Selectively and progressively disrupted structural connectivity of functional brain networks in Alzheimer's disease — Revealed by a novel framework to analyze edge distributions of networks detecting disruptions with strong statistical evidence
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Claus Zimmer | Hans Förstl | Christian Sorg | Afra M. Wohlschläger | Karsten Rodenacker | Sergei Prigarin | Nicholas Myers | Alexander Kurz | Klaus Hahn | K. Rodenacker | C. Sorg | Hans Förstl | A. Kurz | C. Zimmer | A. Wohlschläger | Nicholas Myers | S. Prigarin | K. Hahn
[1] J. Morris. The Clinical Dementia Rating (CDR) , 1993, Neurology.
[2] Yong He,et al. Diffusion Tensor Tractography Reveals Abnormal Topological Organization in Structural Cortical Networks in Alzheimer's Disease , 2010, The Journal of Neuroscience.
[3] J. Pekar,et al. A method for making group inferences from functional MRI data using independent component analysis , 2001, Human brain mapping.
[4] V. Calhoun,et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.
[5] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[6] C. Sorg,et al. Disconnection of frontal and parietal areas contributes to impaired attention in very early Alzheimer's disease. , 2011, Journal of Alzheimer's disease : JAD.
[7] G. Ruxton,et al. Distribution-free two-sample comparisons in the case of heterogeneous variances , 2009, Behavioral Ecology and Sociobiology.
[8] H. B. Mann,et al. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .
[9] Michael D. Greicius,et al. Relationships between β-amyloid and functional connectivity in different components of the default mode network in aging. , 2011, Cerebral cortex.
[10] A. Alexander,et al. White matter tractography using diffusion tensor deflection , 2003, Human brain mapping.
[11] Matthias J. Müller,et al. Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment , 2005, Neurobiology of Aging.
[12] Derek L. G. Hill,et al. Registration Methodology: Concepts and Algorithms , 2001 .
[13] E. Brunner,et al. The Nonparametric Behrens‐Fisher Problem: Asymptotic Theory and a Small‐Sample Approximation , 2000 .
[14] C. Sorg,et al. Prediction of Alzheimer's disease using individual structural connectivity networks , 2012, Neurobiology of Aging.
[15] R. Petersen,et al. Mild cognitive impairment , 2006, The Lancet.
[16] Klaus P. Ebmeier,et al. A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease , 2011, Neurobiology of Aging.
[17] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[18] A. Fleisher,et al. Attention‐related networks in Alzheimer's disease: A resting functional MRI study , 2012, Human brain mapping.
[19] Marco Bozzali,et al. Anatomical connectivity mapping: A new tool to assess brain disconnection in Alzheimer's disease , 2011, NeuroImage.
[20] G. Frisoni,et al. Functional network disruption in the degenerative dementias , 2011, The Lancet Neurology.
[21] 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.
[22] Xue Wang,et al. Reproducibility of Structural, Resting-State BOLD and DTI Data between Identical Scanners , 2012, PloS one.
[23] Cheng Guan Koay,et al. Investigation of anomalous estimates of tensor‐derived quantities in diffusion tensor imaging , 2006, Magnetic resonance in medicine.
[24] 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.
[25] R. K. Hutson,et al. Abnormal connectivity in the posterior cingulate and hippocampus in early Alzheimer's disease and mild cognitive impairment , 2008, Alzheimer's & Dementia.
[26] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[27] James F Troendle,et al. Multiple Testing with Minimal Assumptions , 2008, Biometrical journal. Biometrische Zeitschrift.
[28] N. Ayache,et al. Log‐Euclidean metrics for fast and simple calculus on diffusion tensors , 2006, Magnetic resonance in medicine.
[29] J. Morris,et al. The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assesment of Alzheimer's disease , 1989, Neurology.
[30] M. Weiner,et al. Neuroimaging markers for the prediction and early diagnosis of Alzheimer's disease dementia , 2011, Trends in Neurosciences.
[31] Solomon W. Harrar,et al. Ranking procedures for matched pairs with missing data - Asymptotic theory and a small sample approximation , 2012, Comput. Stat. Data Anal..
[32] H. Hampel,et al. Strukturelle und funktionelle neuronale Konnektivität bei der Alzheimer-Krankheit , 2011, Der Nervenarzt.
[33] T. Hothorn,et al. Multiple Comparisons Using R , 2010 .
[34] Danielle S. Bassett,et al. Conserved and variable architecture of human white matter connectivity , 2011, NeuroImage.
