Title | Automated task training and longitudinal monitoring of mouse mesoscale cortical circuits using home cages. |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Murphy, Timothy H., Nicholas J. Michelson, Jamie D. Boyd, Tony Fong, Luis A. Bolanos, David Bierbrauer, Teri Siu, Matilde Balbi, Federico Bolaños, Matthieu Vanni, and Jeff M. LeDue |
Journal | Elife |
Volume | 9 |
Date Published | 2020 05 15 |
ISSN | 2050-084X |
Abstract | 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. |
DOI | 10.7554/eLife.55964 |
Alternate Journal | Elife |
PubMed ID | 32412409 |
PubMed Central ID | PMC7332290 |
Grant List | FDN-143209 / / CIHR / Canada |