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Lewis CM, Hoffmann A, Helmchen F. Linking brain activity across scales with simultaneous opto- and electrophysiology. NEUROPHOTONICS 2024; 11:033403. [PMID: 37662552 PMCID: PMC10472193 DOI: 10.1117/1.nph.11.3.033403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/19/2023] [Accepted: 07/24/2023] [Indexed: 09/05/2023]
Abstract
The brain enables adaptive behavior via the dynamic coordination of diverse neuronal signals across spatial and temporal scales: from fast action potential patterns in microcircuits to slower patterns of distributed activity in brain-wide networks. Understanding principles of multiscale dynamics requires simultaneous monitoring of signals in multiple, distributed network nodes. Combining optical and electrical recordings of brain activity is promising for collecting data across multiple scales and can reveal aspects of coordinated dynamics invisible to standard, single-modality approaches. We review recent progress in combining opto- and electrophysiology, focusing on mouse studies that shed new light on the function of single neurons by embedding their activity in the context of brain-wide activity patterns. Optical and electrical readouts can be tailored to desired scales to tackle specific questions. For example, fast dynamics in single cells or local populations recorded with multi-electrode arrays can be related to simultaneously acquired optical signals that report activity in specified subpopulations of neurons, in non-neuronal cells, or in neuromodulatory pathways. Conversely, two-photon imaging can be used to densely monitor activity in local circuits while sampling electrical activity in distant brain areas at the same time. The refinement of combined approaches will continue to reveal previously inaccessible and under-appreciated aspects of coordinated brain activity.
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Affiliation(s)
| | - Adrian Hoffmann
- University of Zurich, Brain Research Institute, Zurich, Switzerland
- University of Zurich, Neuroscience Center Zurich, Zurich, Switzerland
| | - Fritjof Helmchen
- University of Zurich, Brain Research Institute, Zurich, Switzerland
- University of Zurich, Neuroscience Center Zurich, Zurich, Switzerland
- University of Zurich, University Research Priority Program, Adaptive Brain Circuits in Development and Learning, Zurich, Switzerland
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2
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Labouesse MA, Wilhelm M, Kagiampaki Z, Yee AG, Denis R, Harada M, Gresch A, Marinescu AM, Otomo K, Curreli S, Serratosa Capdevila L, Zhou X, Cola RB, Ravotto L, Glück C, Cherepanov S, Weber B, Zhou X, Katner J, Svensson KA, Fellin T, Trudeau LE, Ford CP, Sych Y, Patriarchi T. A chemogenetic approach for dopamine imaging with tunable sensitivity. Nat Commun 2024; 15:5551. [PMID: 38956067 PMCID: PMC11219860 DOI: 10.1038/s41467-024-49442-3] [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: 11/07/2023] [Accepted: 06/05/2024] [Indexed: 07/04/2024] Open
Abstract
Genetically-encoded dopamine (DA) sensors enable high-resolution imaging of DA release, but their ability to detect a wide range of extracellular DA levels, especially tonic versus phasic DA release, is limited by their intrinsic affinity. Here we show that a human-selective dopamine receptor positive allosteric modulator (PAM) can be used to boost sensor affinity on-demand. The PAM enhances DA detection sensitivity across experimental preparations (in vitro, ex vivo and in vivo) via one-photon or two-photon imaging. In vivo photometry-based detection of optogenetically-evoked DA release revealed that DETQ administration produces a stable 31 minutes window of potentiation without effects on animal behavior. The use of the PAM revealed region-specific and metabolic state-dependent differences in tonic DA levels and enhanced single-trial detection of behavior-evoked phasic DA release in cortex and striatum. Our chemogenetic strategy can potently and flexibly tune DA imaging sensitivity and reveal multi-modal (tonic/phasic) DA signaling across preparations and imaging approaches.
