Network connectivity determines cortical thinning in early Parkinson’s disease progression

[1]  Lijun Zhang,et al.  Cortical Thinning and Cognitive Impairment in Parkinson's Disease without Dementia , 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[2]  M. Nalls,et al.  Multiple modality biomarker prediction of cognitive impairment in prospectively followed de novo Parkinson disease , 2017, PloS one.

[3]  J. Ashburner,et al.  l‐Dopa responsiveness is associated with distinctive connectivity patterns in advanced Parkinson's disease , 2017, Movement disorders : official journal of the Movement Disorder Society.

[4]  Marios Politis,et al.  Cognitive decline in Parkinson disease , 2017, Nature Reviews Neurology.

[5]  Alan C. Evans,et al.  Cortical Thickness Abnormalities in Autism Spectrum Disorders Through Late Childhood, Adolescence, and Adulthood: A Large‐Scale MRI Study , 2017, Cerebral cortex.

[6]  D. Ffytche,et al.  The psychosis spectrum in Parkinson disease , 2017, Nature Reviews Neurology.

[7]  D. James Surmeier,et al.  Selective neuronal vulnerability in Parkinson disease , 2017, Nature Reviews Neuroscience.

[8]  Ole Isacson,et al.  The Threshold Theory for Parkinson's Disease , 2017, Trends in Neurosciences.

[9]  Keith A. Johnson,et al.  In Vivo Tau, Amyloid, and Gray Matter Profiles in the Aging Brain , 2016, The Journal of Neuroscience.

[10]  Anna Varentsova DEVELOPMENT OF A HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TEMPLATE AND PROBABILISTIC CONNECTIVITY-BASED ATLAS OF THE HUMAN BRAIN , 2016 .

[11]  D. Selkoe,et al.  A critical appraisal of the pathogenic protein spread hypothesis of neurodegeneration , 2016, Nature Reviews Neuroscience.

[12]  Chan Mi Kim,et al.  Prediction of Alzheimer's disease pathophysiology based on cortical thickness patterns , 2015, Alzheimer's & dementia.

[13]  A. Dagher,et al.  Compensatory striatal–cerebellar connectivity in mild–moderate Parkinson's disease , 2015, NeuroImage: Clinical.

[14]  C. McMillan,et al.  Presence of cerebral amyloid modulates phenotype and pattern of neurodegeneration in early Parkinson's disease , 2016, Journal of Neurology, Neurosurgery & Psychiatry.

[15]  Keith A. Johnson,et al.  PET Radioligands Reveal the Basis of Dementia in Parkinson's Disease and Dementia with Lewy Bodies , 2015, Neurodegenerative Diseases.

[16]  Peter F. Neher,et al.  Strengths and weaknesses of state of the art fiber tractography pipelines - A comprehensive in-vivo and phantom evaluation study using Tractometer , 2015, Medical Image Anal..

[17]  Timothy E. J. Behrens,et al.  Measuring macroscopic brain connections in vivo , 2015, Nature Neuroscience.

[18]  Alan C. Evans,et al.  Network structure of brain atrophy in de novo Parkinson's disease , 2015, eLife.

[19]  Richard F. Betzel,et al.  Cooperative and Competitive Spreading Dynamics on the Human Connectome , 2015, Neuron.

[20]  M. Rietschel,et al.  Correlated gene expression supports synchronous activity in brain networks , 2015, Science.

[21]  K. Frey,et al.  Imaging amyloidopathy in Parkinson disease and parkinsonian dementia syndromes , 2015, Clinical and Translational Imaging.

[22]  Francesca Benuzzi,et al.  MRI Correlates of Parkinson's Disease Progression: A Voxel Based Morphometry Study , 2015, Parkinson's disease.

[23]  D. Leopold,et al.  Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited , 2014, Proceedings of the National Academy of Sciences.

[24]  Alan C. Evans,et al.  Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders , 2014, PLoS Comput. Biol..

