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Simon R. Cox
University of Edinburgh
120Publications
17H-index
1,485Citations
Publications 120
Newest
#1Gail Davies (Edin.: University of Edinburgh)H-Index: 46
#2Max LamH-Index: 11
Last.Ian J. Deary (Edin.: University of Edinburgh)H-Index: 121
view all 222 authors...
Christina M. Lill, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this article. This has now been corrected in both the PDF and HTML versions of the article.
#1Xueyi Shen (Edin.: University of Edinburgh)H-Index: 6
#2Mark J. Adams (Edin.: University of Edinburgh)H-Index: 20
Last.Heather C. Whalley (Edin.: University of Edinburgh)H-Index: 45
view all 0 authors...
Abstract Background Studies of white matter microstructure in depression typically show alterations in depressed individuals, but they are frequently limited by small sample sizes and the absence of longitudinal measures of depressive symptoms. Depressive symptoms are however dynamic and understanding the neurobiology of different trajectories could have important clinical implications. Methods We examined associations between current and longitudinal measures of depressive symptoms and white ma...
The use of machine learning (ML) algorithms has significantly increased in neuroscience. However, from the vast extent of possible ML algorithms, which one is the optimal model to predict the target variable? What are the hyperparameters for such a model? Given the plethora of possible answers to these questions, in the last years, automated machine learning (autoML) has been gaining attention. Here, we apply an autoML library called TPOT which uses a tree-based representation of machine learnin...
#1Emma Neilson (Royal Edinburgh Hospital)H-Index: 4
#2Xueyi Shen (Royal Edinburgh Hospital)H-Index: 6
Last.Stephen M. Lawrie (Royal Edinburgh Hospital)H-Index: 58
view all 14 authors...
Abstract Background Schizophrenia is a neurodevelopmental disorder with many genetic variants of individually small effect contributing to phenotypic variation. Lower cortical thickness (CT), surface area, and cortical volume have been demonstrated in people with schizophrenia. Furthermore, a range of obstetric complications (e.g., lower birth weight) are consistently associated with an increased risk for schizophrenia. We investigated whether a high polygenic risk score for schizophrenia (PGRS-...
#1Laura de Nooij (Edin.: University of Edinburgh)H-Index: 1
#2Mathew A. Harris (Edin.: University of Edinburgh)H-Index: 5
Last.Heather C. Whalley (Edin.: University of Edinburgh)H-Index: 45
view all 8 authors...
Background. The degree of cognitive impairment associated with lifetime Major Depressive Disorder (MDD) remains uncertain. Previous UK Biobank studies have only shown limited evidence for population-level cognitive differences associated with probable MDD. Here, we used an updated range of cognitive tasks and clinical assessment criteria in UK Biobank to investigate whether there are differences in cognitive function associated with lifetime MDD. Methods. Associations between lifetime MDD and co...
#1Clara Alloza (Hospital General Universitario Gregorio Marañón)H-Index: 5
#2Manuel Blesa-Cabez (Edin.: University of Edinburgh)
Last.Stephen M. Lawrie (Edin.: University of Edinburgh)H-Index: 58
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Schizophrenia is a highly heritable disorder with considerable phenotypic heterogeneity. Hallmark psychotic symptoms can be considered as existing on a continuum from non-clinical to clinical populations. Assessing genetic risk and psychotic-like experiences (PLEs) in non-clinical populations and their associated neurobiological underpinnings can offer valuable insights into symptom-associated brain mechanisms without the potential confounds of the effects of schizophrenia and its treatment. We ...
#1Ian J. Deary (Edin.: University of Edinburgh)H-Index: 121
#2Stuart J. Ritchie ('KCL': King's College London)H-Index: 23
Last.Mark E. Bastin (Edin.: University of Edinburgh)H-Index: 49
view all 9 authors...
It is suggested that the brain’s peak width of skeletonised water mean diffusivity (PSMD) is a neuro-biomarker of processing speed, an important aspect of cognitive ageing. We tested whether PSMD is more strongly correlated with processing speed than with other cognitive domains, and more strongly than other structural brain MRI indices. Participants were 731 Lothian Birth Cohort 1936 members, mean age 73 years (SD=0.7); analytical sample was 656-680. Cognitive domains tested were: processing sp...
#1Simon R. Cox (Edin.: University of Edinburgh)H-Index: 4
#2Donald M. Lyall (Glas.: University of Glasgow)H-Index: 13
Last.Ian J. Deary (Edin.: University of Edinburgh)H-Index: 121
view all 24 authors...
AIMS: Several factors are known to increase risk for cerebrovascular disease and dementia, but there is limited evidence on associations between multiple vascular risk factors (VRFs) and detailed aspects of brain macrostructure and microstructure in large community-dwelling populations across middle and older age. METHODS AND RESULTS: Associations between VRFs (smoking, hypertension, pulse pressure, diabetes, hypercholesterolaemia, body mass index, and waist-hip ratio) and brain structural and d...
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