1
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Hsu LM, Shih YYI. Neuromodulation in Small Animal fMRI. J Magn Reson Imaging 2025; 61:1597-1617. [PMID: 39279265 PMCID: PMC11903207 DOI: 10.1002/jmri.29575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 09/18/2024] Open
Abstract
The integration of functional magnetic resonance imaging (fMRI) with advanced neuroscience technologies in experimental small animal models offers a unique path to interrogate the causal relationships between regional brain activity and brain-wide network measures-a goal challenging to accomplish in human subjects. This review traces the historical development of the neuromodulation techniques commonly used in rodents, such as electrical deep brain stimulation, optogenetics, and chemogenetics, and focuses on their application with fMRI. We discuss their advantageousness roles in uncovering the signaling architecture within the brain and the methodological considerations necessary when conducting these experiments. By presenting several rodent-based case studies, we aim to demonstrate the potential of the multimodal neuromodulation approach in shedding light on neurovascular coupling, the neural basis of brain network functions, and their connections to behaviors. Key findings highlight the cell-type and circuit-specific modulation of brain-wide activity patterns and their behavioral correlates. We also discuss several future directions and feature the use of mediation and moderation analytical models beyond the intuitive evoked response mapping, to better leverage the rich information available in fMRI data with neuromodulation. Using fMRI alongside neuromodulation techniques provide insights into the mesoscopic (relating to the intermediate scale between single neurons and large-scale brain networks) and macroscopic fMRI measures that correlate with specific neuronal events. This integration bridges the gap between different scales of neuroscience research, facilitating the exploration and testing of novel therapeutic strategies aimed at altering network-mediated behaviors. In conclusion, the combination of fMRI with neuromodulation techniques provides crucial insights into mesoscopic and macroscopic brain dynamics, advancing our understanding of brain function in health and disease. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Li-Ming Hsu
- Center for Animal Magnetic Resonance Imaging, The University of North Carolina at Chapel Hill
- Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill
- Departments of Radiology, The University of North Carolina at Chapel Hill
| | - Yen-Yu Ian Shih
- Center for Animal Magnetic Resonance Imaging, The University of North Carolina at Chapel Hill
- Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill
- Departments of Neurology, The University of North Carolina at Chapel Hill
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2
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Ahmed AA, Alegret N, Almeida B, Alvarez-Puebla R, Andrews AM, Ballerini L, Barrios-Capuchino JJ, Becker C, Blick RH, Bonakdar S, Chakraborty I, Chen X, Cheon J, Chilla G, Coelho Conceicao AL, Delehanty J, Dulle M, Efros AL, Epple M, Fedyk M, Feliu N, Feng M, Fernández-Chacón R, Fernandez-Cuesta I, Fertig N, Förster S, Garrido JA, George M, Guse AH, Hampp N, Harberts J, Han J, Heekeren HR, Hofmann UG, Holzapfel M, Hosseinkazemi H, Huang Y, Huber P, Hyeon T, Ingebrandt S, Ienca M, Iske A, Kang Y, Kasieczka G, Kim DH, Kostarelos K, Lee JH, Lin KW, Liu S, Liu X, Liu Y, Lohr C, Mailänder V, Maffongelli L, Megahed S, Mews A, Mutas M, Nack L, Nakatsuka N, Oertner TG, Offenhäusser A, Oheim M, Otange B, Otto F, Patrono E, Peng B, Picchiotti A, Pierini F, Pötter-Nerger M, Pozzi M, Pralle A, Prato M, Qi B, Ramos-Cabrer P, Genger UR, Ritter N, Rittner M, Roy S, Santoro F, Schuck NW, Schulz F, Şeker E, Skiba M, Sosniok M, Stephan H, Wang R, Wang T, Wegner KD, Weiss PS, Xu M, Yang C, Zargarian SS, Zeng Y, Zhou Y, Zhu D, Zierold R, Parak WJ. Interfacing with the Brain: How Nanotechnology Can Contribute. ACS NANO 2025; 19:10630-10717. [PMID: 40063703 PMCID: PMC11948619 DOI: 10.1021/acsnano.4c10525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 12/19/2024] [Accepted: 12/24/2024] [Indexed: 03/26/2025]
Abstract
Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along with the available technology. Mechanical levers and cable winches were used to move parts of the brain during the mechanical age. Sophisticated electronic wiring and remote control have arisen during the electronic age, ultimately leading to plug-and-play computer interfaces. Nonetheless, our brains are so complex that these visions, until recently, largely remained unreachable dreams. The general problem, thus far, is that most of our technology is mechanically and/or electrically engineered, whereas the brain is a living, dynamic entity. As a result, these worlds are difficult to interface with one another. Nanotechnology, which encompasses engineered solid-state objects and integrated circuits, excels at small length scales of single to a few hundred nanometers and, thus, matches the sizes of biomolecules, biomolecular assemblies, and parts of cells. Consequently, we envision nanomaterials and nanotools as opportunities to interface with the brain in alternative ways. Here, we review the existing literature on the use of nanotechnology in brain-machine interfaces and look forward in discussing perspectives and limitations based on the authors' expertise across a range of complementary disciplines─from neuroscience, engineering, physics, and chemistry to biology and medicine, computer science and mathematics, and social science and jurisprudence. We focus on nanotechnology but also include information from related fields when useful and complementary.
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Affiliation(s)
- Abdullah
A. A. Ahmed
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Department
of Physics, Faculty of Applied Science, Thamar University, Dhamar 87246, Yemen
| | - Nuria Alegret
- Biogipuzkoa
HRI, Paseo Dr. Begiristain
s/n, 20014 Donostia-San
Sebastián, Spain
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Bethany Almeida
- Department
of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, New York 13699, United States
| | - Ramón Alvarez-Puebla
- Universitat
Rovira i Virgili, 43007 Tarragona, Spain
- ICREA, 08010 Barcelona, Spain
| | - Anne M. Andrews
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los
Angeles, California 90095, United States
- Neuroscience
Interdepartmental Program, University of
California, Los Angeles, Los Angeles, California 90095, United States
- Department
of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience
& Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
- California
Nanosystems Institute, University of California,
Los Angeles, Los Angeles, California 90095, United States
| | - Laura Ballerini
- Neuroscience
Area, International School for Advanced
Studies (SISSA/ISAS), Trieste 34136, Italy
| | | | - Charline Becker
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Robert H. Blick
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Shahin Bonakdar
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- National
Cell Bank Department, Pasteur Institute
of Iran, P.O. Box 1316943551, Tehran, Iran
| | - Indranath Chakraborty
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- School
of Nano Science and Technology, Indian Institute
of Technology Kharagpur, Kharagpur 721302, India
| | - Xiaodong Chen
- Innovative
Center for Flexible Devices (iFLEX), Max Planck − NTU Joint
Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Jinwoo Cheon
- Institute
for Basic Science Center for Nanomedicine, Seodaemun-gu, Seoul 03722, Korea
- Advanced
Science Institute, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
- Department
of Chemistry, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
| | - Gerwin Chilla
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - James Delehanty
- U.S. Naval
Research Laboratory, Washington, D.C. 20375, United States
| | - Martin Dulle
- JCNS-1, Forschungszentrum
Jülich, 52428 Jülich, Germany
| | | | - Matthias Epple
- Inorganic
Chemistry and Center for Nanointegration Duisburg-Essen (CeNIDE), University of Duisburg-Essen, 45117 Essen, Germany
| | - Mark Fedyk
- Center
for Neuroengineering and Medicine, UC Davis, Sacramento, California 95817, United States
| | - Neus Feliu
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Miao Feng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Rafael Fernández-Chacón
- Instituto
de Biomedicina de Sevilla (IBiS), Hospital
Universitario Virgen del Rocío/Consejo Superior de Investigaciones
Científicas/Universidad de Sevilla, 41013 Seville, Spain
- Departamento
de Fisiología Médica y Biofísica, Facultad de
Medicina, Universidad de Sevilla, CIBERNED,
ISCIII, 41013 Seville, Spain
| | | | - Niels Fertig
- Nanion
Technologies GmbH, 80339 München, Germany
| | | | - Jose A. Garrido
- ICREA, 08010 Barcelona, Spain
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, 08193 Bellaterra, Spain
| | | | - Andreas H. Guse
- The Calcium
Signaling Group, Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Norbert Hampp
- Fachbereich
Chemie, Universität Marburg, 35032 Marburg, Germany
| | - Jann Harberts
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Drug Delivery,
Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
- Melbourne
Centre for Nanofabrication, Victorian Node
of the Australian National Fabrication Facility, Clayton, Victoria 3168, Australia
| | - Jili Han
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Hauke R. Heekeren
- Executive
University Board, Universität Hamburg, 20148 Hamburg Germany
| | - Ulrich G. Hofmann
- Section
for Neuroelectronic Systems, Department for Neurosurgery, University Medical Center Freiburg, 79108 Freiburg, Germany
