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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Results
  • Discussion
  • Disclosures
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Avoidance is central to chronic pain disability, yet adequate paradigms for examining pain-related avoidance are lacking. Therefore, we developed a paradigm that allows investigating how pain-related avoidance behavior is learned (acquisition), spreads to other stimuli (generalization), can be mitigated (extinction), and how it may subsequently re-emerge (spontaneous recovery).

Abstract

Avoidance behavior is a key contributor to the transition from acute pain to chronic pain disability. Yet, there has been a lack of ecologically valid paradigms to experimentally investigate pain-related avoidance. To fill this gap, we developed a paradigm (the robotic arm-reaching paradigm) to investigate the mechanisms underlying the development of pain-related avoidance behavior. Existing avoidance paradigms (mostly in the context of anxiety research) have often operationalized avoidance as an experimenter-instructed, low-cost response, superimposed on stimuli associated with threat during a Pavlovian fear conditioning procedure. In contrast, the current method offers increased ecological validity in terms of instrumental learning (acquisition) of avoidance, and by adding a cost to the avoidance response. In the paradigm, participants perform arm-reaching movements from a starting point to a target using a robotic arm, and freely choose between three different movement trajectories to do so. The movement trajectories differ in probability of being paired with a painful electrocutaneous stimulus, and in required effort in terms of deviation and resistance. Specifically, the painful stimulus can be (partly) avoided at the cost of performing movements requiring increased effort. Avoidance behavior is operationalized as the maximal deviation from the shortest trajectory on each trial. In addition to explaining how the new paradigm can help understand the acquisition of avoidance, we describe adaptations of the robotic arm-reaching paradigm for (1) examining the spread of avoidance to other stimuli (generalization), (2) modeling clinical treatment in the lab (extinction of avoidance using response prevention), as well as (3) modeling relapse, and return of avoidance following extinction (spontaneous recovery). Given the increased ecological validity, and numerous possibilities for extensions and/or adaptations, the robotic arm-reaching paradigm offers a promising tool to facilitate the investigation of avoidance behavior and to further our understanding of its underlying processes.

Introduction

Avoidance is an adaptive response to pain signaling bodily threat. Yet, when pain becomes chronic, pain and pain-related avoidance lose their adaptive purpose. In line with this, the fear-avoidance model of chronic pain1,2,3,4,5,6,7,8 posits that erroneous interpretations of pain as catastrophic, trigger increases in fear of pain, which motivate avoidance behavior. Excessive avoidance can lead to the development and maintenance of chronic pain disability, due to physical disuse and decreased engagement in daily activities and aspirations1,2,3,4,5,9. Furthermore, given that the absence of pain can be misattributed to avoidance rather than recovery, a self-sustaining cycle of pain-related fear and avoidance can be established10.

Despite recent interest in avoidance in the anxiety literature11,12, research on avoidance in the pain domain is still in its infancy. Previous anxiety research, guided by the influential two-factor theory13, has generally assumed fear to drive avoidance. Correspondingly, traditional avoidance paradigms12 entail two experimental phases, each corresponding to one factor: the first to establish fear (Pavlovian conditioning14 phase), and the second to examine avoidance (Instrumental15 phase). During differential Pavlovian conditioning, a neutral stimulus (conditioned stimulus, CS+; e.g., a circle) is paired with an intrinsically aversive stimulus (unconditioned stimulus, US; e.g., an electric shock), which naturally produces unconditioned responses (URs, e.g., fear). A second control stimulus is never paired with the US (CS-; e.g., a triangle). Following pairings of the CSs with the US, the CS+ will elicit fear in itself (conditioned responses, CRs) in the absence of the US. The CS- comes to signal safety and will not trigger CRs. Afterwards, during instrumental conditioning, participants learn that their own actions (responses, R; e.g., button-press) lead to certain consequences (outcomes; O, e.g., the omission of shock)15,16. If the response prevents a negative outcome, the chance of that response recurring increases; this is referred to as negative reinforcement15. Thus, in the Pavlovian phase of traditional avoidance paradigms, participants first learn the CS-US association. Subsequently, in the instrumental phase, an experimenter-instructed avoidance response (R) is introduced, canceling the US if performed during CS presentation, establishing a R-O association. Thus, the CS becomes a discriminative stimulus (SD), indicating the appropriate moment for, and motivating the performance of, the conditioned R15. Apart from some experiments showing instrumental conditioning of pain reports17 and pain-related facial expressions18, investigations into the instrumental learning mechanisms of pain, in general, are limited.

