2025年7月22日
This protocol presents a microcontroller-based behavioral box to assess prepulse inhibition (PPI) by collecting acceleration data from a sensor beneath the box. This data evaluates sensory gating deficits in socially isolated rats, with an added method for synchronizing data with neuronal activity to advance neurophysiology studies on behavioral disorders.
This protocol outlines a straightforward method for evaluating animal models of schizophrenia designed for behavioral researchers without programming or electronics expertise. We created a cost-effective behavioral box to assess prepulse inhibition in rats affected by neurodevelopmental issues stemming from early life distress. Recent advancements in psychiatric animal models using the prepulse inhibition test focus on understanding sensory gating deficits seen in disorders like schizophrenia.
This includes genetic modifications, neuroimaging, and pharmacological interventions to investigate prepulse inhibition disruptions, ultimately improving diagnostics and therapies. We hope that our protocol will popularize the study of prepulse inhibition in animal models of schizophrenia, and labs that are studying molecular, behavioral, and physiological aspects of the disease can use it to contribute to the understanding of this complex psychiatric disorder. To begin, make an acrylic transparent box to accommodate a freely-behaving rat equipped with a wired headstage.
Use self-adhesive rubber pads to isolate the acrylic box from vibrations and secure the accelerometer below without contact with other parts. Using a soldering iron, solder a ribbon cable directly to the four pinholes on the accelerometer board. VCC, GND, SCL, and SDA.
Clean the center of the acrylic and the flat face board of the accelerometer. Then, connect the opposite end of the ribbon cable to the microcontroller by connecting VCC to 3.3 volts, GND to GND, SCL to SCL, and SDA to SDA. Next, construct a soundproof chamber with a frontal door using 80 centimeter edges of 15 millimeters thick medium-density fiberboard.
Position a speaker 20 centimeters above the acrylic box, ensuring that the headstage and cable have a full range of motion. Connect the audio out from the computer to the microcontroller board. Using a universal serial bus cable, connect the microcontroller board to the computer.
Then, open the integrated development environment software for the microcontroller board on the computer. After selecting the corresponding microcontroller board, COM port and baud rate, open the file sketch, compile, and upload the code to the microcontroller board. Click on the monitor's serial port to check for incoming data.
Then, close the development environment software. Now, position a digital sound level meter within the acrylic box where the animal will be placed. Play the acoustic stimuli and adjust the detection range on the sound level meter to calibrate the stimulus levels being sent by the computer.
Then, open the preferred open-source software for acquiring and saving data from the serial port. Configure the software settings, including the COM port, microcontroller board, and baud rate. Click Connect to read raw data or the chart view.
Then, click Save to start recording the experiments data. After implanting the electrode array in the rat's brain, carefully connect the headstage to the connector implant on the rat's skull. Then, power on the neuronal data acquisition system and confirm that it receives data from the acoustic stimuli through either the microcontroller or a TTL generator connected to the audio detector or microphone.
Turn on the open-source serial port recorder set up earlier. Now, use electrophysiology acquisition software to collect electrophysiological and accelerometer data. Expose the animal to white background noise for seven minutes, with random presentation of all types of pulses, repeating each pulse type 10 times.
At the end of the recording session, turn off the acquisition software. Then, carefully disconnect the headstage connector from the implant on the animal's skull. To perform electrophysiological and behavioral analysis, import the raw data containing brain activity, acceleration, and acoustic stimuli into a signal processing platform.
Extract EPICS centered on each acoustic stimulus. Then, normalize the means to enable comparison between animals. Set the response to a single pulse as the maximum response and normalize the reflex responses to other pulses relative to this value.
Finally, define the startle amplitude for pulse 5 as 100%and represent responses to other pulses as a function of the pulse 5 amplitude. Local field potential analysis indicated no significant power modulation in the prelimbic and infralimbic cortices post-stimulation, while areas like the ventral tegmental area, amygdala, nucleus accumbens, and hippocampus showed decreased power spectrum density in delta, theta, and alpha bands, with a notable beta modulation. Both commercial and DIY accelerometers demonstrated consistent amplitude and time-based data, with baseline readings and startle response amplitudes showing close alignment across devices.
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本方案介绍了一种基于微控制器的行为学检测箱,用于评估社交隔离大鼠的脉冲前抑制(PPI),旨在评价与精神分裂症等精神疾病相关的感官门控缺陷。通过将加速度计数据与神经元活动同步,本研究力求推进以行为障碍机制理解为核心的神经生理学研究。
动物模型中的预脉冲抑制(PPI)检测为评估与神经精神药物研发相关的感知门控缺陷提供了转化桥梁。本方案可实现行为学与神经活动的同步测量,有助于在精神疾病适应症的早期靶点验证中进行机制性风险降低并提升预测可信度。该方法支持可扩展且可重复的表型分析,对于项目组合筛选及跨职能研发协同至关重要。
本方案将蛋白质-蛋白质相互作用(PPI)检测与神经活动记录置于神经精神类药物研发的早期发现、先导化合物识别及临床前验证的交汇点。