- Faculty
of Medicine, University of Freiburg, 79110 Freiburg, Germany
| | - Malte Holzapfel
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | | | - Yalan Huang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Patrick Huber
- Institute
for Materials and X-ray Physics, Hamburg
University of Technology, 21073 Hamburg, Germany
- Center
for X-ray and Nano Science CXNS, Deutsches
Elektronen-Synchrotron DESY, 22607 Hamburg, Germany
| | - Taeghwan Hyeon
- Center
for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School
of Chemical and Biological Engineering, and Institute of Chemical
Processes, Seoul National University, Seoul 08826, Republic of Korea
| | - Sven Ingebrandt
- Institute
of Materials in Electrical Engineering 1, RWTH Aachen University, 52074 Aachen, Germany
| | - Marcello Ienca
- Institute
for Ethics and History of Medicine, School of Medicine and Health, Technische Universität München (TUM), 81675 München, Germany
| | - Armin Iske
- Fachbereich
Mathematik, Universität Hamburg, 20146 Hamburg, Germany
| | - Yanan Kang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - Dae-Hyeong Kim
- Center
for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea
- School
of Chemical and Biological Engineering, and Institute of Chemical
Processes, Seoul National University, Seoul 08826, Republic of Korea
| | - Kostas Kostarelos
- Catalan
Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, 08193 Bellaterra, Spain
- Centre
for Nanotechnology in Medicine, Faculty of Biology, Medicine &
Health and The National Graphene Institute, University of Manchester, Manchester M13 9PL, United
Kingdom
| | - Jae-Hyun Lee
- Institute
for Basic Science Center for Nanomedicine, Seodaemun-gu, Seoul 03722, Korea
- Advanced
Science Institute, Yonsei University, Seodaemun-gu, Seoul 03722, Korea
| | - Kai-Wei Lin
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Sijin Liu
- State Key
Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese
Academy of Sciences, Beijing 100085, China
- University
of the Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Liu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Yang Liu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Christian Lohr
- Fachbereich
Biologie, Universität Hamburg, 20146 Hamburg, Germany
| | - Volker Mailänder
- Department
of Dermatology, Center for Translational Nanomedicine, Universitätsmedizin der Johannes-Gutenberg,
Universität Mainz, 55131 Mainz, Germany
- Max Planck
Institute for Polymer Research, Ackermannweg 10, 55129 Mainz, Germany
| | - Laura Maffongelli
- Institute
of Medical Psychology, University of Lübeck, 23562 Lübeck, Germany
| | - Saad Megahed
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Physics
Department, Faculty of Science, Al-Azhar
University, 4434104 Cairo, Egypt
| | - Alf Mews
- Fachbereich
Chemie, Universität Hamburg, 20146 Hamburg, Germany
| | - Marina Mutas
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Leroy Nack
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Nako Nakatsuka
- Laboratory
of Chemical Nanotechnology (CHEMINA), Neuro-X
Institute, École Polytechnique Fédérale de Lausanne
(EPFL), Geneva CH-1202, Switzerland
| | - Thomas G. Oertner
- Institute
for Synaptic Neuroscience, University Medical
Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Andreas Offenhäusser
- Institute
of Biological Information Processing - Bioelectronics, Forschungszentrum Jülich, 52425 Jülich, Germany
| | - Martin Oheim
- Université
Paris Cité, CNRS, Saints Pères
Paris Institute for the Neurosciences, 75006 Paris, France
| | - Ben Otange
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Ferdinand Otto
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Enrico Patrono
- Institute
of Physiology, Czech Academy of Sciences, Prague 12000, Czech Republic
| | - Bo Peng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | | | - Filippo Pierini
- Department
of Biosystems and Soft Matter, Institute
of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Monika Pötter-Nerger
- Head and
Neurocenter, Department of Neurology, University
Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Maria Pozzi
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Arnd Pralle
- University
at Buffalo, Department of Physics, Buffalo, New York 14260, United States
| | - Maurizio Prato
- CIC biomaGUNE, Basque Research and Technology
Alliance (BRTA), 20014 Donostia-San
Sebastián, Spain
- Department
of Chemical and Pharmaceutical Sciences, University of Trieste, 34127 Trieste, Italy
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Bing Qi
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- School
of Life Sciences, Southern University of
Science and Technology, Shenzhen, 518055, China
| | - Pedro Ramos-Cabrer
- CIC biomaGUNE, Basque Research and Technology
Alliance (BRTA), 20014 Donostia-San
Sebastián, Spain
- Basque
Foundation for Science, Ikerbasque, 48013 Bilbao, Spain
| | - Ute Resch Genger
- Division
Biophotonics, Federal Institute for Materials Research and Testing
(BAM), 12489 Berlin, Germany
| | - Norbert Ritter
- Executive
Faculty Board, Faculty for Mathematics, Informatics and Natural Sciences, Universität Hamburg, 20345 Hamburg, Germany
| | - Marten Rittner
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Sathi Roy
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
- Department
of Mechanical Engineering, Indian Institute
of Technology Kharagpur, Kharagpur 721302, India
| | - Francesca Santoro
- Institute
of Biological Information Processing - Bioelectronics, Forschungszentrum Jülich, 52425 Jülich, Germany
- Faculty
of Electrical Engineering and Information Technology, RWTH Aachen, 52074 Aachen, Germany
| | - Nicolas W. Schuck
- Institute
of Psychology, Universität Hamburg, 20146 Hamburg, Germany
- Max Planck
Research Group NeuroCode, Max Planck Institute
for Human Development, 14195 Berlin, Germany
- Max Planck
UCL Centre for Computational Psychiatry and Ageing Research, 14195 Berlin, Germany
| | - Florian Schulz
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Erkin Şeker
- University
of California, Davis, Davis, California 95616, United States
| | - Marvin Skiba
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Martin Sosniok
- Zentrum
für Angewandte Nanotechnologie CAN, Fraunhofer-Institut für Angewandte Polymerforschung IAP, 20146 Hamburg, Germany
| | - Holger Stephan
- Helmholtz-Zentrum
Dresden-Rossendorf, Institute of Radiopharmaceutical
Cancer Research, 01328 Dresden, Germany
| | - Ruixia Wang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- Deutsches
Elektronen-Synchrotron DESY, 22607 Hamburg, Germany
| | - Ting Wang
- State Key
Laboratory of Organic Electronics and Information Displays & Jiangsu
Key Laboratory for Biosensors, Institute of Advanced Materials (IAM),
Jiangsu National Synergetic Innovation Center for Advanced Materials
(SICAM), Nanjing University of Posts and
Telecommunications, Nanjing 210023, China
| | - K. David Wegner
- Division
Biophotonics, Federal Institute for Materials Research and Testing
(BAM), 12489 Berlin, Germany
| | - Paul S. Weiss
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los
Angeles, California 90095, United States
- California
Nanosystems Institute, University of California,
Los Angeles, Los Angeles, California 90095, United States
- Department
of Bioengineering, University of California,
Los Angeles, Los Angeles, California 90095, United States
- Department
of Materials Science and Engineering, University
of California, Los Angeles, Los
Angeles, California 90095, United States
| | - Ming Xu
- State Key
Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese
Academy of Sciences, Beijing 100085, China
- University
of the Chinese Academy of Sciences, Beijing 100049, China
| | - Chenxi Yang
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Seyed Shahrooz Zargarian
- Department
of Biosystems and Soft Matter, Institute
of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Yuan Zeng
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Yaofeng Zhou
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
| | - Dingcheng Zhu
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
- College
of Material, Chemistry and Chemical Engineering, Key Laboratory of
Organosilicon Chemistry and Material Technology, Ministry of Education,
Key Laboratory of Organosilicon Material Technology, Hangzhou Normal University, Hangzhou 311121, China
| | - Robert Zierold
- Fachbereich
Physik, Universität Hamburg, 22761 Hamburg, Germany
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3
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Zhou XA, Jiang Y, Gomez-Cid L, Yu X. Elucidating hemodynamics and neuro-glio-vascular signaling using rodent fMRI. Trends Neurosci 2025; 48:227-241. [PMID: 39843335 PMCID: PMC11903151 DOI: 10.1016/j.tins.2024.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 12/09/2024] [Accepted: 12/31/2024] [Indexed: 01/24/2025]
Abstract
Despite extensive functional mapping studies using rodent functional magnetic resonance imaging (fMRI), interpreting the fMRI signals in relation to their neuronal origins remains challenging due to the hemodynamic nature of the response. Ultra high-resolution rodent fMRI, beyond merely enhancing spatial specificity, has revealed vessel-specific hemodynamic responses, highlighting the distinct contributions of intracortical arterioles and venules to fMRI signals. This 'single-vessel' fMRI approach shifts the paradigm of rodent fMRI, enabling its integration with other neuroimaging modalities to investigate neuro-glio-vascular (NGV) signaling underlying a variety of brain dynamics. Here, we review the emerging trend of combining multimodal fMRI with opto/chemogenetic neuromodulation and genetically encoded biosensors for cellular and circuit-specific recording, offering unprecedented opportunities for cross-scale brain dynamic mapping in rodent models.
