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Improving the SIENA performance using BEaST brain extraction

Alzheimer's Disease Neuroimaging Initiative 1 2 0 McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University , Montreal, Quebec , Canada , 2 Department of Biomedical Engineering, Lerner ... grant. Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of

Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization

The brain is a complex high-order system. Body movements or mental activities are both dependent on the transmission of information among billions of neurons. However, potential patterns are hardly discoverable due to the high dimensionality in neural signals. Previous studies have identified rotary trajectories in rhythm and nonrhythm movements when projecting the neural...

Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization

The brain is a complex high-order system. Body movements or mental activities are both dependent on the transmission of information among billions of neurons. However, potential patterns are hardly discoverable due to the high dimensionality in neural signals. Previous studies have identified rotary trajectories in rhythm and nonrhythm movements when projecting the neural...

The development of a stochastic mathematical model of Alzheimer’s disease to help improve the design of clinical trials of potential treatments

to assist in the improvement of trial design and enhance the chances of success of potential new therapies. Based on the analysis of a set of clinical data provided by the Alzheimer's Disease ... distributions of the Markov model we describe are estimated using a particular longitudinal cohort dataset provided by the Alzheimer's Disease Neuroimaging Initiative (ADNI, adni.loni.usc.edu). Material and

BRAPH: A graph theory software for the analysis of brain connectivity

-specimens/downloaddata/) websites. Funding: Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Parkinson's Progression Markers ... the differences in global and nodal network topology in healthy controls, patients with amnestic MCI, and patients with AD (see Table 1) from the Alzheimer's Disease Neuroimaging Initiative (ADNI

Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification

project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI 2 Editor: Karl Herholz, University of Manchester , UNITED KINGDOM ... declared that no competing interests exist. Abbreviations: ADAS-Cog, Alzheimer's Disease Assessment Scale–Cognitive sub-scale; ADNI, Alzheimer's Disease Neuroimaging Initiative; APOE, apolipoprotein E; AUC

Longitudinal Analysis Is More Powerful than Cross-Sectional Analysis in Detecting Genetic Association with Neuroimaging Phenotypes

Disease Neuroimaging Initiative (ADNI), collect phenotypic information at multiple time points. In this article, as a case study, we conducted both longitudinal and cross-sectional analyses of the ADNI data ... association analyses are cross-sectional, utilizing only phenotypic data at a single time point, e.g. baseline. On the other hand, longitudinal studies, such as Alzheimer's Disease Neuroimaging Initiative (ADNI

Directed Network Motifs in Alzheimer’s Disease and Mild Cognitive Impairment

, Thompson P , Alexander G , et al. ( 2008 ) The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods . J Magn Reson Imaging 27 : 685 - 691 . Available: http:// www.pubmedcentral. nih.gov ... physical connections from dMRI and KY, and with resources of the Veterans Affairs Medical Center, San Francisco, California. Data collection and sharing for this project was funded by the Alzheimer's Disease

Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders

M et al. ( 2009 ) Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects . Ann Neurol 65 : 403 - 413 . 69. Jack CR Jr, Knopman DS , Jagust WJ et al. ( 2010 ... Alzheimer's disease neuroimaging initiative positron emission tomography core . Alzheimers Dement 6 : 221 - 229 . 97. Evans A , Kamber M , Collins D , Macdonald D ( 1994 ) An MRI-based probabilistic atlas of

An Efficient Approach for Differentiating Alzheimer's Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features

possible measure of Alzheimer's disease progression validated using the Alzheimer's disease neuroimaging initiative database . Brain 131 : 2443 - 2454 . 68. Cuingnet R , Gerardin E , Tessieras J , Auzias G

Right Anterior Insula: Core Region of Hallucinations in Cognitive Neurodegenerative Diseases

: Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National ... , Thompson P , Alexander G , et al. ( 2008 ) The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods . J Magn Reson Imaging 27 : 685 - 691 . 26. Langbaum JB , Chen K , Lee W , Reschke C , Bandy D

Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers

: 397 - 405 . 7. Shaw LM , Vanderstichele H , Knapik-Czajka M , Clark CM , Aisen PS , et al. ( 2009 ) Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects . Ann ... Initiative 0 Kewei Chen, Banner Alzheimer's Institute, United States of America 0 1 Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel

Automatic ROI Selection in Structural Brain MRI Using SOM 3D Projection

computes the relative importance of each ROI by means of its discriminative power. The devised method has been assessed using 818 images from the Alzheimer's disease Neuroimaging Initiative (ADNI) which were ... detectable up to ten years before clinical alzheimer's disease . Neurobioly Aging 33 : 25 - 36 . 29. Casanova R , Hsu FC , Espeland MA , Alzheimer's Disease Neuroimaging Initiative ( 2012 ) Classification of

BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease

clinical use of structural MRI in Alzheimer disease . Nat Rev Neurol 6 : 67 - 77 . 25. Franke K , Ziegler G , Klo ppel S , Gaser C , the Alzheimer's Disease Neuroimaging Initiative ( 2010 ) Estimating the ... disease neuroimaging initiative subjects . Ann Neurol 65 : 403 - 413 . 20. Hesse C , Rosengren L , Andreasen N , Davidsson P , Vanderstichele H , et al. ( 2001 ) Transient increase in total tau but not

Structural Interactions within the Default Mode Network Identified by Bayesian Network Analysis in Alzheimer’s Disease

. Jack CR , Bernstein MA , Fox NC , Thompson P , Alexander G , et al. ( 2008 ) The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods . Journal of Magnetic Resonance Imaging 27 : 6852691 . 35

Differential White Matter Connectivity in Early Mild Cognitive Impairment According to CSF Biomarkers

evidence for the differences in white matter connectivity between early amnestic MCI (EMCI) subgroups according to a CSF phosphorylated tau181p/amyloid beta1–42 ratio of 0.10. From the Alzheimer's Disease ... . ( 2009 ) Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects . Ann Neurol 65 : 403 - 413 . 6. Parnetti L , Chiasserini D , Eusebi P , Giannandrea D , Bellomo G

Classification of Structural MRI Images in Alzheimer's Disease from the Perspective of Ill-Posed Problems

and the type of machine learning method. " Membership of the Alzheimer's Disease Neuroimaging Initiative is provided in the Acknowledgments - Funding: This work was supported by the National Heart ... images to continuous clinical variables . Neuroimage 50 : 1519 - 1535 . 34. Petersen RC , Aisen PS , Beckett LA , Donohue MC , Gamst AC , et al. ( 2009 ) Alzheimer's Disease Neuroimaging Initiative (ADNI

A Longitudinal Study of Atrophy in Amnestic Mild Cognitive Impairment and Normal Aging Revealed by Cortical Thickness

In recent years, amnestic mild cognitive impairment (aMCI) has attracted significant attention as an indicator of high risk for Alzheimer's disease. An understanding of the pathology of aMCI may benefit the development of effective clinical treatments for dementia. In this work, we measured the cortical thickness of 109 aMCI subjects and 99 normal controls (NC) twice over two...

Cerebrospinal fluid markers including trefoil factor 3 are associated with neurodegeneration in amyloid-positive individuals

outlining subject inclusion is provided in Figure 1 Figure 1 Subjects included in analysis. ADNI, Alzheimer's Disease Neuroimaging Initiative; CSF, cerebrospinal fluid. Full size image The ... . CASPubMedArticleGoogle Scholar11. Shaw LM, Vanderstichele H, Knapik-Czajka M, Clark CM, Aisen PS, Petersen RC et al. Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects. Ann

APOE ε4 Is Associated with Disproportionate Progressive Hippocampal Atrophy in AD

. Neurology 75 : 1976 - 1981 . 27. Jack CR Jr, Bernstein MA , Fox NC , Thompson P , Alexander G , et al. ( 2008 ) The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods . J Magn Reson Imaging 27 ... Disease NeuroImaging Initiative 0 1 Christopher Mark Norris, Univ. Kentucky, United States of America 0 Kingdom, 3 Department of Medical Statistics, London School of Hygiene and Tropical Medicine , London