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Plos One
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March 14, 2013
Prediction of depression in individuals at high familial risk of mood disorders using functional magnetic resonance imaging
Heather C Whalley, Jessika E Sussmann, Liana Romaniuk, et al.
Molecular Psychiatry
|
March 15, 2019
Genetic contributions to two special factors of neuroticism are associated with affluence, higher intelligence, better health, and longer life
W David Hill, Alexander Weiss, David C Liewald, et al.
Autonomic Neuroscience : Basic & Clinical
|
November 7, 2001
Epinephrine, vasodilation and hemoconcentration in syncopal, healthy men and women
J M Evans, F M Leonelli, M G Ziegler, et al.
Psychological Medicine
|
February 24, 2001
A factor model of the functional psychoses and the relationship of factors to clinical variables and brain morphology
A M McIntosh, A Forrester, S M Lawrie, et al.
European Journal of Human Genetics : EJHG
|
October 30, 2019
Genetic correlations between pain phenotypes and depression and neuroticism
Weihua Meng, Mark J Adams, Parminder Reel, et al.
Psychiatry Research
|
August 17, 2010
Functional magnetic resonance imaging of BDNF val66met polymorphism in unmedicated subjects at high genetic risk of schizophrenia performing a verbal memory task
Benjamin J Baig, Heather C Whalley, Jeremy Hall, et al.
Bjpsych Open
|
October 6, 2016
Low birth weight and features of neuroticism and mood disorder in 83 545 participants of the UK Biobank cohort
Donald M Lyall, Hazel M Inskip, Daniel Mackay, et al.
Neuroimage
|
August 24, 2006
Brain-behaviour relationships in people at high genetic risk of schizophrenia
G Katherine S Lymer, Dominic E Job, T William, et al.
Psychological Medicine
|
October 26, 2017
Polygenic risk for schizophrenia, transition and cortical gyrification: a high-risk study
E Neilson, C Bois, T-K Clarke, et al.
Biological Psychiatry
|
May 19, 2007
Increased prefrontal gyrification in a large high-risk cohort characterizes those who develop schizophrenia and reflects abnormal prefrontal development
Jonathan M Harris, T William J Moorhead, Patrick Miller, et al.
Page
of 81
Search research articles
Search
Showing results (371-380 of 805) with videos related to
Sort By:
Page
of 81
Plos One
|
March 14, 2013
Prediction of depression in individuals at high familial risk of mood disorders using functional magnetic resonance imaging
Heather C Whalley, Jessika E Sussmann, Liana Romaniuk, et al.
Molecular Psychiatry
|
March 15, 2019
Genetic contributions to two special factors of neuroticism are associated with affluence, higher intelligence, better health, and longer life
W David Hill, Alexander Weiss, David C Liewald, et al.
Autonomic Neuroscience : Basic & Clinical
|
November 7, 2001
Epinephrine, vasodilation and hemoconcentration in syncopal, healthy men and women
J M Evans, F M Leonelli, M G Ziegler, et al.
Psychological Medicine
|
February 24, 2001
A factor model of the functional psychoses and the relationship of factors to clinical variables and brain morphology
A M McIntosh, A Forrester, S M Lawrie, et al.
European Journal of Human Genetics : EJHG
|
October 30, 2019
Genetic correlations between pain phenotypes and depression and neuroticism
Weihua Meng, Mark J Adams, Parminder Reel, et al.
Psychiatry Research
|
August 17, 2010
Functional magnetic resonance imaging of BDNF val66met polymorphism in unmedicated subjects at high genetic risk of schizophrenia performing a verbal memory task
Benjamin J Baig, Heather C Whalley, Jeremy Hall, et al.
Bjpsych Open
|
October 6, 2016
Low birth weight and features of neuroticism and mood disorder in 83 545 participants of the UK Biobank cohort
Donald M Lyall, Hazel M Inskip, Daniel Mackay, et al.
Neuroimage
|
August 24, 2006
Brain-behaviour relationships in people at high genetic risk of schizophrenia
G Katherine S Lymer, Dominic E Job, T William, et al.
Psychological Medicine
|
October 26, 2017
Polygenic risk for schizophrenia, transition and cortical gyrification: a high-risk study
E Neilson, C Bois, T-K Clarke, et al.
Biological Psychiatry
|
May 19, 2007
Increased prefrontal gyrification in a large high-risk cohort characterizes those who develop schizophrenia and reflects abnormal prefrontal development
Jonathan M Harris, T William J Moorhead, Patrick Miller, et al.
Page
of 81