[35] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[36] Thomas E. Nichols,et al. Rank-order versus mean based statistics for neuroimaging , 2007, NeuroImage.
[37] P. Westfall,et al. Multiple Tests with Discrete Distributions , 1997 .
[38] E. Ziegel. Permutation, Parametric, and Bootstrap Tests of Hypotheses (3rd ed.) , 2005 .
[39] Derek K. Jones,et al. Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review , 2002 .
[40] Klaus Hahn,et al. Fitting of two-tensor models without ad hoc assumptions to detect crossing fibers using clinical DWI data. , 2013, Magnetic resonance imaging.
[41] Edgar Brunner,et al. A studentized permutation test for the non-parametric Behrens-Fisher problem , 2007, Comput. Stat. Data Anal..
[42] Daoqiang Zhang,et al. Identification of MCI individuals using structural and functional connectivity networks , 2012, NeuroImage.
[43] C. Sorg,et al. Impact of Alzheimer's disease on the functional connectivity of spontaneous brain activity. , 2009, Current Alzheimer research.
[44] Joseph V. Hajnal,et al. Registration Methodology: Concepts and Algorithms , 2001 .
[45] Nick C Fox,et al. Clinical and biomarker changes in dominantly inherited Alzheimer's disease. , 2012, The New England journal of medicine.
[46] Daniel Rueckert,et al. Hierarchy in Anatomical Brain Networks Derived from Diffusion Weighted Images in 64 and 15 Directions , 2012 .
[47] Michael J Leach,et al. Longitudinal , 2015, The Medical journal of Australia.
[48] M. Greicius,et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. , 2009, Cerebral cortex.
[49] H. Möller,et al. [Structural and functional neuronal connectivity in Alzheimer's disease: a combined DTI and fMRI study]. , 2012, Der Nervenarzt.
[50] Michael Deppe,et al. Diffusion-Tensor Imaging at 3 T: Detection of White Matter Alterations in Neurological Patients on the Basis of Normal Values , 2007, Investigative radiology.
[51] Elisabetta Binaghi,et al. Functional magnetic resonance imaging: comparison between activation maps and computation pipelines in a clinical context. , 2013, Magnetic resonance imaging.
[52] S Mohammadi,et al. Pattern and progression of white-matter changes in a case of posterior cortical atrophy using diffusion tensor imaging , 2008, Journal of Neurology, Neurosurgery, and Psychiatry.
[53] R. Kahn,et al. Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain , 2009, Human brain mapping.
[54] William H. Press,et al. Numerical recipes , 1990 .
[55] H. Braak,et al. Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.
[56] David J. Groggel,et al. Practical Nonparametric Statistics , 2000, Technometrics.
[57] J. Booth,et al. Resampling-Based Multiple Testing. , 1994 .
[58] P. Good. Permutation, Parametric, and Bootstrap Tests of Hypotheses , 2005 .
[59] Keith A. Johnson,et al. Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia , 2009, Neuron.
[60] T. Eichele,et al. Increased Intrinsic Brain Activity in the Striatum Reflects Symptom Dimensions in Schizophrenia , 2012, Schizophrenia bulletin.
[61] M. Raichle,et al. Resting State Functional Connectivity in Preclinical Alzheimer’s Disease , 2013, Biological Psychiatry.
[62] G. Frisoni,et al. Resting state fMRI in Alzheimer's disease: beyond the default mode network , 2012, Neurobiology of Aging.
[63] Frank Konietschke,et al. A studentized permutation test for the nonparametric Behrens-Fisher problem in paired data , 2012 .
[64] E. Duchesnay,et al. Longitudinal brain metabolic changes from amnestic Mild Cognitive Impairment to Alzheimer's disease , 2009, NeuroImage.
[65] M. F. Fuller,et al. Practical Nonparametric Statistics; Nonparametric Statistical Inference , 1973 .
[66] Cornelis J Stam,et al. Graph theoretical analysis of complex networks in the brain , 2007, Nonlinear biomedical physics.
[67] S. Schoenberg,et al. White matter damage in Alzheimer disease and mild cognitive impairment: assessment with diffusion-tensor MR imaging and parallel imaging techniques. , 2007, Radiology.
[68] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[69] Keith A. Johnson,et al. Neuronal dysfunction and disconnection of cortical hubs in non-demented subjects with elevated amyloid burden , 2011, Alzheimer's & Dementia.
[70] Henrik Zetterberg,et al. Alzheimer's disease , 2006, The Lancet.