review article | Q7318358 |
scholarly article | Q13442814 |
P50 | author | Tal Yarkoni | Q23992215 |
P2093 | author name string | Rick O Gilmore | |
Michele T Diaz | |||
Brad A Wyble | |||
P2860 | cites work | Why most published research findings are false | Q21092395 |
Toward open sharing of task-based fMRI data: the OpenfMRI project | Q21129373 | ||
Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition | Q22065644 | ||
What we can do and what we cannot do with fMRI | Q22122223 | ||
Consistency and variability in functional localisers | Q23891111 | ||
Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses | Q48303386 | ||
Assessment of neurological and behavioural function: the NIH Toolbox | Q48321456 | ||
Functional MRI statistical software packages: a comparative analysis. | Q48424901 | ||
Opinion: Databasing fMRI studies towards a 'discovery science' of brain function. | Q48625139 | ||
Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul et al. (2009). | Q48639814 | ||
A parametric study of prefrontal cortex involvement in human working memory. | Q48808924 | ||
P-curve: a key to the file-drawer. | Q51186445 | ||
Erroneous analyses of interactions in neuroscience: a problem of significance. | Q51535972 | ||
Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. | Q51878068 | ||
A three-year longitudinal functional magnetic resonance imaging study of performance monitoring and test-retest reliability from childhood to early adulthood. | Q51886462 | ||
Neural correlates of interspecies perspective taking in the post-mortem Atlantic Salmon: an argument for multiple comparisons correction | Q55893858 | ||
Multisite fMRI reproducibility of a motor task using identical MR systems | Q60641831 | ||
The ups and downs of neuroscience shares | Q80193229 | ||
Correspondence of the brain's functional architecture during activation and rest | Q23891366 | ||
Natural speech reveals the semantic maps that tile human cerebral cortex | Q24265390 | ||
Scientific Utopia: I. Opening Scientific Communication | Q24273234 | ||
Scientific Utopia: II. Restructuring Incentives and Practices to Promote Truth Over Publishability | Q24273236 | ||
On the plurality of (methodological) worlds: estimating the analytic flexibility of FMRI experiments | Q24273352 | ||
A Bayesian Perspective on the Reproducibility Project: Psychology | Q24288635 | ||
Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results | Q24288714 | ||
Everything you never wanted to know about circular analysis, but were afraid to ask | Q24289346 | ||
Building a Science of Individual Differences from fMRI. | Q24289395 | ||
Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention | Q24289398 | ||
The cognitive atlas: toward a knowledge foundation for cognitive neuroscience | Q24345990 | ||
Toward discovery science of human brain function | Q24619932 | ||
Identifying natural images from human brain activity | Q24630468 | ||
Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years | Q25472697 | ||
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain | Q25473166 | ||
From big data to deep insight in developmental science | Q27007800 | ||
Making big data open: data sharing in neuroimaging | Q27008352 | ||
Sharing heterogeneous data: the national database for autism research | Q27010334 | ||
Functional connectivity in BOLD and CBF data: similarity and reliability of resting brain networks | Q27307085 | ||
Reproducible Research in Computational Science | Q27921795 | ||
A multi-modal parcellation of human cerebral cortex | Q28005507 | ||
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates | Q28005523 | ||
Reconstructing visual experiences from brain activity evoked by natural movies | Q28310218 | ||
A manifesto for reproducible science | Q28341964 | ||
The prevalence of statistical reporting errors in psychology (1985-2013) | Q28596108 | ||
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments | Q28598083 | ||
SCIENTIFIC STANDARDS. Promoting an open research culture | Q28608410 | ||
An open science resource for establishing reliability and reproducibility in functional connectomics | Q28647964 | ||
Making data sharing work: the FCP/INDI experience | Q28657479 | ||
Why share data? Lessons learned from the fMRIDC | Q28662167 | ||
Failed replications, contributing factors and careful interpretations: Commentary on Boekel et al., 2015. | Q36023581 | ||
Implementation errors in the GingerALE Software: Description and recommendations | Q36100827 | ||
Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature | Q36295168 | ||
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. | Q36302542 | ||
Linear mixed-effects modeling approach to FMRI group analysis. | Q36802572 | ||
Test-retest and between-site reliability in a multicenter fMRI study | Q36894937 | ||
Comparison of fMRI statistical software packages and strategies for analysis of images containing random and stimulus-correlated motion | Q36943150 | ||
The minimal preprocessing pipelines for the Human Connectome Project | Q37038976 | ||
Unique and persistent individual patterns of brain activity across different memory retrieval tasks | Q37391164 | ||
Cognitive neuroscience 2.0: building a cumulative science of human brain function | Q37795345 | ||
RRIDs: A Simple Step toward Improving Reproducibility through Rigor and Transparency of Experimental Methods | Q38392866 | ||
