A Novel Pavlovian Fear Conditioning Paradigm to Study Freezing and Flight Behavior

Summary

Defensive behavioral responses are contingent upon threat intensity, proximity, and context of exposure. Based on these factors, we developed a classical conditioning paradigm that elicits clear transitions between conditioned freezing and flight behavior within individual subjects. This model is crucial for the understanding the pathologies involved in anxiety, panic, and post-traumatic stress disorders.

Abstract

Fear- and anxiety-related behaviors significantly contribute to an organism’s survival. However, exaggerated defensive responses to perceived threat are characteristic of various anxiety disorders, which are the most prevalent form of mental illness in the United States. Discovering the neurobiological mechanisms responsible for defensive behaviors will aid in the development of novel therapeutic interventions. Pavlovian fear conditioning is a widely used laboratory paradigm to study fear-related learning and memory. A major limitation of traditional Pavlovian fear conditioning paradigms is that freezing is the only defensive behavior monitored. We recently developed a modified Pavlovian fear conditioning paradigm that allows us to study both conditioned freezing and flight (also known as escape) behavior within individual subjects. This model employs higher intensity footshocks and a greater number of pairings between the conditioned stimulus and unconditioned stimulus. Additionally, this conditioned flight paradigm utilizes serial presentation of pure tone and white noise auditory stimuli as the conditioned stimulus. Following conditioning in this paradigm, mice exhibit freezing behavior in response to the tone stimulus, and flight responses during the white noise. This conditioning model can be applied to the study of rapid and flexible transitions between behavioral responses necessary for survival.

Introduction

Fear is an evolutionarily conserved adaptive response to an immediate threat^1,2. While organisms possess innate defensive responses to a threat, learned associations are crucial to elicit appropriate defensive responses to stimuli predictive of danger³. Dysregulation in brain circuits controlling defensive responses is likely to contribute to maladaptive reactions associated with multiple debilitating anxiety disorders, such as post-traumatic stress disorder (PTSD), panic disorder⁴, and specific phobias^5,6. The prevalence rate in the United States for anxiety disorders is 19.1% for adults and 31.9% in adolescents^7,8. The burden of these illnesses is extremely high on the daily routine of individuals and negatively impacts their quality of life.

Over the last several decades, Pavlovian fear conditioning has served as a powerful model system to gain tremendous insight into the neural mechanisms underlying fear-related learning and memory^9,10,11. Pavlovian fear conditioning entails pairing a conditioned stimulus (CS, such as an auditory stimulus) with an aversive unconditioned stimulus (US; for example, an electrical footshock)¹². Because freezing is the dominant behavior evoked and measured in standard Pavlovian conditioning paradigms, the neural control mechanisms of active forms of defensive behavior such as escape/flight responses remain largely unexplored. Previous studies show that different forms of defensive behavior, such as flight, are evoked depending upon the threat intensity, proximity and context^13,14. Studying how the brain controls different types of defensive behavior may significantly contribute to the understanding of the neuronal processes that are dysregulated in fear and anxiety disorders.

To address this critical need, we developed a modified Pavlovian conditioning paradigm that elicits flight and escape jumps, in addition to freezing¹⁵. In this paradigm, mice are conditioned with a serial compound stimulus (SCS) consisting of a pure tone followed by white noise. Following two days of pairing the SCS with a strong electrical footshock, mice exhibit freezing in response to the tone component and flight during the white noise. Behavioral switches between conditioned freezing and flight behavior are rapid and consistent. Interestingly, mice exhibit flight behavior only when the white noise CS is presented in the same context as a previously delivered footshock (the conditioning context) but not in a neutral context. Instead, freezing responses dominate in this the neutral context, with significantly greater levels of freezing in response to the white noise compared to the tone. This is consistent with the role of context in modulating defensive response intensity and with the regulatory role of contextual information in fear-related learning and memory found in traditional threat conditioning paradigms^16,17. This model allows for direct, within-subject comparisons of multiple defensive behaviors in a context-specific manner.

Protocol

The following steps/procedures were conducted in accordance with institutional guidelines after approval from the Institutional Animal Care & Use Committee of Tulane University.

1. Preparation of mice

1. Use male and/or female adult mice aged between 3-5 months. In the present study, we used male C57BL/6J mice obtained from Jackson Laboratory, but any mouse strain from a reputable supplier can be used.
2. At least one week before the experiment, house all the mice individually on a 12:12 h light/dark cycle throughout the study. Provide the mice ad libitum access to food and water.
3. Perform all behavioral experiments during the light cycle. Perform all sessions at the same time of day within an individual cohort. For example, if starting the experiment at 9 AM on Day 1, continue starting at that time until the experiment is completed.

