What can the topology of white matter structural networks tell us about mild cognitive impairment
暂无分享,去创建一个
[1] W. M. van der Flier,et al. Atrophy, hypometabolism and clinical trajectories in patients with amyloid-negative Alzheimer's disease. , 2016, Brain : a journal of neurology.
[2] S. Vann,et al. Amyloid imaging and Alzheimer's disease: the unsolved cases. , 2016, Brain : a journal of neurology.
[3] Nick C Fox,et al. White matter hyperintensities are a core feature of Alzheimer's disease: Evidence from the dominantly inherited Alzheimer network , 2016, Annals of neurology.
[4] A. Simmons,et al. Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease , 2016, Cerebral cortex.
[5] D. Norris,et al. Structural network efficiency predicts conversion to dementia , 2016, Neurology.
[6] P. Rossini,et al. Cortical connectivity and memory performance in cognitive decline: A study via graph theory from EEG data , 2016, Neuroscience.
[7] Neda Jahanshad,et al. Disrupted rich club network in behavioral variant frontotemporal dementia and early‐onset Alzheimer's disease , 2015, Human brain mapping.
[8] Ruben Schmidt,et al. Epicentral Disruption of Structural Connectivity in Alzheimer's Disease , 2015, CNS neuroscience & therapeutics.
[9] R. Petersen,et al. Mild Neurocognitive Disorder: An Old Wine in a New Bottle , 2015, Harvard review of psychiatry.
[10] Clifford R Jack,et al. Rich club analysis in the Alzheimer's disease connectome reveals a relatively undisturbed structural core network , 2015, Human brain mapping.
[11] Giovanni Volpe,et al. Aberrant cerebral network topology and mild cognitive impairment in early Parkinson's disease , 2015, Human brain mapping.
[12] Erik D. Fagerholm,et al. Disconnection of network hubs and cognitive impairment after traumatic brain injury , 2015, Brain : a journal of neurology.
[13] Li Wang,et al. The effects of antidepressant treatment on resting‐state functional brain networks in patients with major depressive disorder , 2015, Human brain mapping.
[14] C. Jack,et al. Connectivity network measures predict volumetric atrophy in mild cognitive impairment , 2015, Neurobiology of Aging.
[15] Shantanu H. Joshi,et al. Brain connectivity and novel network measures for Alzheimer's disease classification , 2015, Neurobiology of Aging.
[16] Derek K. Jones,et al. Cholinergic Basal Forebrain Structure Influences the Reconfiguration of White Matter Connections to Support Residual Memory in Mild Cognitive Impairment , 2015, The Journal of Neuroscience.
[17] David Phillips,et al. Graph theoretic analysis of structural connectivity across the spectrum of Alzheimer's disease: The importance of graph creation methods , 2015, NeuroImage: Clinical.
[18] C. Stam. Modern network science of neurological disorders , 2014, Nature Reviews Neuroscience.
[19] Robert Leech,et al. Damage to the Salience Network and Interactions with the Default Mode Network , 2014, The Journal of Neuroscience.
[20] A. W. Chung,et al. Structural network efficiency is associated with cognitive impairment in small-vessel disease , 2014, Neurology.
[21] Mark A. Straccia,et al. Anterior Cingulate Engagement in a Foraging Context Reflects Choice Difficulty, Not Foraging Value , 2014, Nature Neuroscience.
[22] E. Bullmore,et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.
[23] J. Petrella,et al. The Alzheimer structural connectome: changes in cortical network topology with increased amyloid plaque burden. , 2014, Radiology.
[24] Marco K. Wittmann,et al. Multiple Neural Mechanisms of Decision Making and Their Competition under Changing Risk Pressure , 2014, Neuron.
[25] Evan Fletcher,et al. Loss of fornix white matter volume as a predictor of cognitive impairment in cognitively normal elderly individuals. , 2013, JAMA neurology.
[26] J. Thiran,et al. Structural connectomics in brain diseases , 2013, NeuroImage.
[27] M. Breakspear,et al. Graph analysis of the human connectome: Promise, progress, and pitfalls , 2013, NeuroImage.