[25]  K. Blennow,et al.  Accuracy of brain amyloid detection in clinical practice using cerebrospinal fluid β-amyloid 42: a cross-validation study against amyloid positron emission tomography. , 2014, JAMA neurology.

[26]  P. Svenningsson,et al.  Initial cognitive decline is associated with cortical thinning in early Parkinson disease , 2014, Neurology.

[27]  Henrik Zetterberg,et al.  CSF Aβ42 predicts early-onset dementia in Parkinson disease , 2014, Neurology.

[28]  Anna Varentsova,et al.  Development of a high angular resolution diffusion imaging human brain template , 2014, NeuroImage.

[29]  M. Jenkinson,et al.  Comprehensive morphometry of subcortical grey matter structures in early‐stage Parkinson's disease , 2014, Human brain mapping.

[30]  D. Weintraub,et al.  Impulsive and compulsive behaviors among Danish patients with Parkinson's disease: prevalence, depression, and personality. , 2014, Parkinsonism & related disorders.

[31]  Henry Kennedy,et al.  A Predictive Network Model of Cerebral Cortical Connectivity Based on a Distance Rule , 2013, Neuron.

[32]  Arthur W Toga,et al.  Association of cerebrospinal fluid β-amyloid 1-42, T-tau, P-tau181, and α-synuclein levels with clinical features of drug-naive patients with early Parkinson disease. , 2013, JAMA neurology.

[33]  Nick C Fox,et al.  Molecular nexopathies: a new paradigm of neurodegenerative disease , 2013, Trends in Neurosciences.

[34]  M. Jahanshahi,et al.  Executive dysfunction in Parkinson's disease: a review. , 2013, Journal of neuropsychology.

[35]  J. Trojanowski,et al.  CSF α-synuclein improves diagnostic and prognostic performance of CSF tau and Aβ in Alzheimer’s disease , 2013, Acta Neuropathologica.

[36]  Thomas R. Knösche,et al.  White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.

[37]  Mojtaba Zarei,et al.  Cortical thinning is associated with disease stages and dementia in Parkinson's disease , 2013, Journal of Neurology, Neurosurgery & Psychiatry.

[38]  B. Mollenhauer,et al.  Total CSF α-synuclein is lower in de novo Parkinson patients than in healthy subjects , 2013, Neuroscience Letters.

[39]  C. Olanow,et al.  Parkinson's Disease and Alpha Synuclein: Is Parkinson's Disease a Prion‐Like Disorder? , 2013, Movement disorders : official journal of the Movement Disorder Society.

[40]  E. Tolosa,et al.  Progression of cortical thinning in early Parkinson's disease , 2012, Movement disorders : official journal of the Movement Disorder Society.

[41]  J. Trojanowski,et al.  Pathological α-Synuclein Transmission Initiates Parkinson-like Neurodegeneration in Nontransgenic Mice , 2012, Science.

[42]  Nuria Bargallo,et al.  Assessment of cortical degeneration in patients with Parkinson's disease by voxel‐based morphometry, cortical folding, and cortical thickness , 2012, Human brain mapping.

[43]  John L. Robinson,et al.  Neuropathologic substrates of Parkinson disease dementia , 2012, Annals of neurology.

[44]  Olivier Salvado,et al.  Regional dynamics of amyloid-β deposition in healthy elderly, mild cognitive impairment and Alzheimer's disease: a voxelwise PiB-PET longitudinal study. , 2012, Brain : a journal of neurology.

[45]  M. Weiner,et al.  A Network Diffusion Model of Disease Progression in Dementia , 2012, Neuron.

[46]  Efstathios D. Gennatas,et al.  Predicting Regional Neurodegeneration from the Healthy Brain Functional Connectome , 2012, Neuron.

[47]  Harald Hampel,et al.  Diagnostic power of default mode network resting state fMRI in the detection of Alzheimer's disease , 2012, Neurobiology of Aging.

[48]  Patric Hagmann,et al.  Mapping the human connectome at multiple scales with diffusion spectrum MRI , 2012, Journal of Neuroscience Methods.

