Edge-centric functional network representations of human cerebral cortex reveal overlapping system-level architecture
暂无分享,去创建一个
Olaf Sporns | Richard F. Betzel | Joshua Faskowitz | Farnaz Zamani Esfahlani | Youngheun Jo | O. Sporns | R. Betzel | Joshua Faskowitz | Y. Jo | Youngheun Jo
[1] Mark W. Woolrich,et al. Network modelling methods for FMRI , 2011, NeuroImage.
[2] Karl J. Friston,et al. Structural and Functional Brain Networks: From Connections to Cognition , 2013, Science.
[3] Martin Rosvall,et al. Maps of random walks on complex networks reveal community structure , 2007, Proceedings of the National Academy of Sciences.
[4] Olaf Sporns,et al. Generative models of the human connectome , 2015, NeuroImage.
[5] Wenbin Li,et al. Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI , 2017, Front. Neuroinform..
[6] Tsuyoshi Murata,et al. {m , 1934, ACML.
[7] Jonathan D. Power,et al. Multi-task connectivity reveals flexible hubs for adaptive task control , 2013, Nature Neuroscience.
[8] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[9] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[10] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[11] Tamás Vicsek,et al. Controlling edge dynamics in complex networks , 2011, Nature Physics.
[12] O. Sporns,et al. Rich-Club Organization of the Human Connectome , 2011, The Journal of Neuroscience.
[13] O. Sporns,et al. The economy of brain network organization , 2012, Nature Reviews Neuroscience.
[14] Evan M. Gordon,et al. Precision Functional Mapping of Individual Human Brains , 2017, Neuron.
[15] R. Guimerà,et al. Functional cartography of complex metabolic networks , 2005, Nature.
[16] A. Dale,et al. Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images , 2016, PloS one.
[17] Sune Lehmann,et al. Link communities reveal multiscale complexity in networks , 2009, Nature.
[18] O. Sporns,et al. Network hubs in the human brain , 2013, Trends in Cognitive Sciences.
[19] M. Frank,et al. Computational psychiatry as a bridge from neuroscience to clinical applications , 2016, Nature Neuroscience.
[20] Hung-Cuong Trinh,et al. Edge-based sensitivity analysis of signaling networks by using Boolean dynamics , 2016, Bioinform..
[21] Evan M. Gordon,et al. Functional System and Areal Organization of a Highly Sampled Individual Human Brain , 2015, Neuron.
[22] Simon B. Eickhoff,et al. An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data , 2013, NeuroImage.
[23] Maxwell A. Bertolero,et al. The diverse club , 2017, Nature Communications.
[24] Mark Jenkinson,et al. MSM: A new flexible framework for Multimodal Surface Matching , 2014, NeuroImage.
[25] R. Lambiotte,et al. Line graphs, link partitions, and overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[26] Marcel A de Reus,et al. An edge-centric perspective on the human connectome: link communities in the brain , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[27] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[28] Jörn Diedrichsen,et al. Functional boundaries in the human cerebellum revealed by a multi-domain task battery , 2019, Nature Neuroscience.
[29] E. G. Jones. Cerebral Cortex , 1987, Cerebral Cortex.
[30] Edward T. Bullmore,et al. Micro-connectomics: probing the organization of neuronal networks at the cellular scale , 2017, Nature Reviews Neuroscience.
[31] L. Pessoa. Understanding brain networks and brain organization. , 2014, Physics of life reviews.
[32] S. Petersen,et al. Brain Networks and Cognitive Architectures , 2015, Neuron.
[33] Jonathan D. Power,et al. Evidence for Hubs in Human Functional Brain Networks , 2013, Neuron.
[34] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[35] Satrajit S. Ghosh,et al. The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions , 2016, bioRxiv.
[36] Richard F. Betzel,et al. Resting-brain functional connectivity predicted by analytic measures of network communication , 2013, Proceedings of the National Academy of Sciences.
[37] Jukka-Pekka Onnela,et al. Community Structure in Time-Dependent, Multiscale, and Multiplex Networks , 2009, Science.
[38] Danielle S. Bassett,et al. Brain Network Adaptability across Task States , 2014, PLoS Comput. Biol..
[39] Brian B. Avants,et al. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..
[40] Krzysztof J. Gorgolewski,et al. MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites , 2016, bioRxiv.
[41] Richard F. Betzel,et al. Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity , 2013, Network Science.
[42] O. Sporns,et al. Organization, development and function of complex brain networks , 2004, Trends in Cognitive Sciences.
[43] Michael Eickenberg,et al. Machine learning for neuroimaging with scikit-learn , 2014, Front. Neuroinform..
[44] Evan M. Gordon,et al. Three Distinct Sets of Connector Hubs Integrate Human Brain Function. , 2018, Cell reports.
[45] Russell A. Poldrack,et al. Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives , 2015, NeuroImage.
[46] Danielle S Bassett,et al. Cross-linked structure of network evolution. , 2013, Chaos.
[47] Danielle S Bassett,et al. Diversity of meso-scale architecture in human and non-human connectomes , 2017, Nature Communications.
