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https://www.readbyqxmd.com/read/28550246/plasma-tau-association-with-brain-atrophy-in-mild-cognitive-impairment-and-alzheimer-s-disease
#1
Kacie D Deters, Shannon L Risacher, Sungeun Kim, Kwangsik Nho, John D West, Kaj Blennow, Henrik Zetterberg, Leslie M Shaw, John Q Trojanowski, Michael W Weiner, Andrew J Saykin
BACKGROUND: Peripheral (plasma) and central (cerebrospinal fluid, CSF) measures of tau are higher in Alzheimer's disease (AD) relative to prodromal stages and controls. While elevated CSF tau concentrations have been shown to be associated with lower grey matter density (GMD) in AD-specific regions, this correlation has yet to be examined for plasma in a large study. OBJECTIVE: Determine the neuroanatomical correlates of plasma tau using voxel-based analysis. METHODS: Cross-sectional data for 508 ADNI participants were collected for clinical, plasma total-tau (t-tau), CSF amyloid (Aβ42) and tau, and MRI variables...
May 25, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28541903/alzheimer-s-disease-classification-based-on-individual-hierarchical-networks-constructed-with-3d-texture-features
#2
Jin Liu, Jianxin Wang, Bin Hu, Fang-Xiang Wu, Yi Pan
Brain network plays an important role in representing abnormalities in Alzheimers disease (AD) and mild cognitive impairment (MCI), which includes MCIc (MCI converted to AD) and MCInc (MCI not converted to AD). In our previous study, we proposed an AD classification approach based on individual hierarchical networks constructed with 3D texture features of brain images. However, we only used edge features of the networks without node features of the networks. In this study, we propose a framework of the combination of multiple kernels to combine edge features and node features for AD classification...
May 23, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28539126/knowledge-driven-binning-approach-for-rare-variant-association-analysis-application-to-neuroimaging-biomarkers-in-alzheimer-s-disease
#3
Dokyoon Kim, Anna O Basile, Lisa Bang, Emrin Horgusluoglu, Seunggeun Lee, Marylyn D Ritchie, Andrew J Saykin, Kwangsik Nho
BACKGROUND: Rapid advancement of next generation sequencing technologies such as whole genome sequencing (WGS) has facilitated the search for genetic factors that influence disease risk in the field of human genetics. To identify rare variants associated with human diseases or traits, an efficient genome-wide binning approach is needed. In this study we developed a novel biological knowledge-based binning approach for rare-variant association analysis and then applied the approach to structural neuroimaging endophenotypes related to late-onset Alzheimer's disease (LOAD)...
May 18, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28534798/alzheimer-s-disease-diagnosis-using-landmark-based-features-from-longitudinal-structural-mr-images
#4
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
Structural magnetic resonance imaging (MRI) has been proven to be an effective tool for Alzheimer's disease (AD) diagnosis. While conventional MRI-based AD diagnosis typically uses images acquired at a single time point, a longitudinal study is more sensitive in detecting early pathological changes of AD, making it more favorable for accurate diagnosis. In general, there are two challenges faced in MRI-based diagnosis. First, extracting features from structural MR images requires timeconsuming nonlinear registration and tissue segmentation, whereas the longitudinal study with involvement of more scans further exacerbates the computational costs...
May 16, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28534796/predicting-progression-from-mild-cognitive-impairment-to-alzheimer-s-disease-using-autoregressive-modelling-of-longitudinal-and-multimodal-biomarkers
#5
Sidra Minhas, Aasia Khanum, Farhan Riaz, Shoab Khan, Atif Alvi
Mild Cognitive Impairment is a preclinical stage of Alzheimer's disease (AD). For effective treatment of AD, it is important to identify MCI patients who are at a high risk of developing AD over the course of time. İn this study, autoregressive modelling of multiple heterogeneous predictors of Alzheimer's dısease is performed to capture their evolution over time. The models are trained using three different arrangements of longitudinal data. These models are then used to estimate future biomarker readings of individual test subjects...
May 16, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28530001/structured-sparse-low-rank-regression-model-for-brain-wide-and-genome-wide-associations
#6
Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
With the advances of neuroimaging techniques and genome sequences understanding, the phenotype and genotype data have been utilized to study the brain diseases (known as imaging genetics). One of the most important topics in image genetics is to discover the genetic basis of phenotypic markers and their associations. In such studies, the linear regression models have been playing an important role by providing interpretable results. However, due to their modeling characteristics, it is limited to effectively utilize inherent information among the phenotypes and genotypes, which are helpful for better understanding their associations...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28503250/localizing-sources-of-brain-disease-progression-with-network-diffusion-model
#7
Chenhui Hu, Xue Hua, Jun Ying, Paul M Thompson, Georges E Fakhri, Quanzheng Li
Pinpointing the sources of dementia is crucial to the effective treatment of neurodegenerative diseases. In this paper, we propose a diffusion model with impulsive sources over the brain connectivity network to model the progression of brain atrophy. To reliably estimate the atrophy sources, we impose sparse regularization on the source distribution and solve the inverse problem with an efficient gradient descent method. We localize the possible origins of Alzheimer's disease (AD) based on a large set of repeated magnetic resonance imaging (MRI) scans in Alzheimer's Disease Neuroimaging Initiative (ADNI) database...
October 2016: IEEE Journal of Selected Topics in Signal Processing
https://www.readbyqxmd.com/read/28487004/longitudinal-trajectories-of-informant-reported-daily-functioning-in-empirically-defined-subtypes-of-mild-cognitive-impairment
#8
Kelsey R Thomas, Emily C Edmonds, Lisa Delano-Wood, Mark W Bondi
OBJECTIVES: Within the Alzheimer's Disease Neuroimaging Initiative (ADNI)'s mild cognitive impairment (MCI) cohort, we previously identified MCI subtypes as well as participants initially diagnosed with MCI but found to have normal neuropsychological, biomarker, and neuroimaging profiles. We investigated the functional change over time in these empirically derived MCI subgroups. METHODS: ADNI MCI participants (n=654) were classified using cluster analysis as Amnestic MCI (single-domain memory impairment), Dysnomic MCI (memory+language impairments), Dysexecutive/Mixed MCI (memory+language+attention/executive impairments), or Cluster-Derived Normal (CDN)...
May 10, 2017: Journal of the International Neuropsychological Society: JINS
https://www.readbyqxmd.com/read/28479476/high-resolution-magnetic-resonance-imaging-reveals-nuclei-of-the-human-amygdala-manual-segmentation-to-automatic-atlas
#9
Z M Saygin, D Kliemann, J E Iglesias, A J W van der Kouwe, E Boyd, M Reuter, A Stevens, K Van Leemput, A McKee, M P Frosch, B Fischl, J C Augustinack
The amygdala is composed of multiple nuclei with unique functions and connections in the limbic system and to the rest of the brain. However, standard in vivo neuroimaging tools to automatically delineate the amygdala into its multiple nuclei are still rare. By scanning postmortem specimens at high resolution (100-150µm) at 7T field strength (n = 10), we were able to visualize and label nine amygdala nuclei (anterior amygdaloid, cortico-amygdaloid transition area; basal, lateral, accessory basal, central, cortical medial, paralaminar nuclei)...
May 4, 2017: NeuroImage
https://www.readbyqxmd.com/read/28453478/functional-reserve-experience-participating-in-instrumental-activities-of-daily-living-is-associated-with-gender-and-functional-independence-in-mild-cognitive-impairment
#10
Courtney Berezuk, Konstantine K Zakzanis, Joel Ramirez, Anthony C Ruocco, Jodi D Edwards, Brandy L Callahan, Sandra E Black
BACKGROUND: Gender differences in instrumental activities of daily living (IADLs) in mild cognitive impairment (MCI) and Alzheimer's disease may be explained by gender differences in IADL involvement. OBJECTIVE: We introduce a novel theoretical construct, termed functional reserve, and empirically examine gender differences in IADL experience as a proxy of this reserve. METHODS: We cross-sectionally examined men (n = 502) and women (n = 340) with MCI from the Alzheimer's Disease Neuroimaging Initiative (ADNI)...
2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28441967/comparison-of-csf-markers-and-semi-quantitative-amyloid-pet-in-alzheimer-s-disease-diagnosis-and-in-cognitive-impairment-prognosis-using-the-adni-2-database
#11
Fayçal Ben Bouallègue, Denis Mariano-Goulart, Pierre Payoux
BACKGROUND: The relative performance of semi-quantitative amyloid positron emission tomography (PET) and cerebrospinal fluid (CSF) markers in diagnosing Alzheimer's disease (AD) and predicting the cognitive evolution of patients with mild cognitive impairment (MCI) is still debated. METHODS: Subjects from the Alzheimer's Disease Neuroimaging Initiative 2 with complete baseline cognitive assessment (Mini Mental State Examination, Clinical Dementia Rating [CDR] and Alzheimer's Disease Assessment Scale-Cognitive Subscale [ADAS-cog] scores), CSF collection (amyloid-β1-42 [Aβ], tau and phosphorylated tau) and (18)F-florbetapir scans were included in our cross-sectional cohort...
April 26, 2017: Alzheimer's Research & Therapy
https://www.readbyqxmd.com/read/28438167/dependency-criterion-based-brain-pathological-age-estimation-of-alzheimer-s-disease-patients-with-mr-scans
#12
Yongming Li, Yuchuan Liu, Pin Wang, Jie Wang, Sha Xu, Mingguo Qiu
OBJECTIVES: Traditional brain age estimation methods are based on the idea that uses the real age as the training label. However, these methods ignore that there is a deviation between the real age and the brain age due to the accelerated brain aging. METHODS: This paper considers this deviation and obtains it by maximizing the correlation between the estimated brain age and the class label rather than by minimizing the difference between the estimated brain age and the real age...
April 24, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28436391/prediction-of-conversion-to-alzheimer-s-disease-with-longitudinal-measures-and-time-to-event-data
#13
Kan Li, Wenyaw Chan, Rachelle S Doody, Joseph Quinn, Sheng Luo
BACKGROUND: Identifying predictors of conversion to Alzheimer's disease (AD) is critically important for AD prevention and targeted treatment. OBJECTIVE: To compare various clinical and biomarker trajectories for tracking progression and predicting conversion from amnestic mild cognitive impairment to probable AD. METHODS: Participants were from the ADNI-1 study. We assessed the ability of 33 longitudinal biomarkers to predict time to AD conversion, accounting for demographic and genetic factors...
2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28435933/the-c677t-variant-in-mthfr-modulates-associations-between-brain-integrity-mood-and-cognitive-functioning-in-old-age
#14
Florence F Roussotte, Xue Hua, Katherine L Narr, Gary W Small, Paul M Thompson
INTRODUCTION: The C677T functional variant in the methylene-tetrahydrofolate reductase (MTHFR) gene leads to reduced enzymatic activity and elevated blood levels of homocysteine. Hyperhomocysteinemia has been linked with higher rates of cardiovascular diseases, cognitive decline, and late-life depression. METHODS AND MATERIALS: Here, 3D magnetic resonance imaging data was analyzed from 738 individuals (age: 75.5 ± 6.8 years; 438 men/300 women) including 173 Alzheimer's patients, 359 subjects with mild cognitive impairment, and 206 healthy older adults, scanned as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI)...
April 2017: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/28428742/a-set-based-mixed-effect-model-for-gene-environment-interaction-and-its-application-to-neuroimaging-phenotypes
#15
Changqing Wang, Jianping Sun, Bryan Guillaume, Tian Ge, Derrek P Hibar, Celia M T Greenwood, Anqi Qiu
Imaging genetics is an emerging field for the investigation of neuro-mechanisms linked to genetic variation. Although imaging genetics has recently shown great promise in understanding biological mechanisms for brain development and psychiatric disorders, studying the link between genetic variants and neuroimaging phenotypes remains statistically challenging due to the high-dimensionality of both genetic and neuroimaging data. This becomes even more challenging when studying gene-environment interaction (G×E) on neuroimaging phenotypes...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28428015/plasma-neurofilament-light-chain-levels-in-alzheimer-s-disease
#16
Wenjun Zhou, Jie Zhang, Fanlong Ye, Guangzheng Xu, Hang Su, Yindan Su, Xiangyang Zhang
Plasma neurofilament light (NFL) levels may be a marker of neuronal injury. We examined whether plasma NFL might be a potential biomarker for the prodromal and dementia stages of AD. Participants included 193 cognitively normal (CN), 198 amnestic mild cognitive impairment (aMCI) and 187 Alzheimer's disease (AD) individuals enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Plasma NFL levels were examined by the Single Molecule array (Simoa) technique. Our results showed significantly increased plasma NFL levels in both AD (50...
April 18, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28419235/a-bayesian-group-sparse-multi-task-regression-model-for-imaging-genetics
#17
Keelin Greenlaw, Elena Szefer, Jinko Graham, Mary Lesperance, Farouk S Nathoo
Motivation: Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. Wang et al. (Bioinformatics, 2012) have developed an approach for the analysis of imaging genomic studies using penalized multi-task regression with regularization based on a novel group l2,1-norm penalty which encourages structured sparsity at both the gene level and SNP level. While incorporating a number of useful features, the proposed method only furnishes a point estimate of the regression coefficients; techniques for conducting statistical inference are not provided...
April 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28408865/tau-pathology-distribution-in-alzheimer-s-disease-corresponds-differentially-to-cognition-relevant-functional-brain-networks
#18
Oskar Hansson, Michel J Grothe, Tor Olof Strandberg, Tomas Ohlsson, Douglas Hägerström, Jonas Jögi, Ruben Smith, Michael Schöll
Neuropathological studies have shown that the typical neurofibrillary pathology of hyperphosphorylated tau protein in Alzheimer's disease (AD) preferentially affects specific brain regions whereas others remain relatively spared. It has been suggested that the distinct regional distribution profile of tau pathology in AD may be a consequence of the intrinsic network structure of the human brain. The spatially distributed brain regions that are most affected by the spread of tau pathology may hence reflect an interconnected neuronal system...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28396874/frequency-specific-effects-of-apoe-%C3%AE%C2%B54-allele-on-resting-state-networks-in-nondemented-elders
#19
Ying Liang, Zhenzhen Li, Jing Wei, Chunlin Li, Xu Zhang, Alzheimer's Disease Neuroimaging Initiative
We applied resting-state functional magnetic resonance imaging (fMRI) to examine the Apolipoprotein E (ApoE) ε4 allele effects on functional connectivity of the default mode network (DMN) and the salience network (SN). Considering the frequency specific effects of functional connectivity, we decomposed the brain network time courses into two bands: 0.01-0.027 Hz and 0.027-0.08 Hz. All scans were acquired by the Alzheimer's Disease Neuroscience Initiative (ADNI). Thirty-two nondemented subjects were divided into two groups based on the presence (n = 16) or absence (n = 16) of the ApoE ε4 allele...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28394034/the-interactive-effect-of-demographic-and-clinical-factors-on-hippocampal-volume-a-multicohort-study-on-1958-cognitively-normal-individuals
#20
Daniel Ferreira, Oskar Hansson, José Barroso, Yaiza Molina, Alejandra Machado, Juan Andrés Hernández-Cabrera, J-Sebastian Muehlboeck, Erik Stomrud, Katarina Nägga, Olof Lindberg, David Ames, Grégoria Kalpouzos, Laura Fratiglioni, Lars Bäckman, Caroline Graff, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka Soininen, Simon Lovestone, Håkan Ahlström, Lars Lind, Elna-Marie Larsson, Lars-Olof Wahlund, Andrew Simmons, Eric Westman
Alzheimer's disease is characterized by hippocampal atrophy. Other factors also influence the hippocampal volume, but their interactive effect has not been investigated before in cognitively healthy individuals. The aim of this study is to evaluate the interactive effect of key demographic and clinical factors on hippocampal volume, in contrast to previous studies frequently investigating these factors in a separate manner. Also, to investigate how comparable the control groups from ADNI, AIBL, and AddNeuroMed are with five population-based cohorts...
February 28, 2017: Hippocampus
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