Apolipoprotein E allele 4 effects on Single-Subject Gray Matter Networks in Mild Cognitive Impairment
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Ferath Kherif | Bogdan Draganski | L. Melie-García | J. Démonet | B. Rodríguez-Herreros | Gretel Sanabria-Diaz
[1] H. Fillit,et al. Alzheimer's Disease Drug Development , 2022 .
[2] Ferath Kherif,et al. Apolipoprotein E4 effects on topological brain network organization in mild cognitive impairment , 2021, Scientific reports.
[3] W. M. van der Flier,et al. Single-subject gray matter networks predict future cortical atrophy in preclinical Alzheimer's disease , 2020, Neurobiology of Aging.
[4] P. Tiňo,et al. Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease , 2020, NeuroImage: Clinical.
[5] N. Jahanshad,et al. The reliability and heritability of cortical folds and their genetic correlations across hemispheres , 2019, bioRxiv.
[6] Michael W. Paul Michael Paul Ronald Clifford R. William Jo Weiner Aisen Weiner Aisen Petersen Jack J,et al. The Influence of Cerebrospinal Fluid Abnormalities and APOE 4 on PHF-Tau Protein: Evidence From Voxel Analysis and Graph Theory , 2019, Front. Aging Neurosci..
[7] Zhijun Zhang,et al. Apolipoprotein E ε4 Specifically Modulates the Hippocampus Functional Connectivity Network in Patients With Amnestic Mild Cognitive Impairment , 2018, Front. Aging Neurosci..
[8] J. Whitwell,et al. Alzheimer's disease neuroimaging , 2018, Current opinion in neurology.
[9] J. Trojanowski,et al. CSF biomarkers of Alzheimer’s disease concord with amyloid-β PETand predict clinical progression: A study of fully automated immunoassays in BioFINDER and ADNI cohorts , 2018, Alzheimer's & Dementia.
[10] P. Scheltens,et al. Gray matter network measures are associated with cognitive decline in mild cognitive impairment , 2018, Neurobiology of Aging.
[11] P. Scheltens,et al. Gray matter networks and clinical progression in subjects with predementia Alzheimer's disease , 2018, Neurobiology of Aging.
[12] Ferath Kherif,et al. Networks of myelin covariance , 2017, Human brain mapping.
[13] D. Zaykin,et al. CEREBROSPINAL FLUID BIOMARKER SIGNATURE IN ALZHEIMER’S DISEASE GENETIC ASSOCIATION LANDSCAPE BY FUNCTIONAL LINEAR MODELS , 2017, Alzheimer's & Dementia.
[14] Keith A. Johnson,et al. A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers , 2016, Neurology.
[15] A. Simmons,et al. Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease , 2016, Cerebral cortex.
[16] Frederik Barkhof,et al. Gray matter network disruptions and amyloid beta in cognitively normal adults , 2016, Neurobiology of Aging.
[17] S. An,et al. Role of apolipoprotein E in neurodegenerative diseases , 2015, Neuropsychiatric disease and treatment.
[18] M. Adjouadi,et al. Apolipoprotein-E4 (ApoE4) carriers show altered small-world properties in the default mode network of the brain , 2015 .
[19] Jiaxiang Zheng,et al. A FDG-PET Study of Metabolic Networks in Apolipoprotein E ε4 Allele Carriers , 2015, PloS one.
[20] Michael W. Weiner,et al. Alzheimer’s Disease Neuroimaging Initiative 2 Clinical Core: Progress and plans , 2015, Alzheimer's & Dementia.
[21] B. Hyman,et al. APOEε2 is associated with milder clinical and pathological Alzheimer disease , 2015, Annals of neurology.
[22] Yong He,et al. Apolipoprotein E ε4 modulates functional brain connectome in Alzheimer's disease , 2015, Human brain mapping.
[23] M. Breakspear,et al. The connectomics of brain disorders , 2015, Nature Reviews Neuroscience.
[24] 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.
[25] J. Cummings,et al. Alzheimer’s disease drug-development pipeline: few candidates, frequent failures , 2014, Alzheimer's Research & Therapy.
[26] Norbert Schuff,et al. Directed Progression Brain Networks in Alzheimer's Disease: Properties and Classification , 2014, Brain Connect..
[27] Cornelis J. Stam,et al. Single-Subject Gray Matter Graph Properties and Their Relationship with Cognitive Impairment in Early- and Late-Onset Alzheimer's Disease , 2014, Brain Connect..