[28] Michael Weiner,et al. Breakdown of Brain Connectivity Between Normal Aging and Alzheimer's Disease: A Structural k-Core Network Analysis , 2013, Brain Connect..
[29] Jonathan D. Cohen,et al. The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function , 2013, Neuron.
[30] Gretel Sanabria-Diaz,et al. Glucose Metabolism during Resting State Reveals Abnormal Brain Networks Organization in the Alzheimer’s Disease and Mild Cognitive Impairment , 2013, PloS one.
[31] Thomas R. Knösche,et al. White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.
[32] Alexander Leemans,et al. Disruption of the Cerebral White Matter Network Is Related to Slowing of Information Processing Speed in Patients With Type 2 Diabetes , 2013, Diabetes.
[33] Alexander Leemans,et al. Disruption of cerebral networks and cognitive impairment in Alzheimer disease , 2013, Neurology.
[34] Olaf Sporns,et al. Network attributes for segregation and integration in the human brain , 2013, Current Opinion in Neurobiology.
[35] Anna E. Mechling,et al. Antidepressants normalize the default mode network in patients with dysthymia. , 2013, JAMA psychiatry.
[36] Yong He,et al. Disrupted Functional Brain Connectome in Individuals at Risk for Alzheimer's Disease , 2013, Biological Psychiatry.
[37] C. Jack,et al. Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers , 2013, The Lancet Neurology.
[38] Alan C. Evans,et al. Structural networks in Alzheimer's disease , 2013, European Neuropsychopharmacology.
[39] Paul M. Matthews,et al. Brain Microstructure Reveals Early Abnormalities more than Two Years prior to Clinical Progression from Mild Cognitive Impairment to Alzheimer's Disease , 2013, The Journal of Neuroscience.
[40] William Jagust,et al. Vulnerable Neural Systems and the Borderland of Brain Aging and Neurodegeneration , 2013, Neuron.
[41] J. Trojanowski,et al. Synthetic Tau Fibrils Mediate Transmission of Neurofibrillary Tangles in a Transgenic Mouse Model of Alzheimer's-Like Tauopathy , 2013, The Journal of Neuroscience.
[42] Derek K. Jones,et al. Cingulum Microstructure Predicts Cognitive Control in Older Age and Mild Cognitive Impairment , 2012, The Journal of Neuroscience.
[43] Derek K. Jones,et al. Temporal association tracts and the breakdown of episodic memory in mild cognitive impairment , 2012, Neurology.
[44] He Li,et al. Disrupted topological organization in white matter structural networks in amnestic mild cognitive impairment: relationship to subtype. , 2012, Radiology.
[45] Timothy Edward John Behrens,et al. The Human Connectome Project: A data acquisition perspective , 2012, NeuroImage.
[46] Nadim Joni Shah,et al. Human cortical connectome reconstruction from diffusion weighted MRI: The effect of tractography algorithm , 2012, NeuroImage.
[47] Lin Zhuang,et al. Microstructural white matter changes in cognitively normal individuals at risk of amnestic MCI , 2012, Neurology.
[48] J. Gläscher,et al. Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex , 2012, Proceedings of the National Academy of Sciences.
[49] Adam M. Brickman,et al. Testing the white matter retrogenesis hypothesis of cognitive aging , 2012, Neurobiology of Aging.
[50] Xiaoping Hu,et al. The effects of connection reconstruction method on the interregional connectivity of brain networks via diffusion tractography , 2012, Human brain mapping.
[51] Cornelis J. Stam,et al. Activity Dependent Degeneration Explains Hub Vulnerability in Alzheimer's Disease , 2012, PLoS Comput. Biol..
[52] J. Aggleton. Multiple anatomical systems embedded within the primate medial temporal lobe: Implications for hippocampal function , 2012, Neuroscience & Biobehavioral Reviews.
[53] O. Sporns,et al. High-cost, high-capacity backbone for global brain communication , 2012, Proceedings of the National Academy of Sciences.
[54] O. Sporns,et al. The economy of brain network organization , 2012, Nature Reviews Neuroscience.
