ICA model order selection of task co-activation networks
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Angela R. Laird | Stephen M. Smith | Peter T. Fox | Michael C. Riedel | Christian F. Beckmann | Kimberly L. Ray | Peter M. Fox | D. Reese McKay | Angela M. Uecker | V. Calhoun | P. Fox | A. Laird | C. Beckmann | V. Kiviniemi | P. Fox | Angela Uecker | Stephen M. Smith | D. R. McKay | M. Riedel | Peter M Fox | Peter T Fox | Peter T. Fox | P. M. Fox
[1] Tülay Adali,et al. Estimating the number of independent components for functional magnetic resonance imaging data , 2007, Human brain mapping.
[2] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[3] Alan C. Evans,et al. Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.
[4] R. Sokal,et al. THE COMPARISON OF DENDROGRAMS BY OBJECTIVE METHODS , 1962 .
[5] Timothy Edward John Behrens,et al. Anatomical and Functional Connectivity of Cytoarchitectonic Areas within the Human Parietal Operculum , 2010, The Journal of Neuroscience.
[6] V. Calhoun,et al. Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks , 2008, Human brain mapping.
[7] O. Tervonen,et al. The effect of model order selection in group PICA , 2010, Human brain mapping.
[8] Jessica A. Turner,et al. ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas , 2009, Front. Neuroinform..
[9] Wei Liao,et al. Topological Fractionation of Resting-State Networks , 2011, PloS one.
[10] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[11] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[12] Katja Kollewe,et al. Changes of resting state brain networks in amyotrophic lateral sclerosis , 2009, Experimental Neurology.
[13] Jessica A. Turner,et al. Behavioral Interpretations of Intrinsic Connectivity Networks , 2011, Journal of Cognitive Neuroscience.
[14] B. Biswal,et al. Blind source separation of multiple signal sources of fMRI data sets using independent component analysis. , 1999, Journal of computer assisted tomography.
[15] Vince D. Calhoun,et al. A method for functional network connectivity among spatially independent resting-state components in schizophrenia , 2008, NeuroImage.
[16] E. Oja,et al. Independent Component Analysis , 2013 .
[17] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[18] Angela R. Laird,et al. Automated regional behavioral analysis for human brain images , 2012, Front. Neuroinform..
[19] K. Zilles,et al. An investigation of the structural, connectional, and functional subspecialization in the human amygdala , 2012, Human brain mapping.
[20] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[21] P. Fox,et al. Metaanalytic connectivity modeling: Delineating the functional connectivity of the human amygdala , 2009, Human brain mapping.
[22] T. Paus,et al. Functional coactivation map of the human brain. , 2008, Cerebral cortex.
[23] V. Calhoun,et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.
[24] Eswar Damaraju,et al. Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.
[25] Stephen M. Smith,et al. Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.
[26] Paul M. Thompson,et al. An Optimized Individual Target Brain in the Talairach Coordinate System , 2002, NeuroImage.
[27] Vince D. Calhoun,et al. Decomposing the brain: components and modes, networks and nodes , 2012, Trends in Cognitive Sciences.
[28] Angela R. Laird,et al. Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation , 2011, NeuroImage.
[29] Russell A. Poldrack,et al. Large-scale automated synthesis of human functional neuroimaging data , 2011, Nature Methods.
[30] Vince D. Calhoun,et al. The spatiospectral characterization of brain networks: Fusing concurrent EEG spectra and fMRI maps , 2013, NeuroImage.
[31] Susan Spear Bassett,et al. Analysis of Group ICA-Based Connectivity Measures from fMRI: Application to Alzheimer's Disease , 2012, PloS one.
[32] Russell A. Poldrack,et al. Discovering Relations Between Mind, Brain, and Mental Disorders Using Topic Mapping , 2012, PLoS Comput. Biol..
[33] Kimberly L. Ray,et al. Meta-analytic connectivity modeling reveals differential functional connectivity of the medial and lateral orbitofrontal cortex. , 2014, Cerebral cortex.