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Affiliation(s)
- Xiaoqing Alice Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
| | - Yuanyuan Jiang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Lidia Gomez-Cid
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Xin Yu
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
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4
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Meyer-Baese L, Jaeger D, Keilholz S. Neurovascular coupling: a review of spontaneous neocortical dynamics linking neuronal activity to hemodynamics and what we have learned from the rodent brain. J Neurophysiol 2025; 133:644-660. [PMID: 39819035 DOI: 10.1152/jn.00418.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Revised: 11/18/2024] [Accepted: 01/02/2025] [Indexed: 01/19/2025] Open
Abstract
The brain is a complex neural network whose functional dynamics offer valuable insights into behavioral performance and health. Advances in fMRI have provided a unique window into studying human brain networks, providing us with a powerful tool for clinical research. Yet many questions about the underlying correlates between spontaneous fMRI and neural activity remain poorly understood, limiting the impact of this research. Cross-species studies have proven essential in deepening our understanding of how neuronal activity is coupled to increases in local cerebral blood flow, changes in blood oxygenation, and the measured fMRI signal. In this article, we review some fundamental mechanisms implicated in neurovascular coupling. We then examine neurovascular coupling within the context of spontaneous cortical functional networks and their dynamics, summarizing key findings from mechanistic studies in rodents. In doing so, we highlight the nuances of the neurovascular coupling that ultimately influences the interpretation of derived hemodynamic functional networks, their dynamics, and the neural underpinnings they represent.
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Affiliation(s)
- Lisa Meyer-Baese
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States
- Department of Biology, Emory University, Atlanta, Georgia, United States
| | - Dieter Jaeger
- Department of Biology, Emory University, Atlanta, Georgia, United States
| | - Shella Keilholz
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States
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5
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Hike D, Liu X, Xie Z, Zhang B, Choi S, Zhou XA, Liu A, Murstein A, Jiang Y, Devor A, Yu X. High-resolution awake mouse fMRI at 14 tesla. eLife 2025; 13:RP95528. [PMID: 39786364 PMCID: PMC11717365 DOI: 10.7554/elife.95528] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2025] Open
Abstract
High-resolution awake mouse functional magnetic resonance imaging (fMRI) remains challenging despite extensive efforts to address motion-induced artifacts and stress. This study introduces an implantable radio frequency (RF) surface coil design that minimizes image distortion caused by the air/tissue interface of mouse brains while simultaneously serving as a headpost for fixation during scanning. Furthermore, this study provides a thorough acclimation method used to accustom animals to the MRI environment minimizing motion-induced artifacts. Using a 14 T scanner, high-resolution fMRI enabled brain-wide functional mapping of visual and vibrissa stimulation at 100 µm×100 µm×200 µm resolution with a 2 s per frame sampling rate. Besides activated ascending visual and vibrissa pathways, robust blood oxygen level-dependent (BOLD) responses were detected in the anterior cingulate cortex upon visual stimulation and spread through the ventral retrosplenial area (VRA) with vibrissa air-puff stimulation, demonstrating higher-order sensory processing in association cortices of awake mice. In particular, the rapid hemodynamic responses in VRA upon vibrissa stimulation showed a strong correlation with the hippocampus, thalamus, and prefrontal cortical areas. Cross-correlation analysis with designated VRA responses revealed early positive BOLD signals at the contralateral barrel cortex (BC) occurring 2 s prior to the air-puff in awake mice with repetitive stimulation, which was not detected using a randomized stimulation paradigm. This early BC activation indicated a learned anticipation through the vibrissa system and association cortices in awake mice under continuous exposure of repetitive air-puff stimulation. This work establishes a high-resolution awake mouse fMRI platform, enabling brain-wide functional mapping of sensory signal processing in higher association cortical areas.
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Affiliation(s)
- David Hike
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
| | - Xiaochen Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
| | - Zeping Xie
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
| | - Bei Zhang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
| | - Sangcheon Choi
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
| | - Xiaoqing Alice Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
| | - Andy Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
- Graduate Program in Neuroscience, Boston UniversityBostonUnited States
| | - Alyssa Murstein
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
- Graduate Program in Neuroscience, Boston UniversityBostonUnited States
| | - Yuanyuan Jiang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
| | - Anna Devor
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
- Department of Biomedical Engineering, Boston UniversityBostonUnited States
| | - Xin Yu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General HospitalCharlestownUnited States
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6
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Bricault S, Dawson M, Lee J, Desai M, Schwalm M, Chung KS, DeTienne E, Fagan E, Li N, Becker A, Muthupalani S, Fränken JP, Pinotsis DA, Jasanoff A. Peripheral contributions to resting state brain dynamics. Nat Commun 2024; 15:10820. [PMID: 39737991 PMCID: PMC11685439 DOI: 10.1038/s41467-024-55064-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 11/28/2024] [Indexed: 01/01/2025] Open
Abstract
The correlational structure of brain activity dynamics in the absence of stimuli or behavior is often taken to reveal intrinsic properties of neural function. To test the limits of this assumption, we analyzed peripheral contributions to resting state activity measured by fMRI in unanesthetized, chemically immobilized male rats that emulate human neuroimaging conditions. We find that perturbation of somatosensory input channels modifies correlation strengths that relate somatosensory areas both to one another and to higher-order brain regions, despite the absence of ostensible stimuli or movements. Resting state effects are mediated by the same peripheral and thalamic structures that relay responses to overt sensory stimuli. The impact of basal peripheral input is reduced in a rat model of autism, which displays both lower somatosensory functional connectivity and insensitivity to vibrissa inactivation. These results demonstrate the influence of extrinsic influences on resting state brain phenotypes in health and disease.
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Affiliation(s)
- Sarah Bricault
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
- Department of Biology, Massachusetts Institute of Technology, Cambridge, US
| | - Miranda Dawson
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
| | - Jiyoung Lee
- Department of Neurobiology, Wellesley College, Wellesley, US
| | - Mitul Desai
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
| | - Miriam Schwalm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
| | - Kevin Sunho Chung
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
| | - Elizabeth DeTienne
- Department of Electrical Engineering & Computer Science, Massachusetts Institute of Technology, Cambridge, US
| | - Erinn Fagan
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
| | - Nan Li
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
| | - Andrew Becker
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US
| | | | - Jan-Philipp Fränken
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Dimitris A Pinotsis
- Center for Mathematical Neuroscience and Psychology, Department of Psychology, City, University of London, London, United Kingdom
- Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, US
| | - Alan Jasanoff
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, US.
- Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, US.
- Department of Nuclear Science & Engineering, Massachusetts Institute of Technology, Cambridge, US.
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7
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Lee S, Jung WB, Moon H, Im GH, Noh YW, Shin W, Kim YG, Yi JH, Hong SJ, Jung Y, Ahn S, Kim SG, Kim E. Anterior cingulate cortex-related functional hyperconnectivity underlies sensory hypersensitivity in Grin2b-mutant mice. Mol Psychiatry 2024; 29:3195-3207. [PMID: 38704508 PMCID: PMC11449790 DOI: 10.1038/s41380-024-02572-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/06/2024]
Abstract
Sensory abnormalities are observed in ~90% of individuals with autism spectrum disorders (ASD), but the underlying mechanisms are poorly understood. GluN2B, an NMDA receptor subunit that regulates long-term depression and circuit refinement during brain development, has been strongly implicated in ASD, but whether GRIN2B mutations lead to sensory abnormalities remains unclear. Here, we report that Grin2b-mutant mice show behavioral sensory hypersensitivity and brain hyperconnectivity associated with the anterior cingulate cortex (ACC). Grin2b-mutant mice with a patient-derived C456Y mutation (Grin2bC456Y/+) show sensory hypersensitivity to mechanical, thermal, and electrical stimuli through supraspinal mechanisms. c-fos and functional magnetic resonance imaging indicate that the ACC is hyperactive and hyperconnected with other brain regions under baseline and stimulation conditions. ACC pyramidal neurons show increased excitatory synaptic transmission. Chemogenetic inhibition of ACC pyramidal neurons normalizes ACC hyperconnectivity and sensory hypersensitivity. These results suggest that GluN2B critically regulates ASD-related cortical connectivity and sensory brain functions.
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Affiliation(s)
- Soowon Lee
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Korea
| | - Won Beom Jung
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, Korea
- Emotion, Cognition & Behavior Research Group, Korea Brain Research Institute (KBRI), Daegu, 41062, Korea
| | - Heera Moon
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea
| | - Geun Ho Im
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, Korea
| | - Young Woo Noh
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS), Daejeon, 34141, Korea
| | - Wangyong Shin
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS), Daejeon, 34141, Korea
| | - Yong Gyu Kim
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS), Daejeon, 34141, Korea
| | - Jee Hyun Yi
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS), Daejeon, 34141, Korea
| | - Seok Jun Hong
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, Korea
| | - Yongwhan Jung
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Korea
| | - Sunjoo Ahn
- Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon, 34114, Korea
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, 16419, Korea.
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, 16419, Korea.
| | - Eunjoon Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea.
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science (IBS), Daejeon, 34141, Korea.
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8
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Li Y, Lee SH, Yu C, Hsu LM, Wang TWW, Do K, Kim HJ, Shih YYI, Grill WM. Optogenetic fMRI reveals therapeutic circuits of subthalamic nucleus deep brain stimulation. Brain Stimul 2024; 17:947-957. [PMID: 39096961 PMCID: PMC11364984 DOI: 10.1016/j.brs.2024.07.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 07/11/2024] [Accepted: 07/31/2024] [Indexed: 08/05/2024] Open
Abstract
While deep brain stimulation (DBS) is widely employed for managing motor symptoms in Parkinson's disease (PD), its exact circuit mechanisms remain controversial. To identify the neural targets affected by therapeutic DBS in PD, we analyzed DBS-evoked whole brain activity in female hemi-parkinsonian rats using functional magnetic resonance imaging (fMRI). We delivered subthalamic nucleus (STN) DBS at various stimulation pulse repetition rates using optogenetics, allowing unbiased examination of cell-type specific STN feedforward neural activity. Unilateral optogenetic STN DBS elicited pulse repetition rate-dependent alterations of blood-oxygenation-level-dependent (BOLD) signals in SNr (substantia nigra pars reticulata), GP (globus pallidus), and CPu (caudate putamen). Notably, this modulation effectively ameliorated pathological circling behavior in animals expressing the kinetically faster Chronos opsin, but not in animals expressing ChR2. Furthermore, mediation analysis revealed that the pulse repetition rate-dependent behavioral rescue was significantly mediated by optogenetic DBS induced activity changes in GP and CPu, but not in SNr. This suggests that the activation of GP and CPu are critically involved in the therapeutic mechanisms of STN DBS.
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Affiliation(s)
- Yuhui Li
- Department of Biomedical Engineering, USA
| | - Sung-Ho Lee
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Chunxiu Yu
- Department of Biomedical Engineering, USA
| | - Li-Ming Hsu
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Tzu-Wen W Wang
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA
| | - Khoa Do
- Department of Biomedical Engineering, USA
| | - Hyeon-Joong Kim
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC, USA
| | - Yen-Yu Ian Shih
- Center for Animal MRI, University of North Carolina, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, NC, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC, USA.
| | - Warren M Grill
- Department of Biomedical Engineering, USA; Department of Electrical and Computer Engineering, USA; Department of Neurobiology, Duke University, Durham, NC, USA; Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA.
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9
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Zou Y, Tong C, Peng W, Qiu Y, Li J, Xia Y, Pei M, Zhang K, Li W, Xu M, Liang Z. Cell-type-specific optogenetic fMRI on basal forebrain reveals functional network basis of behavioral preference. Neuron 2024; 112:1342-1357.e6. [PMID: 38359827 DOI: 10.1016/j.neuron.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/12/2023] [Accepted: 01/16/2024] [Indexed: 02/17/2024]
Abstract
The basal forebrain (BF) is a complex structure that plays key roles in regulating various brain functions. However, it remains unclear how cholinergic and non-cholinergic BF neurons modulate large-scale functional networks and their relevance in intrinsic and extrinsic behaviors. With an optimized awake mouse optogenetic fMRI approach, we revealed that optogenetic stimulation of four BF neuron types evoked distinct cell-type-specific whole-brain BOLD activations, which could be attributed to BF-originated low-dimensional structural networks. Additionally, optogenetic activation of VGLUT2, ChAT, and PV neurons in the BF modulated the preference for locomotion, exploration, and grooming, respectively. Furthermore, we uncovered the functional network basis of the above BF-modulated behavioral preference through a decoding model linking the BF-modulated BOLD activation, low-dimensional structural networks, and behavioral preference. To summarize, we decoded the functional network basis of differential behavioral preferences with cell-type-specific optogenetic fMRI on the BF and provided an avenue for investigating mouse behaviors from a whole-brain view.
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Affiliation(s)
- Yijuan Zou
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 201602, China
| | - Chuanjun Tong
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 201602, China
| | - Wanling Peng
- Songjiang Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - Yue Qiu
- Cardiac Intensive Care Center, Zhongshan Hospital, Fudan University Shanghai, Shanghai 200032, China
| | - Jiangxue Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Ying Xia
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Mengchao Pei
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Kaiwei Zhang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Weishuai Li
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Min Xu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Zhifeng Liang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; International Center for Primate Brain Research, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 201602, China.
