A5049834238- Functional Brain Connectivity Studies
- Medical Image Segmentation Techniques
- Advanced Neuroimaging Techniques and Applications
- Statistics Education and Methodologies
- Dementia and Cognitive Impairment Research
- Scientific Computing and Data Management
- Cell Image Analysis Techniques
- Advanced MRI Techniques and Applications
- Image Retrieval and Classification Techniques
- Medical Imaging Techniques and Applications
- Machine Learning in Healthcare
- Gene expression and cancer classification
- Alzheimer's disease research and treatments
- Radiomics and Machine Learning in Medical Imaging
- Bioinformatics and Genomic Networks
- Morphological variations and asymmetry
- Brain Tumor Detection and Classification
- Data Analysis with R
- Neural Networks and Applications
- Image and Signal Denoising Methods
- 3D Shape Modeling and Analysis
- Statistical Methods and Inference
- Data Visualization and Analytics
- Data Mining Algorithms and Applications
- Advanced Clustering Algorithms Research
University of Michigan–Ann Arbor
2016-2025
Ann Arbor Center for Independent Living
2018-2023
University of California, Los Angeles
2007-2022
Shenzhen Research Institute of Big Data
2022
Michigan United
2013-2020
University of Southern California
2010-2019
Michigan Public Health Institute
2016
East Carolina University
2016
Zero to Three
2015
Research Network (United States)
2012-2014
While most patients with mild cognitive impairment (MCI) transition to Alzheimer disease (AD), others develop non-AD dementia, remain in the MCI state, or improve.To test following hypotheses: smaller hippocampal volumes predict conversion of AD, whereas larger stability and/or improvement; and who convert AD have greater atrophy CA1 subfield subiculum.Prospective longitudinal cohort study.University California-Los Angeles Alzheimer's Disease Research Center.We followed up 20 subjects...
To determine if posttraumatic nonconvulsive electrographic seizures result in long-term brain atrophy.Prospective continuous EEG (cEEG) monitoring was done 140 patients with moderate to severe traumatic injury (TBI) and in-depth study of 16 selected using serial volumetric MRI acutely at 6 months after TBI. Fluorodeoxyglucose PET the acute stage 14/16 patients. These data were retrospectively analyzed collection for 7 years.cEEG detected 32/140 (23%) entire cohort. In imaging subgroup,...
Sex differences in age- and puberty-related maturation of human brain structure have been observed typically developing age-matched boys girls. Because girls mature 1–2 years earlier than boys, the present study aimed at assessing sex by studying 80 adolescent matched on sexual maturity, rather age. We evaluated pubertal influences medial temporal lobe (MTL), thalamic, caudate, cortical gray matter volumes utilizing structural magnetic resonance imaging 2 measures status: physical maturity...
Abstract Motivation: Integrative mathematical and statistical models of cardiac anatomy physiology can play a vital role in understanding disease phenotype planning therapeutic strategies. However, the accuracy predictive power such is dependent upon breadth depth noninvasive imaging datasets. The Cardiac Atlas Project (CAP) has established large-scale database examinations associated clinical data order to develop shareable, web-accessible, structural functional atlas normal pathological...
Stroke causes loss of neurological function. Recovery after stroke is facilitated by forced use the affected limb and associated with sprouting new connections, a process that sharply confined in adult brain. We show ephrin-A5 induced reactive astrocytes periinfarct cortex an inhibitor axonal motor recovery stroke. Blockade signaling using unique tissue delivery system induces formation pattern projections motor, premotor, prefrontal circuits mediates mouse through these projections....
In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clinical, demographic and neuroimaging data from two independent initiatives (University of Michigan Tel Aviv Sourasky Medical Center). Using machine learning techniques, construct predictive models discriminate fallers non-fallers. Through controlled feature selection, identified the most salient predictors patient including gait speed, Hoehn Yahr stage, postural instability difficulty-related...
Background: Detection and segmentation of brain tumors using MR images are challenging valuable tasks in the medical field. Early diagnosing localizing can save lives provide timely options for physicians to select efficient treatment plans. Deep learning approaches have attracted researchers imaging due their capacity, performance, potential assist accurate diagnosis, prognosis, technologies. Methods procedures: This paper presents a novel framework segmenting 2D deep neural networks (DNN)...
