Articles with "imaging genetics" as a keyword



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Novel Statistical Approaches For Imaging Genetics

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Published in 2019 at "European Neuropsychopharmacology"

DOI: 10.1016/j.euroneuro.2017.06.044

Abstract: Abstract Modern medical bioinformatics encompasses a vast number of possible markers potentially useful for diagnosis. These markers may include structured clinical interviews, self-report questionnaires, inflammatory markers, multi-modal brain imaging (both structural and functional), and whole-genome… read more here.

Keywords: approaches imaging; genetics; imaging genetics; statistical approaches ... See more keywords
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Strategies for multivariate analyses of imaging genetics study in Alzheimer’s disease

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Published in 2021 at "Neuroscience Letters"

DOI: 10.1016/j.neulet.2021.136147

Abstract: Alzheimer's disease (AD) is an incurable neurodegenerative disease primarily affecting the elderly population. Early diagnosis of AD is critical for the management of this disease. Imaging genetics examines the influence of genetic variants (i.e., single… read more here.

Keywords: alzheimer disease; genetics; imaging genetics; disease ... See more keywords
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Imaging genetics in autism spectrum disorders: Linking genetics and brain imaging in the pursuit of the underlying neurobiological mechanisms

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Published in 2018 at "Progress in Neuro-Psychopharmacology and Biological Psychiatry"

DOI: 10.1016/j.pnpbp.2017.02.026

Abstract: ABSTRACT Autism spectrum disorders (ASD) include a wide range of heterogeneous neurodevelopmental conditions that affect an individual in several aspects of social communication and behavior. Recent advances in molecular genetic technologies have dramatically increased our… read more here.

Keywords: etiology; genetics; imaging genetics; brain ... See more keywords
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Imaging genetics of schizophrenia in the post-GWAS era

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Published in 2018 at "Progress in Neuro-Psychopharmacology and Biological Psychiatry"

DOI: 10.1016/j.pnpbp.2017.06.018

Abstract: ABSTRACT Imaging genetics is a research methodology studying the effect of genetic variation on brain structure, function, behavior, and risk for psychopathology. Since the early 2000s, imaging genetics has been increasingly used in the research… read more here.

Keywords: genetics schizophrenia; schizophrenia post; genetics; imaging genetics ... See more keywords
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Beyond heritability: improving discoverability in imaging genetics.

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Published in 2018 at "Human molecular genetics"

DOI: 10.1093/hmg/ddy082

Abstract: Structural neuroimaging measures based on magnetic resonance imaging have been at the forefront of imaging genetics. Global efforts to ensure homogeneity of measurements across study sites have enabled large-scale imaging genetic projects, accumulating nearly 50K… read more here.

Keywords: structural neuroimaging; genetics; neuroimaging measures; imaging genetics ... See more keywords
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Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics

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Published in 2021 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2019.2947428

Abstract: Brain imaging genetics studies the genetic basis of brain structures and functionalities via integrating genotypic data such as single nucleotide polymorphisms (SNPs) and imaging quantitative traits (QTs). In this area, both multi-task learning (MTL) and… read more here.

Keywords: mml; math; imaging genetics; mml mml ... See more keywords
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Joint Sparse Collaborative Regression on Imaging Genetics Study of Schizophrenia

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Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2022.3172289

Abstract: The imaging genetics approach generates large amount of high dimensional and multi-modal data, providing complementary information for comprehensive study of Schizophrenia, a complex mental disease. However, at the same time, the variety of these data… read more here.

Keywords: collaborative regression; imaging genetics; sparse collaborative; joint sparse ... See more keywords
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Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation

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Published in 2018 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2017.2783244

Abstract: Recent advances in imaging genetics produce large amounts of data including functional MRI images, single nucleotide polymorphisms (SNPs), and cognitive assessments. Understanding the complex interactions among these heterogeneous and complementary data has the potential to… read more here.

Keywords: genetics; imaging genetics; correlation; projected distance ... See more keywords
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Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer’s Disease

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Published in 2021 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2021.3057660

Abstract: Imaging genetics is an effective tool used to detect potential biomarkers of Alzheimer’s disease (AD) in imaging and genetic data. Most existing imaging genetics methods analyze the association between brain imaging quantitative traits (QTs) and… read more here.

Keywords: model; imaging genetics; genetics; disease ... See more keywords
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Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study

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Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3161828

Abstract: Recent studies show that multi-modal data fusion techniques combine information from diverse sources for comprehensive diagnosis and prognosis of complex brain disorder, often resulting in improved accuracy compared to single-modality approaches. However, many existing data… read more here.

Keywords: hypergraph based; imaging genetics; multi modal; data fusion ... See more keywords
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A Deep Generative–Discriminative Learning for Multimodal Representation in Imaging Genetics

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Published in 2022 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2022.3162870

Abstract: Imaging genetics, one of the foremost emerging topics in the medical imaging field, analyzes the inherent relations between neuroimaging and genetic data. As deep learning has gained widespread acceptance in many applications, pioneering studies employed… read more here.

Keywords: imaging genetics; proposed framework; deep learning; deep generative ... See more keywords