Neuroscout, a unified platform for generalizable and reproducible fMRI research

Author:

de la Vega Alejandro1ORCID,Rocca Roberta12,Blair Ross W3,Markiewicz Christopher J3ORCID,Mentch Jeff45,Kent James D1,Herholz Peer6ORCID,Ghosh Satrajit S57ORCID,Poldrack Russell A3,Yarkoni Tal1

Affiliation:

1. Department of Psychology, The University of Texas at Austin

2. Interacting Minds Centre, Aarhus University

3. Department of Psychology, Stanford University

4. Program in Speech and Hearing Bioscience and Technology, Harvard University

5. McGovern Institute for Brain Research, Massachusetts Institute of Technology

6. McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University

7. Department of Otolaryngology, Harvard Medical School

Abstract

Functional magnetic resonance imaging (fMRI) has revolutionized cognitive neuroscience, but methodological barriers limit the generalizability of findings from the lab to the real world. Here, we present Neuroscout, an end-to-end platform for analysis of naturalistic fMRI data designed to facilitate the adoption of robust and generalizable research practices. Neuroscout leverages state-of-the-art machine learning models to automatically annotate stimuli from dozens of fMRI studies using naturalistic stimuli—such as movies and narratives—allowing researchers to easily test neuroscientific hypotheses across multiple ecologically-valid datasets. In addition, Neuroscout builds on a robust ecosystem of open tools and standards to provide an easy-to-use analysis builder and a fully automated execution engine that reduce the burden of reproducible research. Through a series of meta-analytic case studies, we validate the automatic feature extraction approach and demonstrate its potential to support more robust fMRI research. Owing to its ease of use and a high degree of automation, Neuroscout makes it possible to overcome modeling challenges commonly arising in naturalistic analysis and to easily scale analyses within and across datasets, democratizing generalizable fMRI research.

Funder

National Institute of Mental Health

Canada First Research Excellence Fund

Brain Canada Foundation

Unifying Neuroscience and Artificial Intelligence

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference90 articles.

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3. Neuroscout;Alejandro de la,2022

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5. Neuroscout;Alejandro de la,2022

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