M/EEG source localization for both subcortical and cortical sources using a convolutional neural network with a realistic head conductivity model

被引:0
|
作者
Yokoyama, Hikaru [1 ,2 ]
Kaneko, Naotsugu [2 ]
Usuda, Noboru [3 ]
Kato, Tatsuya [2 ,4 ,5 ]
Khoo, Hui Ming [6 ]
Fukuma, Ryohei [6 ,7 ]
Oshino, Satoru [6 ]
Tani, Naoki [6 ]
Kishima, Haruhiko [6 ]
Yanagisawa, Takufumi [6 ,7 ]
Nakazawa, Kimitaka [2 ]
机构
[1] Institute of Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo,184-8588, Japan
[2] Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo,153-8902, Japan
[3] Neural Prosthetics Project, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo,156-8506, Japan
[4] Sony Computer Science Laboratories. Inc., Tokyo,141-0022, Japan
[5] Japan Society for the Promotion of Science, Tokyo,102-0083, Japan
[6] Department of Neurosurgery, Graduate School of Medicine, Osaka University, Osaka, Suita,565-0871, Japan
[7] Institute for Advanced Co-Creation Studies, Osaka University Graduate School of Medicine, Osaka, Suita,565-0871, Japan
关键词
D O I
10.1063/5.0226457
中图分类号
学科分类号
摘要
Magnetoencephalography
引用
下载
收藏
相关论文
共 50 条
  • [41] Anatomical localization and intra-subject reproducibility of laser evoked potential source in cingulate cortex, using a realistic head model
    Bentley, DE
    Youell, PD
    Jones, AKP
    CLINICAL NEUROPHYSIOLOGY, 2002, 113 (08) : 1351 - 1356
  • [42] Hybrid Convolutional Neural Network-Transformer Model for End-to-End Binaural Sound Source Localization in Reverberant Environments
    Chen, Xinyi
    Zhao, Lijia
    Cui, Jie
    Li, Hua
    Wang, Xiaodong
    IEEE Access, 2025, 13 : 36701 - 36713
  • [43] Building EEG-based CAD object selection intention discrimination model using convolutional neural network (CNN)
    Cao, Beining
    Niu, Hongwei
    Hao, Jia
    Wang, Guoxin
    ADVANCED ENGINEERING INFORMATICS, 2022, 52
  • [44] Improved EEG Source Analysis Using Low-Resolution Conductivity Estimation in a Four-Compartment Finite Element Head Model
    Lew, Seok
    Wolters, Carsten H.
    Anwander, Alfred
    Makeig, Scott
    MacLeod, Rob S.
    HUMAN BRAIN MAPPING, 2009, 30 (09) : 2862 - 2878
  • [45] 3D Deep Residual Convolutional Neural Network for Underwater Acoustic Source Localization Using Local Acoustic Intensity Field
    Qu, Yi
    Sun, Jie
    Tian, Yu
    Yu, Jiancheng
    OCEANS 2022, 2022,
  • [46] Constructing a heat source parameter estimation model for heat conduction finite element analysis using deep convolutional neural network
    Kitano, Houichi
    Mikami, Yoshiki
    Materials Today Communications, 2022, 31
  • [47] Constructing a heat source parameter estimation model for heat conduction finite element analysis using deep convolutional neural network
    Kitano, Houichi
    Mikami, Yoshiki
    MATERIALS TODAY COMMUNICATIONS, 2022, 31
  • [48] Subspace electrode selection methodology for the reduction of the effect of uncertain conductivity values in the EEG dipole localization: a simulation study using a patient-specific head model
    Crevecoeur, G.
    Restrepo, V. Montes
    Staelens, S.
    PHYSICS IN MEDICINE AND BIOLOGY, 2012, 57 (07): : 1963 - 1986
  • [49] A Convolutional Neural Network-Based Model for Multi-Source and Single-Source Partial Discharge Pattern Classification Using Only Single-Source Training Set
    Mantach, Sara
    Ashraf, Ahmed
    Janani, Hamed
    Kordi, Behzad
    ENERGIES, 2021, 14 (05)
  • [50] Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modeling
    Wolters, CH
    Anwander, A
    Tricoche, X
    Weinstein, D
    Koch, MA
    MacLeod, RS
    NEUROIMAGE, 2006, 30 (03) : 813 - 826