Automated task training and longitudinal monitoring of mouse mesoscale cortical circuits using home cages

We report improved automated open-source methodology for head-fixed mesoscale cortical imaging and/or behavioral training of home cage mice using Raspberry Pi-based hardware. Staged partial and probabilistic restraint allows mice to adjust to self-initiated headfixation over 3 weeks’ time with ~50% participation rate. We support a cue-based behavioral licking task monitored by a capacitive touch-sensor water spout. While automatically head-fixed, we acquire spontaneous, movement-triggered, or licking task-evoked GCaMP6 cortical signals. An analysis pipeline marked both behavioral events, as well as analyzed brain fluorescence signals as they relate to spontaneous and/or task-evoked behavioral activity. Mice were trained to suppress licking and wait for cues that marked the delivery of water. Correct rewarded go-trials were associated with widespread activation of midline and lateral barrel cortex areas following a vibration cue and delayed frontal and lateral motor cortex activation. Cortical GCaMP signals predicted trial success and correlated strongly with trial-outcome dependent body movements.

Abstract licence: CC BY

1. 1.

   Thy1-GCaMP6 Transgenic Mice for Neuronal Population Imaging In Vivo · 2014

2. 11.

   The Brain Atlas Concordance Problem: Quantitative Comparison of Anatomical Parcellations · 2009

3. 22.
   Corrected

   Cortex commands the performance of skilled movement · 2015

4. 25.

   A large field of view two-photon mesoscope with subcellular resolution for in vivo imaging · 2016

5. 30.

   An extended retinotopic map of mouse cortex · 2017

6. 31.

   Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons · 2017

7. 44.

   Reward-Based Learning Drives Rapid Sensory Signals in Medial Prefrontal Cortex and Dorsal Hippocampus Necessary for Goal-Directed Behavior · 2018

8. 51.

   High-Yield Methods for Accurate Two-Alternative Visual Psychophysics in Head-Fixed Mice · 2017

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