[49]  Alan C. Evans,et al.  Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex , 2012, NeuroImage.

[50]  A. Singleton,et al.  The Parkinson Progression Marker Initiative (PPMI) , 2011, Progress in Neurobiology.

[51]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.

[52]  Russell A. Poldrack,et al.  Large-scale automated synthesis of human functional neuroimaging data , 2011, Nature Methods.

[53]  Alan C. Evans,et al.  Where in-vivo imaging meets cytoarchitectonics: The relationship between cortical thickness and neuronal density measured with high-resolution [18F]flumazenil-PET , 2011, NeuroImage.

[54]  Alan C. Evans,et al.  Patterns of cortical thickness and surface area in early Parkinson's disease , 2011, NeuroImage.

[55]  Magda Tsolaki,et al.  The AddNeuroMed framework for multi‐centre MRI assessment of Alzheimer's disease : experience from the first 24 months , 2011, International journal of geriatric psychiatry.

[56]  D. Louis Collins,et al.  Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.

[57]  T. Südhof,et al.  α-Synuclein Promotes SNARE-Complex Assembly in Vivo and in Vitro , 2010, Science.

[58]  F. Binkofski,et al.  Structural imaging in the presymptomatic stage of genetically determined parkinsonism , 2010, Neurobiology of Disease.

[59]  K. Blennow,et al.  Confounding Factors Influencing Amyloid Beta Concentration in Cerebrospinal Fluid , 2010, International journal of Alzheimer's disease.

[60]  D. Head,et al.  Amyloid Plaques Disrupt Resting State Default Mode Network Connectivity in Cognitively Normal Elderly , 2010, Biological Psychiatry.

[61]  Aneeka M Hancock,et al.  DJ-1 and alpha-synuclein in human cerebrospinal fluid as biomarkers of Parkinson's disease. , 2010, Brain : a journal of neurology.

[62]  D. Aarsland,et al.  The epidemiology of dementia associated with Parkinson disease , 2010, Journal of the Neurological Sciences.

[63]  Nikolaus Weiskopf,et al.  A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging , 2009, NeuroImage.

[64]  C. Almli,et al.  Unbiased nonlinear average age-appropriate brain templates from birth to adulthood , 2009, NeuroImage.

[65]  B. Miller,et al.  Neurodegenerative Diseases Target Large-Scale Human Brain Networks , 2009, Neuron.

[66]  R. Camicioli,et al.  Voxel-based morphometry reveals extra-nigral atrophy patterns associated with dopamine refractory cognitive and motor impairment in parkinsonism. , 2009, Parkinsonism & related disorders.

[67]  J. Morris,et al.  The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals , 2008, Cerebral cortex.

[68]  G. Halliday,et al.  The Sydney multicenter study of Parkinson's disease: The inevitability of dementia at 20 years , 2008, Movement disorders : official journal of the Movement Disorder Society.

[69]  Pierrick Coupé,et al.  An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images , 2008, IEEE Transactions on Medical Imaging.

[70]  Lester Melie-García,et al.  Characterizing brain anatomical connections using diffusion weighted MRI and graph theory , 2007, NeuroImage.

[71]  Alan C. Evans,et al.  Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification , 2005, NeuroImage.

[72]  Bartlett W. Mel,et al.  Cortical rewiring and information storage , 2004, Nature.

[73]  Christos Davatzikos,et al.  Why voxel-based morphometric analysis should be used with great caution when characterizing group differences , 2004, NeuroImage.

[74]  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.

[75]  H. Braak,et al.  Staging of brain pathology related to sporadic Parkinson’s disease , 2003, Neurobiology of Aging.

[76]  H. Braak,et al.  Pathoanatomy of Parkinson’s disease , 2000, Journal of Neurology.

[77]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[78]  H. Braak,et al.  Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories , 1997, Neurobiology of Aging.

[79]  Karl J. Friston,et al.  A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.