[34] Li Yao,et al. Impairment and compensation coexist in amnestic MCI default mode network , 2010, NeuroImage.
[35] Danilo Bzdok,et al. The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data , 2011, BMC Research Notes.
[36] M. Greicius,et al. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.
[37] G. Glover,et al. Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus , 2007, Biological Psychiatry.
[38] W. Liao,et al. Impaired attention network in temporal lobe epilepsy: A resting FMRI study , 2009, Neuroscience Letters.
[39] David T. Jones,et al. Non-Stationarity in the “Resting Brain’s” Modular Architecture , 2012, PloS one.
[40] Christian Windischberger,et al. Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.
[41] Lars T. Westlye,et al. Network-specific effects of age and in-scanner subject motion: A resting-state fMRI study of 238 healthy adults , 2012, NeuroImage.
[42] O. Tervonen,et al. Neuroglial Plasticity at Striatal Glutamatergic Synapses in Parkinson's Disease , 2011, Front. Syst. Neurosci..
[43] W. K. Simmons,et al. Circular analysis in systems neuroscience: the dangers of double dipping , 2009, Nature Neuroscience.
[44] V. Calhoun,et al. Multisubject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery , 2012, IEEE Reviews in Biomedical Engineering.
[45] Li Yao,et al. Improved application of independent component analysis to functional magnetic resonance imaging study via linear projection techniques , 2009, Human brain mapping.
[46] Edward T. Bullmore,et al. Neuroinformatics Original Research Article , 2022 .
[47] Mark W. Woolrich,et al. Bayesian analysis of neuroimaging data in FSL , 2009, NeuroImage.
[48] C. Schönfeldt-Lecuona,et al. Aberrant connectivity of lateral prefrontal networks in presymptomatic Huntington's disease , 2008, Experimental Neurology.
[49] Aapo Hyvärinen,et al. Validating the independent components of neuroimaging time series via clustering and visualization , 2004, NeuroImage.
[50] Rex E. Jung,et al. A Baseline for the Multivariate Comparison of Resting-State Networks , 2011, Front. Syst. Neurosci..
[51] Angela R. Laird,et al. Is There “One” DLPFC in Cognitive Action Control? Evidence for Heterogeneity From Co-Activation-Based Parcellation , 2012, Cerebral cortex.
[52] Jessica A. Turner,et al. The Cognitive Paradigm Ontology: Design and Application , 2011, Neuroinformatics.
[53] K. Zilles,et al. Coordinate‐based activation likelihood estimation meta‐analysis of neuroimaging data: A random‐effects approach based on empirical estimates of spatial uncertainty , 2009, Human brain mapping.
[54] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[55] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[56] Christian F. Beckmann,et al. Modelling with independent components , 2012, NeuroImage.
[57] Angela R Laird,et al. Brainmap taxonomy of experimental design: Description and evaluation , 2005, Human brain mapping.
[58] Daniel K Sodickson,et al. Default-mode network disruption in mild traumatic brain injury. , 2012, Radiology.
[59] Seungjin Choi,et al. Independent Component Analysis , 2009, Handbook of Natural Computing.
[60] T. Sejnowski,et al. Independent component analysis of fMRI data: Examining the assumptions , 1998, Human brain mapping.
[61] Kwangsun Yoo,et al. Independent Component Analysis of Localized Resting-State Functional Magnetic Resonance Imaging Reveals Specific Motor Subnetworks , 2012, Brain Connect..
[62] Michael D Greicius,et al. Divergent Social Functioning in Behavioral Variant Frontotemporal Dementia and Alzheimer Disease: Reciprocal Networks and Neuronal Evolution , 2007, Alzheimer disease and associated disorders.
[63] Xiangyu Long,et al. Functional segmentation of the brain cortex using high model order group PICA , 2009, Human brain mapping.
[64] P. Fox,et al. Mapping context and content: the BrainMap model , 2002, Nature Reviews Neuroscience.