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10
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Zhu H, Tao Y, Wang S, Zhu X, Lin K, Zheng N, Chen LM, Xu F, Wu R. fMRI, LFP, and anatomical evidence for hierarchical nociceptive routing pathway between somatosensory and insular cortices. Neuroimage 2024; 289:120549. [PMID: 38382864 DOI: 10.1016/j.neuroimage.2024.120549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/06/2024] [Accepted: 02/19/2024] [Indexed: 02/23/2024] Open
Abstract
The directional organization of multiple nociceptive regions, particularly within obscure operculoinsular areas, underlying multidimensional pain processing remains elusive. This study aims to establish the fundamental organization between somatosensory and insular cortices in routing nociceptive information. By employing an integrated multimodal approach of high-field fMRI, intracranial electrophysiology, and transsynaptic viral tracing in rats, we observed a hierarchically organized connection of S1/S2 → posterior insula → anterior insula in routing nociceptive information. The directional nociceptive pathway determined by early fMRI responses was consistent with that examined by early evoked LFP, intrinsic effective connectivity, and anatomical projection, suggesting fMRI could provide a valuable facility to discern directional neural circuits in animals and humans non-invasively. Moreover, our knowledge of the nociceptive hierarchical organization of somatosensory and insular cortices and the interface role of the posterior insula may have implications for the development of targeted pain therapies.
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Affiliation(s)
- Hongyan Zhu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Yan Tao
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Siqi Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Xutao Zhu
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Kunzhang Lin
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Ning Zheng
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Li Min Chen
- Vanderbilt University Institute of Imaging Science and Department of Psychology, Vanderbilt University, Nashville, TN 37232, USA.
| | - Fuqiang Xu
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China.
| | - Ruiqi Wu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China; Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai 200031, China.
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11
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Dinh TNA, Moon HS, Kim SG. Separation of bimodal fMRI responses in mouse somatosensory areas into V1 and non-V1 contributions. Sci Rep 2024; 14:6302. [PMID: 38491035 PMCID: PMC10943206 DOI: 10.1038/s41598-024-56305-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/05/2024] [Indexed: 03/18/2024] Open
Abstract
Multisensory integration is necessary for the animal to survive in the real world. While conventional methods have been extensively used to investigate the multisensory integration process in various brain areas, its long-range interactions remain less explored. In this study, our goal was to investigate interactions between visual and somatosensory networks on a whole-brain scale using 15.2-T BOLD fMRI. We compared unimodal to bimodal BOLD fMRI responses and dissected potential cross-modal pathways with silencing of primary visual cortex (V1) by optogenetic stimulation of local GABAergic neurons. Our data showed that the influence of visual stimulus on whisker activity is higher than the influence of whisker stimulus on visual activity. Optogenetic silencing of V1 revealed that visual information is conveyed to whisker processing via both V1 and non-V1 pathways. The first-order ventral posteromedial thalamic nucleus (VPM) was functionally affected by non-V1 sources, while the higher-order posterior medial thalamic nucleus (POm) was predominantly modulated by V1 but not non-V1 inputs. The primary somatosensory barrel field (S1BF) was influenced by both V1 and non-V1 inputs. These observations provide valuable insights for into the integration of whisker and visual sensory information.
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Affiliation(s)
- Thi Ngoc Anh Dinh
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, 16419, South Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Hyun Seok Moon
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, 16419, South Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, 16419, South Korea.
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, 16419, South Korea.
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12
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Cerri DH, Albaugh DL, Walton LR, Katz B, Wang TW, Chao THH, Zhang W, Nonneman RJ, Jiang J, Lee SH, Etkin A, Hall CN, Stuber GD, Shih YYI. Distinct neurochemical influences on fMRI response polarity in the striatum. Nat Commun 2024; 15:1916. [PMID: 38429266 PMCID: PMC10907631 DOI: 10.1038/s41467-024-46088-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 02/13/2024] [Indexed: 03/03/2024] Open
Abstract
The striatum, known as the input nucleus of the basal ganglia, is extensively studied for its diverse behavioral roles. However, the relationship between its neuronal and vascular activity, vital for interpreting functional magnetic resonance imaging (fMRI) signals, has not received comprehensive examination within the striatum. Here, we demonstrate that optogenetic stimulation of dorsal striatal neurons or their afferents from various cortical and subcortical regions induces negative striatal fMRI responses in rats, manifesting as vasoconstriction. These responses occur even with heightened striatal neuronal activity, confirmed by electrophysiology and fiber-photometry. In parallel, midbrain dopaminergic neuron optogenetic modulation, coupled with electrochemical measurements, establishes a link between striatal vasodilation and dopamine release. Intriguingly, in vivo intra-striatal pharmacological manipulations during optogenetic stimulation highlight a critical role of opioidergic signaling in generating striatal vasoconstriction. This observation is substantiated by detecting striatal vasoconstriction in brain slices after synthetic opioid application. In humans, manipulations aimed at increasing striatal neuronal activity likewise elicit negative striatal fMRI responses. Our results emphasize the necessity of considering vasoactive neurotransmission alongside neuronal activity when interpreting fMRI signal.
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Affiliation(s)
- Domenic H Cerri
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Daniel L Albaugh
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Lindsay R Walton
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brittany Katz
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tzu-Wen Wang
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Tzu-Hao Harry Chao
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Weiting Zhang
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Randal J Nonneman
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jing Jiang
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
- Iowa Neuroscience Institute, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Sung-Ho Lee
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Amit Etkin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Alto Neuroscience, Los Altos, CA, USA
| | - Catherine N Hall
- Sussex Neuroscience, University of Sussex, Falmer, United Kingdom
- School of Psychology, University of Sussex, Falmer, United Kingdom
| | - Garret D Stuber
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Department of Pharmacology, University of Washington, Seattle, WA, USA
| | - Yen-Yu Ian Shih
- Center for Animal MRI, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Biomedical Research Imaging Center, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Neurology, the University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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13
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Li Y, Lee SH, Yu C, Hsu LM, Wang TWW, Do K, Kim HJ, Shih YYI, Grill WM. Optogenetic fMRI reveals therapeutic circuits of subthalamic nucleus deep brain stimulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.22.581627. [PMID: 38464010 PMCID: PMC10925223 DOI: 10.1101/2024.02.22.581627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
While deep brain stimulation (DBS) is widely employed for managing motor symptoms in Parkinson's disease (PD), its exact circuit mechanisms remain controversial. To identify the neural targets affected by therapeutic DBS in PD, we analyzed DBS-evoked whole brain activity in female hemi-parkinsonian rats using function magnetic resonance imaging (fMRI). We delivered subthalamic nucleus (STN) DBS at various stimulation pulse repetition rates using optogenetics, allowing unbiased examinations of cell-type specific STN feed-forward neural activity. Unilateral STN optogenetic stimulation elicited pulse repetition rate-dependent alterations of blood-oxygenation-level-dependent (BOLD) signals in SNr (substantia nigra pars reticulata), GP (globus pallidus), and CPu (caudate putamen). Notably, these manipulations effectively ameliorated pathological circling behavior in animals expressing the kinetically faster Chronos opsin, but not in animals expressing ChR2. Furthermore, mediation analysis revealed that the pulse repetition rate-dependent behavioral rescue was significantly mediated by optogenetically induced activity changes in GP and CPu, but not in SNr. This suggests that the activation of GP and CPu are critically involved in the therapeutic mechanisms of STN DBS.
