4.1 Article

A protocol for working with open-source neuroimaging datasets

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Neurosciences

Confound modelling in UK Biobank brain imaging

Fidel Alfaro-Almagro et al.

Summary: Dealing with confounds is essential in large cohort studies to address unexplained variance and spurious correlations. The UK Biobank is a powerful resource for studying associations between imaging and non-imaging measures, but the high statistical power also increases sensitivity to confound effects. Researchers must carefully consider these factors.

NEUROIMAGE (2021)

Editorial Material Psychiatry

Removing the Reliability Bottleneck in Functional Magnetic Resonance Imaging Research to Achieve Clinical Utility

Michael P. Milham et al.

Summary: This Viewpoint discusses the current challenges in reliability and applicability of functional magnetic resonance imaging research, and suggests potential options to enhance the utility of such research.

JAMA PSYCHIATRY (2021)

Article Psychology, Biological

A hitchhiker's guide to working with large, open-source neuroimaging datasets

Corey Horien et al.

Summary: Large datasets in neuroimaging are enabling researchers to conduct investigations with unprecedented rigor, but they also come with new challenges, especially for novice users. This paper offers a practical guide from the end-user's perspective, helping researchers navigate the complexities of working with large neuroimaging datasets.

NATURE HUMAN BEHAVIOUR (2021)

Article Biology

Design issues and solutions for stop-signal data from the Adolescent Brain Cognitive Development (ABCD) study

Patrick G. Bissett et al.

Summary: The ABCD study is a longitudinal neuroimaging project tracking brain development in children, but design issues such as variable stimulus durations and faulty stop-signal delays were identified during analysis of experimental code and data. The research team presented eight issues and proposed solutions for future data collection as well as retrospective solutions for existing data users.
Editorial Material Neurosciences

Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

Remi Gau et al.

Summary: Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment, complementing conventional formats to augment scientific progress.

NEURON (2021)

Article Biochemistry & Molecular Biology

Prediction of neurocognition in youth from resting state fMRI

Chandra Sripada et al.

MOLECULAR PSYCHIATRY (2020)

Article Psychology, Developmental

Behavioral and brain signatures of substance use vulnerability in childhood

Kristina M. Rapuano et al.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2020)

Article Biochemical Research Methods

fMRIPrep: a robust preprocessing pipeline for functional MRI

Oscar Esteban et al.

NATURE METHODS (2019)

Article Neurosciences

The Lifespan Human Connectome Project in Aging: An overview

Susan Y. Bookheimer et al.

NEUROIMAGE (2019)

Review Computer Science, Artificial Intelligence

Towards algorithmic analytics for large-scale datasets

Danilo Bzdok et al.

NATURE MACHINE INTELLIGENCE (2019)

Article Neurosciences

Harmonization of cortical thickness measurements across scanners and sites

Jean-Philippe Fortin et al.

NEUROIMAGE (2018)

Editorial Material Neurosciences

Statistical Challenges in Big Data'' Human Neuroimaging

Stephen M. Smith et al.

NEURON (2018)

Article Multidisciplinary Sciences

Task-induced brain state manipulation improves prediction of individual traits

Abigail S. Greene et al.

NATURE COMMUNICATIONS (2018)

Review Psychology, Developmental

The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites

B. J. Casey et al.

DEVELOPMENTAL COGNITIVE NEUROSCIENCE (2018)

Article Neurosciences

Best practices in data analysis and sharing in neuroimaging using MRI

Thomas E. Nichols et al.

NATURE NEUROSCIENCE (2017)

Article Neurosciences

Scanning the horizon: towards transparent and reproducible neuroimaging research

Russell A. Poldrack et al.

NATURE REVIEWS NEUROSCIENCE (2017)

Article Neurosciences

Harmonization of multi-site diffusion tensor imaging data

Jean-Philippe Fortin et al.

NEUROIMAGE (2017)

Article Neurosciences

OpenfMRI: Open sharing of task fMRI data

Russell A. Poldrack et al.

NEUROIMAGE (2017)

Article Multidisciplinary Sciences

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Oscar Esteban et al.

PLOS ONE (2017)

Article Neurosciences

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

Karla L. Miller et al.

NATURE NEUROSCIENCE (2016)

Article Neurosciences

A Hitchhiker's Guide to Functional Magnetic Resonance Imaging

José M. Soares et al.

Frontiers in Neuroscience (2016)

Article Multidisciplinary Sciences

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Krzysztof J. Gorgolewski et al.

SCIENTIFIC DATA (2016)

Article Medicine, General & Internal

Collaboration and Team Science

L. Michelle Bennett et al.

JOURNAL OF INVESTIGATIVE MEDICINE (2016)

Article Neurosciences

Multi-level block permutation

Anderson M. Winkler et al.

NEUROIMAGE (2015)

Article Neuroimaging

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Paul M. Thompson et al.

BRAIN IMAGING AND BEHAVIOR (2014)

Review Neurosciences

Neuroimaging of the Philadelphia Neurodevelopmental Cohort

Theodore D. Satterthwaite et al.

NEUROIMAGE (2014)

Review Multidisciplinary Sciences

Challenges of Big Data analysis

Jianqing Fan et al.

NATIONAL SCIENCE REVIEW (2014)

Article Neurosciences

The WU-Minn Human Connectome Project: An overview

David C. Van Essen et al.

NEUROIMAGE (2013)

Article Mathematical & Computational Biology

Toward open sharing of task-based fMRI data: the OpenfMRI project

Russell A. Poldrack et al.

FRONTIERS IN NEUROINFORMATICS (2013)

Review Anesthesiology

The prevention and handling of the missing data

Hyun Kang

KOREAN JOURNAL OF ANESTHESIOLOGY (2013)

Review Neurosciences

FSL

Mark Jenkinson et al.

NEUROIMAGE (2012)