[28] P. Murali Doraiswamy,et al. Mapping the effect of the apolipoprotein E genotype on 4-year atrophy rates in an Alzheimer disease-related brain network. , 2014, Radiology.
[29] C. Jack,et al. Biomarker Modeling of Alzheimer’s Disease , 2013, Neuron.
[30] Jun-Sung Park,et al. Influence of APOE Genotype on Whole-Brain Functional Networks in Cognitively Normal Elderly , 2013, PloS one.
[31] A. Fagan,et al. CSF biomarkers of Alzheimer disease , 2013, Neurology.
[32] C. Stam,et al. Alzheimer's disease: connecting findings from graph theoretical studies of brain networks , 2013, Neurobiology of Aging.
[33] P. Scheltens. Dementia: Mild cognitive impairment—amyloid and beyond , 2013, Nature Reviews Neurology.
[34] E. Bullmore,et al. Imaging structural co-variance between human brain regions , 2013, Nature Reviews Neuroscience.
[35] W. M. van der Flier,et al. Single-Subject Grey Matter Graphs in Alzheimer's Disease , 2013, PloS one.
[36] C. Jack,et al. Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers , 2013, The Lancet Neurology.
[37] Huaxi Xu,et al. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy , 2013, Nature Reviews Neurology.
[38] C. Jack,et al. The role of apolipoprotein E (APOE) genotype in early mild cognitive impairment (E-MCI) , 2013, Front. Aging Neurosci..
[39] D. Holtzman,et al. Apolipoprotein E, Especially Apolipoprotein E4, Increases the Oligomerization of Amyloid β Peptide , 2012, The Journal of Neuroscience.
[40] Philip S. Insel,et al. Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) , 2012, Brain Imaging and Behavior.
[41] D. Willshaw,et al. Cerebral Cortex doi:10.1093/cercor/bhr221 Cerebral Cortex Advance Access published September 21, 2011 Similarity-Based Extraction of Individual Networks from Gray Matter MRI Scans , 2022 .
[42] Alan C. Evans,et al. Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex , 2012, NeuroImage.
[43] Rodrigo M. Braga,et al. Echoes of the Brain within the Posterior Cingulate Cortex , 2012, The Journal of Neuroscience.
[44] Jesse A. Brown,et al. Brain network local interconnectivity loss in aging APOE-4 allele carriers , 2011, Proceedings of the National Academy of Sciences.
[45] Alma Tamara Sanchez Jimenez,et al. Manuscript Submission , 2011, Documenta Ophthalmologica.
[46] T. Iwatsubo. [Alzheimer's disease Neuroimaging Initiative (ADNI)]. , 2011, Nihon rinsho. Japanese journal of clinical medicine.
[47] Danielle S Bassett,et al. Brain graphs: graphical models of the human brain connectome. , 2011, Annual review of clinical psychology.
[48] Min Chen,et al. Multi-parametric neuroimaging reproducibility: A 3-T resource study , 2011, NeuroImage.
[49] T. Bird,et al. Review Article: Genetics of Alzheimer Disease , 2010, Journal of geriatric psychiatry and neurology.
[50] Yuan Zhou,et al. Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease , 2010, PLoS Comput. Biol..
[51] Andreas Daffertshofer,et al. Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory , 2010, PloS one.
[52] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[53] C. Jack,et al. Longitudinal MRI atrophy biomarkers: Relationship to conversion in the ADNI cohort , 2010, Neurobiology of Aging.
[54] Jason H. Moore,et al. Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans , 2010, Alzheimer's & Dementia.
[55] Gretel Sanabria-Diaz,et al. Surface area and cortical thickness descriptors reveal different attributes of the structural human brain networks , 2010, NeuroImage.
[56] Owen Carmichael,et al. Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative , 2010, Alzheimer's & Dementia.
[57] Edward T. Bullmore,et al. Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.
[58] C. Jack,et al. Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade , 2010, The Lancet Neurology.
[59] C. Jack,et al. Alzheimer's Disease Neuroimaging Initiative (ADNI) , 2010, Neurology.
[60] Alan C. Evans,et al. Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.
[61] R. Petersen,et al. Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects , 2009, Annals of neurology.
[62] Susan Bookheimer,et al. APOE-4 genotype and neurophysiological vulnerability to Alzheimer's and cognitive aging. , 2009, Annual review of clinical psychology.
[63] 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.
[64] Alan C. Evans,et al. Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease , 2008, The Journal of Neuroscience.
[65] K. Gurney,et al. Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence , 2008, PloS one.
[66] Nick C Fox,et al. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.
