Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes
暂无分享,去创建一个
Bin Lu | Chao-Gan Yan | Xiao Chen | Chaogan Yan | Xiao Chen | Bin Lu
[1] Daniel S. Margulies,et al. NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain , 2014, bioRxiv.
[2] Thomas E. Nichols,et al. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate , 2002, NeuroImage.
[3] Stine Bjerkestrand,et al. Open science. , 2019, Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke.
[4] Beatriz Luna,et al. The nuisance of nuisance regression: Spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity , 2013, NeuroImage.
[5] J. Ioannidis. Why Most Published Research Findings Are False , 2005 .
[6] Brian Knutson,et al. Spatial smoothing systematically biases the localization of reward-related brain activity , 2013, NeuroImage.
[7] Thomas E. Nichols,et al. Scanning the horizon: towards transparent and reproducible neuroimaging research , 2016, Nature Reviews Neuroscience.
[8] Hongli Wu,et al. Gender Differences in Cerebral Regional Homogeneity of Adult Healthy Volunteers: A Resting-State fMRI Study , 2015, BioMed research international.
[9] S. Rombouts,et al. Within-subject reproducibility of visual activation patterns with functional magnetic resonance imaging using multislice echo planar imaging. , 1998, Magnetic resonance imaging.
[10] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[11] Steven C. R. Williams,et al. Measuring fMRI reliability with the intra-class correlation coefficient , 2009, NeuroImage.
[12] John Ashburner,et al. A fast diffeomorphic image registration algorithm , 2007, NeuroImage.
[13] Bharat B. Biswal,et al. The oscillating brain: Complex and reliable , 2010, NeuroImage.
[14] Brian A. Nosek,et al. Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.
[15] Simon B. Eickhoff,et al. An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data , 2013, NeuroImage.
[16] Bing Chen,et al. An open science resource for establishing reliability and reproducibility in functional connectomics , 2014, Scientific Data.
[17] Joseph T. Devlin,et al. Consistency and variability in functional localisers , 2009, NeuroImage.
[18] Yufeng Zang,et al. DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging , 2016, Neuroinformatics.
[19] M. Buonocore,et al. Remembering familiar people: the posterior cingulate cortex and autobiographical memory retrieval , 2001, Neuroscience.
[20] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[21] Joshua Carp,et al. The secret lives of experiments: Methods reporting in the fMRI literature , 2012, NeuroImage.
[22] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[23] Dustin Scheinost,et al. Sex differences in normal age trajectories of functional brain networks , 2015, Human brain mapping.
[24] Karl J. Friston,et al. Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.
[25] Chaogan Yan,et al. DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..
[26] J. Fleiss,et al. Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.
[27] J. Ioannidis. Why Most Published Research Findings Are False , 2005, PLoS medicine.
[28] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[29] Yufeng Zang,et al. Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes , 2013, NeuroImage.
[30] Martin Wiesmann,et al. Eyes open and eyes closed as rest conditions: impact on brain activation patterns , 2004, NeuroImage.
[31] Massimo Filippi,et al. The organization of intrinsic brain activity differs between genders: A resting‐state fMRI study in a large cohort of young healthy subjects , 2013, Human brain mapping.
[32] Mathijs Raemaekers,et al. Task and task‐free FMRI reproducibility comparison for motor network identification , 2014, Human brain mapping.
[33] Jennifer Urbano Blackford,et al. Leveraging Statistical Methods to Improve Validity and Reproducibility of Research Findings , 2017, JAMA psychiatry.
[34] X. Zuo,et al. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: A systems neuroscience perspective , 2014, Neuroscience & Biobehavioral Reviews.
[35] Christian Windischberger,et al. Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.
[36] Christian Enzinger,et al. Reproducibility of Resting State Connectivity in Patients with Stable Multiple Sclerosis , 2016, PloS one.
[37] R. Cameron Craddock,et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics , 2013, NeuroImage.
[38] Y. Zang,et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI , 2007, Brain and Development.
[39] Yufeng Zang,et al. Spontaneous Brain Activity in the Default Mode Network Is Sensitive to Different Resting-State Conditions with Limited Cognitive Load , 2009, PloS one.