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Affiliation(s)
- Marie A Labouesse
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
- Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Maria Wilhelm
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Institute for Neuroscience, ETH Zurich, Zurich, Switzerland
| | | | - Andrew G Yee
- Department of Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Raphaelle Denis
- Department of Pharmacology & Physiology, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
| | - Masaya Harada
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Andrea Gresch
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | | | - Kanako Otomo
- Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
| | - Sebastiano Curreli
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | | | - Xuehan Zhou
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Reto B Cola
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Luca Ravotto
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Chaim Glück
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Stanislav Cherepanov
- Institute of Cellular and Integrative Neuroscience, University of Strasbourg, Strasbourg, France
| | - Bruno Weber
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland
| | - Xin Zhou
- Eli Lilly and Company, Indianapolis, IN, USA
| | | | | | - Tommaso Fellin
- Optical Approaches to Brain Function Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Louis-Eric Trudeau
- Department of Pharmacology & Physiology, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, SNC and CIRCA Research groups, Université de Montréal, Montréal, QC, Canada
| | - Christopher P Ford
- Department of Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Yaroslav Sych
- Institute of Cellular and Integrative Neuroscience, University of Strasbourg, Strasbourg, France
| | - Tommaso Patriarchi
- Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland.
- Neuroscience Center Zurich, University and ETH Zürich, Zürich, Switzerland.
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Latifi S, Carmichael ST. The emergence of multiscale connectomics-based approaches in stroke recovery. Trends Neurosci 2024; 47:303-318. [PMID: 38402008 DOI: 10.1016/j.tins.2024.01.003] [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: 08/22/2023] [Revised: 12/31/2023] [Accepted: 01/21/2024] [Indexed: 02/26/2024]
Abstract
Stroke is a leading cause of adult disability. Understanding stroke damage and recovery requires deciphering changes in complex brain networks across different spatiotemporal scales. While recent developments in brain readout technologies and progress in complex network modeling have revolutionized current understanding of the effects of stroke on brain networks at a macroscale, reorganization of smaller scale brain networks remains incompletely understood. In this review, we use a conceptual framework of graph theory to define brain networks from nano- to macroscales. Highlighting stroke-related brain connectivity studies at multiple scales, we argue that multiscale connectomics-based approaches may provide new routes to better evaluate brain structural and functional remapping after stroke and during recovery.
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Affiliation(s)
- Shahrzad Latifi
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26506, USA
| | - S Thomas Carmichael
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
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Xu T, Chen Z, Zhou X, Wang L, Zhou F, Yao D, Zhou B, Becker B. The central renin-angiotensin system: A genetic pathway, functional decoding, and selective target engagement characterization in humans. Proc Natl Acad Sci U S A 2024; 121:e2306936121. [PMID: 38349873 PMCID: PMC10895353 DOI: 10.1073/pnas.2306936121] [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: 04/27/2023] [Accepted: 01/02/2024] [Indexed: 02/15/2024] Open
Abstract
Accumulating evidence suggests that the brain renin angiotensin system (RAS) plays a pivotal role in the regulation of cognition and behavior as well as in the neuropathology of neurological and mental disorders. The angiotensin II type 1 receptor (AT1R) mediates most functional and neuropathology-relevant actions associated with the central RAS. However, an overarching comprehension to guide translation and utilize the therapeutic potential of the central RAS in humans is currently lacking. We conducted a comprehensive characterization of the RAS using an innovative combination of transcriptomic gene expression mapping, image-based behavioral decoding, and pre-registered randomized controlled discovery-replication pharmacological resting-state functional magnetic resonance imaging (fMRI) trials (N = 132) with a selective AT1R antagonist. The AT1R exhibited a particular dense expression in a subcortical network encompassing the thalamus, striatum, and amygdalo-hippocampal formation. Behavioral decoding of the AT1R gene expression brain map showed an association with memory, stress, reward, and motivational processes. Transient pharmacological blockade of the AT1R further decreased neural activity in subcortical systems characterized by a high AT1R expression, while increasing functional connectivity in the cortico-basal ganglia-thalamo-cortical circuitry. Effects of AT1R blockade on the network level were specifically associated with the transcriptomic signatures of the dopaminergic, opioid, acetylcholine, and corticotropin-releasing hormone signaling systems. The robustness of the results was supported in an independent pharmacological fMRI trial. These findings present a biologically informed comprehensive characterization of the central AT1R pathways and their functional relevance on the neural and behavioral level in humans.
