[HTML][HTML] Open and reproducible neuroimaging: From study inception to publication

G Niso, R Botvinik-Nezer, S Appelhoff, A De La Vega… - NeuroImage, 2022 - Elsevier
Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

Reproducibility in neuroimaging analysis: challenges and solutions

R Botvinik-Nezer, TD Wager - Biological Psychiatry: Cognitive …, 2023 - Elsevier
Recent years have marked a renaissance in efforts to increase research reproducibility in
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …

The OpenNeuro resource for sharing of neuroscience data

CJ Markiewicz, KJ Gorgolewski, F Feingold, R Blair… - Elife, 2021 - elifesciences.org
The sharing of research data is essential to ensure reproducibility and maximize the impact
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN …

Exploring the impact of analysis software on task fMRI results

A Bowring, C Maumet, TE Nichols - Human brain mapping, 2019 - Wiley Online Library
A wealth of analysis tools are available to fMRI researchers in order to extract patterns of
task variation and, ultimately, understand cognitive function. However, this “methodological …

Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and 22q11. 2 deletion syndrome: a review of ENIGMA …

EJ Cheon, CE Bearden, D Sun… - Psychiatry and …, 2022 - Wiley Online Library
This review compares the main brain abnormalities in schizophrenia (SZ), bipolar disorder
(BD), major depressive disorder (MDD), and 22q11. 2 Deletion Syndrome (22q11DS) …

Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRI

F Acar, R Seurinck, SB Eickhoff, B Moerkerke - PloS one, 2018 - journals.plos.org
The importance of integrating research findings is incontrovertible and procedures for
coordinate-based meta-analysis (CBMA) such as Activation Likelihood Estimation (ALE) …

[HTML][HTML] Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use

AR Laird - NeuroImage, 2021 - Elsevier
Large, open datasets have emerged as important resources in the field of human
connectomics. In this review, the evolution of data sharing involving magnetic resonance …

brainlife. io: a decentralized and open-source cloud platform to support neuroscience research

S Hayashi, BA Caron, AS Heinsfeld, S Vinci-Booher… - Nature …, 2024 - nature.com
Neuroscience is advancing standardization and tool development to support rigor and
transparency. Consequently, data pipeline complexity has increased, hindering FAIR …

Ciftify: A framework for surface-based analysis of legacy MR acquisitions

EW Dickie, A Anticevic, DE Smith, TS Coalson… - Neuroimage, 2019 - Elsevier
The preprocessing pipelines of the Human Connectome Project (HCP) were made publicly
available for the neuroimaging community to apply the HCP analytic approach to data from …

[HTML][HTML] Understanding the nature of metadata: systematic review

H Ulrich, AK Kock-Schoppenhauer… - Journal of medical …, 2022 - jmir.org
Background Metadata are created to describe the corresponding data in a detailed and
unambiguous way and is used for various applications in different research areas, for …