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Large-scale recording of neuronal activity in freely-moving mice at cellular resolution

Aniruddha Das, Sarah Holden, Julie Borovicka, Jacob Icardi, Abigail O’Niel, Ariel Chaklai, Davina Patel, Rushik Patel, Stefanie Kaech Petrie, Jacob Raber and Hod Dana ()
Additional contact information
Aniruddha Das: Cleveland Clinic Foundation
Sarah Holden: Oregon Health and Science University
Julie Borovicka: Cleveland Clinic Foundation
Jacob Icardi: Cleveland Clinic Foundation
Abigail O’Niel: Oregon Health and Science University
Ariel Chaklai: Oregon Health and Science University
Davina Patel: Cleveland Clinic Foundation
Rushik Patel: Cleveland Clinic Foundation
Stefanie Kaech Petrie: Oregon Health and Science University
Jacob Raber: Oregon Health and Science University
Hod Dana: Cleveland Clinic Foundation

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Current methods for recording large-scale neuronal activity from behaving mice at single-cell resolution require either fixing the mouse head under a microscope or attachment of a recording device to the animal’s skull. Both of these options significantly affect the animal behavior and hence also the recorded brain activity patterns. Here, we introduce a different method to acquire snapshots of single-cell cortical activity maps from freely-moving mice using a calcium sensor called CaMPARI. CaMPARI has a unique property of irreversibly changing its color from green to red inside active neurons when illuminated with 400 nm light. We capitalize on this property to demonstrate cortex-wide activity recording without any head fixation, tethering, or attachment of a miniaturized device to the mouse’s head. Multiple cortical regions were recorded while the mouse was performing a battery of behavioral and cognitive tests. We identified task-dependent activity patterns across motor and somatosensory cortices, with significant differences across sub-regions of the motor cortex and correlations across several activity patterns and task parameters. This CaMPARI-based recording method expands the capabilities of recording neuronal activity from freely-moving and behaving mice under minimally-restrictive experimental conditions and provides large-scale volumetric data that are currently not accessible otherwise.

Date: 2023
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DOI: 10.1038/s41467-023-42083-y

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