian visual sensory system. The resulting 3D model enabled a better understanding of the structural components and connectivity of this complex system by providing a complete spatial organization that occupied several distinct brain regions. We demonstrate how pairing diceCT with traditional histochemistry is an effective means to improve the understanding of, and thereby should generate insights into, anatomical and functional properties of complicated neural pathways, and we recommend this approach to clarify enigmatic properties of these pathways. Here, we study the three-dimensional organization of the visual tectofugal pathway of the chicken. Using a novel multimodal imaging technique that combines diceCT with traditional histochemistry, we segmented and rendered 3D volumes for 18 nuclei and 8 major fiber tracts involved in this visual processing system. image
引用
收藏
页数:26
相关论文
共 50 条
  • [1] A histological and diceCT-derived 3D reconstruction of the avian visual thalamofugal pathway
    Straight, Parker J.
    Gignac, Paul M.
    Kuenzel, Wayne J.
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [2] Parallel organization of the avian sensorimotor arcopallium: Tectofugal visual pathway in the pigeon (Columba livia)
    Fernandez, Maximo
    Morales, Cristian
    Duran, Ernesto
    Fernandez-Colleman, Sara
    Sentis, Elisa
    Mpodozis, Jorge
    Karten, Harvey J.
    Marin, Gonzalo J.
    JOURNAL OF COMPARATIVE NEUROLOGY, 2020, 528 (04) : 597 - 623
  • [3] 3D Surface Reconstruction Using Polynomial Texture Mapping
    Elfarargy, Mohammed
    Rizq, Amr
    Rashwan, Marwa
    ADVANCES IN VISUAL COMPUTING, ISVC 2013, PT I, 2013, 8033 : 353 - 362
  • [4] ECG electrode localization using 3D visual reconstruction
    El Ghebouli, Ayoub
    Mombereau, Amael
    Haissaguerre, Michel
    Dubois, Remi
    Bear, Laura R.
    FRONTIERS IN PHYSIOLOGY, 2025, 16
  • [5] 3D RECONSTRUCTION BY PARAMETERIZED SURFACE MAPPING
    Langlois, Pierre-Alain
    Fisher, Matthew
    Wang, Oliver
    Kim, Vladimir
    Boulch, Alexandre
    Marlet, Renaud
    Russell, Bryan
    2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 3273 - 3277
  • [6] 3D reconstruction based on homography mapping
    Zhang, ZF
    Hanson, AR
    IMAGE UNDERSTANDING WORKSHOP, 1996 PROCEEDINGS, VOLS I AND II, 1996, : 1007 - 1012
  • [7] Monocular Visual Odometry and 3D Reconstruction
    Prozorov, Alexandr
    Volokhov, Vladimir
    Priorov, Andrew
    PROCEEDINGS OF THE 15TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION FRUCT, 2014, : 112 - 118
  • [8] Fast 3D Map Reconstruction Using Dense Visual Simultaneous Localization and Mapping Based on Unmanned Aerial Vehicle
    Peng, Siyuan
    Huang, Fang
    Tao, Jian
    Tie, Bo
    Lu, Jun
    Zhang, Xiaodong
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 5712 - 5715
  • [9] Depth-Visual-Inertial (DVI) Mapping System for Robust Indoor 3D Reconstruction
    Hamesse, Charles
    Vlaminck, Michiel
    Luong, Hiep
    Haelterman, Rob
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (12): : 11313 - 11320
  • [10] 3D RECONSTRUCTION OF A 2D VISUAL DISPLAY
    BROWN, LB
    JOURNAL OF GENETIC PSYCHOLOGY, 1969, 115 (02): : 257 - &