Resting-state fMRI correlations: From link-wise unreliability to whole brain stability
暂无分享,去创建一个
Mario Pannunzi | Gustavo Deco | Rikkert Hindriks | Maxi Becker | Simone Kühn | Johan Mårtensson | Elisabeth Wenger | Elisa Filevich | Nina Lisofsky | Oisin Butler | Ruggero G. Bettinardi | Martyna Lochstet | G. Deco | S. Kühn | E. Filevich | N. Lisofsky | M. Becker | O. Butler | M. Lochstet | J. Mårtensson | E. Wenger | R. Hindriks | M. Pannunzi | R. G. Bettinardi | Oisin Butler | Maxi Becker | Elisabeth Wenger | Nina Lisofsky | Martyna Lochstet
[1] S. Kühn,et al. Day2day: investigating daily variability of magnetic resonance imaging measures over half a year , 2017, BMC Neuroscience.
[2] Evan M. Gordon,et al. On the Stability of BOLD fMRI Correlations , 2016, Cerebral cortex.
[3] L. Shah,et al. Reliability and reproducibility of individual differences in functional connectivity acquired during task and resting state , 2016, Brain and behavior.
[4] Gustavo Deco,et al. Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? , 2016, NeuroImage.
[5] Danny J. J. Wang,et al. Reliability comparison of spontaneous brain activities between BOLD and CBF contrasts in eyes-open and eyes-closed resting states , 2015, NeuroImage.
[6] M. Chun,et al. Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.
[7] S. Kühn,et al. What goes on in the resting-state? A qualitative glimpse into resting-state experience in the scanner , 2015, Front. Psychol..
[8] Evan M. Gordon,et al. Functional System and Areal Organization of a Highly Sampled Individual Human Brain , 2015, Neuron.
[9] M. Raichle,et al. Lag threads organize the brain’s intrinsic activity , 2015, Proceedings of the National Academy of Sciences.
[10] Martin A. Lindquist,et al. Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach , 2014, NeuroImage.
[11] 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.
[12] H. Laufs,et al. Decoding Wakefulness Levels from Typical fMRI Resting-State Data Reveals Reliable Drifts between Wakefulness and Sleep , 2014, Neuron.
[13] Mary E. Meyerand,et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates , 2013, NeuroImage.
[14] Xenophon Papademetris,et al. Groupwise whole-brain parcellation from resting-state fMRI data for network node identification , 2013, NeuroImage.
[15] Carl D. Hacker,et al. Resting state network estimation in individual subjects , 2013, NeuroImage.
[16] Yufeng Zang,et al. Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes , 2013, NeuroImage.
[17] Benjamin J. Shannon,et al. Morning-evening variation in human brain metabolism and memory circuits. , 2013, Journal of neurophysiology.
[18] M. Fox,et al. Individual Variability in Functional Connectivity Architecture of the Human Brain , 2013, Neuron.
[19] Yufeng Zang,et al. Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space , 2013, NeuroImage.
[20] Andrew R Willan,et al. Bias-corrected estimator for intraclass correlation coefficient in the balanced one-way random effects model , 2012, BMC Medical Research Methodology.
[21] Rasmus M. Birn,et al. The role of physiological noise in resting-state functional connectivity , 2012, NeuroImage.
[22] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[23] N. Logothetis,et al. The Amplitude and Timing of the BOLD Signal Reflects the Relationship between Local Field Potential Power at Different Frequencies , 2012, The Journal of Neuroscience.
[24] C. Rosazza,et al. Resting-state brain networks: literature review and clinical applications , 2011, Neurological Sciences.
[25] Karl J. Friston. Functional and Effective Connectivity: A Review , 2011, Brain Connect..
[26] Dimitri Van De Ville,et al. Decoding brain states from fMRI connectivity graphs , 2011, NeuroImage.
[27] D. Yurgelun-Todd,et al. Reproducibility of Single-Subject Functional Connectivity Measurements , 2011, American Journal of Neuroradiology.
[28] Edward T. Bullmore,et al. SYSTEMS NEUROSCIENCE Original Research Article , 2009 .
[29] Chaogan Yan,et al. DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..
[30] B. Biswal,et al. The resting brain: unconstrained yet reliable. , 2009, Cerebral cortex.
[31] K. Christoff,et al. Experience sampling during fMRI reveals default network and executive system contributions to mind wandering , 2009, Proceedings of the National Academy of Sciences.
[32] Thomas T. Liu,et al. Caffeine reduces resting-state BOLD functional connectivity in the motor cortex , 2009, NeuroImage.
[33] Jean-Marie Bonny,et al. Characterisation of spinal cord in a mouse model of spastic paraplegia related to abnormal axono–myelin interactions by in vivo quantitative MRI , 2009, NeuroImage.
[34] N. Logothetis. What we can do and what we cannot do with fMRI , 2008, Nature.
[35] C. Lance,et al. The Sources of Four Commonly Reported Cutoff Criteria , 2006 .
[36] Yingli Lu,et al. Regional homogeneity approach to fMRI data analysis , 2004, NeuroImage.
[37] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[38] N. Logothetis,et al. Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.
[39] M. Lowe,et al. Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations , 1998, NeuroImage.
[40] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[41] Theiler,et al. Generating surrogate data for time series with several simultaneously measured variables. , 1994, Physical review letters.
[42] P. Clifford,et al. Modifying the t test for assessing the correlation between two spatial processes , 1993 .
[43] D. Tank,et al. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[44] J. Fleiss,et al. Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.
[45] Timothy O. Laumann,et al. Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. , 2016, Cerebral cortex.
[46] Guerra-Carrillo,et al. Resting-State fMRI: A Window into Human Brain Plasticity , 2014 .
[47] Archana Venkataraman,et al. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. , 2010, Journal of neurophysiology.