Department of Psychiatry, Kinsmen Laboratory of Neurological Research, Vancouver, Canada.
Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Elife. 2020 May 15;9:e55964. doi: 10.7554/eLife.55964.
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.
我们报告了一种改进的自动化开源方法，用于使用基于 Raspberry Pi 的硬件对头固定的介观皮质成像和/或在家养笼中的小鼠进行行为训练。分阶段的部分和概率约束允许小鼠在 3 周的时间内自我调整到头固定，参与率约为 50%。我们支持基于提示的行为舔任务，由电容式触摸传感器水嘴监测。在自动头固定的同时，我们获取自发、运动触发或舔任务诱发的 GCaMP6 皮质信号。分析流水线标记了行为事件，并分析了与自发和/或任务诱发的行为活动相关的脑荧光信号。小鼠被训练抑制舔舐，并等待标记水输送的提示。正确的奖励走试与振动提示后的中线和外侧桶状皮层区域的广泛激活以及延迟的额侧和外侧运动皮层激活有关。皮质 GCaMP 信号预测了试验的成功，并与与试验结果相关的身体运动密切相关。