[67] Nicolas Cherbuin,et al. Neuroimaging and APOE Genotype: A Systematic Qualitative Review , 2007, Dementia and Geriatric Cognitive Disorders.
[68] Anatol C. Kreitzer,et al. Aberrant Excitatory Neuronal Activity and Compensatory Remodeling of Inhibitory Hippocampal Circuits in Mouse Models of Alzheimer's Disease , 2007, Neuron.
[69] M. Raichle. The Brain's Dark Energy , 2006, Science.
[70] L. Mucke,et al. A network dysfunction perspective on neurodegenerative diseases , 2006, Nature.
[71] Ahmad Salehi,et al. Increased App Expression in a Mouse Model of Down's Syndrome Disrupts NGF Transport and Causes Cholinergic Neuron Degeneration , 2006, Neuron.
[72] Alan C. Evans,et al. Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI , 2006, NeuroImage.
[73] V. Latora,et al. Complex networks: Structure and dynamics , 2006 .
[74] Karl J. Friston,et al. Structural Covariance in the Human Cortex , 2005, The Journal of Neuroscience.
[75] Lars Kai Hansen,et al. Mining the posterior cingulate: Segregation between memory and pain components , 2005, NeuroImage.
[76] Benjamin J. Shannon,et al. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory , 2005, The Journal of Neuroscience.
[77] C. Jack,et al. Ways toward an early diagnosis in Alzheimer’s disease: The Alzheimer’s Disease Neuroimaging Initiative (ADNI) , 2005, Alzheimer's & Dementia.
[78] H C Charles,et al. Impact of APOE in mild cognitive impairment , 2004, Neurology.
[79] T. S. Evans,et al. Complex networks , 2004 .
[80] R. Petersen. Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.
[81] 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.
[82] C. Jack,et al. Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD , 2004, Neurology.
[83] F. Collette,et al. Alzheimer' Disease as a Disconnection Syndrome? , 2003, Neuropsychology Review.
[84] K. Sneppen,et al. Specificity and Stability in Topology of Protein Networks , 2002, Science.
[85] J. Morris,et al. Current concepts in mild cognitive impairment. , 2001, Archives of neurology.
[86] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[87] M. Buonocore,et al. Remembering familiar people: the posterior cingulate cortex and autobiographical memory retrieval , 2001, Neuroscience.
[88] P. Maruff,et al. The neuropsychology of preclinical Alzheimer's disease and mild cognitive impairment , 2000, Neuroscience & Biobehavioral Reviews.
[89] R. Petersen,et al. Mild cognitive impairment: transition between aging and Alzheimer's disease. , 2000, Neurologia.
[90] E. Tangalos,et al. Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .
[91] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[92] John Hardy,et al. Amyloid, the presenilins and Alzheimer's disease , 1997, Trends in Neurosciences.
[93] S. Sakoda,et al. Apolipoprotein E ε4 , 1994, Neurology.
[94] H Fraser,et al. Scrapie in the central nervous system: neuroanatomical spread of infection and Sinc control of pathogenesis. , 1992, The Journal of general virology.
[95] G. V. Van Hoesen,et al. Alzheimer's disease: cell-specific pathology isolates the hippocampal formation. , 1984, Science.
[96] R. Iman,et al. Rank Transformations as a Bridge between Parametric and Nonparametric Statistics , 1981 .
[97] J. R. Landis,et al. The measurement of observer agreement for categorical data. , 1977, Biometrics.
[98] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[99] P. Rubé,et al. L’examen Clinique en Psychologie , 1959 .
[100] Boris M. Velichkovsky,et al. The cingulate cortex and human memory processes , 2012 .
[101] M. Filippi,et al. Structural and functional network connectivity breakdown in Alzheimer’s disease studied with magnetic resonance imaging techniques. , 2011, Journal of Alzheimer's disease : JAD.
[102] D. Selkoe. Alzheimer's disease. , 2011, Cold Spring Harbor perspectives in biology.
[103] Nick C. Fox,et al. The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging and Alzheimer's Association workgroup , 2011 .
[104] R. Iman,et al. Rank Transformations as a Bridge Between Parametric , 2007 .
[105] S. Ravi,et al. Computer-aided multivariate analysis, 4th edition , 2005 .
[106] Lars Kai Hansen,et al. Mining Posterior Cingulate , 2004 .
[107] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[108] D. Wechsler. A Standardized Memory Scale for Clinical Use , 1945 .
[109] A. Nappi,et al. Alzheimer ' s Disease : Cell-Specific Pathology Isolates the Hippocampal Formation , 2022 .