Weikang Gong
Postdoctoral Researcher
Research Summary
I am a postdoctoral researcher in the FMRIB Analysis Group, which is part of the Wellcome Centre for Integrative Neuroimaging and Nuffield Department of Clinical Neurosciences. I am currently working with Professor Stephen Smith and Professor Christian Beckmann. My research interest is in the area of statistical modelling of brain image and genetics data, especially the multimodal data fusion using big datasets such as Human Connectome Project and UK-Biobank.
Our work, BigFLICA, on a new multimodal fusion algorithm for large-scale neuroimaging dataset is out in Medical Image Analysis. We have improved this work by an end-to-end supervised training algorithm called SuperBigFLICA, now the preprint is out in BioRxiv.
Our work on a new deep learning model for brain age prediction using UKB data is out in Medical Image Analysis.
Besides methodology research, I also have core contributions to several of our neuroscientific research projects: Our work on the associations of family environment with the brain and behaviours is out in Nature Communications. Our work on the relations between sleep durations, brain and behaviours is out in Molecular Psychiatry. Our work on the relations between parental age, brain and behaviours is out in Molecular Psychiatry.
I obtained my DPhil degree from FMRIB, WIN, NDCN at Oxford. Before joining the DPhil programme, I obtained a MSc degree in Computational Biology from SIBS in Chinese Academy of Sciences, collaborated with ISTBI at Fudan University. I did my undergraduate in Mathematics at Shandong University. My previous work developed approaches to perform voxel-level functional connectivity analysis using resting-state fMRI. The approaches called BWAS is published in Medical Image Analysis, and sKPCR published in NeuroImage. I also wrote a Matlab-based software package to preprocess the resting-state fMRI data.
Websites
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BigFLICA
Gong, Weikang, Christian F. Beckmann, and Stephen M. Smith. "Phenotype Discovery from Population Brain Imaging." Medical Image Analysis (2021).
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BWAS software
Weikang Gong. et al, Statistical testing and power analysis for brain-wide association study, Medical Image Analysis (2018).
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Resting-state fMRI preprocessing
A Matlab software package for preprocessing the resting-state fMRI data.
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sKPCR software
Weikang Gong. et al, A powerful and efficient multivariate approach for voxel-level connectome-wide association studies, NeuroImage (2018).
Key publications
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Phenotype discovery from population brain imaging.
Journal article
Gong W. et al, (2021), Med Image Anal, 71
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A powerful and efficient multivariate approach for voxel-level connectome-wide association studies
Journal article
Gong W. et al, (2019), NeuroImage, 188, 628 - 641
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Statistical testing and power analysis for brain-wide association study
Journal article
Gong W. et al, (2018), Medical Image Analysis, 47, 15 - 30
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Accurate brain age prediction with lightweight deep neural networks.
Journal article
Peng H. et al, (2020), Med Image Anal, 68
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Sleep duration, brain structure, and psychiatric and cognitive problems in children
Journal article
Cheng W. et al, (2020), Molecular Psychiatry
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Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study
Journal article
Gong W. et al, (2021), Nature Communications, 12
Recent publications
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Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study
Journal article
Gong W. et al, (2021), Nature Communications, 12
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Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age.
Journal article
Zhang L. et al, (2021), Neuroimage
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Phenotype discovery from population brain imaging.
Journal article
Gong W. et al, (2021), Med Image Anal, 71