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Mathew A Harris

Showing results (11-20 of 52) with videos related to

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Neurobiology of Aging|September 3, 2017
Cognitive ability across the life course and cortisol levels in older ageMathew A Harris, Simon R Cox, Caroline E Brett, et al.
Stress (Amsterdam, Netherlands)|February 1, 2017
Stress in childhood, adolescence and early adulthood, and cortisol levels in older ageMathew A Harris, Simon R Cox, Caroline E Brett, et al.
Bipolar Disorders|November 15, 2019
Aberrant structural covariance networks in youth at high familial risk for mood disorderKareen Heinze, Xueyi Shen, Emma Hawkins, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists|March 20, 2020
Cognitive functioning and lifetime major depressive disorder in UK BiobankLaura de Nooij, Mathew A Harris, Mark J Adams, et al.
Wellcome Open Research|November 16, 2020
Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family StudyLaura de Nooij, Mathew A Harris, Emma L Hawkins, et al.
Psychological Medicine|July 19, 2019
Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measuresMathew A Harris, Xueyi Shen, Simon R Cox, et al.
Human Brain Mapping|May 17, 2020
An automated machine learning approach to predict brain age from cortical anatomical measuresJessica Dafflon, Walter H L Pinaya, Federico Turkheimer, et al.
Translational Psychiatry|July 14, 2022
Correction: Structural neuroimaging measures and lifetime depression across levels of phenotyping in UK biobankMathew A Harris, Simon R Cox, Laura de Nooij, et al.
Translational Psychiatry|April 14, 2022
Structural neuroimaging measures and lifetime depression across levels of phenotyping in UK biobankMathew A Harris, Simon R Cox, Laura de Nooij, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists|July 28, 2022
Comparing personalized brain-based and genetic risk scores for major depressive disorder in large population samples of adults and adolescentsGladi Thng, Xueyi Shen, Aleks Stolicyn, et al.
Pageof 6

Showing results (11-20 of 52) with videos related to

Sort By:
Pageof 6
Neurobiology of Aging|September 3, 2017
Cognitive ability across the life course and cortisol levels in older ageMathew A Harris, Simon R Cox, Caroline E Brett, et al.
Stress (Amsterdam, Netherlands)|February 1, 2017
Stress in childhood, adolescence and early adulthood, and cortisol levels in older ageMathew A Harris, Simon R Cox, Caroline E Brett, et al.
Bipolar Disorders|November 15, 2019
Aberrant structural covariance networks in youth at high familial risk for mood disorderKareen Heinze, Xueyi Shen, Emma Hawkins, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists|March 20, 2020
Cognitive functioning and lifetime major depressive disorder in UK BiobankLaura de Nooij, Mathew A Harris, Mark J Adams, et al.
Wellcome Open Research|November 16, 2020
Longitudinal trajectories of brain age in young individuals at familial risk of mood disorder from the Scottish Bipolar Family StudyLaura de Nooij, Mathew A Harris, Emma L Hawkins, et al.
Psychological Medicine|July 19, 2019
Stratifying major depressive disorder by polygenic risk for schizophrenia in relation to structural brain measuresMathew A Harris, Xueyi Shen, Simon R Cox, et al.
Human Brain Mapping|May 17, 2020
An automated machine learning approach to predict brain age from cortical anatomical measuresJessica Dafflon, Walter H L Pinaya, Federico Turkheimer, et al.
Translational Psychiatry|July 14, 2022
Correction: Structural neuroimaging measures and lifetime depression across levels of phenotyping in UK biobankMathew A Harris, Simon R Cox, Laura de Nooij, et al.
Translational Psychiatry|April 14, 2022
Structural neuroimaging measures and lifetime depression across levels of phenotyping in UK biobankMathew A Harris, Simon R Cox, Laura de Nooij, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists|July 28, 2022
Comparing personalized brain-based and genetic risk scores for major depressive disorder in large population samples of adults and adolescentsGladi Thng, Xueyi Shen, Aleks Stolicyn, et al.
Pageof 6