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Published in 2018 at "Current topics in behavioral neurosciences"
DOI: 10.1007/7854_2018_46
Abstract: The search for diagnostic and prognostic biomarkers in schizophrenia care and treatment is the focus of many within the research community. Longitudinal cohorts of patients presenting at elevated genetic and clinical risk have provided a…
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Keywords:
schizophrenia;
risk;
transition;
high risk ... See more keywords
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Published in 2019 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz401
Abstract: MOTIVATION The detection of potential biomarkers of Alzheimer's disease (AD) is crucial for its early prediction, diagnosis, and treatment. Voxelwise genome-wide association study (VGWAS) is a commonly used method in imaging genomics and usually applied…
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Keywords:
vgwas;
detection;
anatomical similarity;
spatial anatomical ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.846638
Abstract: The application of deep learning techniques to the detection and automated classification of Alzheimer's disease (AD) has recently gained considerable attention. The rapid progress in neuroimaging and sequencing techniques has enabled the generation of large-scale…
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Keywords:
ignet;
genetic data;
imaging genetic;
classification ... See more keywords
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Published in 2022 at "Genes"
DOI: 10.3390/genes13091520
Abstract: Brain imaging genetics examines associations between imaging quantitative traits (QTs) and genetic factors such as single nucleotide polymorphisms (SNPs) to provide important insights into the pathogenesis of Alzheimer’s disease (AD). The individual level SNP-QT signals…
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Keywords:
imaging genetic;
brain;
snp;
high level ... See more keywords