SoCal Kinesia and Incentivization for Parkinson’s Disease (SKIP): Active Escape
Output Details
Description
Active Escape Task (activeescape) from the SKIP Dataset
The Socal Kinesia and Incentivization for Parkinson's Disease (SKIP) dataset facilitates research across human sciences, focusing on human movement and the modulatory impact of incentivization, specifically in the context of Parkinson's Disease (PD).
SKIP so far contains three task-based fMRI datasets and one resting-state fMRI dataset.
This dataset: Active Escape Task (activeescape)
Description: 69 participants tracking an 18-second countdown and making time-sensitive motor responses under the threat of electric shock.
Shock intensity (mild vs unpleasant) and controllability were manipulated.
In "controllable" trials, participants could avoid shocks if motor responses were fast enough.
In "uncontrollable" trials, a shock was always received.
Task design creates controllable-mild, uncontrollable-mild, controllable-unpleasant, and uncontrollable-unpleasant conditions.
Current Version: 1.0.1
Note: This version contains data from healthy controls only. Future updates will include data from PD patients and a broader range of assays in both healthy controls and PD subjects, such as cardiac-autonomic and pupillometry data.
Our goal for SKIP (https://socalkinesia.org/about/) is to become the leading global resource as the world advances in its capacity for powerful and innovative analyses, allowing researchers free access to comprehensive physiological and behavioral assays of movement, and how incentives influence them, in the context of PD.
Identifier (DOI)
10.18112/openneuro.ds005266.v1.0.0
