• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 23, Issue 2, 116 (2025)
ZHANG Juan1, CHEN Yu2, MU Ning3,4, ZHOU Meng2,*, and ZHENG Jingmin3
Author Affiliations
  • 1Department of Medical Psychology, First Affiliated Hospital of Army Medical University, Chongqing 400038, China
  • 2Department of Neurosurgery, First Affiliated Hospital of Army Medical University, Chongqing 400038, China
  • 3Department of Medical Affairs, First Affiliated Hospital of Army Medical University, Chongqing 400038, China
  • 3Department of Neurosurgery, First Affiliated Hospital of Army Medical University, Chongqing 400038, China
  • 4Chongqing University, Chongqing 400044, China
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    DOI: 10.11805/tkyda2024548 Cite this Article
    ZHANG Juan, CHEN Yu, MU Ning, ZHOU Meng, ZHENG Jingmin. Research on the identification of different brain functional regions based on terahertz metamaterials[J]. Journal of Terahertz Science and Electronic Information Technology , 2025, 23(2): 116 Copy Citation Text show less

    Abstract

    Precise diagnosis and personalized treatment of neurological diseases are crucial for improving patient outcomes. Terahertz (THz) metamaterials, due to their unique spectral properties, have become essential tools for studying different functional areas of brain tissue. THz metamaterials are employed to detect brain tissue sections, with a focus on analyzing key functional areas such as the amygdala, motor cortex, auditory cortex, hippocampus, hypothalamus, and thalamus. By measuring the resonant frequencies and amplitude changes in each area, the ability of THz metamaterials to identify different brain regions is verified. The resonant frequencies and amplitudes in each brain functional area have undergone significant changes. Among them, the hippocampus shows the largest change in resonance peak amplitude (ΔA), increasing from 7.62% to 20.35%. The motor cortex, auditory cortex, and amygdala show significant resonance frequency shifts, with a shift amount (Δf) reaching (369±4.4) GHz, while the hypothalamus shows a shift of 23.77 GHz. These differences are closely related to the biophysical properties of each brain area. The study indicates that THz metamaterials can effectively distinguish the spectral characteristics of brain functional areas.
    ZHANG Juan, CHEN Yu, MU Ning, ZHOU Meng, ZHENG Jingmin. Research on the identification of different brain functional regions based on terahertz metamaterials[J]. Journal of Terahertz Science and Electronic Information Technology , 2025, 23(2): 116
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