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning | Q38637339 | ||
Searchlight analysis: promise, pitfalls, and potential | Q38786283 | ||
What does research reproducibility mean? | Q38851031 | ||
ERPLAB: an open-source toolbox for the analysis of event-related potentials | Q38883925 | ||
Reproducibility of fMRI results across four institutions using a spatial working memory task | Q39171893 | ||
What Should Researchers Expect When They Replicate Studies? A Statistical View of Replicability in Psychological Science | Q39543765 | ||
A purely confirmatory replication study of structural brain-behavior correlations. | Q41432355 | ||
The principled control of false positives in neuroimaging | Q41888607 | ||
Cluster-extent based thresholding in fMRI analyses: pitfalls and recommendations | Q42968492 | ||
Functional brain hubs and their test-retest reliability: a multiband resting-state functional MRI study. | Q43551864 | ||
Longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging | Q44339740 | ||
Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects | Q44459495 | ||
This is your brain online: the Functional Connectomes Project | Q48244774 | ||
The WU-Minn Human Connectome Project: an overview | Q28673229 | ||
The cognitive paradigm ontology: design and application | Q28681437 | ||
Toward open behavioral science | Q28727913 | ||
Data sharing in neuroimaging research | Q28730743 | ||
The Functional Magnetic Resonance Imaging Data Center (fMRIDC): the challenges and rewards of large-scale databasing of neuroimaging studies | Q28769795 | ||
Large-scale automated synthesis of human functional neuroimaging data | Q28916750 | ||
Estimating the reproducibility of psychological science | Q28922478 | ||
Ten simple rules for reproducible computational research | Q28974699 | ||
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) | Q29011672 | ||
Meta-analysis of functional neuroimaging data: current and future directions | Q29041264 | ||
Comment on "Estimating the reproducibility of psychological science" | Q29420742 | ||
Power failure: why small sample size undermines the reliability of neuroscience | Q29547474 | ||
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis | Q29547481 | ||
Circular analysis in systems neuroscience: the dangers of double dipping | Q29614738 | ||
A core system for the implementation of task sets | Q29616368 | ||
Can cognitive processes be inferred from neuroimaging data? | Q29616369 | ||
Scanning the horizon: towards transparent and reproducible neuroimaging research. | Q30239829 | ||
Long-term neural and physiological phenotyping of a single human | Q30395296 | ||
The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework | Q30680999 | ||
Fixing the stimulus-as-fixed-effect fallacy in task fMRI. | Q30849648 | ||
The publication and reproducibility challenges of shared data | Q30881529 | ||
Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis | Q30971785 | ||
Report on a multicenter fMRI quality assurance protocol | Q31038812 | ||
Test-retest reliability of the default mode network in a multi-centric fMRI study of healthy elderly: Effects of data-driven physiological noise correction techniques | Q31060498 | ||
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines | Q31149852 | ||
The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour | Q33532915 | ||
How reliable are the results from functional magnetic resonance imaging? | Q33555670 | ||
Advances and pitfalls in the analysis and interpretation of resting-state FMRI data | Q33560743 | ||
Multisite reliability of cognitive BOLD data | Q33713523 | ||
The secret lives of experiments: methods reporting in the fMRI literature | Q34337694 | ||
Is the Replicability Crisis Overblown? Three Arguments Examined | Q34484632 | ||
Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing | Q34484785 | ||
Potential reporting bias in fMRI studies of the brain | Q34921995 | ||
Reproducibility of neuroimaging analyses across operating systems | Q35535300 | ||
P4510 | describes a project that uses | Jupyter notebook file | Q70357595 |
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | data sharing | Q5227350 |
cognitive neuroscience | Q1138951 | ||
reproducibility | Q1425625 | ||
P304 | page(s) | 5-18 | |
P577 | publication date | 2017-05-02 | |
P1433 | published in | Annals of the New York Academy of Sciences | Q2431664 |
P1476 | title | Progress toward openness, transparency, and reproducibility in cognitive neuroscience | |
P478 | volume | 1396 |
Q38616812 | Advances in Studying Brain Morphology: The Benefits of Open-Access Data |
Q52606555 | Analytical Transparency and Reproducibility in Human Neuroimaging Studies. |
Q90873686 | Direct replication of task-dependent neural activation patterns during sadness introspection in two independent adolescent samples |
Q60938777 | National Neuroinformatics Framework for Canadian Consortium on Neurodegeneration in Aging (CCNA) |
Q96302316 | NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines |
Q64882036 | Practical Solutions for Sharing Data and Materials From Psychological Research |
Q57166783 | Questionable research practices in student final theses - Prevalence, attitudes, and the role of the supervisor's perceived attitudes |
Q47200848 | Rigor and Reproducibility in Rodent Behavioral Research. |
Q64956959 | Why Study the History of Neuroscience? |
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