Although the standard avoidance paradigm, described above, has elucidated many of the processes underlying avoidance, it also has several limitations5,19. First, it does not allow examining the learning, or acquisition, of avoidance itself, because the experimenter instructs the avoidance response. Having participants freely choose between multiple trajectories, and, therefore, learn which responses are painful/safe and which trajectories to avoid/not avoid, more accurately models real-life, where avoidance emerges as a natural response to pain9. Second, in traditional avoidance paradigms, the button-press avoidance response comes at no cost. However, in real life, avoidance can become extremely costly for the individual. Indeed, high-cost avoidance especially disrupts daily functioning5. For example, avoidance in chronic pain can severely limit people’s social and working lives9. Third, dichotomous responses such as pressing/not pressing a button also do not very well represent real life, where different degrees of avoidance occur. In the following sections, we describe how the robotic arm-reaching paradigm20 addresses these limitations, and how the basic paradigm can be extended to multiple novel research questions.

Acquisition of avoidance
In the paradigm, participants use a robotic arm to perform arm-reaching movements from a starting point to a target. Movements are employed as the instrumental response because they closely resemble pain-specific, fear-evoking stimuli. A ball virtually represents participants’ movements on-screen (Figure 1), allowing participants to follow their own movements in real-time. During each trial, participants freely choose between three movement trajectories, represented on-screen by three arches (T1–T3), differing from each other in terms of how effortful they are, and in the likelihood that they are paired with a painful electrocutaneous stimulus (i.e., pain stimulus). Effort is manipulated as deviation from the shortest possible trajectory and increased resistance from the robotic arm. Specifically, the robot is programmed such that resistance increases linearly with deviation, meaning that the more participants deviate, the more force they need to exert on the robot. Furthermore, pain administration is programmed such that the shortest, easiest trajectory (T1) is always paired with the pain stimulus (100% pain/no deviation or resistance). A middle trajectory (T2) is paired with a 50% chance of receiving the pain stimulus, but more effort is required (moderate deviation and resistance). The longest, most effortful trajectory (T3) is never paired with the pain stimulus but requires the most effort to reach the target (0% pain/largest deviation, strongest resistance). Avoidance behavior is operationalized as the maximum deviation from the shortest trajectory (T1) per trial, which is a more continuous measure of avoidance, than for example, pressing or not pressing a button. Furthermore, the avoidance response comes at the cost of increased effort. Moreover, given that participants freely choose between the movement trajectories, and are not explicitly informed about the experimental R-O (movement trajectory-pain) contingencies, avoidance behavior is instrumentally acquired. Online self-reported fear of movement-related pain and pain-expectancy have been collected as measures of conditioned fear toward the different movement trajectories. Pain-expectancy is also an index of contingency awareness and threat appraisal21. This combination of variables allows scrutinizing the interplay between fear, threat appraisals, and avoidance behavior. Using this paradigm, we have consistently demonstrated the experimental acquisition of avoidance20,22,23,24.

Generalization of avoidance
We have extended the paradigm to investigate generalization of avoidance23—a possible mechanism leading to excessive avoidance. Pavlovian fear generalization refers to the spreading of fear to stimuli or situations (generalization stimuli, GSs) resembling the original CS+, with fear declining with decreasing similarity to the CS+ (generalization gradient)25,26,27,28. Fear generalization minimizes the need to learn relationships between stimuli anew, allowing swift detection of novel threats in ever-changing environments25,26,27,28. However, excessive generalization leads to fear of safe stimuli (GSs similar to CS-), thus causing unnecessary distress28,29. In line with this, studies using Pavlovian fear generalization consistently show that chronic pain patients excessively generalize pain-related fear30,31,32,33,34, whereas healthy controls show selective fear generalization. Yet, where excessive fear causes discomfort, excessive avoidance can culminate in functional disability, due to avoidance of safe movements and activities, and increased daily activity disengagement1,2,3,4,9. Despite its key role in chronic pain disability, research on the generalization of avoidance is scarce. In the paradigm adapted for studying generalization of avoidance, participants first acquire avoidance, following the procedure described above20. In a subsequent generalization phase, three novel movement trajectories are introduced in the absence of the pain stimulus. These generalization trajectories (G1–G3) lie on the same continuum as the acquisition trajectories, resembling each of these trajectories, respectively. Specifically, generalization trajectory G1 is situated between T1 and T2, G2 between T2 and T3, and G3 to the right of T3. In this way, generalization of avoidance to novel safe trajectories can be examined. In a previous study, we showed generalization of self-reports, but not avoidance, possibly suggesting different underlying processes for pain-related fear- and avoidance generalization23.

Extinction of avoidance with response prevention
The primary method of treating high fear of movement in chronic musculoskeletal pain is exposure therapy35—the clinical counterpart to Pavlovian extinction36, i.e., the reduction of CRs through repeated experience with the CS+ in the absence of the US36. During exposure for chronic pain, patients perform feared activities or movements in order to disconfirm catastrophic beliefs and expectations of harm34,37. Since these beliefs do not necessarily concern pain per se, but rather underlying pathology, movements are not always carried out pain-free in the clinic34. According to inhibitory learning theory38,39, extinction learning does not erase the original fear memory (e.g., movement trajectory-pain); rather, it creates a novel inhibitory extinction memory (e.g., movement trajectory-no pain), which competes with the original fear memory for retrieval40,41. The novel inhibitory memory is more context-dependent than the original fear memory40, deeming the extinguished fear memory susceptible to re-emergence (return of fear)40,41,42. Patients are often prevented from performing even subtle avoidance behaviors during exposure treatment (extinction with response prevention, RPE), to establish genuine fear extinction by preventing the misattribution of safety to avoidance10,43.

Return of avoidance
Relapse in terms of return of avoidance is still common in clinical populations, even after extinction of fear43,44,45,46. Although multiple mechanisms have been found to result in the return of fear47, little is known about those relating to avoidance22. In this manuscript, we specifically describe spontaneous recovery, i.e., return of fear and avoidance due to the passage of time40,47. The robotic arm-reaching paradigm has been implemented in a 2-day protocol to investigate return of avoidance. During day 1, participants first receive acquisition training in the paradigm, as described above20. In a subsequent RPE phase, participants are prevented from performing the avoidance response, i.e., they can only perform the pain-associated trajectory (T1) under extinction. During day 2, to test for spontaneous recovery, all trajectories are available again, but in the absence of pain stimuli. Using this paradigm, we showed that, one day after successful extinction, avoidance returned22.

Protocol

The protocols presented here meet the requirements of the Social and Societal Ethics committee of the KU Leuven (registration number: S-56505), and the Ethics Review Committee Psychology and Neuroscience of Maastricht University (registration numbers: 185_09_11_2017_S1 and 185_09_11_2017_S2_A1).

1. Preparing the laboratory for a test session

  1. Before the test session: Send the participant an e-mail informing him/her about the delivery of pain stimuli, of the general outline of the experiment, and the exclusion criteria. Exclusion criteria for healthy participants comprise: being under 18 years of age; chronic pain; analphabetism or diagnosed dyslexia; pregnancy; left-handedness; current/history of cardiovascular disease, chronic or acute respiratory disease (e.g., asthma, bronchitis), neurological disease (e.g., epilepsy), and/or psychiatric disorder (e.g., clinical depression, panic/anxiety disorder); uncorrected problems with hearing or vision; having pain in the dominant hand, wrist, elbow or shoulder that may hinder performing the reaching task; presence of implanted electronic medical devices (e.g., cardiac pacemaker); and presence of any other severe medical conditions.
  2. Due to COVID-19 safety precautions, ask the participant to wash/disinfect his/her hands upon arrival at the lab, and do so yourself. Wear a disposable facemask throughout the duration of the test session, and latex gloves whenever physical contact with the participant is required.
  3. Use two separate rooms or sections for the experimental setting: one for the participant and the other for the experimenter.
  4. Use one computer with two separate screens: one computer screen for the experimenter, and one larger television screen for the participant.
  5. To turn on the robotic arm (e.g., HapticMaster), press the power switch in the front of the robot (specific to this robot). Subsequently, turn on the emergency switch, which may later be used to turn off the robot if necessary.
  6. Recalibrate the robotic arm before each test day. This is done via a direct application programming interface (API) connection with the robotic arm, and only needs to be done once, at the beginning of the test day.
    1. To establish the API connection, open an internet browser on the computer, and type in the specific API address of the robotic arm.
    2. On the webpage, select State under HapticMASTER. Subsequently, press the Start button next to Init (for initialize).
      NOTE: This is the standard calibration procedure for this robot. Different robots may require different calibration procedures.
  7. Use a constant current stimulator, which is connected to the computer (see step 1.4). During the experiment, the pain stimulus is delivered via the experimental script, which runs on the computer. The experiment is programmed using a cross-platform game engine (see Table of Materials).
    1. For safety reasons, disable the constant current stimulator output by switching down the orange toggle switch in the upper-right corner of the stimulator’s front control panel.
    2. Use the orange toggle switch in the middle of the front control panel to set the output range to x 10 mA.
    3. Use the black rotary knob in the upper-left corner of the front control panel to set the pulse duration to 2 ms (2000 µs).
    4. To switch on the constant current stimulator, press the power button in the lower-left corner of the front control panel.

2. Screening for exclusion criteria and obtaining informed consent

  1. Position the participant approximately 2.5 m from the television screen (see step 1.4), at a comfortable distance (~15 cm) from the handle (sensor) of the robotic arm, in a chair with arm rests (Figure 1).
  2. Screen the participant for exclusion criteria by means of self-report (see step 1.1 for exclusion criteria).
  3. Inform the participant about the delivery of pain stimuli and of the general outline of the experiment. Also, inform him/her that he/she is free to withdraw participation at any point during the experiment, without any repercussions. Obtain written informed consent.
  4. To minimize physical contact with the participant, ensure that the participant section of the lab includes a table on which exclusion and informed consent forms, as well as a Tablet for questionnaires (see step 6.2) are placed before the participant’s arrival. The participant should be able to access and sign the forms independently using this table.

3. Attaching the stimulation electrodes

NOTE: The pain stimulus is a 2 ms square-wave electrical stimulus delivered cutaneously through two stainless steel bar stimulation electrodes (electrode diameter 8 mm, interelectrode distance 30 mm).

  1. If the participant is wearing long sleeves, ask him/her to roll up the sleeve on his/her right arm at least 10 cm above his/her elbow.
  2. Fill the center of the stimulation electrodes with conductive electrolyte gel and plug the electrode cables to the emergency switch, which is connected to the constant current stimulator in the experimenter section of the lab.
  3. Attach the stimulation electrodes over the triceps tendon of the participant’s right arm using a strap. Make sure the strap is neither too tight nor too loose. Once the electrodes have been attached, tell the participant to relax his/her arm.

