Attentional load modulates large-scale functional brain connectivity beyond the core attention networks

[1]  Jakob Heinzle,et al.  Visuomotor Functional Network Topology Predicts Upcoming Tasks , 2012, The Journal of Neuroscience.

[2]  M. Goodale,et al.  Separate visual pathways for perception and action , 1992, Trends in Neurosciences.

[3]  D. Hu,et al.  Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. , 2012, Brain : a journal of neurology.

[4]  M. P. van den Heuvel,et al.  Exploring the brain network: a review on resting-state fMRI functional connectivity. , 2010, European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology.

[5]  B. Wandell,et al.  Visual Field Maps in Human Cortex , 2007, Neuron.

[6]  N. Filippini,et al.  Group comparison of resting-state FMRI data using multi-subject ICA and dual regression , 2009, NeuroImage.

[7]  M. Raichle Two views of brain function , 2010, Trends in Cognitive Sciences.

[8]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[9]  Richard M. Simon,et al.  A Paradigm for Class Prediction Using Gene Expression Profiles , 2003, J. Comput. Biol..

[10]  Ludovica Griffanti,et al.  Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers , 2014, NeuroImage.

[11]  A. Mizuno,et al.  A change of the leading player in flow Visualization technique , 2006, J. Vis..

[12]  T. Paus,et al.  Functional coactivation map of the human brain. , 2008, Cerebral cortex.

[13]  N. Filippini,et al.  Distinct patterns of brain activity in young carriers of the APOE e4 allele , 2009, NeuroImage.

[14]  David J. Madden,et al.  Brain Connectivity and Visual Attention , 2013, Brain Connect..

[15]  Stefan Haufe,et al.  On the interpretation of weight vectors of linear models in multivariate neuroimaging , 2014, NeuroImage.

[16]  Stephen M. Smith,et al.  SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.

[17]  Adam Gazzaley,et al.  Differential coupling of visual cortex with default network or frontal-parietal network based on goals , 2011, Nature Neuroscience.

[18]  G. Rees,et al.  Neuroimaging: Decoding mental states from brain activity in humans , 2006, Nature Reviews Neuroscience.

[19]  Benjamin J. Tamber-Rosenau,et al.  Decoding cognitive control in human parietal cortex , 2009, Proceedings of the National Academy of Sciences.

[20]  Manfred G Kitzbichler,et al.  Cognitive Effort Drives Workspace Configuration of Human Brain Functional Networks , 2011, The Journal of Neuroscience.

[21]  XP Hu,et al.  Disease State Prediction from Resting State FMRI , 2009, NeuroImage.

[22]  Stephen M. Smith,et al.  Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

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

[24]  Cheryl L. Grady,et al.  Task-Related Effects on the Temporal and Spatial Dynamics of Resting-State Functional Connectivity in the Default Network , 2010, PloS one.

[25]  Mark W. Woolrich,et al.  Resting-state fMRI in the Human Connectome Project , 2013, NeuroImage.

[26]  R Cameron Craddock,et al.  Disease state prediction from resting state functional connectivity , 2009, Magnetic resonance in medicine.

[27]  Ameera X. Patel,et al.  Long-Term Effects of Attentional Performance on Functional Brain Network Topology , 2013, PloS one.

[28]  J. Friedman Regularized Discriminant Analysis , 1989 .

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

[30]  M. Greicius,et al.  Decoding subject-driven cognitive states with whole-brain connectivity patterns. , 2012, Cerebral cortex.

[31]  Michael Esterman,et al.  Decoding Task-based Attentional Modulation during Face Categorization , 2011, Journal of Cognitive Neuroscience.

[32]  A. Ishai,et al.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.

[33]  Dewen Hu,et al.  Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI , 2010, NeuroImage.

[34]  Dimitri Van De Ville,et al.  Decoding brain states from fMRI connectivity graphs , 2011, NeuroImage.

[35]  Stephen M. Smith,et al.  Temporally-independent functional modes of spontaneous brain activity , 2012, Proceedings of the National Academy of Sciences.

[36]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[37]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[38]  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.

[39]  S M Smith,et al.  Overview of fMRI analysis. , 2004, The British journal of radiology.

[40]  Yufeng Wang,et al.  Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder , 2008, NeuroImage.

[41]  Lee M. Miller,et al.  Measuring temporal dynamics of functional networks using phase spectrum of fMRI data , 2005, NeuroImage.

[42]  K. Strimmer,et al.  Statistical Applications in Genetics and Molecular Biology A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics , 2011 .

[43]  G. Rees,et al.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex , 2005, Nature Neuroscience.

[44]  P. Cavanagh,et al.  Independent Resources for Attentional Tracking in the Left and Right Visual Hemifields , 2005, Psychological science.

[45]  John J. Sidtis,et al.  Performance-based connectivity analysis: A path to convergence with clinical studies , 2012, NeuroImage.

[46]  Z W Pylyshyn,et al.  Tracking multiple independent targets: evidence for a parallel tracking mechanism. , 1988, Spatial vision.

[47]  F. Tong,et al.  Decoding reveals the contents of visual working memory in early visual areas , 2009, Nature.

[48]  O. Tervonen,et al.  Functional segmentation of the brain cortex using high model order group-PICA. , 2009, NeuroImage.

[49]  P. Matthews,et al.  Distinct patterns of brain activity in young carriers of the APOE e4 allele , 2009, NeuroImage.

[50]  Thomas E. Nichols,et al.  Functional connectomics from resting-state fMRI , 2013, Trends in Cognitive Sciences.

[51]  M. Corbetta,et al.  The Reorienting System of the Human Brain: From Environment to Theory of Mind , 2008, Neuron.

[52]  N. Volkow,et al.  Functional connectivity and brain activation: a synergistic approach. , 2014, Cerebral cortex.

[53]  Mark W. Woolrich,et al.  Utility of Partial Correlation for Characterising Brain Dynamics: MVPA-based Assessment of Regularisation and Network Selection , 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

[54]  J. Wolfe,et al.  Using Fmri to Distinguish Components of the Multiple Object Tracking Task , 1994 .

[55]  Aapo Hyvärinen,et al.  Independent component analysis of nondeterministic fMRI signal sources , 2003, NeuroImage.

[56]  P. Cavanagh,et al.  Tracking multiple targets with multifocal attention , 2005, Trends in Cognitive Sciences.

[57]  K A Martin,et al.  A brief history of the "feature detector". , 1994, Cerebral cortex.

[58]  C. Koch,et al.  Brain Areas Specific for Attentional Load in a Motion-Tracking Task , 2001, Journal of Cognitive Neuroscience.

[59]  Steen Moeller,et al.  ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging , 2014, NeuroImage.

[60]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.