Abstract

There have been many recent reports highlighting a crisis in replication and reliability of research in psychology, neuroscience, and neuroimaging. After a series of reports uncovered various methodological problems with functional magnetic resonance imaging (fMRI) research, considerable attention has been given to principles and practices to improve reproducibility of neuroimaging findings, including promotion of openness, transparency, and data sharing. However, much less attention has been given to use of open access neuroimaging datasets to conduct replication studies. A major barrier to reproducing neuroimaging studies is their high cost, in money and labor, and utilizing such datasets is an obvious solution for breaking down this barrier. The Human Connectome Project (HCP) is an open access dataset consisting of extensive neurological, behavioral, and genetics assessments and neuroimaging data from over 1,100 individuals. In the present study, findings supporting the replication of a highly cited neuroimaging study that showed correspondence between resting state and task brain networks, and novel findings on activation of brain networks during task performance that arose with this exercise are presented as a demonstration of use of the HCP for replication studies.

Highlights

  • Neuroscience published a Focus issue on Human Brain Mapping that presents several articles discussing these issues in more detail, including how to define what constitutes reproducibility in functional magnetic resonance imaging (fMRI) research[15,16]

  • Smith et al applied independent component analysis (ICA) to the BrainMap data and to resting state fMRI timeseries to derive 20 independent components from each dataset representing both large-scale brain networks and artifact-related effects

  • The Human Connectome Project (HCP) data used in the present study are different than the data used by Smith et al, with real contrast maps of parameter estimates (COPE) maps from first-level general linear modeling in each subject used as task fMRI input data, and subject-level spatial maps from independent component analysis (ICA) maps applied individually to each subject’s resting state fMRI data as the inputs into the group-level ICA

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Summary

Objectives

The primary goal of this report is to highlight the HCP data for replication studies of neuroimaging research and for replication of behavioral and genetics research. One of the aims of the present study was to bring attention to the HCP as a goldmine of behavioral data, neuroimaging data, and genetic data that can be used for replication studies

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