4. Calibrating the pain stimulus

  1. Explain the pain calibration procedure and corresponding scale by presenting it on the television screen (see step 1.4).
    1. Clarify to the participant that he/she may choose the stimulus which he/she will receive during the experiment, but explain that for data integrity he/she is asked to select a stimulus that he/she would describe as “significantly painful and demanding some effort to tolerate”.
    2. Ask the participant to rate each stimulus on the numerical scale presented on the television screen, ranging from 0–10, where 0 is labeled as “I feel nothing”; 1 as “I feel something, but this is not unpleasant; it is only a sensation” (i.e., detection threshold), 2 as “the stimulus is not yet painful, but is beginning to be unpleasant”; 3 as “the stimulus starts being painful” (i.e. pain threshold); and 10 as “this is the worst pain I can imagine”.
  2. Enable the constant current stimulator output by switching up the orange toggle switch (see step 1.7.1).
  3. During the pain calibration procedure, manually increase the intensity of the pain stimuli using the rotary knob on the front control panel of the constant current stimulator. The intensity of the pain stimulus can be seen above this knob.
    1. Start with an intensity of 1 mA, and gradually increase the intensity in a stepwise manner, with increases of 1, 2, 3, and 4 mA increments. Use the following order of stimulus presentations in mA: 1, 2, 4, 6, 8, 11, 14, 17, 20, 24, 28, 32, 36, 40, 44, 48, 52, etc.
  4. To deliver the pain stimuli one stimulus at a time, manually trigger the constant current stimulator by pressing the orange trigger button on the front control panel.
    1. Announce each stimulus to the participant before triggering the constant current stimulator.
  5. Terminate the calibration procedure once the participant reaches a pain intensity level which he/she would describe as “significantly painful and demanding some effort to tolerate”. Ideally, this should correspond to a 7–8 on the pain calibration rating scale.
  6. Document the participant’s final pain intensity in mA and his/her pain intensity rating (0–10) and maintain this intensity for the remainder of the experiment.

