TicTrainer

TicTrainer implements reward-enhanced exposure and response prevention (RE–ERP) to deliver automated differential reinforcement of tic-free periods (DRO) aimed at increasing voluntary tic suppression duration in individuals with Tourette syndrome (TS).


Key Features:

  • RE–ERP implementation: Implements reward-enhanced exposure and response prevention (RE–ERP) as the behavioral framework for tic suppression training.
  • Automated DRO: Performs automated differential reinforcement of tic-free periods (DRO) to provide contingent rewards for extended tic-free intervals.
  • External tic monitor support: Requires or supports an external tic monitor (e.g., parent or caregiver) to observe and confirm tic-free periods.
  • Masked comparison capability: Provides an optional masked comparison between DRO and noncontingent reward conditions for research on reinforcement effects.
  • Data handling: Does not store personally identifiable health information (PII).

Scientific Applications:

  • Tic suppression training: Applied to increase the duration of voluntary tic suppression in individuals with Tourette syndrome (TS) using RE–ERP and DRO.
  • Reinforcement contingency research: Enables masked comparison of DRO versus noncontingent reward conditions to study the impact of contingent reinforcement on tic expression.
  • ERP-based intervention research: Supports investigation of exposure and response prevention (ERP)-based approaches for tic disorders and TS.

Methodology:

Implements RE–ERP via automated differential reinforcement of tic-free periods (DRO) with external observer-confirmed tic-free intervals and an optional masked comparison between DRO and noncontingent reward conditions, while not storing personally identifiable health information.

Topics

Details

License:
MIT
Tool Type:
web application
Programming Languages:
JavaScript
Added:
8/9/2018
Last Updated:
12/10/2018

Operations

Publications

Black JK, Black KJ. Software for web-based tic suppression training. F1000Research. 2018;6:2150. doi:10.12688/f1000research.13460.2. PMID:30228859. PMCID:PMC6117856.

Documentation

Links