Local low frequency fMRI synchrony is a proxy for the spatial extent of functional connectivity
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Andrew L. Alexander | Manuel F. Casanova | Bill Taylor | Daniela Dentico | Rasmus M. Birn | Gregory R. Kirk | Thomas Blumensath | Nagesh Adluru | Lauren A. Michael | T. Blumensath | A. Alexander | M. Casanova | R. Birn | N. Adluru | D. Dentico | Bill Taylor | Lauren A. Michael | A. Alexander
[1] Joseph T. Devlin,et al. Consistency and variability in functional localisers , 2009, NeuroImage.
[2] 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.
[3] Michael Breakspear,et al. Graph analysis of the human connectome: Promise, progress, and pitfalls , 2013, NeuroImage.
[4] Christophe Bernard,et al. Brain state-dependent neuronal computation , 2012, Front. Comput. Neurosci..
[5] Karl J. Friston,et al. Local Activity Determines Functional Connectivity in the Resting Human Brain: A Simultaneous FDG-PET/fMRI Study , 2014, The Journal of Neuroscience.
[6] Peter R Murphy,et al. Catecholaminergic Neuromodulation Shapes Intrinsic MRI Functional Connectivity in the Human Brain , 2016, The Journal of Neuroscience.
[7] Stephen M. Smith,et al. Spatially constrained hierarchical parcellation of the brain with resting-state fMRI , 2013, NeuroImage.
[8] M. Brass,et al. Neural activations at the junction of the inferior frontal sulcus and the inferior precentral sulcus: Interindividual variability, reliability, and association with sulcal morphology , 2009, Human brain mapping.
[9] Krzysztof J. Gorgolewski,et al. The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance , 2015, Neuron.
[10] R. Cameron Craddock,et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics , 2013, NeuroImage.
[11] Kathy D. Gerlach,et al. Future planning: default network activity couples with frontoparietal control network and reward-processing regions during process and outcome simulations. , 2014, Social cognitive and affective neuroscience.
[12] Demis Hassabis,et al. Differential engagement of brain regions within a ‘core’ network during scene construction , 2010, Neuropsychologia.
[13] Mark W. Woolrich,et al. Resting-state fMRI in the Human Connectome Project , 2013, NeuroImage.
[14] G. Jackson,et al. Effect of prior cognitive state on resting state networks measured with functional connectivity , 2005, Human brain mapping.
[15] Mark W. Woolrich,et al. Network modelling methods for FMRI , 2011, NeuroImage.
[16] Russell A. Poldrack,et al. In praise of tedious anatomy , 2007, NeuroImage.
[17] S. Rauch,et al. Schizophrenic subjects show aberrant fMRI activation of dorsolateral prefrontal cortex and basal ganglia during working memory performance , 2000, Biological Psychiatry.
[18] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.
[19] M. Greicius,et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. , 2009, Cerebral cortex.
[20] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[21] Rodrigo M. Braga,et al. Echoes of the Brain within Default Mode, Association, and Heteromodal Cortices , 2013, The Journal of Neuroscience.
[22] Vince D. Calhoun,et al. Preserving subject variability in group fMRI analysis: performance evaluation of GICA vs. IVA , 2014, Front. Syst. Neurosci..
[23] E. Marder. Neuromodulation of Neuronal Circuits: Back to the Future , 2012, Neuron.
[24] M. V. D. Heuvel,et al. Exploring the brain network: A review on resting-state fMRI functional connectivity , 2010, European Neuropsychopharmacology.
[25] Daniel R Weinberger,et al. Finding the Elusive Psychiatric "Lesion" With 21st-Century Neuroanatomy: A Note of Caution. , 2015, The American journal of psychiatry.
[26] R. Buckner,et al. Transcranial magnetic stimulation modulates the brain's intrinsic activity in a frequency-dependent manner , 2011, Proceedings of the National Academy of Sciences.
[27] Mary E. Meyerand,et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates , 2013, NeuroImage.
[28] J. Xiong,et al. The power of spectral density analysis for mapping endogenous BOLD signal fluctuations , 2008, Human brain mapping.
[29] 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.
[30] I. Fried,et al. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex , 2008, Nature Neuroscience.
[31] Shella D. Keilholz,et al. Effects of Severing the Corpus Callosum on Electrical and BOLD Functional Connectivity and Spontaneous Dynamic Activity in the Rat Brain , 2013, Brain Connect..
[32] L. Boorman,et al. The resting‐state neurovascular coupling relationship: rapid changes in spontaneous neural activity in the somatosensory cortex are associated with haemodynamic fluctuations that resemble stimulus‐evoked haemodynamics , 2013, The European journal of neuroscience.
[33] W. Wertz,et al. Density estimation for statistics and data analysis - B. W. Silverman. , 1988 .
[34] Vince D Calhoun,et al. Dynamic functional connectivity of neurocognitive networks in children , 2017, Human brain mapping.
[35] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[36] Peter A. Bandettini,et al. Integration of motion correction and physiological noise regression in fMRI , 2008, NeuroImage.
[37] Timothy E. J. Behrens,et al. Human connectomics , 2012, Current Opinion in Neurobiology.
[38] M. Fox,et al. Individual Variability in Functional Connectivity Architecture of the Human Brain , 2013, Neuron.
[39] Justin L. Vincent,et al. Precuneus shares intrinsic functional architecture in humans and monkeys , 2009, Proceedings of the National Academy of Sciences.
[40] G H Glover,et al. Image‐based method for retrospective correction of physiological motion effects in fMRI: RETROICOR , 2000, Magnetic resonance in medicine.
[41] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[42] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[43] Evan M. Gordon,et al. Long-term neural and physiological phenotyping of a single human , 2015, Nature Communications.
[44] Stephen C. Strother,et al. Evaluation of spatio-temporal decomposition techniques for group analysis of fMRI resting state data sets , 2014, NeuroImage.
[45] Mario Quarantelli,et al. Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study , 2015, NeuroImage.
[46] R Cameron Craddock,et al. A whole brain fMRI atlas generated via spatially constrained spectral clustering , 2012, Human brain mapping.
[47] Biyu J. He,et al. Loss of Resting Interhemispheric Functional Connectivity after Complete Section of the Corpus Callosum , 2008, The Journal of Neuroscience.
[48] B. Silverman. Density estimation for statistics and data analysis , 1986 .
[49] Hesheng Liu,et al. State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility , 2016, Neuroscience.
[50] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[51] Xi-Nian Zuo,et al. Short-term test–retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder , 2015, Developmental Cognitive Neuroscience.
[52] D. Chialvo. Emergent complex neural dynamics , 2010, 1010.2530.
[53] Thomas E. Nichols,et al. Functional connectomics from resting-state fMRI , 2013, Trends in Cognitive Sciences.