Tremor Analysis
Overview
Tremor analysis provides a quantitative, frequency-domain characterization of involuntary oscillatory movements in rodent models of movement disorders. The animal is placed on an ultra-sensitive movement transducer inside a sound-attenuating isolation cubicle (50 × 40 × 50 cm). The transducer connects to a Measurement Computing USB-231 data acquisition module that digitizes the analog sensor signal at a configurable sample rate (e.g., 512 Hz) and streams continuous voltage waveforms to the Conduct Tremor software. ConductMaze applies fast Fourier transform (FFT) decomposition to resolve the tremor signal into frequency and magnitude components, enabling identification of resting tremor (4-6 Hz, analogous to Parkinson disease patients), postural tremor (8-12 Hz), and kinetic tremor bands. A bandpass filter (e.g., 3-12 Hz) isolates the tremor-relevant spectrum from background noise.
The tremor analysis platform is essential for phenotyping pharmacological and genetic models of Parkinson disease (MPTP, 6-OHDA unilateral lesion, alpha-synuclein PFF injection), Essential Tremor (harmaline-induced cerebellar tremor), and dystonia models. During a standard session the mouse or rat rests freely on the sensing transducer inside the isolation cubicle, which features programmatically controlled visible LED and IR lighting, automated air circulation, and a camera holder for synchronized video recording. Species-appropriate acrylic enclosures (mouse: 17 × 17 × 25 cm; rat: 26 × 26 × 30 cm) sit atop the transducer platform. The system supports up to 8 monitoring stations via wireless communication between the main control box and up to 16 chamber control boxes, with sessions configurable from 1 to 3600 seconds.
The Conduct Tremor software records raw sensor voltage readings with timestamps and computes FFT-derived frequency and magnitude for each sample group. The software presents results across four analysis views: Sensor Readings (time-domain voltage waveform), Frequency and Magnitude (FFT spectral decomposition per group), Tremor Episode Details (detected episodes within a specified frequency range and minimum magnitude threshold), and Tremor Summary (aggregate statistics across the session). All results can be exported to CSV, copied to spreadsheet applications, or accessed programmatically from the result database file for batch analysis.
Trial Flow
DAQ Verification
Confirm Measurement Computing USB-231 is detected and configured in Single Ended (8 ch) input mode
Protocol Configuration
Create experiment under TremorMonitor Protocols; set Total Time and Sample Rate parameters
Animal Placement
Place animal in species-appropriate enclosure on transducer inside sound-attenuating cubicle
Acclimation Period
Allow habituation period; cubicle LED and IR lighting controlled programmatically
Data Acquisition
Click Start to record continuous voltage waveform from movement sensor via USB-231 DAQ
FFT Spectral Analysis
Press Calculate to compute frequency and magnitude via FFT for each sample group
Tremor Episode Detection
Software identifies tremor episodes within specified frequency range and minimum magnitude
Export Results
Export sensor readings, frequency/magnitude, episode details, and summary to CSV; remove animal
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| Sample Rate | integer | 512 | DAQ sampling frequency in Hz; number of samples per second for analog-to-digital conversion |
| Total Time | duration | 600 | Maximum session duration in seconds (1-3600); session stops at this time or when manually stopped |
| Acclimation Time | duration | 300 | Habituation period in seconds before data collection begins |
| Frequency Range Low | float | 3.0 | Lower bound of bandpass filter for tremor-relevant frequency range in Hz |
| Frequency Range High | float | 12.0 | Upper bound of bandpass filter for tremor-relevant frequency range in Hz |
| Minimum Magnitude | float | 0.01 | Minimum FFT magnitude threshold for tremor episode detection |
| DAQ Input Mode | string | Single Ended (8 ch) | USB-231 input configuration; Single Ended mode supports up to 8 simultaneous channels |
Metrics
| Metric | Unit | Description |
|---|---|---|
| Sensor Amplitude | V | Raw voltage reading from movement transducer at each time point |
| Frequency | Hz | FFT-derived dominant frequency component for each sample group |
| Magnitude | V | FFT-derived signal magnitude (strength) at the detected frequency |
| Tremor Episode Count | count | Number of detected tremor episodes within the specified frequency range and above minimum magnitude |
| Peak Frequency | Hz | Frequency at maximum FFT magnitude peak within the tremor-relevant range |
| Tremor Amplitude | V (RMS) | Root-mean-square voltage amplitude across the tremor band after bandpass filtering |
| Total Tremor Power | V²/Hz | Integrated area under the power spectral density curve across tremor-relevant frequencies |
| Session Duration | s | Actual recording time from start to stop or Total Time expiry |
Sample Data
| Subject | Group | Peak_Freq_Hz | Magnitude_V | Episode_Count | Amplitude_V_RMS | Total_Power_V2Hz |
|---|
Representative data for illustration purposes. Actual values will vary by species, strain, and experimental conditions.
Applications
- 1Parkinson disease models — quantifying resting tremor severity in MPTP, 6-OHDA, and alpha-synuclein PFF injection mice for therapeutic screening.
- 2Essential Tremor research — characterizing harmaline-induced cerebellar tremor and evaluating beta-blocker or anti-epileptic drug efficacy.
- 3Drug development — high-throughput tremor suppression screening across frequency bands for novel anti-tremor compounds.
- 4Longitudinal neurodegeneration — tracking tremor progression over weeks as a non-invasive biomarker of dopaminergic cell loss.
- 5Cerebellar ataxia — distinguishing intention tremor signatures from resting tremor to differentiate cerebellar from basal ganglia pathology.
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