Main content
Decoding neural representations of human tool use from fMRI response patterns
- Stephanie Rossit
- Ethan Knights
- Fraser Smith
- Diana Tonin
- Courtney Mansfield
- Janak Saada
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: Most neuroimaging experiments that investigate how tools and their associated actions are represented in the brain use visual paradigms where objects and body parts are displayed as 2D images and no real movements are performed. These studies have discovered a tight relationship between hand- and tool-selective areas in LOTC and IPS, thought to reflect action-related processing but this claim has never been directly investigated. Here we addressed this by testing whether independently visually-defined category-selective areas were sensitive to real action properties involving 3D tools using fMRI MVPA.
Citation
Components
Data - BIDS MRI
All MRI data (fMRI real action, fMRI localizer and anatomical scans) is open
Data - ROI
Region of interest decoding and univariate data
Real action videos exemplars
Videos from MRI compatible infrared camera of hand movements during real action study
Experiment Code & Stimuli - Visual localizer
Code and stimuli for the Bodies, Tools, Hands and Chairs visual localizer.
Code - Run Experiment & Analysis
Code used to convert MRI dicom data for saving in openneuro
Presentations
Presentations of our data at academic conferences
Recent Activity
Start managing your projects on the OSF today.
Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.