Nonstationarity in the ‘resting brain's’ modular architecture

[1]  James B. Brewer,et al.  Stability of resting fMRI interregional correlations analyzed in subject-native space: A one-year longitudinal study in healthy adults and premanifest Huntington's disease , 2012, NeuroImage.

[2]  David T. Jones,et al.  Resting state functional MRI in Alzheimer's Disease , 2012, Alzheimer's Research & Therapy.

[3]  Jessica A. Turner,et al.  Behavioral Interpretations of Intrinsic Connectivity Networks , 2011, Journal of Cognitive Neuroscience.

[4]  David T. Jones,et al.  Age-related changes in the default mode network are more advanced in Alzheimer disease , 2011, Neurology.

[5]  Yong He,et al.  Spatial patterns of intrinsic brain activity in mild cognitive impairment and alzheimer's disease: A resting‐state functional MRI study , 2011, Human brain mapping.

[6]  Xi-Nian Zuo,et al.  REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.

[7]  W. Seeley,et al.  Divergent network connectivity changes in healthy APOE ε4 carriers: disinhibition or compensation? , 2011, Archives of neurology.

[8]  Prashanthi Vemuri,et al.  Effect of APOE ε4 status on intrinsic network connectivity in cognitively normal elderly subjects. , 2011, Archives of neurology.

[9]  Yong He,et al.  Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data , 2011, PloS one.

[10]  Olaf Sporns,et al.  Weight-conserving characterization of complex functional brain networks , 2011, NeuroImage.

[11]  D. Yurgelun-Todd,et al.  Reproducibility of Single-Subject Functional Connectivity Measurements , 2011, American Journal of Neuroradiology.

[12]  Sachin Dixit,et al.  APOE4 Allele Disrupts Resting State fMRI Connectivity in the Absence of Amyloid Plaques or Decreased CSF Aβ42 , 2010, The Journal of Neuroscience.

[13]  Scott T. Grafton,et al.  Dynamic reconfiguration of human brain networks during learning , 2010, Proceedings of the National Academy of Sciences.

[14]  Juliane Britz,et al.  EEG microstate sequences in healthy humans at rest reveal scale-free dynamics , 2010, Proceedings of the National Academy of Sciences.

[15]  Dimitri Van De Ville,et al.  BOLD correlates of EEG topography reveal rapid resting-state network dynamics , 2010, NeuroImage.

[16]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[17]  Yufeng Zang,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .

[18]  M. Corbetta,et al.  Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.

[19]  D. Head,et al.  Amyloid Plaques Disrupt Resting State Default Mode Network Connectivity in Cognitively Normal Elderly , 2010, Biological Psychiatry.

[20]  Christian Windischberger,et al.  Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.

[21]  Catie Chang,et al.  Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.

[22]  Zhijun Zhang,et al.  Abnormal resting-state functional connectivity of posterior cingulate cortex in amnestic type mild cognitive impairment , 2009, Brain Research.

[23]  Simon B Eickhoff,et al.  Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling , 2009, The Journal of Neuroscience.

[24]  Keith A. Johnson,et al.  Disruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden , 2009, The Journal of Neuroscience.

[25]  Rupert Lanzenberger,et al.  Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies , 2009, NeuroImage.

[26]  Stephen M Smith,et al.  Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.

[27]  Edward T. Bullmore,et al.  Neuroinformatics Original Research Article , 2022 .

[28]  Alan C. Evans,et al.  Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.

[29]  M. Fox,et al.  The global signal and observed anticorrelated resting state brain networks. , 2009, Journal of neurophysiology.

[30]  Anthony D. Cate,et al.  Auditory Attention Activates Peripheral Visual Cortex , 2009, PloS one.

[31]  Edward T. Bullmore,et al.  Age-related changes in modular organization of human brain functional networks , 2009, NeuroImage.

[32]  Cornelis J. Stam,et al.  Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain , 2008, NeuroImage.

[33]  V. Pankratz,et al.  The Mayo Clinic Study of Aging: Design and Sampling, Participation, Baseline Measures and Sample Characteristics , 2008, Neuroepidemiology.

[34]  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.

[35]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[36]  G. Glover,et al.  Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.

[37]  E. Bullmore,et al.  Adaptive reconfiguration of fractal small-world human brain functional networks , 2006, Proceedings of the National Academy of Sciences.

[38]  E. Bullmore,et al.  Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.

[39]  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.

[40]  R. Marois,et al.  Capacity limits of information processing in the brain , 2005, Trends in Cognitive Sciences.

[41]  Mohamed-Jalal Fadili,et al.  Fractional Gaussian noise, functional MRI and Alzheimer's disease , 2005, NeuroImage.

[42]  Aapo Hyvärinen,et al.  Validating the independent components of neuroimaging time series via clustering and visualization , 2004, NeuroImage.

[43]  C. J. Stam,et al.  Functional connectivity patterns of human magnetoencephalographic recordings: a ‘small-world’ network? , 2004, Neuroscience Letters.

[44]  Gaohong Wu,et al.  Alzheimer Disease: evaluation of a functional MR imaging index as a marker. , 2002, Radiology.

[45]  J. Pekar,et al.  A method for making group inferences from functional MRI data using independent component analysis , 2001, Human brain mapping.

[46]  Karl J. Friston,et al.  Variability in fMRI: An Examination of Intersession Differences , 2000, NeuroImage.

[47]  P. Gloor.  Berger lecture. Is Berger's dream coming true? , 1994, Electroencephalography and clinical neurophysiology.