Shared and connection-specific intrinsic interactions in the default mode network
暂无分享,去创建一个
Dante Mantini | Nicole Wenderoth | Jessica Samogin | Quanying Liu | Marco Marino | N. Wenderoth | D. Mantini | M. Marino | Quanying Liu | Jessica Samogin
[1] Franca Tecchio,et al. Neuronal dynamics enable the functional differentiation of resting state networks in the human brain , 2018, Human brain mapping.
[2] Gerald S. Russell,et al. Geodesic photogrammetry for localizing sensor positions in dense-array EEG , 2005, Clinical Neurophysiology.
[3] Linda Douw,et al. Dynamic connectivity modulates local activity in the core regions of the default-mode network , 2017, Proceedings of the National Academy of Sciences.
[4] Dante Mantini,et al. Emerging Roles of the Brain’s Default Network , 2013, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[5] Robert Oostenveld,et al. A comparative study of different references for EEG spectral mapping: the issue of the neutral reference and the use of the infinity reference , 2005, Physiological measurement.
[6] N. Wenderoth,et al. Detecting large‐scale networks in the human brain using high‐density electroencephalography , 2017, Human brain mapping.
[7] Q. Lu,et al. A supplementary functional connectivity microstate attached to the default mode network in depression revealed by resting-state magnetoencephalography , 2018, Progress in Neuro-Psychopharmacology and Biological Psychiatry.
[8] Thomas Bourgeron,et al. A synaptic trek to autism , 2009, Current Opinion in Neurobiology.
[9] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[10] J. Haueisen,et al. Influence of tissue resistivities on neuromagnetic fields and electric potentials studied with a finite element model of the head , 1997, IEEE Transactions on Biomedical Engineering.
[11] Gian Luca Romani,et al. Improving MEG source localizations: An automated method for complete artifact removal based on independent component analysis , 2008, NeuroImage.
[12] W. Pirie. Spearman Rank Correlation Coefficient , 2006 .
[13] M. Corbetta,et al. Temporal dynamics of spontaneous MEG activity in brain networks , 2010, Proceedings of the National Academy of Sciences.
[14] Darren Price,et al. Investigating the electrophysiological basis of resting state networks using magnetoencephalography , 2011, Proceedings of the National Academy of Sciences.
[15] Carl D. Hacker,et al. Frequency-specific electrophysiologic correlates of resting state fMRI networks , 2017, NeuroImage.
[16] D. Yao,et al. A method to standardize a reference of scalp EEG recordings to a point at infinity , 2001, Physiological measurement.
[17] D. Mantini,et al. Functional connectivity and oscillatory neuronal activity in the resting human brain , 2013, Neuroscience.
[18] Dimitri M. Kullmann,et al. Oscillations and Filtering Networks Support Flexible Routing of Information , 2010, Neuron.
[19] F. H. Lopes da Silva. EEG and MEG: relevance to neuroscience. , 2013, Neuron.
[20] Joerg F. Hipp,et al. Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG , 2016, NeuroImage.
[21] F. D. Silva,et al. EEG and MEG: Relevance to Neuroscience , 2013, Neuron.
[22] O. Sporns,et al. Key role of coupling, delay, and noise in resting brain fluctuations , 2009, Proceedings of the National Academy of Sciences.
[23] H. Laufs,et al. Decoding Wakefulness Levels from Typical fMRI Resting-State Data Reveals Reliable Drifts between Wakefulness and Sleep , 2014, Neuron.
[24] Tongsheng Zhang,et al. Facilitating Neuronal Connectivity Analysis of Evoked Responses by Exposing Local Activity with Principal Component Analysis Preprocessing: Simulation of Evoked MEG , 2013, Brain Topography.
[25] Nancy Kopell,et al. Alpha-Frequency Rhythms Desynchronize over Long Cortical Distances: A Modeling Study , 2000, Journal of Computational Neuroscience.
