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Improving the SIENA performance using BEaST brain extraction

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 ... ://doi.org/10.1016/j.neuroimage. 2011 . 09 .012 PMID: 21945694 . 7. Jack CR Jr., Bernstein MA , Fox NC , Thompson P , Alexander G , Harvey D , et al. The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI

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

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

the writing of the manuscript: ZX WP. 1. Jack CR , Bernstein MA , Fox NC , Thompson P , Alexander G , et al. ( 2008 ) The alzheimer's disease neuroimaging initiative (adni): Mri methods . Journal of

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

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 ... murine AA amyloidosis by oral administration of amyloid fibrils extracted from different species . Pathol Int 52 ( 4 ): 264 . 96. Jagust W , Bandy D , Chen K , Foster N , Landau S , et al. ( 2010 ) The

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

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 ... structural mri images in alzheimer's disease from the perspective of ill-posed problems . PLoS ONE 7 : e44877 . 30. Liu M , Zhang D , Shen D ,for the Alzheimer's Disease Neuroimaging Initiative ( 2012

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 ... . ( 2010 ) The Alzheimer's disease neuroimaging initiative: progress report and future plans . Alzheimers Dement 6 : 202 - 211 e207. 12. Smith SM ( 2002 ) Fast robust automated brain extraction . Hum Brain

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 ... ). Clinical characterization . Neurology. 35. 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

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...

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

Knowledge-Guided Robust MRI Brain Extraction for Diverse Large-Scale Neuroimaging Studies on Humans and Non-Human Primates

, Thal LJ , Petersen RC , Jack C , et al. ( 2005 ) The Alzheimer's Disease Neuroimaging Initiative . Neuroimaging clinics of North America 15: 869 - 877 . 7. Marcus DS , Wang TH , Parker J , Csernansky JG ... Alzheimer's disease neuroimaging initiative (ADNI): MRI methods . Journal of Magnetic Resonance Imaging 27 : 685 - 691 . 38. Sled JG , Zijdenbos AP , Evans AC ( 1998 ) A nonparametric method for automatic

Age Correction in Dementia – Matching to a Healthy Brain

In recent research, many univariate and multivariate approaches have been proposed to improve automatic classification of various dementia syndromes using imaging data. Some of these methods do not provide the possibility to integrate possible confounding variables like age into the statistical evaluation. A similar problem sometimes exists in clinical studies, as it is not...

Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets

Consortium,” Alzheimer's and Dementia, vol. 4, no. 4, pp. 255–264, 2008. View at Publisher · View at Google Scholar · View at ScopusC. R. Jack Jr., M. A. Bernstein, N. C. Fox et al., “The Alzheimer's Disease ... Neuroimaging Initiative (ADNI): MRI methods,” Journal of Magnetic Resonance Imaging, vol. 27, no. 4, pp. 685–691, 2008. View at Publisher · View at Google Scholar · View at ScopusB. Aubert-Broche, A. C. Evans

Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets

Consortium,” Alzheimer's and Dementia, vol. 4, no. 4, pp. 255–264, 2008. View at Publisher · View at Google Scholar · View at ScopusC. R. Jack Jr., M. A. Bernstein, N. C. Fox et al., “The Alzheimer's Disease ... Neuroimaging Initiative (ADNI): MRI methods,” Journal of Magnetic Resonance Imaging, vol. 27, no. 4, pp. 685–691, 2008. View at Publisher · View at Google Scholar · View at ScopusB. Aubert-Broche, A. C. Evans

Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets

Consortium,” Alzheimer's and Dementia, vol. 4, no. 4, pp. 255–264, 2008. View at Publisher · View at Google Scholar · View at ScopusC. R. Jack Jr., M. A. Bernstein, N. C. Fox et al., “The Alzheimer's Disease ... Neuroimaging Initiative (ADNI): MRI methods,” Journal of Magnetic Resonance Imaging, vol. 27, no. 4, pp. 685–691, 2008. View at Publisher · View at Google Scholar · View at ScopusB. Aubert-Broche, A. C. Evans