[48] Haim Sompolinsky,et al. Brain-wide Organization of Neuronal Activity and Convergent Sensorimotor Transformations in Larval Zebrafish , 2018, Neuron.
[49] Michael L. Anderson,et al. Describing functional diversity of brain regions and brain networks , 2013, NeuroImage.
[50] Satrajit S. Ghosh,et al. Mindboggling morphometry of human brains , 2016, bioRxiv.
[51] J. Herskowitz,et al. Proceedings of the National Academy of Sciences, USA , 1996, Current Biology.
[52] Stephen M. Smith,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[53] Brian Litt,et al. Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy , 2014, PLoS Comput. Biol..
[54] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[56] Kenneth A. Norman,et al. Representation of Real-World Event Schemas during Narrative Perception , 2018, The Journal of Neuroscience.
[57] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[58] F. McCoy,et al. Janus-faced PIDD: a sensor for DNA damage-induced cell death or survival? , 2012, Molecular cell.
[59] Jonathan Z. Simon,et al. Overlapping communities reveal rich structure in large-scale brain networks during rest and task conditions , 2016, NeuroImage.
[60] Nikos Makris,et al. Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.
[61] Tom M. Mitchell,et al. Machine learning classifiers and fMRI: A tutorial overview , 2009, NeuroImage.
[62] B. T. Thomas Yeo,et al. Interpreting temporal fluctuations in resting-state functional connectivity MRI , 2017, NeuroImage.
[63] Hansjörg Scherberger,et al. Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates , 2016, eLife.
[64] Danielle S. Bassett,et al. Multi-scale brain networks , 2016, NeuroImage.
[65] Brian S Caffo,et al. Modular preprocessing pipelines can reintroduce artifacts into fMRI data , 2018, bioRxiv.
[66] Brian B. Avants,et al. N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.
[67] Mason A. Porter,et al. Task-Based Core-Periphery Organization of Human Brain Dynamics , 2012, PLoS Comput. Biol..
[68] Luke J. Chang,et al. Building better biomarkers: brain models in translational neuroimaging , 2017, Nature Neuroscience.
[69] Oluwasanmi Koyejo,et al. Human cognition involves the dynamic integration of neural activity and neuromodulatory systems , 2019, Nature Neuroscience.
[70] Mark Jenkinson,et al. The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.
[71] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[72] M. Chun,et al. Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.
[73] Habib Benali,et al. Identification of large-scale networks in the brain using fMRI , 2006, NeuroImage.
[74] Richard F. Betzel,et al. Modular Brain Networks. , 2016, Annual review of psychology.
[75] Olaf Sporns,et al. Communication dynamics in complex brain networks , 2017, Nature Reviews Neuroscience.
[76] Hiroshi Fukuda,et al. The Overlapping Community Structure of Structural Brain Network in Young Healthy Individuals , 2011, PloS one.
[77] Meytal Wilf,et al. Spontaneously Emerging Patterns in Human Visual Cortex Reflect Responses to Naturalistic Sensory Stimuli , 2015, Cerebral cortex.
[78] Elizabeth Jefferies,et al. Situating the default-mode network along a principal gradient of macroscale cortical organization , 2016, Proceedings of the National Academy of Sciences.
[79] B T Thomas Yeo,et al. The modular and integrative functional architecture of the human brain , 2015, Proceedings of the National Academy of Sciences.
[80] Satrajit S. Ghosh,et al. FMRIPrep: a robust preprocessing pipeline for functional MRI , 2018, bioRxiv.
[81] Rafael Malach,et al. Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation. , 2007, Cerebral cortex.
[82] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[83] Cedric E. Ginestet,et al. Cognitive relevance of the community structure of the human brain functional coactivation network , 2013, Proceedings of the National Academy of Sciences.
[84] Janice Chen,et al. Dynamic reconfiguration of the default mode network during narrative comprehension , 2016, Nature Communications.
[85] Ben D. Fulcher,et al. An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI , 2017, NeuroImage.
[86] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[87] B. T. Thomas Yeo,et al. Estimates of segregation and overlap of functional connectivity networks in the human cerebral cortex , 2014, NeuroImage.
[88] Scott T. Grafton,et al. Dynamic reconfiguration of human brain networks during learning , 2010, Proceedings of the National Academy of Sciences.
[89] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[90] B. T. Thomas Yeo,et al. Topographic organization of the cerebral cortex and brain cartography , 2017, NeuroImage.
[91] S. Bressler,et al. Large-scale brain networks in cognition: emerging methods and principles , 2010, Trends in Cognitive Sciences.
[92] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[93] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[94] R. Kerr,et al. Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning , 2014, Science.
[95] Olaf Sporns,et al. The small world of the cerebral cortex , 2007, Neuroinformatics.
[96] Danna Zhou,et al. d. , 1934, Microbial pathogenesis.
[97] Michael W. Cole,et al. Task activations produce spurious but systematic inflation of task functional connectivity estimates , 2018, NeuroImage.
[98] C. Almli,et al. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood , 2009, NeuroImage.