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Voltage imaging and optogenetics reveal behaviour-dependent changes in hippocampal dynamics

Author

Listed:
  • Yoav Adam

    (Harvard University)

  • Jeong J. Kim

    (Harvard University)

  • Shan Lou

    (Harvard University)

  • Yongxin Zhao

    (University of Alberta)

  • Michael E. Xie

    (Harvard University)

  • Daan Brinks

    (Harvard University)

  • Hao Wu

    (Harvard University)

  • Mohammed A. Mostajo-Radji

    (Harvard University)

  • Simon Kheifets

    (Harvard University)

  • Vicente Parot

    (Harvard University)

  • Selmaan Chettih

    (Harvard Medical School)

  • Katherine J. Williams

    (Harvard University)

  • Benjamin Gmeiner

    (Harvard University)

  • Samouil L. Farhi

    (Harvard University)

  • Linda Madisen

    (Allen Institute for Brain Science)

  • E. Kelly Buchanan

    (Columbia University)

  • Ian Kinsella

    (Columbia University)

  • Ding Zhou

    (Columbia University)

  • Liam Paninski

    (Columbia University)

  • Christopher D. Harvey

    (Harvard Medical School)

  • Hongkui Zeng

    (Allen Institute for Brain Science)

  • Paola Arlotta

    (Harvard University)

  • Robert E. Campbell

    (University of Alberta)

  • Adam E. Cohen

    (Harvard University
    Howard Hughes Medical Institute)

Abstract

A technology that simultaneously records membrane potential from multiple neurons in behaving animals will have a transformative effect on neuroscience research1,2. Genetically encoded voltage indicators are a promising tool for these purposes; however, these have so far been limited to single-cell recordings with a marginal signal-to-noise ratio in vivo3–5. Here we developed improved near-infrared voltage indicators, high-speed microscopes and targeted gene expression schemes that enabled simultaneous in vivo recordings of supra- and subthreshold voltage dynamics in multiple neurons in the hippocampus of behaving mice. The reporters revealed subcellular details of back-propagating action potentials and correlations in subthreshold voltage between multiple cells. In combination with stimulation using optogenetics, the reporters revealed changes in neuronal excitability that were dependent on the behavioural state, reflecting the interplay of excitatory and inhibitory synaptic inputs. These tools open the possibility for detailed explorations of network dynamics in the context of behaviour. Fig. 1 Photoactivated QuasAr3 (paQuasAr3) reports neuronal activity in vivo. a, Schematic of the paQuasAr3 construct. b, Photoactivation by blue light enhanced voltage signals excited by red light in cultured neurons that expressed paQuasAr3 (representative example of n = 4 cells). c, Model of the photocycle of paQuasAr3. d, Confocal images of sparsely expressed paQuasAr3 in brain slices. Scale bars, 50 μm. Representative images, experiments were repeated in n = 3 mice. e, Simultaneous fluorescence and patch-clamp recordings from a neuron expressing paQuasAr3 in acute brain slice. Top, magnification of boxed regions. Schematic shows brain slice, patch pipette and microscope objective. f, Simultaneous fluorescence and patch-clamp recordings of inhibitory post synaptic potentials in an L2–3 neuron induced by electrical stimulation of L5–6 in acute slice. g, Normalized change in fluorescence (ΔF/F) and SNR of optically recorded post-synaptic potentials (PSPs) as a function of the amplitude of the post-synaptic potentials. The voltage sensitivity was ΔF/F = 40 ± 1.7% per 100 mV. The SNR was 0.93 ± 0.07 per 1 mV in a 1-kHz bandwidth (n = 42 post-synaptic potentials from 5 cells, data are mean ± s.d.). Schematic shows brain slice, patch pipette, field stimulation electrodes and microscope objective. h, Optical measurements of paQuasAr3 fluorescence in the CA1 region of the hippocampus (top) and glomerular layer of the olfactory bulb (bottom) of anaesthetized mice (representative traces from n = 7 CA1 cells and n = 13 olfactory bulb cells, n = 3 mice). Schematics show microscope objective and the imaged brain region. i, STA fluorescence from 88 spikes in a CA1 oriens neuron. j, Frames from the STA video showing the delay in the back-propagating action potential in the dendrites relative to the soma. k, Sub-Nyquist fitting of the action potential delay and width shows electrical compartmentalization in the dendrites. Experiments in k–m were repeated in n = 2 cells from n = 2 mice.

