ArticlePLoS computational biology2017
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07699159 (Cohort Network for Adolescents and Youth With multipLe Mental Health Conditions), which is not on this map. Cited by 191 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Cohort Network for Adolescents and Youth With multipLe Mental Health Conditions (CALM): A Master Observational Trial
Who cites it
191 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and 22q11.2 deletion syndrome: A review of ENIGMA findings.Psychiatry and clinical neurosciences · 2022Pooled it
- ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability.Neuroinformatics · 2022Pooled it
- Frailty and functional brain connectivity (FBC) in older adults with mild cognitive impairment (MCI): baseline results from the SYNERGIC Trial.GeroScience · 2023Trial
- Article
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- Building an open infrastructure for molecular neuroimaging: Standards and tools from the OpenNeuroPET initiative.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Enhancing reproducibility in neuroimaging with containerized archival.Brain imaging and behavior · 2026Article
- Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026Article
- Accelerating Research on Brain Aging: Enabling Brain Imaging Data Sharing in the Open Science Landscape.European journal of neurology · 2026Review
- Dorsomedial prefrontal cortex links abstract planning to motor execution.Communications biology · 2026Article
- Decision processes in 3D structural MRI schizophrenia classification evaluated with saliency maps.Scientific reports · 2026Article
- Replicability of Functional Brain Networks: A Study Through the Lens of Seven Resting-State Networks.Human brain mapping · 2026Article
- Opportunities and pitfalls of data contextualization in neuroimaging.Nature reviews. Neuroscience · 2026Review
- Building an open ecosystem for molecular neuroimaging: standards and tools from the OpenNeuroPET initiative.bioRxiv : the preprint server for biology · 2026Article
- White matter reflects the childhood exposome.bioRxiv : the preprint server for biology · 2026Article
- Highly replicable multisite patterns of adolescent white matter maturation.bioRxiv : the preprint server for biology · 2026Article
- Executive functioning-related neural processes in emerging adults with type 1 diabetes.Brain imaging and behavior · 2026Article
- FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles.Scientific data · 2026Article
- Eye-Tracking-BIDS: the Brain Imaging Data Structure extended to gaze position and pupil data.bioRxiv : the preprint server for biology · 2026Article
131 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors.
Funding
Abstract
The rate of progress in human neurosciences is limited by the inability to easily apply a wide range of analysis methods to the plethora of different datasets acquired in labs around the world. In this work, we introduce a framework for creating, testing, versioning and archiving portable applications for analyzing neuroimaging data organized and described in compliance with the Brain Imaging Data Structure (BIDS). The portability of these applications (BIDS Apps) is achieved by using container technologies that encapsulate all binary and other dependencies in one convenient package. BIDS Apps run on all three major operating systems with no need for complex setup and configuration and thanks to the comprehensiveness of the BIDS standard they require little manual user input. Previous containerized data processing solutions were limited to single user environments and not compatible with most multi-tenant High Performance Computing systems. BIDS Apps overcome this limitation by taking advantage of the Singularity container technology. As a proof of concept, this work is accompanied by 22 ready to use BIDS Apps, packaging a diverse set of commonly used neuroimaging algorithms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.