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14
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Chen Y, Fernandez Z, Scheel N, Gifani M, Zhu DC, Counts SE, Dorrance AM, Razansky D, Yu X, Qian W, Qian C. Novel inductively coupled ear-bars (ICEs) to enhance restored fMRI signal from susceptibility compensation in rats. Cereb Cortex 2024; 34:bhad479. [PMID: 38100332 PMCID: PMC10793587 DOI: 10.1093/cercor/bhad479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 12/17/2023] Open
Abstract
Functional magnetic resonance imaging faces inherent challenges when applied to deep-brain areas in rodents, e.g. entorhinal cortex, due to the signal loss near the ear cavities induced by susceptibility artifacts and reduced sensitivity induced by the long distance from the surface array coil. Given the pivotal roles of deep brain regions in various diseases, optimized imaging techniques are needed. To mitigate susceptibility-induced signal losses, we introduced baby cream into the middle ear. To enhance the detection sensitivity of deep brain regions, we implemented inductively coupled ear-bars, resulting in approximately a 2-fold increase in sensitivity in entorhinal cortex. Notably, the inductively coupled ear-bar can be seamlessly integrated as an add-on device, without necessitating modifications to the scanner interface. To underscore the versatility of inductively coupled ear-bars, we conducted echo-planner imaging-based task functional magnetic resonance imaging in rats modeling Alzheimer's disease. As a proof of concept, we also demonstrated resting-state-functional magnetic resonance imaging connectivity maps originating from the left entorhinal cortex-a central hub for memory and navigation networks-to amygdala hippocampal area, Insular Cortex, Prelimbic Systems, Cingulate Cortex, Secondary Visual Cortex, and Motor Cortex. This work demonstrates an optimized procedure for acquiring large-scale networks emanating from a previously challenging seed region by conventional magnetic resonance imaging detectors, thereby facilitating improved observation of functional magnetic resonance imaging outcomes.
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Affiliation(s)
- Yi Chen
- Department of High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen 72076, Germany
- Department of Radiology and Cognitive Imaging Research Center, Michigan State University, East Lansing, MI 48824, United States
| | - Zachary Fernandez
- Department of Radiology and Cognitive Imaging Research Center, Michigan State University, East Lansing, MI 48824, United States
- Neuroscience Program, Michigan State University, East Lansing, MI 48824, United States
| | - Norman Scheel
- Department of Radiology and Cognitive Imaging Research Center, Michigan State University, East Lansing, MI 48824, United States
| | - Mahsa Gifani
- Department of Translational Neuroscience, Michigan State University, Grand Rapids, MI 49503, United States
| | - David C Zhu
- Department of Radiology and Cognitive Imaging Research Center, Michigan State University, East Lansing, MI 48824, United States
- Neuroscience Program, Michigan State University, East Lansing, MI 48824, United States
| | - Scott E Counts
- Neuroscience Program, Michigan State University, East Lansing, MI 48824, United States
- Department of Translational Neuroscience, Michigan State University, Grand Rapids, MI 49503, United States
- Department of Family Medicine, Michigan State University, Grand Rapids, MI 49503, United States
- Department of Hauenstein Neurosciences Center, Mercy Health Saint Mary’s Hospital, Grand Rapids, MI 49508, United States
- Michigan Alzheimer’s Disease Research Center, Ann Arbor, MI 48105, United States
| | - Anne M Dorrance
- Neuroscience Program, Michigan State University, East Lansing, MI 48824, United States
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, MI 48824, United States
| | - Daniel Razansky
- Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Zurich 8006, Switzerland
- Department of Information Technology and Electrical Engineering, ETH Zurich, Institute for Biomedical Engineering, , Zurich 8092, Switzerland
- Zurich Neuroscience Center, Zurich 8057, Switzerland
| | - Xin Yu
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02114, United States
| | - Wei Qian
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, United States
| | - Chunqi Qian
- Department of Radiology and Cognitive Imaging Research Center, Michigan State University, East Lansing, MI 48824, United States
- Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, United States
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15
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Thapak P, Smith G, Ying Z, Paydar A, Harris N, Gomez-Pinilla F. The BDNF mimetic R-13 attenuates TBI pathogenesis using TrkB-related pathways and bioenergetics. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166781. [PMID: 37286142 PMCID: PMC10619508 DOI: 10.1016/j.bbadis.2023.166781] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 06/09/2023]
Abstract
Traumatic brain injury (TBI) is major neurological burden globally, and effective treatments are urgently needed. TBI is characterized by a reduction in energy metabolism and synaptic function that seems a primary cause of neuronal dysfunction. R13, a small drug and BDNF mimetic showed promising results in improving spatial memory and anxiety-like behavior after TBI. Additionally, R13 was found to counteract reductions in molecules associated with BDNF signaling (p-TrkB, p-PI3K, p-AKT), synaptic plasticity (GluR2, PSD95, Synapsin I) as well as bioenergetic components such as mitophagy (SOD, PGC-1α, PINK1, Parkin, BNIP3, and LC3) and real-time mitochondrial respiratory capacity. Behavioral and molecular changes were accompanied by adaptations in functional connectivity assessed using MRI. Results highlight the potential of R13 as a therapeutic agent for TBI and provide valuable insights into the molecular and functional changes associated with this condition.
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Affiliation(s)
- Pavan Thapak
- Dept. Integrative Biology and Physiology, UCLA, Los Angeles, CA, United States of America
| | - Gregory Smith
- Department of Neurosurgery, UCLA David Geffen School of Medicine, Los Angeles, CA, United States of America; UCLA Brain Injury Research Center, Los Angeles, CA, United States of America
| | - Zhe Ying
- Dept. Integrative Biology and Physiology, UCLA, Los Angeles, CA, United States of America
| | - Afshin Paydar
- Department of Neurosurgery, UCLA David Geffen School of Medicine, Los Angeles, CA, United States of America; UCLA Brain Injury Research Center, Los Angeles, CA, United States of America
| | - Neil Harris
- Department of Neurosurgery, UCLA David Geffen School of Medicine, Los Angeles, CA, United States of America; UCLA Brain Injury Research Center, Los Angeles, CA, United States of America; Intellectual Development and Disabilities Research Center, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Fernando Gomez-Pinilla
- Dept. Integrative Biology and Physiology, UCLA, Los Angeles, CA, United States of America; Department of Neurosurgery, UCLA David Geffen School of Medicine, Los Angeles, CA, United States of America; UCLA Brain Injury Research Center, Los Angeles, CA, United States of America.
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16
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Kim S, Jo Y, Im GH, Lee C, Oh C, Kook G, Kim SG, Lee HJ. Miniaturized MR-compatible ultrasound system for real-time monitoring of acoustic effects in mice using high-resolution MRI. Neuroimage 2023; 276:120201. [PMID: 37269955 DOI: 10.1016/j.neuroimage.2023.120201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/05/2023] Open
Abstract
Visualization of focused ultrasound in high spatial and temporal resolution is crucial for accurately and precisely targeting brain regions noninvasively. Magnetic resonance imaging (MRI) is the most widely used noninvasive tool for whole-brain imaging. However, focused ultrasound studies employing high-resolution (> 9.4 T) MRI in small animals are limited by the small size of the radiofrequency (RF) volume coil and the noise sensitivity of the image to external systems such as bulky ultrasound transducers. This technical note reports a miniaturized ultrasound transducer system packaged directly above a mouse brain for monitoring ultrasound-induced effects using high-resolution 9.4 T MRI. Our miniaturized system integrates MR-compatible materials with electromagnetic (EM) noise reduction techniques to demonstrate echo-planar imaging (EPI) signal changes in the mouse brain at various ultrasound acoustic intensities. The proposed ultrasound-MRI system will enable extensive research in the expanding field of ultrasound therapeutics.
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Affiliation(s)
- Subeen Kim
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
| | - Yehhyun Jo
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
| | - Geun Ho Im
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea
| | - Chanhee Lee
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea
| | - Chaerin Oh
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
| | - Geon Kook
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, South Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, South Korea.
| | - Hyunjoo J Lee
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, South Korea; KAIST Institute for Nano Century (KINC), Daejeon 34141, South Korea.
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17
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Kim S, Moon HS, Vo TT, Kim CH, Im GH, Lee S, Choi M, Kim SG. Whole-brain mapping of effective connectivity by fMRI with cortex-wide patterned optogenetics. Neuron 2023; 111:1732-1747.e6. [PMID: 37001524 DOI: 10.1016/j.neuron.2023.03.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/23/2022] [Accepted: 03/02/2023] [Indexed: 04/03/2023]
Abstract
Functional magnetic resonance imaging (fMRI) with optogenetic neural manipulation is a powerful tool that enables brain-wide mapping of effective functional networks. To achieve flexible manipulation of neural excitation throughout the mouse cortex, we incorporated spatiotemporal programmable optogenetic stimuli generated by a digital micromirror device into an MRI scanner via an optical fiber bundle. This approach offered versatility in space and time in planning the photostimulation pattern, combined with in situ optical imaging and cell-type-specific or circuit-specific genetic targeting in individual mice. Brain-wide effective connectivity obtained by fMRI with optogenetic stimulation of atlas-based cortical regions is generally congruent with anatomically defined axonal tracing data but is affected by the types of anesthetics that act selectively on specific connections. fMRI combined with flexible optogenetics opens a new path to investigate dynamic changes in functional brain states in the same animal through high-throughput brain-wide effective connectivity mapping.
