Organisation:
Department:
Keywords:
Interests:
My main research interests to date include:
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Hierarchical complexity of human brain structural and functional connectivity and its relevance in brain development and degeneration
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Machine learning of brain MRI data for Major Depressive Disorder
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Theory of biological networks
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Theory and applications of signal processing for neuroimaging, particularly EEG signals with applications to Alzheimer’s disease
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Statistical complexity and generative models of networks
Key Publications:
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Yeung HW, …, Smith KM, Predicting Sex, Age, General Cognition, and Mental Health with Machine Learning on Brain Structural Connectomes. Human Brain Mapping, doi:10.1002/hbm.26182 (2023) [link]
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Klein B†, Holmer L, Smith KM†, Johnson MM, Swain A, Stolp L, Teufel AI, Kleppe AS†, Resilience and Evolvability of Protein-Protein Interaction Networks. Communications Biology, 4: 1352 (2021) [link]
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Smith KM, Explaining the Emergence of Complex Networks through Log-Normal Fitness in a Euclidean Node Similarity Space. Scientific Reports, 11: 1976 (2021). [link]
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Blesa M, Galdi P, …, Smith KM*, Boardman JP*, Hierarchical Complexity of the Macro-scale Neonatal Brain. Cerebral Cortex, 31(4): 2071-2084 (2021). [link]
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Smith KM, Bastin ME, Cox SR, Valdes-Hernandez M, Wiseman S, Escudero J, Sudlow C, Hierarchical Complexity of the Adult Human Structural Connectome. NeuroImage, 191: 205-215 (2019). [link]
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Smith KM, Spyrou L, Escudero J, Graph-Variate Signal Analysis. IEEE Transactions on Signal Processing, 67(2): 293-305 (2019). [link]
Software Expertise:
Matlab
Collaborators:
Javier Escudero, Mario A Parra, Simon R Cox, Heather C Whalley, Manuel Blesa, Paola Galdi, James Boardman, Maria Valdes-Hernandez, Stewart Wiseman