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Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces.
Hong, Jung-Hoon; Lee, Ju Young; Dutta, Ankan; Yoon, Sol Lip; Cho, Young Uk; Kim, Kyubeen; Kang, Kyowon; Kim, Hyun Woo; Kim, Dae-Hee; Park, Jaejin; Cho, Myeongki; Kim, Kiho; An, Jong Bin; Lee, Hye-Lan; Hwang, Dosik; Kim, Hyun Jae; Ha, Yoon; Lee, Hye Yeong; Cheng, Huanyu; Yu, Ki Jun.
Afiliación
  • Hong JH; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Lee JY; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Dutta A; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, State College, PA, USA; Center for Neural Engineering, The Pennsylvania State University, University Park, 16802, State College, PA, USA.
  • Yoon SL; Spine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea.
  • Cho YU; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea; Center for Emergent Matter Science (CEMS), RIKEN, The Institute of Physical and Chemical Research, 351-019
  • Kim K; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Kang K; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Kim HW; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Kim DH; Avison Biomedical Research Center, College of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Park J; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Cho M; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Kim K; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • An JB; Electronic Device Laboratory, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Lee HL; Spine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea.
  • Hwang D; School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Kim HJ; Electronic Device Laboratory, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
  • Ha Y; Spine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea; POSTECH Biotech Center, Pohang University of Science and Technology (POSTECH), 37673, Pohang, Republic of Korea.
  • Lee HY; Spine & Spinal Cord Institute, Department of Neurosurgery, College of Medicine, Yonsei University, 03722, Seoul, Republic of Korea. Electronic address: kimura416@yuhs.ac.
  • Cheng H; Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, 16802, State College, PA, USA; Center for Neural Engineering, The Pennsylvania State University, University Park, 16802, State College, PA, USA. Electronic address: huanyu.cheng@psu.edu.
  • Yu KJ; Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea; Department of Electrical and Electronic Engineering, YU-Korea Institute of Science and Technology (KIST) I
Biosens Bioelectron ; 260: 116446, 2024 Sep 15.
Article en En | MEDLINE | ID: mdl-38820722
ABSTRACT
Understanding brain function is essential for advancing our comprehension of human cognition, behavior, and neurological disorders. Magnetic resonance imaging (MRI) stands out as a powerful tool for exploring brain function, providing detailed insights into its structure and physiology. Combining MRI technology with electrophysiological recording system can enhance the comprehension of brain functionality through synergistic effects. However, the integration of neural implants with MRI technology presents challenges because of its strong electromagnetic (EM) energy during MRI scans. Therefore, MRI-compatible neural implants should facilitate detailed investigation of neural activities and brain functions in real-time in high resolution, without compromising patient safety and imaging quality. Here, we introduce the fully MRI-compatible monolayer open-mesh pristine PEDOTPSS neural interface. This approach addresses the challenges encountered while using traditional metal-based electrodes in the MRI environment such as induced heat or imaging artifacts. PEDOTPSS has a diamagnetic property with low electrical conductivity and negative magnetic susceptibility similar to human tissues. Furthermore, by adopting the optimized open-mesh structure, the induced currents generated by EM energy are significantly diminished, leading to optimized MRI compatibility. Through simulations and experiments, our PEDOTPSS-based open-mesh electrodes showed improved performance in reducing heat generation and eliminating imaging artifacts in an MRI environment. The electrophysiological recording capability was also validated by measuring the local field potential (LFP) from the somatosensory cortex with an in vivo experiment. The development of neural implants with maximized MRI compatibility indicates the possibility of potential tools for future neural diagnostics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polímeros / Encéfalo / Imagen por Resonancia Magnética Límite: Animals / Humans Idioma: En Revista: Biosens Bioelectron Asunto de la revista: BIOTECNOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polímeros / Encéfalo / Imagen por Resonancia Magnética Límite: Animals / Humans Idioma: En Revista: Biosens Bioelectron Asunto de la revista: BIOTECNOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido