Continuous reorganization of cortical information flow in multiple sclerosis: A longitudinal fMRI effective connectivity study

[1]  Vinzenz Fleischer,et al.  Graph Theoretical Framework of Brain Networks in Multiple Sclerosis: A Review of Concepts , 2017, Neuroscience.

[2]  K. G. Mideksa,et al.  Cerebello-cortical network fingerprints differ between essential, Parkinson’s and mimicked tremors , 2018, Brain : a journal of neurology.

[3]  J. Lefkowitch,et al.  Anatomy and Function , 2018, Sherlock's Diseases of the Liver and Biliary System.

[4]  Sergiu Groppa,et al.  Dynamics of the human brain network revealed by time-frequency effective connectivity in fNIRS. , 2017, Biomedical optics express.

[5]  E. Dobryakova,et al.  Altered neural mechanisms of cognitive control in patients with primary progressive multiple sclerosis: An effective connectivity study , 2017, Human brain mapping.

[6]  Sergiu Groppa,et al.  Breakdown of Thalamo-Cortical Connectivity Precedes Spike Generation in Focal Epilepsies , 2017, Brain Connect..

[7]  R. Deichmann,et al.  The Relationship between Gray Matter Quantitative MRI and Disability in Secondary Progressive Multiple Sclerosis , 2016, PloS one.

[8]  A. R. Anwar,et al.  Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study , 2016, Brain Topography.

[9]  E. Dobryakova,et al.  Abnormalities of the executive control network in multiple sclerosis phenotypes: An fMRI effective connectivity study , 2016, Human brain mapping.

[10]  Frauke Zipp,et al.  Evidence for early, non-lesional cerebellar damage in patients with multiple sclerosis: DTI measures correlate with disability, atrophy, and disease duration , 2016, Multiple sclerosis.

[11]  Elizabeth E. Hoyt,et al.  A Review of Concepts , 2016 .

[12]  Karl J. Friston,et al.  Physiologically informed dynamic causal modeling of fMRI data , 2015, NeuroImage.

[13]  Gerhard Schmidt,et al.  Testing different ICA algorithms and connectivity analyses on MS patients , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[14]  Till Acker,et al.  A human post-mortem brain model for the standardization of multi-centre MRI studies , 2015, NeuroImage.

[15]  M. Erb,et al.  The impact of isolated lesions on white-matter fiber tracts in multiple sclerosis patients , 2015, NeuroImage: Clinical.

[16]  Enzo Tagliazucchi,et al.  Multimodal Imaging of Dynamic Functional Connectivity , 2015, Front. Neurol..

[17]  Stephen Jose Hanson,et al.  Brain network response underlying decisions about abstract reinforcers , 2014, NeuroImage.

[18]  Karl J. Friston,et al.  Granger causality revisited , 2014, NeuroImage.

[19]  S. Billings,et al.  A nonlinear causality measure in the frequency domain: Nonlinear partial directed coherence with applications to EEG , 2014, Journal of Neuroscience Methods.

[20]  Xingfeng Li,et al.  fMRI Effective Connectivity Study , 2014 .

[21]  Masao Ito,et al.  Consensus Paper: The Cerebellum's Role in Movement and Cognition , 2014, The Cerebellum.

[22]  J. Duyn,et al.  Time-varying functional network information extracted from brief instances of spontaneous brain activity , 2013, Proceedings of the National Academy of Sciences.

[23]  M. Filippi,et al.  Differential cerebellar functional interactions during an interference task across multiple sclerosis phenotypes. , 2012, Radiology.

[24]  Susan L. Whitfield-Gabrieli,et al.  Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks , 2012, Brain Connect..

[25]  G. Wylie,et al.  Altered effective connectivity during performance of an information processing speed task in multiple sclerosis , 2012, Multiple sclerosis.

[26]  Bernhard Hemmer,et al.  An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis , 2012, NeuroImage.

[27]  J. Ranjeva,et al.  Assessing brain connectivity at rest is clinically relevant in early multiple sclerosis , 2012, Multiple sclerosis.

