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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…
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Keywords:
approaches imaging;
genetics;
imaging genetics;
statistical approaches ... See more keywords
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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…
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Keywords:
alzheimer disease;
genetics;
imaging genetics;
disease ... See more keywords
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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…
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Keywords:
etiology;
genetics;
imaging genetics;
brain ... See more keywords
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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…
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Keywords:
genetics schizophrenia;
schizophrenia post;
genetics;
imaging genetics ... See more keywords
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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…
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Keywords:
structural neuroimaging;
genetics;
neuroimaging measures;
imaging genetics ... See more keywords
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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…
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Keywords:
mml;
math;
imaging genetics;
mml mml ... See more keywords
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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…
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Keywords:
collaborative regression;
imaging genetics;
sparse collaborative;
joint sparse ... See more keywords
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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…
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Keywords:
genetics;
imaging genetics;
correlation;
projected distance ... See more keywords
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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…
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Keywords:
model;
imaging genetics;
genetics;
disease ... See more keywords
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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…
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Keywords:
hypergraph based;
imaging genetics;
multi modal;
data fusion ... See more keywords
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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…
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Keywords:
imaging genetics;
proposed framework;
deep learning;
deep generative ... See more keywords