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Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation

Carole H. Sudre, M. Jorge Cardoso, Willem H. Bouvy, Geert Jan Biessels, Josephine Barnes, Sebastien Ourselin
2015 IEEE Transactions on Medical Imaging  
Index Terms: Bayesian inference criterion (BIC), brain segmentation, Gaussian mixture model (GMM), magnetic resonance imaging (MRI), split-and-merge (SM) strategy, white matter lesion (WML).  ...  Its application on simulated and clinical data demonstrated the ability to detect abnormal intensity clusters, resulting in a competitive to improved behavior in white matter lesion segmentation when compared  ...  white matter changes.  ... 
doi:10.1109/tmi.2015.2419072 pmid:25850086 fatcat:bmdeyicdhrbxtaezlyqkdrkkma

Characterization of White Matter Hyperintensities in Large-Scale MRI-Studies

Benedikt M. Frey, Marvin Petersen, Carola Mayer, Maximilian Schulz, Bastian Cheng, Götz Thomalla
2019 Frontiers in Neurology  
White matter hyperintensities of presumed vascular origin (WMH) are a common finding in elderly people and a growing social malady in the aging western societies.  ...  In conclusion, WMH research is a vivid field with a need for further standardization regarding definitions and used methods.  ...  In an analysis of 1,144 studies dealing with WMH research, 275 used a variant term to "white matter hyperintensity" in their titles or abstracts (4).  ... 
doi:10.3389/fneur.2019.00238 pmid:30972001 pmcid:PMC6443932 fatcat:n45fokgg6rbddjieiampype4ju

White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration

Benjamin M. Kandel, Brian B. Avants, James C. Gee, Corey T. McMillan, Guray Erus, Jimit Doshi, Christos Davatzikos, David A. Wolk
2016 Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring  
The objective of this study was to evaluate whether white matter hyperintensity (WMH) volume, a cerebrovascular disease marker, is more associated with preclinical AD than conventional AD biomarkers and  ...  cognitive tests.  ...  Logistic regression using a logit link function was used to assess the relationship between white matter hyperintensities and presence of cerebral Ab.  ... 
doi:10.1016/j.dadm.2016.03.001 pmid:27489875 pmcid:PMC4950175 fatcat:adchukk7djbdpkiu7lstg7iosy

Progression of MRI markers in cerebral small vessel disease: Sample size considerations for clinical trials

Philip Benjamin, Eva Zeestraten, Christian Lambert, Irina Chis Ster, Owen A Williams, Andrew J Lawrence, Bhavini Patel, Andrew D MacKinnon, Thomas R Barrick, Hugh S Markus
2015 Journal of Cerebral Blood Flow and Metabolism  
We evaluated the change in brain volume, T2 white matter hyperintensity (WMH) volume, lacunes, and white matter damage on diffusion tensor imaging (DTI).  ...  Data from the prospective SCANS (St George's Cognition and Neuroimaging in Stroke) study of patients with symptomatic lacunar stroke and confluent leukoaraiosis was used (n ¼ 121).  ...  Acknowledgement The authors thank Dr Lalit Kalra and Dr Tony Rudd for help with recruitment. The authors also thank Dr Thomas Willis for assistance with neuropsychologic assessment.  ... 
doi:10.1038/jcbfm.2015.113 pmid:26036939 pmcid:PMC4758545 fatcat:hfon75emvfaiza5ottt5t6udne

Impact of white matter hyperintensity location on depressive symptoms in memory-clinic patients: a lesion–symptom mapping study

Anna E. Leeuwis, Nick A. Weaver, J. Matthijs Biesbroek, Lieza G. Exalto, Hugo J. Kuijf, Astrid M. Hooghiemstra, Niels D. Prins, Philip Scheltens, Frederik Barkhof, Wiesje M. van der Flier, Geert Jan Biessels, TRACE-VCI study group
2019 Journal of Psychiatry & Neuroscience  
We investigated the association between white matter hyperintensity location and depressive symptoms in a memoryclinic population using lesion–symptom mapping.  ...  Automated white matter hyperintensity segmentation was performed using the k nearest neighbour classification with tissue type priors (kNN-TTPs) method. 23 This method showed no systematic errors across  ...  In addition, the use of data from different MRI scanners could have influenced the quality of the white matter hyperintensity segmentations and subsequent analyses.  ... 
doi:10.1503/jpn.180136 pmid:31021068 pmcid:PMC6606429 fatcat:5nynva3m5fayjjeclazq2zxj6i

White matter hyperintensities and their relationship to cognition: Effects of segmentation algorithm

Meral A. Tubi, Franklin W. Feingold, Deydeep Kothapalli, Evan T. Hare, Kevin S. King, Paul M. Thompson, Meredith N. Braskie
2019 NeuroImage  
White matter hyperintensities (WMHs) are brain white matter lesions that are hyperintense on fluid attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) scans.  ...  Manual and automated programs are typically used to determine segmentation boundaries, but criteria for those boundaries can differ.  ...  ADNI is funded by the National Institute of Biomedical Imaging and Bioengineering, the National Institute on Aging, and through generous support from the following:  ... 
doi:10.1016/j.neuroimage.2019.116327 pmid:31682983 pmcid:PMC6981030 fatcat:oe2z3ihfvjgsfnk2qrxvqd2244

Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review

Maria Eugenia Caligiuri, Paolo Perrotta, Antonio Augimeri, Federico Rocca, Aldo Quattrone, Andrea Cherubini
2015 Neuroinformatics  
White matter hyperintensities (WMH) are commonly seen in the brain of healthy elderly subjects and patients with several neurological and vascular disorders.  ...  In this paper, we review and compare the large number of automated approaches proposed for segmentation of WMH in the elderly and in patients with vascular risk factors.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s)  ... 
doi:10.1007/s12021-015-9260-y pmid:25649877 pmcid:PMC4468799 fatcat:ce7pdxj5qrepdldsf6gpf6zdyy

Early-Stage MRI Volumetric Differences in White Matter Hyperintensity and Temporal Lobe Volumes between Autopsy-Confirmed Alzheimer's Disease, Cerebral Small Vessel Disease, and Mixed Pathologies

Dixon Yang, Arjun Masurkar
2022 Dementia and Geriatric Cognitive Disorders Extra  
At mild cognitive impairment (MCI), we investigated brain MRI volumetric differences in white matter hyperintensities (WMH), frontal and temporal lobe volumes between neuropathologically defined groups  ...  We compared WMH and frontal and temporal lobe volumes between neuropathology groups using regression analysis.  ...  Mean and standard deviation intensities of each tissue type are calculated and used as initial parameters for the automated segmenter, which undergoes multiple iterations with a Markov Random Field model  ... 
doi:10.1159/000524499 pmid:35702161 pmcid:PMC9149438 fatcat:ju6agsptw5cixe5ubyr5vn6wlq

Memory Dysfunction in Type 2 Diabetes Mellitus Correlates with Reduced Hippocampal CA1 and Subiculum Volumes

Jian Wang, Yan-Wei Zhang, Jiu-Quan Zhang, Chen Liu, Ping Wei, Xiao Zhang, Qiao-Ying Yuan, Xun-Tao Yin, Lu-Qing Wei, Jin-Guo Cui
2015 Chinese Medical Journal  
We used Mini-Mental State Examination and Montreal Cognitive Assessment (MoCA) scores as measures of cognitive performance.  ...  Our aims were to assess the in vivo volumes of SDGM structures and hippocampal subfi elds using magnetic resonance imaging (MRI) and to test their associations with cognitive performance in T2DM.  ...  [19] Hippocampal subfield segmentation Automated segmentation of the hippocampus into its respective subfi elds was performed using Bayesian inference and a statistical model of the medial temporal  ... 
doi:10.4103/0366-6999.151082 pmid:25673447 pmcid:PMC4836248 fatcat:ngzfbxotrvf3bjza3q7zjehehm

Plasma biosignature and brain pathology related to persistent cognitive impairment in late-life depression

B S Diniz, E Sibille, Y Ding, G Tseng, H J Aizenstein, F Lotrich, J T Becker, O L Lopez, M T Lotze, W E Klunk, C F Reynolds, M A Butters
2014 Molecular Psychiatry  
Individuals with LLD+MCI also showed greater white matter hyperintensity burden compared with LLD+NC (P = 0.015).  ...  To this end, we used a data-driven comprehensive proteomic analysis (multiplex immunoassay including 242 proteins), along with measures of structural brain abnormalities (gray matter atrophy and white  ...  Automated Segmentation Tool) with a 3-tissue model (gray, white, and cerebrospinal fluid).  ... 
doi:10.1038/mp.2014.76 pmid:25092249 pmcid:PMC4494754 fatcat:mck76qpevvg5plrfpplwpm4a7m

The effect of vascular health factors on white matter microstructure mediates age-related differences in executive function performance

David A. Hoagey, Linh T.T. Lazarus, Karen M. Rodrigue, Kristen M. Kennedy
2021 Cortex  
completed an MRI scanning session that included FLAIR imaging for semi-automated quantification of white matter hyperintensity burden and diffusion-weighted imaging for tractography.  ...  pressure (BP) and white matter hyperintensity (WMH) burden influences this association.  ...  We thank Samantha Owens for assistance with white matter hyperintensity measurements and visual inspection.  ... 
doi:10.1016/j.cortex.2021.04.016 pmid:34130048 pmcid:PMC8319097 fatcat:w264jx4mazbilgu75xkjjlmgju

Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes

Yun Wang, Chenxiao Xu, Ji-Hwan Park, Seonjoo Lee, Yaakov Stern, Shinjae Yoo, Jong Hun Kim, Hyoung Seop Kim, Jiook Cha
2019 NeuroImage: Clinical  
: 97% accuracy) in NHIS-IH cohort, outperforming a benchmark model (FLAIR-based white matter hyperintensity volumes).  ...  We used, firstly, a clinical cohort at a dementia clinic (National Health Insurance Service-Ilsan Hospital [NHIS-IH]; N = 211; 110 AD, 64 mild cognitive impairment [MCI], and 37 cognitively normal with  ...  Acknowledgments This work used the Extreme Science and Engineering Discovery Environment Stampede 2 at the Texas Advanced Computing Center (TG-IBN170015: Cha) and Argonne National Laboratory Leadership  ... 
doi:10.1016/j.nicl.2019.101859 pmid:31150957 pmcid:PMC6541902 fatcat:zurwgrw5vjbffomv6l6lts7gcy

Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation [article]

Parisa Mojiri Forooshani, Mahdi Biparva, Emmanuel E. Ntiri, Joel Ramirez, Lyndon Boone, Melissa F. Holmes, Sabrina Adamo, Fuqiang Gao, Miracle Ozzoude, Christopher J.M. Scott, Dar Dowlatshahi, Jane M. Lawrence-Dewar (+15 others)
2021 bioRxiv   pre-print
White matter hyperintensities (WMH) are frequently observed on structural neuroimaging of elderly populations and are associated with cognitive decline and increased risk of dementia.  ...  Given these concerns, we propose a novel Bayesian 3D Convolutional Neural Network (CNN) with a U-Net architecture that automatically segments WMH, provides uncertainty estimates of the segmentation output  ...  This research was conducted with the support of the Ontario Brain Institute, an independent non-profit corporation, funded partially by the Ontario government.  ... 
doi:10.1101/2021.08.18.456666 fatcat:bnubw7he4nf2pk77ljn7blj27m

White matter hyperintensities correlate to cognition and fiber tract integrity in older adults with HIV

Christa Watson, Edgar Busovaca, Jessica M. Foley, I. Elaine Allen, Christopher G. Schwarz, Neda Jahanshad, Talia M. Nir, Pardis Esmaeili-Firidouni, Benedetta Milanini, Howard Rosen, Owen T. Carmichael, Paul M. Thompson (+1 others)
2017 Journal of Neurovirology  
Our aim was to examine the clinical relevance of white matter hyperintensities (WMH) in HIV.  ...  We also assessed correlations between WMH volumes and cardiovascular, HIV severity, cognitive scores, and diffusion tensor imaging variables.  ...  Introduction White matter hyperintensities (WMH) become more common with age in HIV-uninfected (HIV−) adults and are thought to relate to vascular, inflammatory, or blood brain barrier changes (Maniega  ... 
doi:10.1007/s13365-016-0509-5 pmid:28101804 pmcid:PMC5826904 fatcat:g5o3vdwbbfdelhbt5y7mta7r7q

Multimodal magnetic resonance imaging in relation to cognitive impairment in neuromyelitis optica spectrum disorder

Su-Hyun Kim, Eun Young Park, Boram Park, Jae-Won Hyun, Na Young Park, AeRan Joung, Sang Hyun Lee, Ho Jin Kim
2017 Scientific Reports  
One study found that global and focal white matter (WM) atrophy, but not gray matter (GM) atrophy, is correlated with cognitive impairment 8 .  ...  Brain lesion load, gray matter (GM) and white matter (WM) atrophy, deep GM (DGM) atrophy, cortical thickness, and diffuse microstructural WM damage were assessed.  ...  Final multivariate model was determined using backward selection method with elimination criterion of p-value > 0.05.  ... 
doi:10.1038/s41598-017-08889-9 pmid:28835657 pmcid:PMC5569012 fatcat:bpyrh5nd4naqhld6zjmepmkob4
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