Decoding subject-driven cognitive states with whole-brain connectivity patterns.
暂无分享,去创建一个
[1] Dimitri Van De Ville,et al. Decoding brain states from fMRI connectivity graphs , 2011, NeuroImage.
[2] Michael Esterman,et al. Decoding Task-based Attentional Modulation during Face Categorization , 2011, Journal of Cognitive Neuroscience.
[3] Edward T. Bullmore,et al. Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.
[4] D. Hassabis,et al. Decoding Individual Episodic Memory Traces in the Human Hippocampus , 2010, Current Biology.
[5] Catie Chang,et al. Time–frequency dynamics of resting-state brain connectivity measured with fMRI , 2010, NeuroImage.
[6] Xiangyu Long,et al. Functional segmentation of the brain cortex using high model order group PICA , 2009, Human brain mapping.
[7] Benjamin J. Tamber-Rosenau,et al. Decoding cognitive control in human parietal cortex , 2009, Proceedings of the National Academy of Sciences.
[8] Catie Chang,et al. Effects of model-based physiological noise correction on default mode network anti-correlations and correlations , 2009, NeuroImage.
[9] Dirk B. Walther,et al. Natural Scene Categories Revealed in Distributed Patterns of Activity in the Human Brain , 2009, The Journal of Neuroscience.
[10] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[11] O Sporns,et al. Predicting human resting-state functional connectivity from structural connectivity , 2009, Proceedings of the National Academy of Sciences.
[12] M. Greicius,et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. , 2009, Cerebral cortex.
[13] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[14] Daniel L. Rubin,et al. Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease , 2008, PLoS Comput. Biol..
[15] Damien A. Fair,et al. Defining functional areas in individual human brains using resting functional connectivity MRI , 2008, NeuroImage.
[16] J. Gallant,et al. Identifying natural images from human brain activity , 2008, Nature.
[17] B. Harrison,et al. Modulation of Brain Resting-State Networks by Sad Mood Induction , 2008, PloS one.
[18] G. Glover,et al. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.
[19] P. Fransson. How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations , 2006, Neuropsychologia.
[20] P. Skudlarski,et al. Brain Connectivity Related to Working Memory Performance , 2006, The Journal of Neuroscience.
[21] Timothy Edward John Behrens,et al. Connection patterns distinguish 3 regions of human parietal cortex. , 2006, Cerebral cortex.
[22] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[23] Matthew H. Davis,et al. Detecting Awareness in the Vegetative State , 2006, Science.
[24] G. Rees,et al. Neuroimaging: Decoding mental states from brain activity in humans , 2006, Nature Reviews Neuroscience.
[25] Habib Benali,et al. Identification of large-scale networks in the brain using fMRI , 2006, NeuroImage.
[26] Vaidehi S. Natu,et al. Category-Specific Cortical Activity Precedes Retrieval During Memory Search , 2005, Science.
[27] Janaina Mourão Miranda,et al. Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data , 2005, NeuroImage.
[28] Dinggang Shen,et al. Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection , 2005, NeuroImage.
[29] G. Rees,et al. Predicting the Stream of Consciousness from Activity in Human Visual Cortex , 2005, Current Biology.
[30] 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.
[31] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[32] G. Rees,et al. Predicting the orientation of invisible stimuli from activity in human primary visual cortex , 2005, Nature Neuroscience.
[33] F. Tong,et al. Decoding the visual and subjective contents of the human brain , 2005, Nature Neuroscience.
[34] M. Greicius,et al. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.
[35] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[36] Aapo Hyvärinen,et al. Independent component analysis of nondeterministic fMRI signal sources , 2003, NeuroImage.
[37] Tom M. Mitchell,et al. Classifying Instantaneous Cognitive States from fMRI Data , 2003, AMIA.
[38] 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.
[39] G. Glover,et al. Regularized higher‐order in vivo shimming , 2002, Magnetic resonance in medicine.
[40] P. Skudlarski,et al. Detection of functional connectivity using temporal correlations in MR images , 2002, Human brain mapping.
[41] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[42] A. Ishai,et al. Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.
[43] G. Glover,et al. Spiral‐in/out BOLD fMRI for increased SNR and reduced susceptibility artifacts , 2001, Magnetic resonance in medicine.
[44] V. Haughton,et al. Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. , 2001, AJNR. American journal of neuroradiology.
[45] A. Kleinschmidt,et al. Dissociating neural correlates of cognitive components in mental calculation. , 2001, Cerebral cortex.
[46] B. Mazoyer,et al. Neural Correlates of Simple and Complex Mental Calculation , 2001, NeuroImage.
[47] N. Kanwisher,et al. Mental Imagery of Faces and Places Activates Corresponding Stimulus-Specific Brain Regions , 2000, Journal of Cognitive Neuroscience.
[48] Anthony Randal McIntosh,et al. Towards a network theory of cognition , 2000, Neural Networks.
[49] G. Glover,et al. Dissociating Prefrontal and Parietal Cortex Activation during Arithmetic Processing , 2000, NeuroImage.
[50] E. Spelke,et al. Sources of mathematical thinking: behavioral and brain-imaging evidence. , 1999, Science.
[51] G. Glover,et al. Self‐navigated spiral fMRI: Interleaved versus single‐shot , 1998, Magnetic resonance in medicine.
[52] Karl J. Friston. Imaging neuroscience: principles or maps? , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[53] Jean-Baptiste Poline,et al. Inferring behavior from functional brain images , 1998, Nature Neuroscience.
[54] Karl J. Friston,et al. Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging , 1997, NeuroImage.
[55] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[56] Karl J. Friston,et al. Spatial registration and normalization of images , 1995 .
[57] D. Spalding. The Principles of Psychology , 1873, Nature.