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All-optical electrophysiology reveals brain-state dependent changes in hippocampal subthreshold dynamics and excitability

View ORCID ProfileYoav Adam, Jeong J. Kim, Shan Lou, Yongxin Zhao, Daan Brinks, Hao Wu, Mohammed A. Mostajo-Radji, Simon Kheifets, Vicente Parot, Selmaan Chettih, Katherine J. Williams, Samouil L. Farhi, Linda Madisen, Christopher D. Harvey, Hongkui Zeng, Paola Arlotta, Robert E. Campbell, Adam E. Cohen
doi: https://doi.org/10.1101/281618
Yoav Adam
1Dept. of Chemistry and Chemical Biology, Harvard University
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Jeong J. Kim
1Dept. of Chemistry and Chemical Biology, Harvard University
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Shan Lou
1Dept. of Chemistry and Chemical Biology, Harvard University
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Yongxin Zhao
2Dept. of Chemistry, University of Alberta
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Daan Brinks
1Dept. of Chemistry and Chemical Biology, Harvard University
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Hao Wu
1Dept. of Chemistry and Chemical Biology, Harvard University
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Mohammed A. Mostajo-Radji
3Dept. of Stem Cell and Regenerative Biology, Harvard University
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Simon Kheifets
1Dept. of Chemistry and Chemical Biology, Harvard University
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Vicente Parot
1Dept. of Chemistry and Chemical Biology, Harvard University
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Selmaan Chettih
4Dept. of Neurobiology, Harvard Medical School
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Katherine J. Williams
1Dept. of Chemistry and Chemical Biology, Harvard University
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Samouil L. Farhi
1Dept. of Chemistry and Chemical Biology, Harvard University
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Linda Madisen
5Allen Institute for Brain Science
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Christopher D. Harvey
4Dept. of Neurobiology, Harvard Medical School
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Hongkui Zeng
5Allen Institute for Brain Science
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Paola Arlotta
3Dept. of Stem Cell and Regenerative Biology, Harvard University
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Robert E. Campbell
2Dept. of Chemistry, University of Alberta
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Adam E. Cohen
1Dept. of Chemistry and Chemical Biology, Harvard University
6Howard Hughes Medical Institute
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Abstract

A technology to record membrane potential from multiple neurons, simultaneously, in behaving animals will have a transformative impact on neuroscience research1. Parallel recordings could reveal the subthreshold potentials and intercellular correlations that underlie network behavior2. Paired stimulation and recording can further reveal the input-output properties of individual cells or networks in the context of different brain states3. Genetically encoded voltage indicators are a promising tool for these purposes, but were so far limited to single-cell recordings with marginal signal to noise ratio (SNR) in vivo4-6. We developed improved near infrared voltage indicators, high speed microscopes and targeted gene expression schemes which enabled recordings of supra- and subthreshold voltage dynamics from multiple neurons simultaneously in mouse hippocampus, in vivo. The reporters revealed sub-cellular details of back-propagating action potentials, correlations in sub-threshold voltage between multiple cells, and changes in dynamics associated with transitions from resting to locomotion. In combination with optogenetic stimulation, the reporters revealed brain state-dependent changes in neuronal excitability, reflecting the interplay of excitatory and inhibitory synaptic inputs. These tools open the possibility for detailed explorations of network dynamics in the context of behavior.

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Posted March 13, 2018.
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All-optical electrophysiology reveals brain-state dependent changes in hippocampal subthreshold dynamics and excitability
Yoav Adam, Jeong J. Kim, Shan Lou, Yongxin Zhao, Daan Brinks, Hao Wu, Mohammed A. Mostajo-Radji, Simon Kheifets, Vicente Parot, Selmaan Chettih, Katherine J. Williams, Samouil L. Farhi, Linda Madisen, Christopher D. Harvey, Hongkui Zeng, Paola Arlotta, Robert E. Campbell, Adam E. Cohen
bioRxiv 281618; doi: https://doi.org/10.1101/281618
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All-optical electrophysiology reveals brain-state dependent changes in hippocampal subthreshold dynamics and excitability
Yoav Adam, Jeong J. Kim, Shan Lou, Yongxin Zhao, Daan Brinks, Hao Wu, Mohammed A. Mostajo-Radji, Simon Kheifets, Vicente Parot, Selmaan Chettih, Katherine J. Williams, Samouil L. Farhi, Linda Madisen, Christopher D. Harvey, Hongkui Zeng, Paola Arlotta, Robert E. Campbell, Adam E. Cohen
bioRxiv 281618; doi: https://doi.org/10.1101/281618

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