Alzheimer's disease is the most common neurodegenerative disorder in elderly. Amnestic mild cognitive impairment (MCI) a relatively newly defined clinical entity that requires memory decline while activities of daily living remain intact. Most amnestic MCI patients develop disease. Using an innovative surface-based hippocampal analytic technique we analysed structural magnetic resonance data 31 and 34 subjects. We tested hypothesis subjects have greater atrophy CA1, CA2 CA3 subfields...
A recently identified variant within the fat mass and obesity-associated (FTO) gene is carried by 46% of Western Europeans associated with an approximately 1.2 kg higher weight, on average, in adults 1 cm greater waist circumference. With >1 billion overweight 300 million obese persons worldwide, it crucial to understand implications carrying this very common allele for health our aging population. FTO highly expressed brain elevated body index (BMI) atrophy, but unknown how risk affects...
Abstract Strains of mice, through breeding or the disruption normal genetic pathways, are widely used to model human diseases. Atlases an invaluable aid in understanding impact such manipulations by providing a standard for comparison. We have developed digital atlas adult C57BL/6J mouse brain as comprehensive framework storing and accessing myriad types information about brain. Our implementation was constructed using several different imaging techniques: magnetic resonance microscopy,...
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach emphasized. discriminative appearance models, various cues such as intensity and curvatures are combined to locally capture complex appearances different structures. A probabilistic boosting tree (PBT) framework adopted learn multiclass models that combine hundreds features across scales. On generative side, both global local shape used...
<i>Background:</i> Apathy is the most common noncognitive symptom inAlzheimer’s disease (AD). The structural correlates of apathy in AD have not yet been described. <i>Methods:</i> We analyzed magnetic resonance imaging data 35 patients with and without apathy. <i>Results:</i> There was a significant linear association between severity cortical gray matter atrophy bilateral anterior cingulate [Brodmann area (BA) 24; r = 0.39–0.42, p 0.01] left medial...
Age-related changes in cortical thickness have been observed during adolescence, including thinning frontal and parietal cortices, thickening the lateral temporal lobes. Studies shown sex differences hormone-related brain maturation when boys girls are age-matched, however, because mature 1–2 years earlier than boys, these could be confounded by pubertal maturation. To address puberty effects directly, this study assessed testosterone-related studying 85 a narrow age range matched on sexual...
The LONI Pipeline is a graphical environment for construction, validation and execution of advanced neuroimaging data analysis protocols [1]. It enables automated format conversion, allows Grid utilization, facilitates provenance, provides significant library computational tools. There are two main advantages the over other workflow architectures. built as distributed computing permits efficient tool integration, protocol broad resource distribution. To integrate existing tools within...
Alterations in gray matter (GM) density/volume and cortical thickness (CT) have been demonstrated small heterogeneous samples of subjects with differing chronic pain syndromes, including irritable bowel syndrome (IBS). Aggregating across 7 structural neuroimaging studies conducted at University California, Los Angeles, CA, USA, between August 2006 April 2011, we examined group differences regional GM volume 201 predominantly premenopausal female (82 IBS, mean age: 32±10 SD, 119 healthy...
Abstract Normal human aging is accompanied by progressive brain tissue loss and cognitive decline; however, several factors are thought to influence aging. We applied tensor‐based morphometry high‐resolution MRI scans determine whether educational level or physical activity was associated with volumes in the elderly, particularly regions susceptible age‐related atrophy. mapped 3D profile of volume differences 226 healthy elderly subjects (130F/96M; 77.9 ± 3.6 SD years) from Cardiovascular...
Modern computational neuroscience employs diverse software tools and multidisciplinary expertise to analyze heterogeneous brain data. The classical problems of gathering meaningful data, fitting specific models, discovering appropriate analysis visualization give way a new class challenges—management large incongruous integration interoperability resources, data provenance. We designed, implemented validated paradigm for addressing these challenges in the neuroimaging field. Our solution is...
A unique archive of Big Data on Parkinson's Disease is collected, managed and disseminated by the Progression Markers Initiative (PPMI). The integration such complex heterogeneous from multiple sources offers unparalleled opportunities to study early stages prevalent neurodegenerative processes, track their progression quickly identify efficacies alternative treatments. Many previous human animal studies have examined relationship disease (PD) risk trauma, genetics, environment,...