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Affiliation(s)
- Ting Xu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu610054, People’s Republic of China
- Ministry of Education Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology, Chengdu610054, People’s Republic of China
| | - Zhiyi Chen
- Experimental Research Center for Medical and Psychological Science, School of Psychology, Third Military Medical University, Chongqing400037, People’s Republic of China
- Faculty of Psychology, Southwest University, Chongqing400715, People’s Republic of China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing400715, People’s Republic of China
| | - Xinqi Zhou
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, People’s Republic of China
| | - Lan Wang
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu610054, People’s Republic of China
- Ministry of Education Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology, Chengdu610054, People’s Republic of China
| | - Feng Zhou
- Faculty of Psychology, Southwest University, Chongqing400715, People’s Republic of China
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing400715, People’s Republic of China
| | - Dezhong Yao
- Ministry of Education Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology, Chengdu610054, People’s Republic of China
| | - Bo Zhou
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu610054, People’s Republic of China
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu610054, People’s Republic of China
- Ministry of Education Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology, Chengdu610054, People’s Republic of China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong999077, People’s Republic of China
- Department of Psychology, The University of Hong Kong, Hong Kong999077, People’s Republic of China
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5
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Wilhelm M, Sych Y, Fomins A, Alatorre Warren JL, Lewis C, Serratosa Capdevila L, Boehringer R, Amadei EA, Grewe B, O'Connor EC, Hall BJ, Helmchen F. Striatum-projecting prefrontal cortex neurons support working memory maintenance. Nat Commun 2023; 14:7016. [PMID: 37919287 PMCID: PMC10622437 DOI: 10.1038/s41467-023-42777-3] [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: 11/08/2021] [Accepted: 10/20/2023] [Indexed: 11/04/2023] Open
Abstract
Neurons in the medial prefrontal cortex (mPFC) are functionally linked to working memory (WM) but how distinct projection pathways contribute to WM remains unclear. Based on optical recordings, optogenetic perturbations, and pharmacological interventions in male mice, we report here that dorsomedial striatum (dmStr)-projecting mPFC neurons are essential for WM maintenance, but not encoding or retrieval, in a T-maze spatial memory task. Fiber photometry of GCaMP6m-labeled mPFC→dmStr neurons revealed strongest activity during the maintenance period, and optogenetic inhibition of these neurons impaired performance only when applied during this period. Conversely, enhancing mPFC→dmStr pathway activity-via pharmacological suppression of HCN1 or by optogenetic activation during the maintenance period-alleviated WM impairment induced by NMDA receptor blockade. Moreover, cellular-resolution miniscope imaging revealed that >50% of mPFC→dmStr neurons are active during WM maintenance and that this subpopulation is distinct from neurons active during encoding and retrieval. In all task periods, neuronal sequences were evident. Striatum-projecting mPFC neurons thus critically contribute to spatial WM maintenance.
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Affiliation(s)
- Maria Wilhelm
- Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland
- Institute for Neuroscience, ETH Zurich, 8057, Zurich, Switzerland
| | - Yaroslav Sych
- Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland
- Institute of Cellular and Integrative Neuroscience, CNRS, University of Strasbourg, Strasbourg, France
| | - Aleksejs Fomins
- Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland
| | - José Luis Alatorre Warren
- Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, 0317, Norway
| | - Christopher Lewis
- Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland
| | | | - Roman Boehringer
- Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland
| | - Elizabeth A Amadei
- Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland
| | - Benjamin Grewe
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland
- Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
| | - Eoin C O'Connor
- Neuroscience & Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Benjamin J Hall
- Neuroscience & Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
- Circuit Biology Department, H. Lundbeck A/S, Valby, Denmark
| | - Fritjof Helmchen
- Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland.
- University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland.
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