2. Preparation of study materials

1. Study contexts
   1. Choose two different contexts to perform the experiments in.
   2. Use a cylindrical chamber composed of clear Plexiglas (diameter 30 cm) as context A, with a smooth Plexiglas floor. The height of the chamber should be sufficient to prevent escape (at least 30 cm high).
   3. For Context B use a rectangular enclosure (25 cm x 30 cm) with an electrical grid floor used to deliver alternating current footshocks. The height of this chamber is very important and should be at least 35 cm. high. Alternatively, use a transparent roof (ensure that video can be recorded through this material).
      NOTE: Use a chamber with smooth wall surfaces that can be easily cleaned.
   4. Use a different cleaning solution to clean the contexts. For example, clean context A with 1% acetic acid and context B with 70% ethanol. Clean the contexts before beginning the first session, between testing individual mice, and after completion of the day’s sessions. This is vital to remove the olfactory cues from previous mice. Thorough cleaning will also help prevent urine scaling on the shock grid, which will compromise conditioning sessions.
      NOTE: The cleaning solutions also serve as an olfactory cue, therefore use the same cleaning liquid for a particular context.
   5. Place context A or context B in a sound-attenuating box during respective study sessions.
2. Audio generator
   1. Mount an overhead speaker above the contexts to deliver auditory stimuli at 75 dB.
   2. Use a programmable audio generator to generate auditory stimuli on a pre-defined schedule. The 7.5 kHz pure tone is a sound with a sinusoidal waveform, whereas the white noise is a random signal having equal intensity at different frequencies, ranging from 1-20,000 Hz.
   3. Use TTL pulses to deliver auditory stimuli and shock signals with temporal precision.
      NOTE: Before starting the experiments, measure the sound intensity output from the mounted speaker in each chamber using a dB meter.
3. Shocker: Connect the shocker with the electrical grid floor which is used to deliver the 0.9 mA AC shock. Define the frequency, onset, and duration of shocks in a computer program. Deliver each shock stimulus at the end of each SCS for a duration of 1 s, totaling five SCS-shock pairings per conditioning session.

3. Preparation of computer program and video tracking

1. Generate behavioral protocols using coding in a software program.
2. In the program, define the serial compound stimulus SCS. This stimulus is a serial presentation of a 10 s pure tone (each pip is presented for 500 ms, at frequency of 7.5 kHz and rate of 1 Hz) and 10 s white noise (500 ms pips at 1 Hz).
3. Define the inter-trial intervals (ITI) presented following each trial, pseudorandomly.
4. During the study, record all mouse behavior to video for subsequent analysis.
   NOTE: Commercially available fear conditioning boxes may not be set up to record the behaviors through the top-mounted camera. This is very important since the recorded video is used to calculate horizontal movement, speed and total distance travelled by the animal.
5. For setting the software tracking, place a test mouse in each relevant context, adjust the contour tracking sensitivity, and define the center of gravity. This will ensure the acquisition of reliable data on relative position. In addition, define the whole context area accessible to the subject.
   NOTE: The adjustment of contour size for both contexts is important as the change in brightness in different contexts will change the contour size.
6. Determine a calibration coefficient using the chambers’ known sizes and the camera’s pixel dimensions which can be used to calculate speed (cm/s).
7. Synchronize the data acquisition computer’s timestamp events to their real-time occurrences.

4. Behavioral experiment

1. Turn on all the equipment: computers, fear conditioning box controller, shocker, and video and timestamp recording software. Make sure instruments are turned on in the appropriate order.
2. Check all the functions including tone, white noise, and shock delivery, and set up the system for the data acquisition.
3. Transport the animals from their storage room to the conditioning room. Allow them to acclimatize there for at least 10 min.
4. Take the animal out from the home cage, gently place it in the respective context, and then immediately activate the computer programs.
   NOTE: The initialization of both fear conditioning system and data collection (timestamps, mouse tracking and video recording) software at a time can be synchronized using TTL pulse mediated activations.
5. Pre-conditioning/Pre-exposure
   1. On Day 1, place the subject into context A (neutral context). Allow it to acclimate to the chamber for 3 min (the baseline period), and then expose it to 4 trials of a SCS of 20 s total duration (Figure 1A-1B).
   2. Maintain a 90 s average pseudorandom ITI (range 80-100 s). The total duration of each pre-exposure session is 590 s.
6. Fear conditioning
   1. On Day 2 and Day 3, place the subject into Context B. Following a 3 min baseline period, expose the subject to five pairings of the SCS co-terminating with a 1 s, 0.9 mA AC footshock.
   2. Maintain a 120 s average pseudorandom ITI (range 90-150 s). Have each conditioning session last for 820 s in total (Figure 1A).
   3. Depending on the goal of the experiment, subject mice on Day 4 to either a recall test (see step 4.7) or to fear extinction (see step 4.8).
7. Fear recall (to test context dependence)
   1. On Day 4, place the subject into Context A. After the 3 min baseline period, present it with 4 trials of the SCS without footshock, over 590 s.
   2. Maintain a 90 s average pseudorandom ITI (range 80-100 s).
8. Fear extinction
   1. On Day 4, place the subject into context B. Following the 3 min baseline period, present 16 trials of the SCS without footshock, over 1910 s.
   2. Maintain a 90 s average pseudorandom ITI (range 60-120 s).
9. Return the animal to its home cage and repeat the procedure for all the animals.

5. Quantification of behavior

1. Have an observer blind to the experiment score the recorded videos for freezing behavior using automatic freezing detector thresholding followed by a frame-by-frame analysis of pixel changes.
   NOTE: Other software packages can also be used to calculate freezing automatically by using 2 camera system. It is also possible for an observer to manually score freezing behavior.
2. Define freezing as a complete cessation of bodily movements, except for those required for respiration, for a minimum of 1 s.
3. Score jumps when all 4 of the paws leave the floor, resulting in a vertical and/or horizontal movement.
4. Export the marked file with freezing, jump and event markers.
5. Extract relevant events (freezing and jumps) from defined time periods (e.g., 10 s duration of pre-SCS, tone and white noise, for each trial).
6. Using the extracted start-stop durations of events in a spreadsheet file, calculate the duration of freezing (in s) by subtracting start time from end time, from the respective trial periods.
7. Represent this data trial-wise or day-wise, by summing up freezing duration from all trials.
   NOTE: Depending on the purpose of the study, the flight or freezing behaviors can be scored and calculated from any trial/duration from the study session.
8. Sum the total number of jumps from a particular trial duration.
9. Extract the file generated by mouse tracking coordinates from frame by frame X-Y axis movement of the center of gravity of mouse and calculate the speed of the mouse (cm/s).
   NOTE: The speed data may be present either in the cm/s or pixel/s format. Convert the pixel/s unit to cm/s by using inch or cm/pixel value defined in the video for that testing context (please see section 3.6).
10. After extracting speed data for frame by frame movement of the animal, based on frame rate of the video (preferably 30 frames/s), calculate the average speed of the animal in a specific frame number bracket (multiply start and end times in s by 30 to get the start and end frame number).
11. Calculate the flight scores by dividing the average speed during each SCS by the average speed during the 10 s pre-SCS (baseline, BL) and then adding 1 point for each escape jump (speedCS/speedBL + # of jumps). A flight score of 1 therefore indicates no change in flight behavior from the pre-SCS period.
12. Optionally, score videos manually for other behaviors such as rearing and grooming.

6. Statistical analysis

1. Analyze data for statistical significance using statistical analysis software. For all tests, the definition of statistical significance is P<0.05.
2. Check the data for normal distribution using the Shapiro-Wilk normality test (α=0.05).
3. To test the effect of cues, carry out the pairwise comparisons using the appropriate parametric (paired t-test) or non-parametric (Wilcoxon signed-rank test) test.
4. To assess the 2-way interaction of factors (cue X trial), perform a 2-way ANOVA followed by post-hoc tests (e.g., Bonferroni’s multiple comparison test/Tukey’s test).

Results

As described in the diagram (Figure 1A), the session starts with pre-exposure (Day 1), followed by fear conditioning (Days 2 and 3), and then either extinction or retrieval (Day 4).

Presentations of the SCS in the pre-exposure (Day 1) session did not elicit flight or freezing response in the mice (Figure 2A-2B). Behavioral analysis during conditioning (Days 2 and 3) revealed that the tone component of the SCS signific...

Discussion

The described sound and shock parameters are important elements of this protocol. It is critical, therefore, to test the shock amplitude and sound pressure level before starting the experiments. Fear conditioning studies typically use 70-80 dB sound pressure levels and 0.1-1 mA shock intensity¹⁸; thus, the described parameters are within the bounds of traditional fear conditioning paradigms. In a previous CS-only (no footshock) control experiment, we did not observe flight or freezing responses in...

Materials

Name	Company	Catalog Number	Comments
Neutral context			Plexiglass cylinder 30 X 30 cm
Fear conditioning box	Med Associates, Inc.	VFC-008	25 X 30 X 35 cm dimentions
Audio generator	Med Associates, Inc.	ANL-926
Shocker	Med Associates Inc.	ENV-414S	Stainless steel grid
Speaker	Med Associates, Inc.	ENV-224AM	Suitable for pure tone and white noise
C57/BL6J mice	Jackson laboratory, USA	664	Aged 3-5 month
Cineplex software (Editor/ studio)	Plexon	CinePlex Studio v3.8.0	For video tracking and behavioral scoring analysis
MedPC software V	Med Associates, Inc.	SOF-736
Neuroexplorer	Plexon		Used to extract the freezing data scored in PlexonEditor
GraphPad Prism 8	GraphPad Software, Inc.	Version 8	Statistical analysis software