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Affiliation(s)
- Seonghoon Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
| | - Hyun Seok Moon
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Thanh Tan Vo
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Chang-Ho Kim
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea; Institute of Molecular Biology and Genetics, Seoul National University, Seoul, Republic of Korea
| | - Geun Ho Im
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea
| | - Sungho Lee
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
| | - Myunghwan Choi
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul, Republic of Korea; Institute of Molecular Biology and Genetics, Seoul National University, Seoul, Republic of Korea.
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea.
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18
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Wang X, Leong ATL, Tan SZK, Wong EC, Liu Y, Lim LW, Wu EX. Functional MRI reveals brain-wide actions of thalamically-initiated oscillatory activities on associative memory consolidation. Nat Commun 2023; 14:2195. [PMID: 37069169 PMCID: PMC10110623 DOI: 10.1038/s41467-023-37682-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/27/2023] [Indexed: 04/19/2023] Open
Abstract
As a key oscillatory activity in the brain, thalamic spindle activities are long believed to support memory consolidation. However, their propagation characteristics and causal actions at systems level remain unclear. Using functional MRI (fMRI) and electrophysiology recordings in male rats, we found that optogenetically-evoked somatosensory thalamic spindle-like activities targeted numerous sensorimotor (cortex, thalamus, brainstem and basal ganglia) and non-sensorimotor limbic regions (cortex, amygdala, and hippocampus) in a stimulation frequency- and length-dependent manner. Thalamic stimulation at slow spindle frequency (8 Hz) and long spindle length (3 s) evoked the most robust brain-wide cross-modal activities. Behaviorally, evoking these global cross-modal activities during memory consolidation improved visual-somatosensory associative memory performance. More importantly, parallel visual fMRI experiments uncovered response potentiation in brain-wide sensorimotor and limbic integrative regions, especially superior colliculus, periaqueductal gray, and insular, retrosplenial and frontal cortices. Our study directly reveals that thalamic spindle activities propagate in a spatiotemporally specific manner and that they consolidate associative memory by strengthening multi-target memory representation.
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Affiliation(s)
- Xunda Wang
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Alex T L Leong
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Shawn Z K Tan
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Eddie C Wong
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Yilong Liu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Lee-Wei Lim
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Ed X Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
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19
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Zhang Z, Zagha E. Motor cortex gates distractor stimulus encoding in sensory cortex. Nat Commun 2023; 14:2097. [PMID: 37055425 PMCID: PMC10102016 DOI: 10.1038/s41467-023-37848-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 03/31/2023] [Indexed: 04/15/2023] Open
Abstract
Suppressing responses to distractor stimuli is a fundamental cognitive function, essential for performing goal-directed tasks. A common framework for the neuronal implementation of distractor suppression is the attenuation of distractor stimuli from early sensory to higher-order processing. However, details of the localization and mechanisms of attenuation are poorly understood. We trained mice to selectively respond to target stimuli in one whisker field and ignore distractor stimuli in the opposite whisker field. During expert task performance, optogenetic inhibition of whisker motor cortex increased the overall tendency to respond and the detection of distractor whisker stimuli. Within sensory cortex, optogenetic inhibition of whisker motor cortex enhanced the propagation of distractor stimuli into target-preferring neurons. Single unit analyses revealed that whisker motor cortex (wMC) decorrelates target and distractor stimulus encoding in target-preferring primary somatosensory cortex (S1) neurons, which likely improves selective target stimulus detection by downstream readers. Moreover, we observed proactive top-down modulation from wMC to S1, through the differential activation of putative excitatory and inhibitory neurons before stimulus onset. Overall, our studies support a contribution of motor cortex to sensory selection, in suppressing behavioral responses to distractor stimuli by gating distractor stimulus propagation within sensory cortex.
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Affiliation(s)
- Zhaoran Zhang
- Neuroscience Graduate Program, University of California Riverside, Riverside, CA, 92521, USA
| | - Edward Zagha
- Neuroscience Graduate Program, University of California Riverside, Riverside, CA, 92521, USA.
- Department of Psychology, University of California Riverside, Riverside, CA, 92521, USA.
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20
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Hemodynamic transient and functional connectivity follow structural connectivity and cell type over the brain hierarchy. Proc Natl Acad Sci U S A 2023; 120:e2202435120. [PMID: 36693103 PMCID: PMC9945945 DOI: 10.1073/pnas.2202435120] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
The neural circuit of the brain is organized as a hierarchy of functional units with wide-ranging connections that support information flow and functional connectivity. Studies using MRI indicate a moderate coupling between structural and functional connectivity at the system level. However, how do connections of different directions (feedforward and feedback) and regions with different excitatory and inhibitory (E/I) neurons shape the hemodynamic activity and functional connectivity over the hierarchy are unknown. Here, we used functional MRI to detect optogenetic-evoked and resting-state activities over a somatosensory pathway in the mouse brain in relation to axonal projection and E/I distribution. Using a highly sensitive ultrafast imaging, we identified extensive activation in regions up to the third order of axonal projections following optogenetic excitation of the ventral posteriomedial nucleus of the thalamus. The evoked response and functional connectivity correlated with feedforward projections more than feedback projections and weakened with the hierarchy. The hemodynamic response exhibited regional and hierarchical differences, with slower and more variable responses in high-order areas and bipolar response predominantly in the contralateral cortex. Electrophysiological recordings suggest that these reflect differences in neural activity rather than neurovascular coupling. Importantly, the positive and negative parts of the hemodynamic response correlated with E/I neuronal densities, respectively. Furthermore, resting-state functional connectivity was more associated with E/I distribution, whereas stimulus-evoked effective connectivity followed structural wiring. These findings indicate that the structure-function relationship is projection-, cell-type- and hierarchy-dependent. Hemodynamic transients could reflect E/I activity and the increased complexity of hierarchical processing.
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21
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Shim HJ, Im GH, Jung WB, Moon HS, Dinh TNA, Lee JY, Kim SG. Protocol for mouse optogenetic fMRI at ultrahigh magnetic fields. STAR Protoc 2022; 3:101846. [PMID: 36595930 PMCID: PMC9768354 DOI: 10.1016/j.xpro.2022.101846] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/26/2022] [Accepted: 10/21/2022] [Indexed: 12/14/2022] Open
Abstract
Mouse optogenetic functional magnetic resonance imaging (opto-fMRI) is critical for linking genes and functions and for mapping cell-type-specific neural circuits in the whole brain. Herein, we describe how opto-fMRI images can be reliably obtained in anesthetized mice with minimal distortions at ultrahigh magnetic fields. The protocol includes surgical and anesthesia procedures, animal cradle modification, animal preparation and setup, animal physiology maintenance, and pilot fMRI scanning. This protocol will enable reproducible mouse opto-fMRI experiments. For complete details on the use and execution of this protocol, please refer to Jung et al. (2021),1 Jung et al. (2022),2 and Moon et al. (2021).3.
