scholarly journals Resting-State Connectivity and Its Association With Cognitive Performance, Educational Attainment, and Household Income in the UK Biobank

2018 ◽  
Vol 3 (10) ◽  
pp. 878-886 ◽  
Author(s):  
Xueyi Shen ◽  
Simon R. Cox ◽  
Mark J. Adams ◽  
David M. Howard ◽  
Stephen M. Lawrie ◽  
...  
2017 ◽  
Author(s):  
Xueyi Shen ◽  
Simon R Cox ◽  
Mark J Adams ◽  
David M Howard ◽  
Stephen M Lawrie ◽  
...  

AbstractCognitive ability is an important predictor of lifelong physical and mental well-being and its impairments are associated with many psychiatric disorders. Higher cognitive ability is also associated with greater educational attainment and increased household income. Understanding neural mechanisms underlying cognitive ability is therefore of crucial importance for determining the nature of these associations. In the current study, we examined the spontaneous activity of the brain at rest to investigate its relationships with not only cognitive ability, but also educational attainment and household income. We used a large sample of resting-state neuroimaging data from UK Biobank (N=3,950). Firstly, analysis at the whole-brain level showed that connections involving the default mode network (DMN), fronto-parietal network (FPN) and cingulo-opercular network (CON) were significantly positively associated with levels of cognitive performance assessed by a verbal-numerical reasoning test (standardised β ranged from 0.054 to 0.097). Connections associated with higher levels of cognitive performance were also significantly positively associated with educational attainment (r=0.48, N=4,160) and household income (r=0.38, N=3,793). Further, analysis on the coupling of functional networks showed that better cognitive performance was associated with more positive DMN-CON connections, decreased cross-hemisphere connections between homotopic network in CON and FPN, and stronger CON-FPN connections (absolute β ranged from 0.034 to 0.063). The present study finds that variation in brain resting state functional connectivity associated with individual differences in cognitive ability, largely involving DMN and lateral prefrontal networks. Additionally, we provide further evidence of shared neural associations of cognitive ability, educational attainment, and household income.


2018 ◽  
Vol 29 (8) ◽  
pp. 3471-3481 ◽  
Author(s):  
Tian Ge ◽  
Chia-Yen Chen ◽  
Alysa E Doyle ◽  
Richard Vettermann ◽  
Lauri J Tuominen ◽  
...  

Abstract Individual differences in educational attainment are linked to differences in intelligence, and predict important social, economic, and health outcomes. Previous studies have found common genetic factors that influence educational achievement, cognitive performance and total brain volume (i.e., brain size). Here, in a large sample of participants from the UK Biobank, we investigate the shared genetic basis between educational attainment and fine-grained cerebral cortical morphological features, and associate this genetic variation with a related aspect of cognitive ability. Importantly, we execute novel statistical methods that enable high-dimensional genetic correlation analysis, and compute high-resolution surface maps for the genetic correlations between educational attainment and vertex-wise morphological measurements. We conduct secondary analyses, using the UK Biobank verbal–numerical reasoning score, to confirm that variation in educational attainment that is genetically correlated with cortical morphology is related to differences in cognitive performance. Our analyses relate the genetic overlap between cognitive ability and cortical thickness measurements to bilateral primary motor cortex as well as predominantly left superior temporal cortex and proximal regions. These findings extend our understanding of the neurobiology that connects genetic variation to individual differences in educational attainment and cognitive performance.


2018 ◽  
Author(s):  
Tian Ge ◽  
Chia-Yen Chen ◽  
Alysa E. Doyle ◽  
Richard Vettermann ◽  
Lauri J. Tuominen ◽  
...  

AbstractIndividual differences in educational attainment are linked to differences in intelligence, and predict important social, economic and health outcomes. Previous studies have found common genetic factors that influence educational achievement, cognitive performance and total brain volume (i.e., brain size). Here, in a large sample of participants from the UK Biobank, we investigate the shared genetic basis between educational attainment and fine-grained cerebral cortical morphological features, and associate this genetic variation with a related aspect of cognitive ability. Importantly, we execute novel statistical methods that enable high-dimensional genetic correlation analysis, and compute high-resolution surface maps for the genetic correlations between educational attainment and vertex-wise morphological measurements. We conduct secondary analyses, using the UK Biobank verbal-numerical reasoning score, to confirm that variation in educational attainment that is genetically correlated with cortical morphology is related to differences in cognitive performance. Our analyses reveal the genetic overlap between cognitive ability and cortical thickness measurements in bilateral primary motor cortex and predominantly left superior temporal cortex and proximal regions. These findings may contribute to our understanding of the neurobiology that connects genetic variation to individual differences in educational attainment and cognitive performance.


2017 ◽  
Vol 38 ◽  
pp. 85-91 ◽  
Author(s):  
Simon D. Kyle ◽  
Claire E. Sexton ◽  
Bernd Feige ◽  
Annemarie I. Luik ◽  
Jacqueline Lane ◽  
...  

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A119-A120
Author(s):  
SD Kyle ◽  
C Sexton ◽  
B Feige ◽  
M Rutter ◽  
K Spiegelhalder

Author(s):  
Aniruddh P. Patel ◽  
Manish D. Paranjpe ◽  
Nina P. Kathiresan ◽  
Manuel A. Rivas ◽  
Amit V. Khera

Preliminary reports suggest that the Coronavirus Disease 2019 (COVIDâ^’19) pandemic has led to disproportionate morbidity and mortality among historically disadvantaged populations. The extent to which these disparities are related to socioeconomic versus biologic factors is largely unknown. We investigate the racial and socioeconomic associations of COVIDâ^’19 hospitalization among 418,794 participants of the UK Biobank, of whom 549 (0.13%) had been hospitalized. Both black participants (odds ratio 3.4; 95%CI 2.4â^’4.9) and Asian participants (odds ratio 2.1; 95%CI 1.5â^’3.2) were at substantially increased risk as compared to white participants. We further observed a striking gradient in COVIDâ^’19 hospitalization rates according to the Townsend Deprivation Index â^’ a composite measure of socioeconomic deprivation â^’ and household income. Adjusting for such factors led to only modest attenuation of the increased risk in black participants, adjusted odds ratio 3.1 (95%CI 2.0â^’4.8). These observations confirm and extend earlier preliminary and lay press reports of higher morbidity in non-white individuals in the context of a large population of participants in a national biobank. The extent to which this increased risk relates to variation in pre-existing comorbidities, differences in testing or hospitalization patterns, or additional disparities in social determinants of health warrants further study.


2019 ◽  
Vol 70 (1) ◽  
pp. e439
Author(s):  
Raquel Garcia-Garcia ◽  
Juan José Gallego ◽  
Alvaro Javier Cruz-Gómez ◽  
María Pilar Ballester ◽  
Alba Mangas-Losada ◽  
...  

2010 ◽  
Vol 6 ◽  
pp. e60-e60
Author(s):  
David T. Jones ◽  
Mary Machulda ◽  
Eric McDade ◽  
Prashanthi Vemuri ◽  
Guang Zeng ◽  
...  

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