[40] Yong He,et al. Functional connectivity between the thalamus and visual cortex under eyes closed and eyes open conditions: A resting‐state fMRI study , 2009, Human brain mapping.
[41] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[42] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[43] Keith A. Johnson,et al. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.
[44] Dardo Tomasi,et al. Gender differences in brain functional connectivity density , 2012, Human brain mapping.
[45] O. Dietrich,et al. Test–retest reproducibility of the default‐mode network in healthy individuals , 2009, Human brain mapping.
[46] P. Roland,et al. Estimation of the Probabilities of 3D Clusters in Functional Brain Images , 1998, NeuroImage.
[47] D. Altman,et al. Statistics Notes: Diagnostic tests 1: sensitivity and specificity , 1994 .
[48] A. Beltz,et al. Sex differences in resting state brain function of cigarette smokers and links to nicotine dependence. , 2015, Experimental and clinical psychopharmacology.
[49] Rex E. Jung,et al. A Baseline for the Multivariate Comparison of Resting-State Networks , 2011, Front. Syst. Neurosci..
[50] Chaozhe Zhu,et al. Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI , 2007, NeuroImage.
[51] O. Sporns,et al. Network centrality in the human functional connectome. , 2012, Cerebral cortex.
[52] Karsten Specht,et al. Resting States Are Resting Traits – An fMRI Study of Sex Differences and Menstrual Cycle Effects in Resting State Cognitive Control Networks , 2014, PloS one.
[53] Peter Fransson,et al. The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis , 2008, NeuroImage.
[54] Kevin Murphy,et al. Towards a consensus regarding global signal regression for resting state functional connectivity MRI , 2017, NeuroImage.
[55] Joshua Carp,et al. On the Plurality of (Methodological) Worlds: Estimating the Analytic Flexibility of fMRI Experiments , 2012, Front. Neurosci..
[56] D. Sharp,et al. The role of the posterior cingulate cortex in cognition and disease. , 2014, Brain : a journal of neurology.
[57] Q. Gong,et al. Altered functional connectivity in default mode network in absence epilepsy: A resting‐state fMRI study , 2011, Human brain mapping.
[58] Yufeng Zang,et al. Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods , 2013, Neuroinformatics.
[59] Jennifer S. Labus,et al. Sex commonalities and differences in the relationship between resilient personality and the intrinsic connectivity of the salience and default mode networks , 2015, Biological Psychology.
[60] Thomas E. Nichols,et al. Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.
[61] Michael C. Frank,et al. Estimating the reproducibility of psychological science , 2015, Science.
[62] Hans Knutsson,et al. Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2016, Proceedings of the National Academy of Sciences.
[63] Stephen M. Smith,et al. Faster permutation inference in brain imaging , 2016, NeuroImage.
[64] Yingli Lu,et al. Regional homogeneity approach to fMRI data analysis , 2004, NeuroImage.
[65] Chaozhe Zhu,et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF , 2008, Journal of Neuroscience Methods.
[66] Paul A. Taylor,et al. FMRI Clustering in AFNI: False-Positive Rates Redux , 2017, Brain Connect..
[67] Yong He,et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.
[68] Yufeng Zang,et al. Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space , 2013, NeuroImage.
[69] Jared A. Nielsen,et al. Decreased interhemispheric functional connectivity in autism. , 2011, Cerebral cortex.
[70] B. Biswal,et al. The resting brain: unconstrained yet reliable. , 2009, Cerebral cortex.
[71] F. Prinz,et al. Believe it or not: how much can we rely on published data on potential drug targets? , 2011, Nature Reviews Drug Discovery.
[72] R. Bluhm,et al. Default mode network connectivity: effects of age, sex, and analytic approach , 2008, Neuroreport.
[73] Alan C. Evans,et al. Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy , 2010, The Journal of Neuroscience.
[74] Karl J. Friston,et al. Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.
[75] Oliver Grimm,et al. Test–retest reliability of fMRI-based graph theoretical properties during working memory, emotion processing, and resting state , 2014, NeuroImage.