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Affiliation(s)
- Hyun-Ji Shim
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea,Corresponding author
| | - Geun Ho Im
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
| | - Won Beom Jung
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
| | - Hyun Seok Moon
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea,Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Thi Ngoc Anh Dinh
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea,Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Jeong-Yun Lee
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea,Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea,Corresponding author
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22
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Qi J, Ye C, Naskar S, Inácio AR, Lee S. Posteromedial thalamic nucleus activity significantly contributes to perceptual discrimination. PLoS Biol 2022; 20:e3001896. [PMID: 36441759 PMCID: PMC9731480 DOI: 10.1371/journal.pbio.3001896] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 12/08/2022] [Accepted: 10/28/2022] [Indexed: 11/29/2022] Open
Abstract
Higher-order sensory thalamic nuclei are densely connected with multiple cortical and subcortical areas, yet the role of these nuclei remains elusive. The posteromedial thalamic nucleus (POm), the higher-order thalamic nucleus in the rodent somatosensory system, is an anatomical hub broadly connected with multiple sensory and motor brain areas yet weakly responds to passive sensory stimulation and whisker movements. To understand the role of POm in sensory perception, we developed a self-initiated, two-alternative forced-choice task in freely moving mice during active sensing. Using optogenetic and chemogenetic manipulation, we show that POm plays a significant role in sensory perception and the projection from the primary somatosensory cortex to POm is critical for the contribution of POm in sensory perception during active sensing.
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Affiliation(s)
- Jia Qi
- Unit on Functional Neural Circuits, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Changquan Ye
- Unit on Functional Neural Circuits, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Shovan Naskar
- Unit on Functional Neural Circuits, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Ana R. Inácio
- Unit on Functional Neural Circuits, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Soohyun Lee
- Unit on Functional Neural Circuits, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail:
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23
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Lee JH, Liu Q, Dadgar-Kiani E. Solving brain circuit function and dysfunction with computational modeling and optogenetic fMRI. Science 2022; 378:493-499. [PMID: 36327349 PMCID: PMC10543742 DOI: 10.1126/science.abq3868] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Can we construct a model of brain function that enables an understanding of whole-brain circuit mechanisms underlying neurological disease and use it to predict the outcome of therapeutic interventions? How are pathologies in neurological disease, some of which are observed to have spatial spreading mechanisms, associated with circuits and brain function? In this review, we discuss approaches that have been used to date and future directions that can be explored to answer these questions. By combining optogenetic functional magnetic resonance imaging (fMRI) with computational modeling, cell type-specific, large-scale brain circuit function and dysfunction are beginning to be quantitatively parameterized. We envision that these developments will pave the path for future therapeutics developments based on a systems engineering approach aimed at directly restoring brain function.
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Affiliation(s)
- Jin Hyung Lee
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA
- Department of Electrical Engineering, Stanford University, CA 94305, USA
| | - Qin Liu
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Ehsan Dadgar-Kiani
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
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24
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Lee JY, You T, Woo CW, Kim SG. Optogenetic fMRI for Brain-Wide Circuit Analysis of Sensory Processing. Int J Mol Sci 2022; 23:ijms232012268. [PMID: 36293125 PMCID: PMC9602603 DOI: 10.3390/ijms232012268] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/12/2022] [Accepted: 10/12/2022] [Indexed: 11/20/2022] Open
Abstract
Sensory processing is a complex neurological process that receives, integrates, and responds to information from one's own body and environment, which is closely related to survival as well as neurological disorders. Brain-wide networks of sensory processing are difficult to investigate due to their dynamic regulation by multiple brain circuits. Optogenetics, a neuromodulation technique that uses light-sensitive proteins, can be combined with functional magnetic resonance imaging (ofMRI) to measure whole-brain activity. Since ofMRI has increasingly been used for investigating brain circuits underlying sensory processing for over a decade, we systematically reviewed recent ofMRI studies of sensory circuits and discussed the challenges of optogenetic fMRI in rodents.
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Affiliation(s)
- Jeong-Yun Lee
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Korea
| | - Taeyi You
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Korea
| | - Choong-Wan Woo
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Korea
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Korea
- Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Korea
- Correspondence: ; Tel.: +82-31-299-4350; Fax: +82-31-299-4506
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25
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Zhou Z, Chen S, Li Y, Zhao J, Li G, Chen L, Wu Y, Zhang S, Shi X, Chen X, Xu S, Ren M, Chang S, Shan C. Comparison of Sensory Observation and Somatosensory Stimulation in Mirror Neurons and the Sensorimotor Network: A Task-Based fMRI Study. Front Neurol 2022; 13:916990. [PMID: 35847217 PMCID: PMC9279701 DOI: 10.3389/fneur.2022.916990] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 05/25/2022] [Indexed: 12/03/2022] Open
Abstract
Objective This study aimed to investigate brain plasticity by somatosensory stimulation (SS) and sensory observation (SO) based on mirror neuron and embodied cognition theory. Action observation therapy has been widely adopted for motor function improvement in post-stroke patients. However, it is uncertain whether the SO approach can also contribute to the recovery of sensorimotor function after stroke. In this study, we explored the therapeutic potential of SO for sensorimotor dysfunction and provided new evidence for neurorehabilitation. Methods Twenty-six healthy right-handed adults (12 men and 14 women), aged 18–27 (mean, 22.12; SD, 2.12) years were included. All subjects were evaluated with task-based functional magnetic resonance imaging (fMRI) to discover the characteristics and differences in brain activation between SO and SS. We adopted a block design with two conditions during fMRI scanning: observing a sensory video of brushing (task condition A, defined as SO) and brushing subjects' right forearms while they watched a nonsense string (task condition B, defined as SS). One-sample t-tests were performed to identify brain regions and voxels activated for each task condition. A paired-sample t-test and conjunction analysis were performed to explore the differences and similarities between SO and SS. Results The task-based fMRI showed that the bilateral postcentral gyrus, left precentral gyrus, bilateral middle temporal gyrus, right supramarginal gyrus, and left supplementary motor area were significantly activated during SO or SS. In addition to these brain regions, SO could also activate areas containing mirror neurons, like the left inferior parietal gyrus. Conclusion SO could activate mirror neurons and sensorimotor network-related brain regions in healthy subjects like SS. Therefore, SO may be a promising novel therapeutic approach for sensorimotor dysfunction recovery in post-stroke patients.
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Affiliation(s)
- Zhiqing Zhou
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Songmei Chen
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Rehabilitation Medicine, Shanghai No. 3 Rehabilitation Hospital, Shanghai, China
| | - Yuanli Li
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
| | - Jingjun Zhao
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guanwu Li
- Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lei Chen
- Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yuwei Wu
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Sicong Zhang
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaolong Shi
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xixi Chen
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shutian Xu
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
| | - Meng Ren
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shixin Chang
- Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Shixin Chang
| | - Chunlei Shan
- Center of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
- Chunlei Shan
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Lee JY, You T, Lee CH, Im GH, Seo H, Woo CW, Kim SG. Role of anterior cingulate cortex inputs to periaqueductal gray for pain avoidance. Curr Biol 2022; 32:2834-2847.e5. [PMID: 35609604 DOI: 10.1016/j.cub.2022.04.090] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/07/2022] [Accepted: 04/28/2022] [Indexed: 12/13/2022]
Abstract
Although pain-related excessive fear is known to be a key factor in chronic pain disability, which involves the anterior cingulate cortex (ACC), little is known about the downstream circuits of the ACC for fear avoidance in pain processing. Using behavioral experiments and functional magnetic resonance imaging with optogenetics at 15.2 T, we demonstrate that the ACC is a part of the abnormal circuit changes in chronic pain and its downstream circuits are closely related to modulating sensorimotor integration and generating active movement rather than carrying sensory information. The projection from the ACC to the dorsolateral and lateral parts of the periaqueductal gray (dl/lPAG) especially enhances both reflexive and active avoidance behavior toward pain. Collectively, our results indicate that increased signals from the ACC to the dl/lPAG might be critical for excessive fear avoidance in chronic pain disability.
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Affiliation(s)
- Jeong-Yun Lee
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea.
| | - Taeyi You
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Choong-Hee Lee
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
| | - Geun Ho Im
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea
| | - Heewon Seo
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea; Department of Chemistry and Biochemistry, Oberlin College, Oberlin, OH 44704, USA
| | - Choong-Wan Woo
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Seong-Gi Kim
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Republic of Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea.
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