SoCal Kinesia and Incentivization for Parkinson’s Disease (SKIP): Incentivized Reaching
Output Details
Description
Incentivized Reaching Task (incenreach) 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: Incentivized Reaching Task (incenreach)
Description: 68 participants performing time-constrained precision reaches to spatial targets in different monetary incentive contexts.
Trials were categorized into "standard" (80%) and "high incentive" (20%) trials.
High incentive trials could either obtain a large reward (jackpot) or avoid a large loss (robber).
Task design compares positive and negative incentive valence.
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.ds005263.v1.0.0
