Abstract
It is well established that higher cognitive ability is associated with larger brain size. However, individual variation in intelligence exists despite brain size and recent studies have shown that a simple unifactorial view of the neurobiology underpinning cognitive ability is probably unrealistic. Educational attainment (EA) is often used as a proxy for cognitive ability since it is easily measured, resulting in large sample sizes and, consequently, sufficient statistical power to detect small associations. This study investigates the association between three global (total surface area (TSA), intra-cranial volume (ICV) and average cortical thickness) and 34 regional cortical measures with educational attainment using a polygenic scoring (PGS) approach. Analyses were conducted on two independent target samples of young twin adults with neuroimaging data, from Australia (N = 1097) and the USA (N = 723), and found that higher EA-PGS were significantly associated with larger global brain size measures, ICV and TSA (R2 = 0.006 and 0.016 respectively, p < 0.001) but not average thickness. At the regional level, we identified seven cortical regions—in the frontal and temporal lobes—that showed variation in surface area and average cortical thickness over-and-above the global effect. These regions have been robustly implicated in language, memory, visual recognition and cognitive processing. Additionally, we demonstrate that these identified brain regions partly mediate the association between EA-PGS and cognitive test performance. Altogether, these findings advance our understanding of the neurobiology that underpins educational attainment and cognitive ability, providing focus points for future research.
Original language | English |
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Article number | 116691 |
Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | NeuroImage |
Volume | 212 |
Early online date | 29 Feb 2020 |
DOIs | |
Publication status | Published - 15 May 2020 |
Funding
BLM is grateful for support from Queensland University of Technology through a QUT Postgraduate Research Scholarship. MER thanks the support of the Australian National Health & Medical Research Council (NHMRC) and the Australian Research Council (ARC) , through a NHMRC-ARC Dementia Research Development Fellowship ( GNT1102821 ). PMT was supported in part by NIH grant U54 EB020403 . We are very grateful to the twins for their generosity of time and willingness to participate in these studies and thank the many research assistants and support staff who helped with data collection and processing. The QTIM study was supported by the National Institute of Child Health and Human Development ( R01 HD050735 ), and the Australian National Health and Medical Research Council (NHMRC 486682 , 1009064 ). Data were provided [in part] by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centres that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University.
Funders | Funder number |
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Australian National Health and Medical Research Council | 1U54MH091657 |
NHMRC-ARC | GNT1102821 |
National Health & Medical Research Council | |
National Institutes of Health | |
National Institute of Biomedical Imaging and Bioengineering | U54EB020403 |
National Institute of Child Health and Human Development | R01 HD050735 |
NIH Blueprint for Neuroscience Research | |
McDonnell Center for Systems Neuroscience | |
Australian Research Council | |
National Health and Medical Research Council | 486682, 1009064 |
Queensland University of Technology |
Keywords
- Brain structure
- Broca's area
- Educational attainment
- Intelligence
- Polygenic scores