Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces

Abstract

AbstractFunctional Magnetic Resonance Imaging (fMRI) data is commonly used to localise implantation sites for intracranial-based Brain-Computer Interfaces (BCIs). Functional data recorded during sensory and motor tasks from both adults and children specifically designed to map and localise BCI target areas is rare. Here, we describe a large-scale dataset collected from 155 human subjects during motor and sensory tasks involving the fingers, hands, arms, feet, legs, and mouth region. The dataset includes data from both adults and children (age range: 6-89 years) performing a restricted set of standardized tasks. This dataset is particularly relevant to study developmental patterns in motor representation on the cortical surface and for the design of paediatric motor-based implanted BCIs.