SoCal Kinesia and Incentivization for Parkinson’s Disase (SKIP)

By Neil Dundon, Elizabeth Rizor, BSc, Joanne Stasiak, BA, Jingyi Wang, PhD, Regina Lapate, PhD and Scott Grafton, MD
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Output Details

Description
SKIP combines three task-based fMRI datasets and one resting-state fMRI dataset into a single, centralized repository, facilitating researchers across human sciences interested in human movement, the modulatory impact of incentivization, with specific reference to Parkinson’s Disease (PD). The current version (1.0.1) contains healthy controls only. We will soon supplement SKIP with data from PD patients and also a broader range of assays in both healthy controls and PD subjects, including cardiac-autonomic and pupillometry data. Our goal for SKIP is to be 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.
Team
Team Strick
Program
Collaborative Research Network
Theme
Circuitry and Brain-Body Interactions

Meet the Authors

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    Neil Dundon

    Key Personnel: Team Strick, 

    University of California, Santa Barbara

  • Elizabeth Rizor, BSc

    Key Personnel: Team Strick, 

    University of California, Santa Barbara

  • Joanne Stasiak, BA

    Key Personnel: Team Strick, 

    University of California, Santa Barbara

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    Jingyi Wang, PhD

    Key Personnel: Team Strick, 

    University of California, Santa Barbara

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    Regina Lapate, PhD

    Collaborating PI: Team Strick, 

    University of California, Santa Barbara

  • Scott Grafton, MD

    Co-PI (Core Leadership): Team Strick, 

    University of California, Santa Barbara

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SoCal Kinesia and Incentivization for Parkinson’s Disease (SKIP): Ultra-High Field Functional Connectivity

Human Ultra-High Field Functional Connectivity data from the Socal Kinesia and Incentivization for Parkinson's Disease (SKIP) dataset.

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SoCal Kinesia and Incentivization for Parkinson’s Disease (SKIP): Approach-Avoid

The Approach-Avoid Task from the Socal Kinesia and Incentivization for Parkinson's Disease (SKIP) dataset. Participants reach towards or away from emotional images based on valence, creating congruent and incongruent emotion-action conditions.

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