[26] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[27] G. Buzsáki,et al. Mechanisms of gamma oscillations. , 2012, Annual review of neuroscience.
[28] Arne D. Ekstrom,et al. Frequency–specific network connectivity increases underlie accurate spatiotemporal memory retrieval , 2013, Nature Neuroscience.
[29] Marco Ganzetti,et al. Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization , 2018, Front. Neuroinform..
[30] Peter Fransson,et al. The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis , 2008, NeuroImage.
[31] Vince D. Calhoun,et al. Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients , 2010, NeuroImage.
[32] W. Hackbusch,et al. Efficient Computation of Lead Field Bases and Influence Matrix for the FEM-based EEG and MEG Inverse Problem. Part I: Complexity Considerations , 2003 .
[33] Iiro P. Jääskeläinen,et al. Combined MEG and EEG show reliable patterns of electromagnetic brain activity during natural viewing , 2015, NeuroImage.
[34] R. Buckner,et al. Functional-Anatomic Fractionation of the Brain's Default Network , 2010, Neuron.
[35] M. Corbetta,et al. A Cortical Core for Dynamic Integration of Functional Networks in the Resting Human Brain , 2012, Neuron.
[36] Dimitri M. Kullmann,et al. Oscillatory multiplexing of population codes for selective communication in the mammalian brain , 2014, Nature Reviews Neuroscience.
[37] W. Singer,et al. Abnormal neural oscillations and synchrony in schizophrenia , 2010, Nature Reviews Neuroscience.
[38] Dante Mantini,et al. Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model , 2015, Journal of neural engineering.
[39] J. Pillai. Functional Connectivity. , 2017, Neuroimaging clinics of North America.
[40] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[41] Maria Gavrilescu,et al. Functional connectivity estimation in fMRI data: Influence of preprocessing and time course selection , 2008, Human brain mapping.
[42] B. Biswal,et al. Functional connectivity of default mode network components: Correlation, anticorrelation, and causality , 2009, Human brain mapping.
[43] Andreas Daffertshofer,et al. A combined diffusion‐weighted and electroencephalography study on age‐related differences in connectivity in the motor network during bimanual performance , 2018, Human brain mapping.
[44] M. Berger,et al. High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex , 2006, Science.
[45] Jingyuan E. Chen,et al. Dissociated patterns of anti‐correlations with dorsal and ventral default‐mode networks at rest , 2017, Human brain mapping.
[46] M. Corbetta,et al. Inter-species activity correlations reveal functional correspondences between monkey and human brain areas , 2012, Nature Methods.
[47] G. Ermentrout,et al. Gamma rhythms and beta rhythms have different synchronization properties. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[48] C. Stam,et al. Direction of information flow in large-scale resting-state networks is frequency-dependent , 2016, Proceedings of the National Academy of Sciences.
[49] V. Calhoun,et al. Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasks , 2015, Human brain mapping.
[50] Lei Ding,et al. Reconstructing Large-Scale Brain Resting-State Networks from High-Resolution EEG: Spatial and Temporal Comparisons with fMRI , 2016, Brain Connect..
[51] Rolando J. Biscay-Lirio,et al. Assessing interactions in the brain with exact low-resolution electromagnetic tomography , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[52] Rodrigo M. Braga,et al. Echoes of the Brain within the Posterior Cingulate Cortex , 2012, The Journal of Neuroscience.
[53] R. Buckner,et al. Self-projection and the brain , 2007, Trends in Cognitive Sciences.
[54] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[55] M. Corbetta,et al. Large-scale cortical correlation structure of spontaneous oscillatory activity , 2012, Nature Neuroscience.
[56] M. Corbetta,et al. Electrophysiological signatures of resting state networks in the human brain , 2007, Proceedings of the National Academy of Sciences.
[57] W. Singer,et al. Neural Synchrony in Brain Disorders: Relevance for Cognitive Dysfunctions and Pathophysiology , 2006, Neuron.
[58] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.