Thermal Gradient Preference
Overview
The thermal gradient preference apparatus provides a continuous, non-forced assessment of thermosensory function and thermoregulatory behavior in rodents. The system consists of an elongated aluminum runway (typically 100-120 cm long, 10 cm wide) with independently controlled Peltier thermoelectric elements creating a stable, linear temperature gradient from one extreme (5 degrees C, cold) to the other (50 degrees C, hot). ConductMaze drives each Peltier element through a closed-loop PID controller with embedded thermistor feedback, maintaining floor temperature within 0.3 degrees C of setpoint across the entire gradient length. An overhead infrared camera tracks the animal position at 30 Hz while floor-embedded temperature sensors provide real-time correlation between position and substrate temperature. This free-choice paradigm avoids the stress and confounds of forced thermal tests (hot plate, tail flick) by allowing the animal to self-select its preferred thermal environment over extended sessions.
During a standard 30-60 minute session, the animal explores the full gradient and ultimately settles in a temperature zone corresponding to its thermoneutral preference (typically 29-32 degrees C for mice). Thermal allodynia — a hallmark of neuropathic pain — manifests as a rightward shift in preferred temperature (toward warmer zones) following peripheral nerve injury such as chronic constriction injury (CCI) or spared nerve injury (SNI), as the animal avoids normally innocuous cool temperatures that have become painful. Conversely, inflammatory models may show cold-seeking behavior. ConductMaze divides the runway into discrete temperature bins (typically 2-3 degrees C wide) and computes occupancy time, approach/avoidance behavior, and transition frequency for each zone, enabling detailed thermosensory phenotyping beyond a single threshold measurement.
ConductMaze exports position-temperature timecourses, occupancy heatmaps overlaid on the gradient schematic, and zone transition matrices. The software computes preferred temperature (weighted centroid of occupancy distribution), thermal avoidance zones (occupancy below chance level), zone transition count (a measure of exploratory vs settled behavior), and thermal sensitivity index (steepness of the occupancy distribution around the preferred zone). Automated multi-session tracking enables longitudinal studies of neuropathic pain development and resolution, with all gradient calibration logs stored for quality assurance.
Trial Flow
Gradient Stabilization
Power Peltier array and wait for all zones to reach setpoint (±0.3°C)
Calibration Verification
Log floor thermistor readings across all positions to verify linear gradient
Animal Placement
Place mouse at gradient midpoint (≈27°C) to avoid initial bias
Free Exploration
Overhead IR camera tracks position; ConductMaze logs position-temperature pairs at 30 Hz
Zone Occupancy Binning
Assign each frame to a discrete temperature zone and accumulate occupancy time
Settlement Detection
Detect when animal has remained within 2 adjacent zones for >5 minutes (settled phase)
Preference Calculation
Compute preferred temperature as occupancy-weighted centroid during settled phase
Session End
Export heatmap, occupancy histogram, and per-zone metrics; remove animal
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| Cold Endpoint | float | 5.0 | Temperature in °C at the cold end of the gradient runway |
| Hot Endpoint | float | 50.0 | Temperature in °C at the hot end of the gradient runway |
| Gradient Length | distance | 100 | Total runway length in cm over which the temperature gradient is distributed |
| Session Duration | duration | 2400 | Total recording time in seconds (typically 30-60 minutes) |
| Zone Bin Size | float | 2.5 | Width of each temperature zone bin in °C for occupancy calculation |
| Tracking Frame Rate | integer | 30 | Overhead camera acquisition rate in frames per second |
| Settlement Criterion | duration | 300 | Minimum continuous time (seconds) in 2 adjacent zones to classify as settled |
| Placement Zone | enum | Midpoint | Starting position on gradient (Midpoint, Random, Cold-End, Hot-End) |
Metrics
| Metric | Unit | Description |
|---|---|---|
| Preferred Temperature | °C | Occupancy-weighted centroid of the temperature distribution during the settled phase |
| Time in Each Zone | seconds | Total occupancy time per temperature zone bin across the full session |
| Zone Transition Count | count | Total number of crossings between adjacent temperature zones — measures exploratory behavior |
| Cold Avoidance Index | ratio | Proportion of session time spent in zones below 15°C relative to chance — lower indicates cold avoidance |
| Hot Avoidance Index | ratio | Proportion of session time spent in zones above 40°C relative to chance — lower indicates heat avoidance |
| Thermal Sensitivity Index | AU | Kurtosis of the occupancy distribution — higher values indicate sharper thermal preference |
| Latency to Settle | seconds | Time from session start until the settlement criterion is first met |
Sample Data
| Subject | Group | Preferred_Temp_C | Transitions | Cold_Avoid_Idx | Hot_Avoid_Idx | Sensitivity_Idx | Settle_Latency_s |
|---|
Representative data for illustration purposes. Actual values will vary by species, strain, and experimental conditions.
Applications
- 1Neuropathic pain — detecting thermal allodynia as a preference shift toward warmer zones following chronic constriction injury or spared nerve injury.
- 2Analgesic screening — quantifying gabapentin, pregabalin, and novel analgesic restoration of normal thermal preference in nerve injury models.
- 3Thermoregulation research — characterizing thermoneutral zone width and preferred ambient temperature in metabolic studies and brown fat activation paradigms.
- 4Peripheral neuropathy — tracking thermal sensory loss in diabetic neuropathy (STZ), chemotherapy-induced neuropathy (paclitaxel), and hereditary sensory neuropathy models.
- 5Inflammation models — detecting hypothermic preference (cold-seeking) following LPS-induced systemic inflammation or localized inflammatory pain.
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