Suggested Citation

  • Yoav Adam & Jeong J. Kim & Shan Lou & Yongxin Zhao & Michael E. Xie & Daan Brinks & Hao Wu & Mohammed A. Mostajo-Radji & Simon Kheifets & Vicente Parot & Selmaan Chettih & Katherine J. Williams & Benj, 2019. "Voltage imaging and optogenetics reveal behaviour-dependent changes in hippocampal dynamics," Nature, Nature, vol. 569(7756), pages 413-417, May.
  • Handle: RePEc:nat:nature:v:569:y:2019:i:7756:d:10.1038_s41586-019-1166-7
    DOI: 10.1038/s41586-019-1166-7
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    Citations

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    Cited by:

    1. Zhenrui Liao & Kevin C. Gonzalez & Deborah M. Li & Catalina M. Yang & Donald Holder & Natalie E. McClain & Guofeng Zhang & Stephen W. Evans & Mariya Chavarha & Jane Simko & Christopher D. Makinson & M, 2024. "Functional architecture of intracellular oscillations in hippocampal dendrites," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Eric Lowet & Krishnakanth Kondabolu & Samuel Zhou & Rebecca A. Mount & Yangyang Wang & Cara R. Ravasio & Xue Han, 2022. "Deep brain stimulation creates informational lesion through membrane depolarization in mouse hippocampus," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Changjia Cai & Johannes Friedrich & Amrita Singh & M Hossein Eybposh & Eftychios A Pnevmatikakis & Kaspar Podgorski & Andrea Giovannucci, 2021. "VolPy: Automated and scalable analysis pipelines for voltage imaging datasets," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-28, April.
    4. Yuki Bando & Michael Wenzel & Rafael Yuste, 2021. "Simultaneous two-photon imaging of action potentials and subthreshold inputs in vivo," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    5. Joshua S. Selfe & Teresa J. S. Steyn & Eran F. Shorer & Richard J. Burman & Kira M. Düsterwald & Ariel Z. Kraitzick & Ahmed S. Abdelfattah & Eric R. Schreiter & Sarah E. Newey & Colin J. Akerman & Jos, 2024. "All-optical reporting of inhibitory receptor driving force in the nervous system," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    6. Jianian Lin & Zongyue Cheng & Guang Yang & Meng Cui, 2022. "Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    7. Ruth R. Sims & Imane Bendifallah & Christiane Grimm & Aysha S. Mohamed Lafirdeen & Soledad Domínguez & Chung Yuen Chan & Xiaoyu Lu & Benoît C. Forget & François St-Pierre & Eirini Papagiakoumou & Vale, 2024. "Scanless two-photon voltage imaging," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
    8. Oren Amsalem & Hidehiko Inagaki & Jianing Yu & Karel Svoboda & Ran Darshan, 2024. "Sub-threshold neuronal activity and the dynamical regime of cerebral cortex," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    9. Arita Silapetere & Songhwan Hwang & Yusaku Hontani & Rodrigo G. Fernandez Lahore & Jens Balke & Francisco Velazquez Escobar & Martijn Tros & Patrick E. Konold & Rainer Matis & Roberta Croce & Peter J., 2022. "QuasAr Odyssey: the origin of fluorescence and its voltage sensitivity in microbial rhodopsins," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    10. Amelie C. F. Bergs & Jana F. Liewald & Silvia Rodriguez-Rozada & Qiang Liu & Christin Wirt & Artur Bessel & Nadja Zeitzschel & Hilal Durmaz & Adrianna Nozownik & Holger Dill & Maëlle Jospin & Johannes, 2023. "All-optical closed-loop voltage clamp for precise control of muscles and neurons in live animals," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    11. Yide Zhang & Binglin Shen & Tong Wu & Jerry Zhao & Joseph C. Jing & Peng Wang & Kanomi Sasaki-Capela & William G. Dunphy & David Garrett & Konstantin Maslov & Weiwei Wang & Lihong V. Wang, 2022. "Ultrafast and hypersensitive phase imaging of propagating internodal current flows in myelinated axons and electromagnetic pulses in dielectrics," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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