Topological organization of the human brain functional connectome across the lifespan

[1]  P. Bandettini,et al.  Connectivity trajectory across lifespan differentiates the precuneus from the default network , 2014, NeuroImage.

[2]  Kimberly L. Ray,et al.  Networks of task co-activations , 2013, NeuroImage.

[3]  Martijn P. van den Heuvel,et al.  The parcellation-based connectome: Limitations and extensions , 2013, NeuroImage.

[4]  K. Hwang,et al.  The development of hub architecture in the human functional brain network. , 2013, Cerebral cortex.

[5]  O. Sporns,et al.  An Anatomical Substrate for Integration among Functional Networks in Human Cortex , 2013, The Journal of Neuroscience.

[6]  Jonathan D. Power,et al.  Evidence for Hubs in Human Functional Brain Networks , 2013, Neuron.

[7]  R. Cameron Craddock,et al.  A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics , 2013, NeuroImage.

[8]  Khader M. Hasan,et al.  Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: A machine learning approach , 2013, NeuroImage.

[9]  Yong He,et al.  BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.

[10]  Jonathan D. Power,et al.  Functional network architecture of reading-related regions across development , 2013, Brain and Language.

[11]  O. Sporns,et al.  Structural and Functional Aspects Relating to Cost and Benefit of Rich Club Organization in the Human Cerebral Cortex , 2013, Cerebral cortex.

[12]  Alan C. Evans,et al.  Topological Organization of Functional Brain Networks in Healthy Children: Differences in Relation to Age, Sex, and Intelligence , 2013, PloS one.

[13]  Yufeng Zang,et al.  Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space , 2013, NeuroImage.

[14]  Yong He,et al.  Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain , 2013, Proceedings of the National Academy of Sciences.

[15]  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.

[16]  Margaret D. King,et al.  The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry , 2012, Front. Neurosci..

[17]  L. Jäncke,et al.  Brain structural trajectories over the adult lifespan , 2012, Human brain mapping.

[18]  D. Hu,et al.  Decoding Lifespan Changes of the Human Brain Using Resting-State Functional Connectivity MRI , 2012, PloS one.

[19]  O. Sporns,et al.  Network centrality in the human functional connectome. , 2012, Cerebral cortex.

[20]  Richard J. Davidson,et al.  Evidence for coordinated functional activity within the extended amygdala of non-human and human primates , 2012, NeuroImage.

[21]  O. Sporns,et al.  High-cost, high-capacity backbone for global brain communication , 2012, Proceedings of the National Academy of Sciences.

[22]  O. Sporns,et al.  The economy of brain network organization , 2012, Nature Reviews Neuroscience.

[23]  Nick S. Ward,et al.  Age-related changes in the topological architecture of the brain during hand grip , 2012, Neurobiology of Aging.

[24]  B. Biswal,et al.  Characterizing variation in the functional connectome: promise and pitfalls , 2012, Trends in Cognitive Sciences.

[25]  C. Lebel,et al.  Diffusion tensor imaging of white matter tract evolution over the lifespan , 2012, NeuroImage.

[26]  Mark A. Elliott,et al.  Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth , 2012, NeuroImage.

[27]  Jonathan D. Power,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[28]  Mert R. Sabuncu,et al.  The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.

[29]  Kaustubh Supekar,et al.  Dynamic Reconfiguration of Structural and Functional Connectivity Across Core Neurocognitive Brain Networks with Development , 2011, The Journal of Neuroscience.

[30]  O. Sporns,et al.  Rich-Club Organization of the Human Connectome , 2011, The Journal of Neuroscience.

[31]  Yong He,et al.  Aging-related changes in the default mode network and its anti-correlated networks: A resting-state fMRI study , 2011, Neuroscience Letters.

[32]  Nora D. Volkow,et al.  Functional connectivity hubs in the human brain , 2011, NeuroImage.

[33]  N. Volkow,et al.  Aging and Functional Brain Networks , 2011, Molecular Psychiatry.

[34]  Mark W. Woolrich,et al.  Network modelling methods for FMRI , 2011, NeuroImage.

[35]  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.

[36]  Nikola T. Markov,et al.  Weight Consistency Specifies Regularities of Macaque Cortical Networks , 2010, Cerebral cortex.

[37]  Andreas Daffertshofer,et al.  Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory , 2010, PloS one.

[38]  Edward T. Bullmore,et al.  Modular and Hierarchically Modular Organization of Brain Networks , 2010, Front. Neurosci..

[39]  Jonathan D. Power,et al.  Prediction of Individual Brain Maturity Using fMRI , 2010, Science.

[40]  J. Rapoport,et al.  Structural MRI of Pediatric Brain Development: What Have We Learned and Where Are We Going? , 2010, Neuron.

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

[42]  C J Stam,et al.  Characterization of anatomical and functional connectivity in the brain: a complex networks perspective. , 2010, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[43]  B. Luna,et al.  White matter development in adolescence: a DTI study. , 2010, Cerebral cortex.

[44]  A. Dale,et al.  Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. , 2010, Cerebral cortex.

[45]  Michael D. Greicius,et al.  Development of functional and structural connectivity within the default mode network in young children , 2010, NeuroImage.

[46]  Yong He,et al.  Graph theoretical modeling of brain connectivity. , 2010, Current opinion in neurology.

