Michael D. Weiner
A5038703321- Advanced Combinatorial Mathematics
- Advanced Mathematical Identities
- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Algebraic structures and combinatorial models
- semigroups and automata theory
- Advanced Topics in Algebra
- Coding theory and cryptography
- Lipid Membrane Structure and Behavior
- Nonlinear Waves and Solitons
- Distributed and Parallel Computing Systems
- Protein Structure and Dynamics
- Functional Brain Connectivity Studies
- Cloud Computing and Resource Management
- Mathematical Dynamics and Fractals
- Advanced Mathematical Theories and Applications
- Spectroscopy and Quantum Chemical Studies
- Scientific Computing and Data Management
- Advanced Differential Equations and Dynamical Systems
- Bayesian Methods and Mixture Models
- advanced mathematical theories
- Algorithms and Data Compression
- Cellular Automata and Applications
- Advanced Data Storage Technologies
- Health, Environment, Cognitive Aging
Georgia Institute of Technology
2020-2024
UPMC Altoona
2007-2023
Pennsylvania State University
2007-2023
Cornell University
2015-2020
University of California, San Francisco
2008-2019
San Francisco VA Medical Center
2008-2018
University of California System
2013
Nazareth College
2012
University of St. Francis
2011
Binghamton University
2002
Abstract Alzheimer’s Disease (AD) is a progressive neurodegenerative disease where biomarkers for based on pathophysiology may be able to provide objective measures diagnosis and staging. Neuroimaging scans acquired from MRI metabolism images obtained by FDG-PET in-vivo measurements of structure function (glucose metabolism) in living brain. It hypothesized that combining multiple different image modalities providing complementary information could help improve early AD. In this paper, we...
<h3>Objective:</h3> To compare the diagnostic accuracy of CSF biomarkers and amyloid PET for diagnosing early-stage Alzheimer disease (AD). <h3>Methods:</h3> From prospective, longitudinal BioFINDER study, we included 122 healthy elderly 34 patients with mild cognitive impairment who developed AD dementia within 3 years (MCI-AD). β-Amyloid (Aβ) deposition in 9 brain regions was examined [<sup>18</sup>F]-flutemetamol PET. analyzed INNOTEST EUROIMMUN ELISAs. The results were replicated 146...
Most approaches to machine learning from electronic health data can only predict a single endpoint. The ability simultaneously simulate dozens of patient characteristics is crucial step towards personalized medicine for Alzheimer's Disease. Here, we use an unsupervised model called Conditional Restricted Boltzmann Machine (CRBM) detailed trajectories. We comprising 18-month trajectories 44 clinical variables 1909 patients with Mild Cognitive Impairment or Disease train forecasting disease...
The ε4 allele of the apolipoprotein E (APOE) gene is major genetic risk factor for Alzheimer’s disease (AD), but limited work has suggested that APOE genotype may modulate phenotype. Carriers have been reported to greater medial temporal lobe (MTL) pathology and poorer memory than noncarriers. Less attention focused on whether there are domains cognition neuroanatomical regions more affected in Further, a potential confound prior vivo studies possibility different rates clinical misdiagnosis...
Regions of the temporal and parietal lobes are particularly damaged in Alzheimer's disease (AD), this leads to a predictable pattern brain atrophy. In vivo quantification subregional atrophy, such as changes cortical thickness or structure volume, could lead improved diagnosis better assessment neuroprotective effects therapy. Toward end, we have developed fast robust method for accurately quantifying cerebral structural several subcortical regions using serial MRI scans. 169 healthy...
To examine associations between aggregate genetic risk and Alzheimer disease (AD) markers in stages preceding the clinical symptoms of dementia using data from 2 large observational cohort studies.We computed polygenic scores (PGRS) summary statistics International Genomics Alzheimer's Project genome-wide association study AD. Associations PGRS AD (cognitive decline, progression, hippocampus volume, β-amyloid) were assessed within older participants with dementia. volume additionally...
<h3>Objective:</h3> To examine the clinical and biomarker characteristics of patients with amyloid-negative Alzheimer disease (AD) mild cognitive impairment (MCI) from Alzheimer9s Disease Neuroimaging Initiative (ADNI), a prospective cohort study. <h3>Methods:</h3> We first investigated reliability florbetapir− PET in AD MCI using CSF-Aβ<sub>1–42</sub> as comparison amyloid measurement. then compared vs florbetapir+ respect to several AD-specific biomarkers, baseline longitudinal...
<h3>Objective:</h3> To assess the frequency and phenotype of hexanucleotide repeat expansions in <i>C9ORF72</i> a large cohort patients Dutch descent with familial (fALS) sporadic (sALS) amyotrophic lateral sclerosis (ALS), progressive muscular atrophy (PMA), primary (PLS). <h3>Methods:</h3> Included were 78 fALS, 1,422 sALS, 246 PMA, 110 PLS, 768 control subjects. Repeat determined by primed PCR. Familial aggregation dementia Parkinson disease (PD) was examined among ALS who carried...
Brain age (BA), distinct from chronological (CA), can be estimated MRIs to evaluate neuroanatomic aging in cognitively normal (CN) individuals. BA, however, is a cross-sectional measure that summarizes cumulative since birth. Thus, it conveys poorly recent or contemporaneous trends, which better quantified by the (temporal) pace P of brain aging. Many approaches map , rely on quantifying DNA methylation whole-blood cells, blood–brain barrier separates neural cells. We introduce...
Abstract Accumulating evidence suggests that Alzheimer’s disease (AD) is heterogenous and can be classified into several subtypes. Here, we propose a robust subtyping method for AD based on cortical atrophy patterns graph theory. We calculated similarities between subjects in their throughout the whole brain, clustered with similar using Louvain modular organization extraction. applied our to patients recruited at Samsung Medical Center externally validated by Neuroimaging Initiative ( ADNI...
Progressive brain atrophy is associated with Alzheimer disease (AD) and other dementias. Regional differences in may reflect clinical features of disease.To identify regions cerebral that are AD vs dementias.University hospital dementia clinic.Eleven patients 11 semantic (SD), matched for age, sex, education, degree overall cognitive impairment 15 normal controls.Voxel-based morphometry was used to compare patterns gray matter loss, measured on T1-weighted magnetic resonance images, between...
Three-component lipid mixtures can produce coexisting liquid ordered and disordered phases, a model for eukaryotic plasma membrane rafts. In compositionally symmetric bilayers with two phase-separated leaflets, phase domains of the leaflets may align through registration, where are found across from same phase, or else antiregistration, opposite phase. This alignment could serve as method information communication membrane. We used coarse-grained molecular dynamics simulations to study...
Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A central goal in longitudinal is tracking relevant change over time. Traditional methods remove nuisance variation with custom pipelines to focus on significant changes. In this work, we present a machine learning–based method that automatically ignores irrelevant changes extracts the time-varying signal of interest. Our method, called Learning-based Inference imAge Changes (LILAC), performs pairwise...
Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks follow-up. Identifying and excluding these individuals can increase power to detect effects. We aimed develop machine learning-based predictive models identify persons unlikely on placebo weeks. used data from arm EXPEDITION3 AD clinical trial a subpopulation Alzheimer's Disease Neuroimaging Initiative (ADNI). Participants in were patients with mild dementia biomarker evidence...
We prove an inverse relation and a family of convolution formulas involving partial Bell polynomials. Known some presumably new combinatorial identities type are discussed. Our approach relies on interesting multinomial formula for the binomial coefficients. The is deduced from parametrization suitable that facilitate dealing with nested compositions
This supplement to the Journal of Alzheimer's Disease contains more than half chapters from The Handbook Imaging Alzheimer Brain, which was first presented at International Conference on in Paris, July, 2011.
The eukaryotic plasma membrane has an asymmetric distribution of its component lipids. Rafts that result from liquid-liquid phase separation are a feature exoplasmic leaflet, but how these leaflet domains coupled to the cytoplasmic is not understood. These rafts can be studied in model membranes three-component mixtures produce coexisting liquid ordered (Lo) and disordered (Ld) domains. We conducted all-atom molecular dynamics simulations compositionally lipid bilayers reflect more realistic...
The software stack is an essential component in any High Performance Computing (HPC) cluster, and it critical to optimize the usage of underlying computing resources while simultaneously providing best user experience. Georgia Institute Technology (GT) Partnership for Advanced Environment (PACE) maintains a heterogeneous system with around 2000 compute nodes across five different clusters on two schedulers (Torque Slurm) parallel filesystems (GPFS Lustre). This diversity calls multiple...
Abstract The goal of this project was to utilize an information theoretic formalism for medical image analysis initially proposed in [Young et al. (2005): Phys Rev Lett 94:098701‐1] detect and quantify subtle global regional differences spatial patterns patients suffering from Alzheimer's disease (AD) frontotemporal dementia (FTD) by estimating the structural complexity anatomical brain MRI. sensitivity specificity results are compared with those a recent analysis, currently considered state...
The usual spinor construction from one fermion yields four irreducible representations of the Virasoro algebra with central charge $c = 1/2$. Neveu-Schwarz (NS) sector is direct sum an $h 0$ and 1/2$ module, Ramond (R) two copies 1/16$ module. In addition to fundamental fermions, which represent a Clifford algebra, operators, there are infinitely many other vertex in one-to-one correspondence vectors (states) NS sector. These give structure Vertex Operator SuperAlgebra, R ${\bold...