[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 …

Open Science 2.0: Towards a truly collaborative research ecosystem

RT Thibault, OB Amaral, F Argolo, AE Bandrowski… - PLoS …, 2023 - journals.plos.org
Conversations about open science have reached the mainstream, yet many open science
practices such as data sharing remain uncommon. Our efforts towards openness therefore …

Analysis of task-based functional MRI data preprocessed with fMRIPrep

O Esteban, R Ciric, K Finc, RW Blair, CJ Markiewicz… - Nature protocols, 2020 - nature.com
Functional magnetic resonance imaging (fMRI) is a standard tool to investigate the neural
correlates of cognition. fMRI noninvasively measures brain activity, allowing identification of …

Current challenges in translational and clinical fMRI and future directions

K Specht - Frontiers in psychiatry, 2020 - frontiersin.org
Translational neuroscience is an important field that brings together clinical praxis with
neuroscience methods. In this review article, the focus will be on functional neuroimaging …

[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 …

A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke

CF Liu, R Leigh, B Johnson, V Urrutia, J Hsu, X Xu, X Li… - Scientific Data, 2023 - nature.com
To extract meaningful and reproducible models of brain function from stroke images, for both
clinical and research proposes, is a daunting task severely hindered by the great variability …

[HTML][HTML] Opportunities for increased reproducibility and replicability of developmental neuroimaging

ET Klapwijk, W van den Bos, CK Tamnes… - Developmental cognitive …, 2021 - Elsevier
Many workflows and tools that aim to increase the reproducibility and replicability of
research findings have been suggested. In this review, we discuss the opportunities that …

The Aphasia Recovery Cohort, an open-source chronic stroke repository

M Gibson, R Newman-Norlund, L Bonilha… - Scientific Data, 2024 - nature.com
Sharing neuroimaging datasets enables reproducibility, education, tool development, and
new discoveries. Neuroimaging from many studies are publicly available, providing a …

[HTML][HTML] Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol

DC Dean III, MD Tisdall, JL Wisnowski, E Feczko… - Developmental cognitive …, 2024 - Elsevier
Abstract The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective
longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and …

Multisite test–retest reliability and compatibility of brain metrics derived from FreeSurfer versions 7.1, 6.0, and 5.3

E Haddad, F Pizzagalli, AH Zhu, RR Bhatt… - Human Brain …, 2023 - Wiley Online Library
Automatic neuroimaging processing tools provide convenient and systematic methods for
extracting features from brain magnetic resonance imaging scans. One tool, FreeSurfer …