5. Running the experimental task

  1. Verbally inform the participant that he/she will receive instructions about the robotic arm-reaching paradigm on the television screen in front of him/her, after which he/she will be able to practice the task under the supervision of the experimenter.
  2. Provide the participant with standardized written instructions of the task on-screen.
  3. Practice: Via the experimental script, on the television screen, present three arches (T1–T3) situated midway through the movement plane. The easiest arm movement (T1) is paired with no deviation or resistance, the middle arm movement (T2) is paired with moderate deviation and resistance, and the furthest arm movement (T3) is paired with the largest deviation and strongest resistance.
    1. Instruct the participant to use his/her dominant hand to operate the sensor of the robotic arm, represented by a green ball on the television screen, and to move the ball/sensor from a starting point at the lower-left corner of the movement plane, to a target at the upper-left corner of the movement plane.
    2. Instruct the participant that he/she can freely choose which one of the available movement trajectories to perform on each trial.
  4. Do not administer the pain stimulus (see section 3: Note and step 5.7.6) during the practice phase. However, ensure that the relationship between deviation and resistance (see step 5.3) is in place.
  5. Provide the participant with verbal feedback while they perform the practice phase.
    1. Ensure the participant does not start moving before the visual and auditory “start signals”, and that he/she releases the robotic arm immediately when the visual and auditory “stop signals” are presented.
      NOTE: Two distinct auditory signals (a “start tone” and a “scoring tone”) and two distinct visual signals (the target and a virtual “traffic light” turning green and red, respectively; Figure 1) have been used as start and stop signals. Auditory and visual start signals are presented simultaneously, as are auditory and visual stop signals.
    2. Instruct the participant to provide self-report measures of pain-expectancy and fear of movement-related pain on a continuous rating scale, by scrolling to the left and right on the scale using two respective foot pedals on a triple foot switch. Instruct him/her to confirm his/her answer using a third foot pedal.
      NOTE: Present self-report questions on fixed, predetermined trials, for each movement trajectory separately. Ensure, via the experimental script, that the robotic arm is immobilized and remains fixed during the time the participant is responding to the questions.
  6. At the end of the practice phase, respond to the participant’s questions. Leave the experimental section/room and dim the lights. The participant starts the experiment himself/herself by pressing the ‘Confirm’ foot pedal (see step 5.5.2).
  7. Acquisition: During avoidance acquisition, similarly to the practice phase, let the participant choose which movement trajectory (T1–T3) to perform on each trial.
    1. During avoidance acquisition, subject the participant to the experimental Response-Outcome (movement trajectory-pain) contingencies, and to the avoidance-costs, i.e., the tradeoff between pain and effort, via the experimental script.
    2. Specifically, if the participant performs the easiest movement trajectory (T1), always present the pain stimulus (100% pain/no deviation or resistance).
    3. If he/she performs the middle movement trajectory (T2), present the pain stimulus with a 50% chance, but ensure he/she will have to exert more effort (moderate deviation and resistance).
    4. If the participant performs the furthest, most effortful movement trajectory (T3), do not present the pain stimulus at all, but ensure that he/she will have to exert the most effort to reach the target (0% pain/largest deviation, strongest resistance).
      NOTE: If applicable to the design, a Yoked Group can be used as control. In yoked procedures, each control participant is paired with a participant in the experimental group, such that the two receive the same reinforcement schedules48. Thus, in the current paradigm, each Yoked Group participant receives pain stimuli on the same trials as his/her Experimental Group counterpart, regardless of the trajectories he/she chooses. No acquisition of avoidance behavior is expected in the Yoked Group, given the lack of manipulated Response-Outcome (movement trajectory-pain) contingencies.
    5. Where applicable, save data from each Experimental Group participant on the computer (see section 1.4), and use as reference for the reinforcement schedules of each Yoked (control) Group participant.
      1. If using a Yoked procedure (i.e., each control participant is paired with a participant in the experimental group, such that the two receive the same reinforcement schedules48), allocate participants to groups using a randomization schedule with the rule that the first participant must be in the Experimental Group. Following this, participants are assigned to either group randomly, as long as, at each point, the number of Experimental Group participants exceeds the number of Yoked Group participants.
    6. On trials with a pain stimulus, present the pain stimulus once two-thirds of the movement has been performed, i.e., once the participant has moved through a trajectory arch. The constant current stimulator is automatically triggered via the experimental script.
    7. Successful trial-completion is indicated by the presentation of visual and auditory stop signals. Subsequently, ensure, via the experimental script, that the robotic arm automatically returns to its starting position where it remains fixed. After 3,000 ms, present the visual and auditory start signals, and the participant can start the next trial.
      NOTE: Trial duration differs between trials and participants, due to differences in movement speeds. The number of trials per experimental phase can also change between experiments. We recommend a minimum of 2 x 12 trials for successful acquisition of avoidance. Including the steps described above, the acquisition protocol lasts approximately 45 min.
  8. Generalization: In the generalization protocol, test for generalization of avoidance after the acquisition phase (see section 5.7).
    NOTE: When testing for generalization of avoidance, the on-screen trajectory arches are separated during acquisition, to leave room for the generalization trajectory arches, which are positioned between the acquisition trajectory arches (see Figure 1).
    1. On the television screen, present three novel movement trajectories instead of the acquisition trajectories T1–T3. Ensure that these “generalization trajectories” (G1–G3) are located adjacent to the acquisition trajectories. Specifically, G1 is situated between T1 and T2, G2 between T2 and T3, and G3 to the right of T3 (see Figure 1). Do not pair generalization trajectories with the pain stimulus.
      NOTE: Including the steps described above, with a generalization phase of 3 x 12 trials, the avoidance generalization protocol lasts approximately 1.5 h. A Yoked Group48 is required for testing generalization of avoidance (see step 5.7.5). However, different controls can be used depending on the specific research question (cf. context modulation of avoidance in a within-subjects design24).
  9. Extinction with response prevention (RPE): In the RPE protocol, after the acquisition phase (see section 5.7), provide the participants with standardized written instructions stating that in the upcoming phase they are only allowed to perform T1.
    1. During the RPE phase, via the experimental script, visually (e.g., blocking the trajectory arches with a gate) and/or haptically (e.g., block participant’s arm movement with a haptic wall) block T2 and T3, so that only T1 is available. T1 is not paired with the pain stimulus during this phase. Including the steps described above, with an RPE phase of 4 x 12 trials, this session lasts approximately 60 min.
  10. Test of spontaneous recovery: For testing spontaneous recovery of avoidance, administer a 2-day protocol with 24 h ± 3 h in between sessions. On day 1, administer the RPE protocol (see section 5.9).
    1. On day 2, attach the stimulation electrodes (see section 3). Provide brief on-screen refresher instructions of the task. Do not include any information regarding the pain stimuli.
    2. Present the three acquisition trajectories (T1–T3, cf. acquisition phase, see section 5.7), in the absence of the pain stimulus. Including the post-experimental questionnaire (see section 6.2), and a spontaneous recovery phase of 4 x 12 trials, this session lasts approximately 45 min.
      NOTE: To prevent reinstatement of fear (i.e., return of fear following unexpected encounters with the pain stimulus42; see discussion), do not recalibrate the pain stimulus on day 2.

6. Concluding the experiment

  1. Once the participant has completed the experiment, detach the stimulation electrodes.
  2. Provide the participant with a Tablet located on the table in the participant’s section of the lab (see section 2.4), for responding to an exit questionnaire inquiring about the intensity and unpleasantness of the pain stimulus and avoidance-costs, as well as awareness of the experimental Response-Outcome (movement trajectory-pain) contingencies.
  3. While the participant completes the psychological trait questionnaires, clean off the electrolyte gel from the stimulation electrodes.
  4. Once the participant has finished completing the psychological trait questionnaires, provide him/her with a debriefing and reimbursement.
  5. Clean the stimulation electrodes thoroughly with a disinfectant solution appropriate for cleaning medical instruments; remove all the gel inside and around the electrodes. Dry the electrodes with soft tissue paper. Clean the sensor of the robotic arm with disinfectant wipes or spray.

Results

Acquisition of avoidance behavior is demonstrated by participants avoiding more (showing larger maximal deviations from the shortest trajectory) at the end of an acquisition phase, compared to the beginning of the acquisition phase (Figure 2, indicated by A)20, or as compared to a Yoked control group (Figure 3)23,48.

Acquisition of fear and pain-expecta...

Discussion

Given the key role of avoidance in chronic pain disability1,2,3,4,5, and the limitations faced by traditional avoidance paradigms19, there is a need for methods to investigate (pain-related) avoidance behavior. The robotic arm-reaching paradigm presented here addresses a number of these limitations. We have employed the paradigm in a se...

Disclosures

The authors have nothing to disclose.

Acknowledgements

This research was supported by a Vidi grant from the Netherlands Organization for Scientific Research (NWO), The Netherlands (grant ID 452-17-002) and a Senior Research Fellowship of the Research Foundation Flanders (FWO-Vlaanderen), Belgium (grant ID: 12E3717N) granted to Ann Meulders. The contribution of Johan Vlaeyen was supported by the “Asthenes” long-term structural funding Methusalem grant by the Flemish Government, Belgium.

The authors wish to thank Jacco Ronner and Richard Benning from Maastricht University, for programming the experimental tasks, and designing and creating the graphics for the described experiments.

Materials

NameCompanyCatalog NumberComments
1 computer and computer screenIntel Corporation64-bit Intel CoreRunning the experimental script
40 inch LCD screenSamsung GroupPresenting the experimental script
Blender 2.79Blender Foundation3D graphics software for programming the graphics of the experiment
C#Programming language used to program the experimental task
Conductive gelReckitt BenckiserK-Y GelFacilitates conduction from the skin to the stimulation electrodes
Constant current stimulatorDigitimer LtdDS7AGenerates electrical stimulation
HapticMasterMotekforce LinkRobotic arm
MatlabMathWorksFor writing scripts for participant randomization schedule, and for extracting maximum deviation from shortest trajectory per trial
QualtricsQualtricsWeb survey tool for psychological questionnaires
RstudioRstudio Inc.Statistical analyses
Sekusept PlusEcolabDisinfectant solution for cleaning medical instruments
Stimulation electrodesDigitimer LtdBar stimulating electrodeTwo reusable stainless steel disk electrodes; 8mm diameter with 30mm spacing
TabletAsusTek Computer Inc.ASUS ZenPad 8.0For providing responses to psychological trait questinnaires
Triple foot switchScytheUSB-3FS-2For providing self-report measures on VAS scale
Unity 2017Unity TechnologiesCross-platform game engine for writing the experimental script including presentations of electrocutaneous stimuli

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