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M McIntosh

Showing results (441-450 of 805) with videos related to

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Sleep|October 27, 2023
Comprehensive assessment of sleep duration, insomnia, and brain structure within the UK Biobank cohortAleks Stolicyn, Laura M Lyall, Donald M Lyall, et al.
Plos One|April 26, 2016
Cognitive Test Scores in UK Biobank: Data Reduction in 480,416 Participants and Longitudinal Stability in 20,346 ParticipantsDonald M Lyall, Breda Cullen, Mike Allerhand, et al.
Plos One|May 21, 2016
Correction: Cognitive Test Scores in UK Biobank: Data Reduction in 480,416 Participants and Longitudinal Stability in 20,346 ParticipantsDonald M Lyall, Breda Cullen, Mike Allerhand, 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.
Journal of Environmental Quality|October 17, 2025
Engaging stakeholders to strengthen coproduction of knowledge in the Long-Term Agroecosystem Research (LTAR) indicator frameworkAlia N DeLong, Matthew M McIntosh, Megan Donovan, et al.
Archives of General Psychiatry|December 8, 2010
Midbrain activation during Pavlovian conditioning and delusional symptoms in schizophreniaLiana Romaniuk, Garry D Honey, Julia R L King, et al.
Bipolar Disorders|March 10, 2009
Structural abnormalities of ventrolateral and orbitofrontal cortex in patients with familial bipolar disorderAndrew C Stanfield, T William J Moorhead, Dominic E Job, et al.
The Journal of Clinical Investigation|August 25, 2015
The cortical thickness phenotype of individuals with DISC1 translocation resembles schizophreniaOrla M Doyle, Catherine Bois, Pippa Thomson, 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.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|May 6, 2018
Common variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorderXiaoyan Li, Zhenwu Luo, Chunjie Gu, et al.
Pageof 81

Showing results (441-450 of 805) with videos related to

Sort By:
Pageof 81
Sleep|October 27, 2023
Comprehensive assessment of sleep duration, insomnia, and brain structure within the UK Biobank cohortAleks Stolicyn, Laura M Lyall, Donald M Lyall, et al.
Plos One|April 26, 2016
Cognitive Test Scores in UK Biobank: Data Reduction in 480,416 Participants and Longitudinal Stability in 20,346 ParticipantsDonald M Lyall, Breda Cullen, Mike Allerhand, et al.
Plos One|May 21, 2016
Correction: Cognitive Test Scores in UK Biobank: Data Reduction in 480,416 Participants and Longitudinal Stability in 20,346 ParticipantsDonald M Lyall, Breda Cullen, Mike Allerhand, 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.
Journal of Environmental Quality|October 17, 2025
Engaging stakeholders to strengthen coproduction of knowledge in the Long-Term Agroecosystem Research (LTAR) indicator frameworkAlia N DeLong, Matthew M McIntosh, Megan Donovan, et al.
Archives of General Psychiatry|December 8, 2010
Midbrain activation during Pavlovian conditioning and delusional symptoms in schizophreniaLiana Romaniuk, Garry D Honey, Julia R L King, et al.
Bipolar Disorders|March 10, 2009
Structural abnormalities of ventrolateral and orbitofrontal cortex in patients with familial bipolar disorderAndrew C Stanfield, T William J Moorhead, Dominic E Job, et al.
The Journal of Clinical Investigation|August 25, 2015
The cortical thickness phenotype of individuals with DISC1 translocation resembles schizophreniaOrla M Doyle, Catherine Bois, Pippa Thomson, 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.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|May 6, 2018
Common variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorderXiaoyan Li, Zhenwu Luo, Chunjie Gu, et al.
Pageof 81