Thomas Matthew Lancaster

8PUBLICATIONS
83CO-AUTHORS
Epigenetics (incl. genome methylation and epigenomics)Medical devicesDeep learningTraditional Chinese medicine and treatmentsGene mapping
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Publications (8)

|Oct 03, 2025
Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model.

Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng

|Dec 31, 2024
Non-APOE variants predominately expressed in smooth muscle cells contribute to the influence of Alzheimer's disease genetic risk on white matter hyperintensities.

Hannah Louise Chandler, Joshua Wheeler, Valentina Escott-Price

|Jan 11, 2024
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures.

Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani

|Nov 28, 2022
Different depression: motivational anhedonia governs antidepressant efficacy in Huntington's disease.

Duncan James McLauchlan, Thomas Lancaster, David Craufurd

|Jul 13, 2022
Genetic risk for schizophrenia is associated with increased proportion of indirect connections in brain networks revealed by a semi-metric analysis: evidence from population sample stratified for polygenic risk.

S I Dimitriadis, G Perry, T M Lancaster

|Feb 09, 2022
Evidence From Imaging Resilience Genetics for a Protective Mechanism Against Schizophrenia in the Ventral Visual Pathway.

Meike D Hettwer, Thomas M Lancaster, Eva Raspor

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Frequent Collaborators

4 joint publications

David E J Linden

2 joint publications

Ian H Gotlib

2 joint publications

Igor Nenadić

2 joint publications

Dan J Stein