[55] M. Weiner,et al. A Network Diffusion Model of Disease Progression in Dementia , 2012, Neuron.
[56] Yong He,et al. Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment , 2012, The Journal of Neuroscience.
[57] O. Sporns,et al. Rich-Club Organization of the Human Connectome , 2011, The Journal of Neuroscience.
[58] J. A. Almendral,et al. Reorganization of Functional Networks in Mild Cognitive Impairment , 2011, PloS one.
[59] Jee Hoon Roh,et al. Neuronal activity regulates the regional vulnerability to amyloid-β deposition , 2011, Nature Neuroscience.
[60] Yong He,et al. Diffusion Tensor Tractography Reveals Abnormal Topological Organization in Structural Cortical Networks in Alzheimer's Disease , 2010, The Journal of Neuroscience.
[61] Yuan Zhou,et al. Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease , 2010, PLoS Comput. Biol..
[62] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[63] C. Jack,et al. Clinical core of the Alzheimer's disease neuroimaging initiative: Progress and plans , 2010, Alzheimer's & Dementia.
[64] Edward T. Bullmore,et al. Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.
[65] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[66] S. Resnick,et al. Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index. , 2009, Brain : a journal of neurology.
[67] B. Miller,et al. Neurodegenerative Diseases Target Large-Scale Human Brain Networks , 2009, Neuron.
[68] Keith A. Johnson,et al. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.
[69] O Sporns,et al. Predicting human resting-state functional connectivity from structural connectivity , 2009, Proceedings of the National Academy of Sciences.
[70] John P. Aggleton,et al. Interleaving brain systems for episodic and recognition memory , 2006, Trends in Cognitive Sciences.
[71] Anna Barnes,et al. Network modulation by the subthalamic nucleus in the treatment of Parkinson's disease , 2006, NeuroImage.
[72] B. Postle. Working memory as an emergent property of the mind and brain , 2006, Neuroscience.
[73] Olaf Sporns,et al. The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..
[74] 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.
[75] J. Morris,et al. Mild cognitive impairment as a clinical entity and treatment target. , 2005, Archives of neurology.
[76] 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.
[77] G. Bartzokis. Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease , 2004, Neurobiology of Aging.
[78] Frederik Barkhof,et al. Frontostriatal system in planning complexity: a parametric functional magnetic resonance version of tower of london task , 2003, NeuroImage.
[79] H. Braak,et al. Phases of Aβ-deposition in the human brain and its relevance for the development of AD , 2002, Neurology.
[80] J R Hodges,et al. Semantic dementia: relevance to connectionist models of long-term memory. , 2001, Brain : a journal of neurology.
[81] A. Dagher,et al. Mapping the network for planning: a correlational PET activation study with the Tower of London task. , 1999, Brain : a journal of neurology.
[82] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[83] P. Goldman-Rakic. The prefrontal landscape: implications of functional architecture for understanding human mentation and the central executive. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[84] R. Dolan,et al. Neural systems engaged by planning: a PET study of the Tower of London task , 1996, Neuropsychologia.
[85] Karl J. Friston,et al. Investigating a network model of word generation with positron emission tomography , 1991, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[86] E K Warrington,et al. A Disconnection Analysis of Amnesia , 1985, Annals of the New York Academy of Sciences.
[87] N. Geschwind. Disconnexion syndromes in animals and man. I. , 1965, Brain : a journal of neurology.
[88] Alexander Leemans,et al. Structural network alterations and neurological dysfunction in cerebral amyloid angiopathy. , 2015, Brain : a journal of neurology.
[89] Clifford R Jack,et al. Algebraic connectivity of brain networks shows patterns of segregation leading to reduced network robustness in Alzheimer's disease. , 2014, Computational diffusion MRI : MICCAI Workshop, Boston, MA, USA, September 2014. CDMRI (Workshop).
[90] M. Greicius,et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. , 2009, Cerebral cortex.
[91] Anthony Randal McIntosh,et al. Contexts and catalysts , 2007, Neuroinformatics.
[92] H. Braak,et al. Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.
[93] E. Tangalos,et al. Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .