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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
#1
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)...
April 25, 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
#2
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
#3
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
#4
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...
April 18, 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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
https://www.readbyqxmd.com/read/28391822/a-novel-method-and-software-for-automatically-classifying-alzheimer-s-disease-patients-by-magnetic-resonance-imaging-analysis
#12
F Previtali, P Bertolazzi, G Felici, E Weitschek
BACKGROUND AND OBJECTIVE: The cause of the Alzheimer's disease is poorly understood and to date no treatment to stop or reverse its progression has been discovered. In developed countries, the Alzheimer's disease is one of the most financially costly diseases due to the requirement of continuous treatments as well as the need of assistance or supervision with the most cognitively demanding activities as time goes by. The objective of this work is to present an automated approach for classifying the Alzheimer's disease from magnetic resonance imaging (MRI) patient brain scans...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28381516/randomized-controlled-trials-in-mild-cognitive-impairment-sources-of-variability
#13
Ronald C Petersen, Ronald G Thomas, Paul S Aisen, Richard C Mohs, Maria C Carrillo, Marilyn S Albert
OBJECTIVE: To examine the variability in performance among placebo groups in randomized controlled trials for mild cognitive impairment (MCI). METHODS: Placebo group data were obtained from 2 National Institute on Aging (NIA) MCI randomized controlled trials, the Alzheimer's Disease Cooperative Study (ADCS) MCI trial and the Alzheimer's Disease Neuroimaging Initiative (ADNI), which is a simulated clinical trial, in addition to industry-sponsored clinical trials involving rivastigmine, galantamine, rofecoxib, and donepezil...
April 5, 2017: Neurology
https://www.readbyqxmd.com/read/28372331/biomarkers-and-functional-decline-in%C3%A2-prodromal-alzheimer-s-disease
#14
Catherine Robb, Chinedu Udeh-Momoh, Stefan Wagenpfeil, Jakob Schöpe, Panagiotis Alexopoulos, Robert Perneczky
BACKGROUND: Little is known of possible associations between Alzheimer's disease (AD) biomarkers and instrumental activities of daily living (IADL) change over time. OBJECTIVE: The present study seeks to identify relationships between baseline imaging and fluid biomarker profiles, and decline in IADL utilizing data collated from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. METHODS: Generalized estimating equations analysis, adjusted for cognitive deterioration, was applied to a cohort of 509 individuals from all stages of ADNI, including 156 healthy controls, 189 early mild cognitive impairment (MCI) patients and 164 MCI patients...
March 29, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28352290/topological-measurements-of-dwi-tractography-for-alzheimer-s-disease-detection
#15
Nicola Amoroso, Alfonso Monaco, Sabina Tangaro, Alzheimer's Disease Neuroimaging Initiative
Neurodegenerative diseases affect brain morphology and connectivity, making complex networks a suitable tool to investigate and model their effects. Because of its stereotyped pattern Alzheimer's disease (AD) is a natural benchmark for the study of novel methodologies. Several studies have investigated the network centrality and segregation changes induced by AD, especially with a single subject approach. In this work, a holistic perspective based on the application of multiplex network concepts is introduced...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28344552/adding-recognition-discriminability-index-to-the-delayed-recall-is-useful-to-predict-conversion-from-mild-cognitive-impairment-to-alzheimer-s-disease-in-the-alzheimer-s-disease-neuroimaging-initiative
#16
María J Russo, Jorge Campos, Silvia Vázquez, Gustavo Sevlever, Ricardo F Allegri
Background: Ongoing research is focusing on the identification of those individuals with mild cognitive impairment (MCI) who are most likely to convert to Alzheimer's disease (AD). We investigated whether recognition memory tasks in combination with delayed recall measure of episodic memory and CSF biomarkers can predict MCI to AD conversion at 24-month follow-up. Methods: A total of 397 amnestic-MCI subjects from Alzheimer's disease Neuroimaging Initiative were included. Logistic regression modeling was done to assess the predictive value of all RAVLT measures, risk factors such as age, sex, education, APOE genotype, and CSF biomarkers for progression to AD...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28342697/recent-publications-from-the-alzheimer-s-disease-neuroimaging-initiative-reviewing-progress-toward-improved-ad-clinical-trials
#17
REVIEW
Michael W Weiner, Dallas P Veitch, Paul S Aisen, Laurel A Beckett, Nigel J Cairns, Robert C Green, Danielle Harvey, Clifford R Jack, William Jagust, John C Morris, Ronald C Petersen, Andrew J Saykin, Leslie M Shaw, Arthur W Toga, John Q Trojanowski
INTRODUCTION: The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued development and standardization of methodologies for biomarkers and has provided an increased depth and breadth of data available to qualified researchers. This review summarizes the 450+ publications using ADNI data during 2014 and 2015. METHODS: We used standard searches to find publications using ADNI data. RESULTS: (1) Structural and functional changes, including subtle changes to hippocampal shape and texture, atrophy in areas outside of hippocampus, and disruption to functional networks, are detectable in presymptomatic subjects before hippocampal atrophy; (2) In subjects with abnormal β-amyloid deposition (Aβ+), biomarkers become abnormal in the order predicted by the amyloid cascade hypothesis; (3) Cognitive decline is more closely linked to tau than Aβ deposition; (4) Cerebrovascular risk factors may interact with Aβ to increase white-matter (WM) abnormalities which may accelerate Alzheimer's disease (AD) progression in conjunction with tau abnormalities; (5) Different patterns of atrophy are associated with impairment of memory and executive function and may underlie psychiatric symptoms; (6) Structural, functional, and metabolic network connectivities are disrupted as AD progresses...
March 22, 2017: Alzheimer's & Dementia: the Journal of the Alzheimer's Association
https://www.readbyqxmd.com/read/28333946/structural-and-functional-connectional-fingerprints-in-mild-cognitive-impairment-and-alzheimer-s-disease-patients
#18
Seong-Jin Son, Jonghoon Kim, Hyunjin Park
Regional volume atrophy and functional degeneration are key imaging hallmarks of Alzheimer's disease (AD) in structural and functional magnetic resonance imaging (MRI), respectively. We jointly explored regional volume atrophy and functional connectivity to better characterize neuroimaging data of AD and mild cognitive impairment (MCI). All data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We compared regional volume atrophy and functional connectivity in 10 subcortical regions using structural MRI and resting-state functional MRI (rs-fMRI)...
2017: PloS One
https://www.readbyqxmd.com/read/28326436/reference-region-selection-and-the-association-between-the-rate-of-amyloid-accumulation-over-time-and-the-baseline-amyloid-burden
#19
Janusch Blautzik, Matthias Brendel, Julia Sauerbeck, Sebastian Kotz, Franziska Scheiwein, Peter Bartenstein, John Seibyl, Axel Rominger
Relative quantitative analysis of amyloid plaque burden in Alzheimer's disease (AD) patients can be reported as standardized uptake value ratio (SUVR) from positron emission tomography (PET). Here, the SUVR is the ratio of the mean amyloid radioligand retention in a composite (COMP) neocortical volume of interest (VOI) to that in a reference VOI, such as the cerebellum, brainstem (BST)/pons, or white matter (WM). Some longitudinal PET investigations show that the rate of amyloid accumulation to follow-up has an inverted U relationship with baseline amyloid SUVR relative to cerebellar or brainstem/pons reference VOIs...
March 22, 2017: European Journal of Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/28323831/genetic-assessment-of-age-associated-alzheimer-disease-risk-development-and-validation-of-a-polygenic-hazard-score
#20
Rahul S Desikan, Chun Chieh Fan, Yunpeng Wang, Andrew J Schork, Howard J Cabral, L Adrienne Cupples, Wesley K Thompson, Lilah Besser, Walter A Kukull, Dominic Holland, Chi-Hua Chen, James B Brewer, David S Karow, Karolina Kauppi, Aree Witoelar, Celeste M Karch, Luke W Bonham, Jennifer S Yokoyama, Howard J Rosen, Bruce L Miller, William P Dillon, David M Wilson, Christopher P Hess, Margaret Pericak-Vance, Jonathan L Haines, Lindsay A Farrer, Richard Mayeux, John Hardy, Alison M Goate, Bradley T Hyman, Gerard D Schellenberg, Linda K McEvoy, Ole A Andreassen, Anders M Dale
BACKGROUND: Identifying individuals at risk for developing Alzheimer disease (AD) is of utmost importance. Although genetic studies have identified AD-associated SNPs in APOE and other genes, genetic information has not been integrated into an epidemiological framework for risk prediction. METHODS AND FINDINGS: Using genotype data from 17,008 AD cases and 37,154 controls from the International Genomics of Alzheimer's Project (IGAP Stage 1), we identified AD-associated SNPs (at p < 10-5)...
March 2017: PLoS Medicine
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