Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage
暂无分享,去创建一个
Peng Qi | Yu Sun | Liming Yang | Xuebin Yu | Xiaobing Zhang | Qingquan Bao | Peng Qi | Yu Sun | Xiaobing Zhang | Qingquan Bao | Xuebin Yu | L. Yang
[1] B Cooper,et al. Improving the sensitivity of the Barthel Index for stroke rehabilitation. , 1989, Journal of clinical epidemiology.
[2] Yu Chen,et al. The effects of a mid-task break on the brain connectome in healthy participants: A resting-state functional MRI study , 2017, NeuroImage.
[3] Yufeng Zang,et al. DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .
[4] G. Fink,et al. Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches , 2011, Brain : a journal of neurology.
[5] P. Rossini,et al. Small-World Characteristics of Cortical Connectivity Changes in Acute Stroke , 2017, Neurorehabilitation and neural repair.
[6] Pengfei Xu,et al. PANDA: a pipeline toolbox for analyzing brain diffusion images , 2013, Front. Hum. Neurosci..
[7] Karl J. Friston,et al. Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.
[8] K. Sneppen,et al. Specificity and Stability in Topology of Protein Networks , 2002, Science.
[9] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[10] S. Black,et al. The Fugl-Meyer Assessment of Motor Recovery after Stroke: A Critical Review of Its Measurement Properties , 2002, Neurorehabilitation and neural repair.
[11] Edward T. Bullmore,et al. Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.
[12] B. T. Thomas Yeo,et al. Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations , 2017, NeuroImage.
[13] Thomas R. Knösche,et al. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.
[14] T. Prescott,et al. The brainstem reticular formation is a small-world, not scale-free, network , 2006, Proceedings of the Royal Society B: Biological Sciences.
[15] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[16] Thomas E. Nichols,et al. Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.
[17] Anastasios Bezerianos,et al. Disrupted Functional Brain Connectivity and Its Association to Structural Connectivity in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease , 2014, PloS one.
[18] Edward T. Bullmore,et al. Efficiency and Cost of Economical Brain Functional Networks , 2007, PLoS Comput. Biol..
[19] Willem M. Otte,et al. Functional MRI and Diffusion Tensor Imaging of Brain Reorganization After Experimental Stroke , 2012, Translational Stroke Research.
[20] Caterina Gratton,et al. Double dissociation of two cognitive control networks in patients with focal brain lesions , 2010, Proceedings of the National Academy of Sciences.
[21] O. Sporns,et al. Dynamical consequences of lesions in cortical networks , 2008, Human brain mapping.
[22] P. Strick,et al. Motor areas in the frontal lobe of the primate , 2002, Physiology & Behavior.
[23] Mark E. Bastin,et al. Test–retest reliability of structural brain networks from diffusion MRI , 2014, NeuroImage.
[24] R. Cameron Craddock,et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics , 2013, NeuroImage.
[25] V Latora,et al. Efficient behavior of small-world networks. , 2001, Physical review letters.
[26] Anastasios Bezerianos,et al. Reduced Hemispheric Asymmetry of Brain Anatomical Networks Is Linked to Schizophrenia: A Connectome Study , 2015, Cerebral cortex.
[27] Danielle Smith Bassett,et al. Small-World Brain Networks , 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[28] Á. Pascual-Leone,et al. Longitudinal Changes of Resting-State Functional Connectivity During Motor Recovery After Stroke , 2011, Stroke.
[29] T Brott,et al. The ABCs of measuring intracerebral hemorrhage volumes. , 1996, Stroke.
[30] Shanbao Tong,et al. Reorganization of Motor Execution Networks During Sub-Acute Phase After Stroke , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[31] P. V. van Zijl,et al. Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.
[32] Olaf Sporns,et al. Modeling the Impact of Lesions in the Human Brain , 2009, PLoS Comput. Biol..
[33] Olaf Sporns,et al. THE HUMAN CONNECTOME: A COMPLEX NETWORK , 2011, Schizophrenia Research.
[34] G. Fink,et al. Cortical connectivity after subcortical stroke assessed with functional magnetic resonance imaging , 2008, Annals of neurology.
[35] Edward T. Bullmore,et al. On the use of correlation as a measure of network connectivity , 2012, NeuroImage.
[36] Mark W. Woolrich,et al. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.
[37] A. Toga,et al. Mapping brain asymmetry , 2003, Nature Reviews Neuroscience.
[38] F. Cincotti,et al. Evaluation of the Brain Network Organization From EEG Signals: A Preliminary Evidence in Stroke Patient , 2009, Anatomical record.
[39] O. Sporns,et al. Network hubs in the human brain , 2013, Trends in Cognitive Sciences.
[40] Liang Wang,et al. Dynamic functional reorganization of the motor execution network after stroke. , 2010, Brain : a journal of neurology.
[41] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[42] C. Stam. Modern network science of neurological disorders , 2014, Nature Reviews Neuroscience.
[43] Alan C. Evans,et al. Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. , 2009, Cerebral cortex.
[44] M. Hallett,et al. Multimodal imaging of brain reorganization in motor areas of the contralesional hemisphere of well recovered patients after capsular stroke. , 2006, Brain : a journal of neurology.
[45] Yong He,et al. BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.
[46] Leonard M. Freeman,et al. A set of measures of centrality based upon betweenness , 1977 .
[47] 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.
[48] Mark W. Woolrich,et al. Network modelling methods for FMRI , 2011, NeuroImage.
[49] Alan C. Evans,et al. Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.
[50] John Suckling,et al. Asymmetry of Hemispheric Network Topology Reveals Dissociable Processes between Functional and Structural Brain Connectome in Community-Living Elders , 2017, Front. Aging Neurosci..
[51] Kang Sim,et al. Modular‐level alterations of structure–function coupling in schizophrenia connectome , 2017, Human brain mapping.
[52] R. Tsien,et al. Specificity and Stability in Topology of Protein Networks , 2022 .