[28]  Jens Timmer,et al.  Multivariate analysis of dynamical processes with applications to the neurosciences , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[29]  Clark Glymour,et al.  Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study , 2011, NeuroImage.

[30]  C. Neuper,et al.  Reorganization in cognitive networks with progression of multiple sclerosis , 2011, Neurology.

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

[32]  M. Allard,et al.  Cognitive compensation failure in multiple sclerosis , 2010, Neurology.

[33]  M. V. D. Heuvel,et al.  Exploring the brain network: A review on resting-state fMRI functional connectivity , 2010, European Neuropsychopharmacology.

[34]  F. Barkhof,et al.  Resting state networks change in clinically isolated syndrome. , 2010, Brain : a journal of neurology.

[35]  Karl J. Friston,et al.  Analyzing effective connectivity with functional magnetic resonance imaging. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[36]  Frauke Zipp,et al.  Multiple sclerosis – candidate mechanisms underlying CNS atrophy , 2010, Trends in Neurosciences.

[37]  Russell A. Poldrack,et al.  Six problems for causal inference from fMRI , 2010, NeuroImage.

[38]  L. Kappos,et al.  The Fatigue Scale for Motor and Cognitive Functions (FSMC): validation of a new instrument to assess multiple sclerosis-related fatigue , 2009, Multiple sclerosis.

[39]  Björn Schelter,et al.  Time-variant estimation of directed influences during Parkinsonian tremor , 2009, Journal of Physiology-Paris.

[40]  P. Matthews,et al.  Abnormal connectivity of the sensorimotor network in patients with MS: A multicenter fMRI study , 2009, Human brain mapping.

[41]  A. Neubauer,et al.  Intelligence and neural efficiency , 2009, Neuroscience & Biobehavioral Reviews.

[42]  M. Eichler,et al.  Assessing the strength of directed influences among neural signals using renormalized partial directed coherence , 2009, Journal of Neuroscience Methods.

[43]  M. Filippi,et al.  Functional cortical changes of the sensorimotor network are associated with clinical recovery in multiple sclerosis , 2008, Human brain mapping.

[44]  M. Corbetta,et al.  Electrophysiological signatures of resting state networks in the human brain , 2007, Proceedings of the National Academy of Sciences.

[45]  Bertrand Audoin,et al.  Structure of WM bundles constituting the working memory system in early multiple sclerosis: A quantitative DTI tractography study , 2007, NeuroImage.

[46]  N. Ramnani.  The primate cortico-cerebellar system: anatomy and function , 2006, Nature Reviews Neuroscience.

[47]  M. Filippi,et al.  Cortical adaptation in patients with MS: a cross-sectional functional MRI study of disease phenotypes , 2005, The Lancet Neurology.

[48]  Bertrand Audoin,et al.  Modulation of effective connectivity inside the working memory network in patients at the earliest stage of multiple sclerosis , 2005, NeuroImage.

[49]  P. Matthews,et al.  Altered cerebellar functional connectivity mediates potential adaptive plasticity in patients with multiple sclerosis , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[50]  Giuseppe Scotti,et al.  A functional magnetic resonance imaging study of patients with secondary progressive multiple sclerosis , 2003, NeuroImage.

[51]  Karl J. Friston,et al.  Dynamic causal modelling , 2003, NeuroImage.

[52]  Eric A. Wan,et al.  Dual Extended Kalman Filter Methods , 2002 .

[53]  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.

[54]  S. Haykin.  Kalman Filtering and Neural Networks , 2001 .

[55]  Luiz A. Baccalá,et al.  Partial directed coherence: a new concept in neural structure determination , 2001, Biological Cybernetics.

[56]  Alois Schlögl,et al.  The Electroencephalogram and the Adaptive Autoregressive Model: Theory and Applications , 2000 .

[57]  Rudolph van der Merwe,et al.  Dual Estimation and the Unscented Transformation , 1999, NIPS.

[58]  P. Spirtes,et al.  Causation, prediction, and search , 1993 .