The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments.

ABSTRACT: Decoded neurofeedback (DecNef) is a form of closed-loop functional magnetic resonance imaging (fMRI) combined with machine learning approaches, which holds some promises for clinical applications. Yet, currently only a few research groups have had the opportunity to run such experiments; furthermore, there is no existing public dataset for scientists to analyse and investigate some of the factors enabling the manipulation of brain dynamics. We release here the data from published DecNef studies, consisting of 5 separate fMRI datasets, each with multiple sessions recorded per participant. For each participant the data consists of a session that was used in the main experiment to train the machine learning decoder, and several (from 3 to 10) closed-loop fMRI neural reinforcement sessions. Th

SUBMITTER: Cortese A 

PROVIDER: S-EPMC7902847 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature