A5067976446- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Alzheimer's disease research and treatments
- Advanced MRI Techniques and Applications
- Health, Environment, Cognitive Aging
- Dementia and Cognitive Impairment Research
- Bipolar Disorder and Treatment
- Retinal Imaging and Analysis
- Machine Learning in Bioinformatics
- Brain Tumor Detection and Classification
- Glaucoma and retinal disorders
- Memory and Neural Mechanisms
- Retinal Diseases and Treatments
- Tryptophan and brain disorders
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced NMR Techniques and Applications
- Mitochondrial Function and Pathology
- Circadian rhythm and melatonin
- Neuroscience and Neuropharmacology Research
- Olfactory and Sensory Function Studies
- Lanthanide and Transition Metal Complexes
- Iron Metabolism and Disorders
- Neurogenesis and neuroplasticity mechanisms
- Neurological disorders and treatments
- Spaceflight effects on biology
Duke University
2022-2025
Duke University Hospital
2024
Duke Medical Center
2020-2024
Duke University Health System
2022-2024
Université Paris-Saclay
2017-2020
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2017-2020
CEA Paris-Saclay
2017-2019
Frédéric Joliot Institute for Life Sciences
2017
Age-related macular degeneration (AMD) has recently been linked to cognitive impairment. We hypothesized that AMD modifies the brain aging trajectory, and we conducted a longitudinal diffusion MRI study on 40 participants (20 with 20 controls) reveal location, extent, dynamics of AMD-related changes. Voxel-based analyses at first visit identified reduced volume in cuneate gyrus, associated vision, temporal bilateral cingulate higher cognition memory. The second occurred 2 years after...
Abstract Alzheimer’s disease (AD) lacks effective cures and is typically detected after substantial pathological changes have occurred, making intervention challenging. Early detection understanding of risk factors their downstream effects are therefore crucial. Animal models provide valuable tools to study these prodromal stages. We investigated various levels genetic for AD using mice expressing the three major human APOE alleles in place mouse APOE. leverage utilizing high-resolution...
BackgroundLithium (Li) is a first-line treatment for bipolar disorder (BD). To study its cerebral distribution and association with plasma concentrations, we used 7Li magnetic resonance imaging at 7T in euthymic patients BD treated Li carbonate least 2 years.MethodsThree-dimensional scans (N = 21) were acquired an ultra-short echo-time sequence using non-Cartesian k-space sampling scheme. Lithium concentrations ([Li]) estimated phantom replacement approach accounting differential T1 T2...
Abstract The selective vulnerability of brain networks in individuals at risk for Alzheimer’s disease (AD) may help differentiate pathological from normal aging asymptomatic stages, allowing the implementation more effective interventions. We used a sample 72 people across age span, enriched APOE4 genotype to reveal vulnerable associated with composite AD factor including age, genotype, and sex. Sparse canonical correlation analysis (CCA) revealed high weight subgraphs involving cuneus,...
Abstract Alzheimer’s disease (AD), a widely studied neurodegenerative disorder, poses significant research challenges due to its high prevalence and complex etiology. Age, critical risk factor for AD, is typically assessed by comparing physiological estimated brain ages. This study utilizes mouse models expressing human alleles of APOE nitric oxide synthase 2 (hNOS2), replicating genetic risks AD alongside human-like immune response. We developed multivariate model that incorporates...
Spatial navigation and orientation are emerging as promising markers for altered cognition in prodromal Alzheimer’s disease, even cognitively normal individuals at risk disease. The different APOE gene alleles confer various degrees of risk. APOE2 allele is considered protective, APOE3 seen control, while APOE4 carriage the major known genetic We have used mouse models carrying three humanized tested them a spatial memory task Morris water maze. introduce new metric, absolute winding number,...
Alzheimer's disease (AD) presents complex challenges due to its multifactorial nature, poorly understood etiology, and late detection. The mechanisms through which genetic, fixed modifiable risk factors influence susceptibility AD are under intense investigation, yet the impact of unique on brain networks is difficult disentangle, their interactions remain unclear. To model multiple including APOE genotype, age, sex, diet, immunity we leveraged mice expressing human NOS2 genes, conferring a...
Lithium is the first-line mood stabilizer for treatment of patients with bipolar disorder. However, its mechanisms action and transport across blood-brain barrier remain poorly understood. The contribution lithium-7 magnetic resonance imaging (7 Li MRI) to investigate brain lithium distribution remains limited because modest sensitivity nucleus expected low concentrations in humans animal models. Therefore, we decided image rat ex vivo using a turbo-spin-echo sequence at 17.2 T. estimation...
<title>Abstract</title> Alzheimer’s disease currently has no cure and is usually detected too late for interventions to be effective. In this study we have focused on cognitively normal subjects the impact of risk factors their long-range brain connections. To detect vulnerable connections, devised a multiscale, hierarchical method spatial clustering whole tractogram examined age APOE allelic variation cognitive abilities bundle properties including texture e.g., mean fractional anisotropy,...
The brain connectome helds promise to detect subtle changes in individuals at risk for Alzheimer's disease. We imaged using high resolution diffusion imaging 72 subjects enriched the APOE4 genotype reveal vulnerable networks associated with a composite AD factor including age, genotype, and sex. Sparse canonical correlation analysis (CCA) revealed weight subgraphs involving cuneus, temporal, cingulate cortex, cerebellum. Our results have identified structural weights several factors...
Abstract Background Alzheimer's disease (AD) is multifactorial, thus multivariate analyses help untangle its effects. We employed multiple contrast MRI to reveal age‐related brain changes in populations at risk for AD, due APOE4 carriage. assessed volume and microstructure using diffusion weighted imaging, quantitative magnetic susceptibility maps (QSM) reflective primarily of cerebral iron metabolism. Method Our study included 48 non carriers, 42 with age ranging from 20.2 83; males...
Abstract Background Alzheimer's disease (AD) causes a steady degradation of connections inside the brain. The apolipoprotein E is protein where one its subtypes, APOE4, major genetic risk factor for developing late onset AD. Using combination tensor network PCA (TN‐PCA) and bundle analysis, we sought to determine which specific differentiate APOE4 individuals relative non‐APOE4 carriers, whether these changes increase with age. Method Our study included 77 from 20 83 years old, 37 male 40...
Abstract Background While we do not yet have the means to detect early Alzheimer’s disease (AD), studying subjects at risk conferred by presence of APOE4 allele, can provide useful information before clinical onset. We show that using symmetric bilinear regression with L1 penalty (SBL) individual (DTI, fMRI) and fused connectomes, identify vulnerable regions changing in association hallmark AD biomarkers measured cerebrospinal fluid: amyloid beta Aβ42/40, phosphorylated tau (PTAU),...
Alzheimer's disease currently has no cure and is usually detected too late for interventions to be effective. In this study we have focused on cognitively normal subjects the impact of risk factors their long-range brain connections. To detect vulnerable connections, devised a multiscale, hierarchical method spatial clustering whole tractogram examined age APOE allelic variation cognitive abilities bundle properties including texture e.g., mean fractional anisotropy, variability, geometric...
Motivation: Understanding Alzheimer&rsquo;s disease (AD) requires decoding the complex interplay of risk factors, particularly how age-related structural connectivity changes affect AD onset and progression. Goal(s): Using a state-of-the-art deep learning method, we aim to identify key brain connections, predict age assess factors with connectomes behavioral data from mouse models humanized APOE genotypes. Approach: Our Feature Attention Graph Neural Network (FAGNN) integrates...
ABSTRACT Alzheimer’s disease (AD) remains one of the most extensively researched neurodegenerative disorders due to its widespread prevalence and complex risk factors. Age is a crucial factor for AD, which can be estimated by disparity between physiological age brain age. To model AD more effectively, integrating biological, genetic, cognitive markers essential. Here, we utilized mouse models expressing major APOE human alleles nitric oxide synthase 2 replicate genetic humanized innate...
Abstract Background Alzheimer's disease (AD) has a tremendous effect on the brain structural and functional integrity. As previous research shown, AD impacts gray matter areas, but also neuronal tracts connecting them [ 1 ]. One of ways this impact can be evaluated is through combined use diffusion imaging tractography modeling. However, due to complex nature 3D modeling, it important evaluate not only models, protocols. We have several acquisition schemes in mouse model expressing APOE4...
Spatial navigation and orientation are emerging as promising markers for altered cognition in prodromal Alzheimer's disease, even cognitively normal individuals at risk disease. The different APOE gene alleles confer various degrees of risk. APOE2 allele is considered protective, APOE3 seen control, while APOE4 carriage the major known genetic We have used mouse models carrying three humanized tested them a spatial memory task Morris water maze. introduce new metric, absolute winding number,...