Automated task training and longitudinal monitoring of mouse mesoscale cortical circuits using home cages.
Elife
; 92020 05 15.
Article
en En
| MEDLINE
| ID: mdl-32412409
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Conducta Animal
/
Restricción Física
/
Señales (Psicología)
/
Ingestión de Líquidos
/
Corteza Motora
Límite:
Animals
Idioma:
En
Revista:
Elife
Año:
2020
Tipo del documento:
Article
País de afiliación:
Canadá
Pais de publicación:
Reino Unido