[47]  K. Walhovd,et al.  Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences , 2010, Reviews in the neurosciences.

[48]  Edward T. Bullmore,et al.  Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.

[49]  Paul J. Laurienti,et al.  Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data , 2010, NeuroImage.

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

[51]  Walter Schneider,et al.  Identifying the brain's most globally connected regions , 2010, NeuroImage.

[52]  B. Luna,et al.  What has fMRI told us about the Development of Cognitive Control through Adolescence? , 2010, Brain and Cognition.

[53]  Alan C. Evans,et al.  Age- and Gender-Related Differences in the Cortical Anatomical Network , 2009, The Journal of Neuroscience.

[54]  K. Worsley,et al.  Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load. , 2009, Brain : a journal of neurology.

[55]  E. Bullmore,et al.  Human brain networks in health and disease , 2009, Current opinion in neurology.

[56]  C. T. Butts,et al.  Revisiting the Foundations of Network Analysis , 2009, Science.

[57]  Kaustubh Supekar,et al.  Development of Large-Scale Functional Brain Networks in Children , 2009, NeuroImage.

[58]  R. Kahn,et al.  Efficiency of Functional Brain Networks and Intellectual Performance , 2009, The Journal of Neuroscience.

[59]  Paul R. Eggert,et al.  Efficient, Distributed and Interactive Neuroimaging Data Analysis Using the LONI Pipeline , 2009, Front. Neuroinform..

[60]  Liang Wang,et al.  Parcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study , 2009, Human brain mapping.

[61]  Jonathan D. Power,et al.  Functional Brain Networks Develop from a “Local to Distributed” Organization , 2009, PLoS Comput. Biol..

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

[63]  D. Margulies,et al.  Development of anterior cingulate functional connectivity from late childhood to early adulthood. , 2009, Cerebral cortex.

[64]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[65]  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.

[66]  Kevin Murphy,et al.  The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.

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

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

[69]  S. Rombouts,et al.  Reduced resting-state brain activity in the "default network" in normal aging. , 2008, Cerebral cortex.

[70]  Gary H. Glover,et al.  Default-mode function and task-induced deactivation have overlapping brain substrates in children , 2008, NeuroImage.

[71]  Alan C. Evans,et al.  Neurodevelopmental Trajectories of the Human Cerebral Cortex , 2008, The Journal of Neuroscience.

[72]  S. Petersen,et al.  The maturing architecture of the brain's default network , 2008, Proceedings of the National Academy of Sciences.

[73]  Justin L. Vincent,et al.  Disruption of Large-Scale Brain Systems in Advanced Aging , 2007, Neuron.

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

[75]  S. Petersen,et al.  Development of distinct control networks through segregation and integration , 2007, Proceedings of the National Academy of Sciences.

[76]  Edward T. Bullmore,et al.  Efficiency and Cost of Economical Brain Functional Networks , 2007, PLoS Comput. Biol..

[77]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[78]  Anthony Randal McIntosh,et al.  Age-related Changes in Brain Activity across the Adult Lifespan , 2006, Journal of Cognitive Neuroscience.

[79]  Olaf Sporns,et al.  The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..

[80]  A. Dale,et al.  Age-related alterations in white matter microstructure measured by diffusion tensor imaging , 2005, Neurobiology of Aging.

[81]  A. Dale,et al.  Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.

[82]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[83]  K. Sneppen,et al.  Specificity and Stability in Topology of Protein Networks , 2002, Science.

[84]  V. Latora,et al.  Economic small-world behavior in weighted networks , 2002, cond-mat/0204089.

[85]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[86]  Robert J Barry,et al.  Age and sex effects in the EEG: development of the normal child , 2001, Clinical Neurophysiology.

[87]  V. Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[88]  B. J. Casey,et al.  Structural and functional brain development and its relation to cognitive development , 2000, Biological Psychology.

[89]  J. Polich,et al.  EEG and ERP assessment of normal aging. , 1997, Electroencephalography and clinical neurophysiology.

[90]  Karl J. Friston,et al.  Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.

[91]  A. Alavi,et al.  Quantitative analysis of PET and MRI data in normal aging and Alzheimer's disease: atrophy weighted total brain metabolism and absolute whole brain metabolism as reliable discriminators. , 1993, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[92]  Clifford M. Hurvich,et al.  Regression and time series model selection in small samples , 1989 .

[93]  J. Mazziotta,et al.  Positron emission tomography study of human brain functional development , 1987, Annals of neurology.

[94]  H. Akaike.  A new look at the statistical model identification , 1974 .

[95]  J. Rapoport,et al.  The anatomical distance of functional connections predicts brain network topology in health and schizophrenia. , 2013, Cerebral cortex.

[96]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity , 2011 .

[97]  A. Alavi,et al.  Analysis of brain and cerebrospinal fluid volumes with MR imaging: impact on PET data correction for atrophy. Part II. Aging and Alzheimer dementia. , 1991, Radiology.

[98]  P. Huttenlocher,et al.  Synaptic development in human cerebral cortex. , 1982, International journal of neurology.

[99]  Henning Vauth,et al.  See Blockindiscussions, Blockinstats, Blockinand Blockinauthor Blockinprofiles Blockinfor Blockinthis Blockinpublication , 2022 .