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Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study

Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study
Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study
Changes in brain morphology have been reported during development, ageing and in relation to different pathologies. Brain morphology described by the shape complexity of gyri and sulci can be captured and quantified using fractal dimension (FD). This measure of brain structural complexity, as well as brain volume, are associated with intelligence, but less is known about the sexual dimorphism of these relationships. In this paper, sex differences in the relationship between brain structural complexity and general intelligence (g) in two diverse geographic and cultural populations (UK and Indian) are investigated. 3D T1-weighted magnetic resonance imaging (MRI) data and a battery of cognitive tests were acquired from participants belonging to three different cohorts: Mysore Parthenon Cohort (MPC); Aberdeen Children of the 1950s (ACONF) and UK Biobank. We computed MRI derived structural brain complexity and g estimated from a battery of cognitive tests for each group. Brain complexity and volume were both positively corelated with intelligence, with the correlations being significant in women but not always in men. This relationship is seen across populations of differing ages and geographical locations and improves understanding of neurobiological sex-differences.
2045-2322
Sandu, Anca-Larisa
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Waiter, Gordon D
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Staff, Roger T.
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Nazlee, Nafeesa
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Habota, Tina
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McNeil, Chris J.
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Chapko, Dorota
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Williams, Justin H.
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Fall, Caroline
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Chandak, Giriraj R.
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Pene, Shailesh
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Krishna, Murali
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McIntosh, Andrew M.
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Whalley, Heather C.
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Kumaran, Kalyanaraman
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Krishnaveni, G.V.
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Murray, Alison
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Sandu, Anca-Larisa
49213100-73fa-4e89-99e1-43e4d91403a6
Waiter, Gordon D
1c59f56a-5813-421b-8a3e-c42d98dec2c9
Staff, Roger T.
44a843c5-9fce-4888-82fc-861c5c981f89
Nazlee, Nafeesa
69ca7f88-5cba-4215-9f2a-9ac4c27d5499
Habota, Tina
fe048309-daf7-43ca-8a0c-0e37ca8299b4
McNeil, Chris J.
c9e94ae2-91e4-499b-954e-38bc22853f4e
Chapko, Dorota
216be2e7-5e5a-49a8-b6e9-7786addae059
Williams, Justin H.
a83ec591-b409-4fc0-a912-51bd0d207a44
Fall, Caroline
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Chandak, Giriraj R.
d9d4d4ba-6a4b-450d-8889-02e599ca0e1c
Pene, Shailesh
358bf698-92cc-4a15-a706-0996b4cbe1e9
Krishna, Murali
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McIntosh, Andrew M.
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Whalley, Heather C.
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Kumaran, Kalyanaraman
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Krishnaveni, G.V.
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Murray, Alison
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Sandu, Anca-Larisa, Waiter, Gordon D, Staff, Roger T., Nazlee, Nafeesa, Habota, Tina, McNeil, Chris J., Chapko, Dorota, Williams, Justin H., Fall, Caroline, Chandak, Giriraj R., Pene, Shailesh, Krishna, Murali, McIntosh, Andrew M., Whalley, Heather C., Kumaran, Kalyanaraman, Krishnaveni, G.V. and Murray, Alison (2022) Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study. Scientific Reports, 12 (1), [11025]. (doi:10.1038/s41598-022-15208-4).

Record type: Article

Abstract

Changes in brain morphology have been reported during development, ageing and in relation to different pathologies. Brain morphology described by the shape complexity of gyri and sulci can be captured and quantified using fractal dimension (FD). This measure of brain structural complexity, as well as brain volume, are associated with intelligence, but less is known about the sexual dimorphism of these relationships. In this paper, sex differences in the relationship between brain structural complexity and general intelligence (g) in two diverse geographic and cultural populations (UK and Indian) are investigated. 3D T1-weighted magnetic resonance imaging (MRI) data and a battery of cognitive tests were acquired from participants belonging to three different cohorts: Mysore Parthenon Cohort (MPC); Aberdeen Children of the 1950s (ACONF) and UK Biobank. We computed MRI derived structural brain complexity and g estimated from a battery of cognitive tests for each group. Brain complexity and volume were both positively corelated with intelligence, with the correlations being significant in women but not always in men. This relationship is seen across populations of differing ages and geographical locations and improves understanding of neurobiological sex-differences.

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Accepted/In Press date: 17 June 2022
e-pub ahead of print date: 30 June 2022
Published date: 30 June 2022
Additional Information: Funding Information: This work was funded by a Global Challenges Research Fund pump priming award from the Medical Research Council Grant (Ref: MC_PC_MR/R019541/1); a DBT-Wellcome Trust India Alliance (Ref: IA/CPHS/16/1/502655) to GVK; a Wellcome Trust Strategic Award (Ref: 104036/Z/14/Z) to AMM and a Roland Sutton Academic Trust project (Ref: 0066/R/19) to ALS, GDW and ADM. Funding Information: AMM has received speakers’ fees from Illumina and Janssen, and research support from the Sackler Trust. These are not connected to the current investigation. Remaining authors report no conflicts of interest. Publisher Copyright: © 2022, The Author(s).

Identifiers

Local EPrints ID: 468227
URI: http://eprints.soton.ac.uk/id/eprint/468227
DOI: doi:10.1038/s41598-022-15208-4
ISSN: 2045-2322
PURE UUID: b00f785f-febc-4f82-a020-7b62bf3de36b
ORCID for Caroline Fall: ORCID iD orcid.org/0000-0003-4402-5552

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Date deposited: 08 Aug 2022 16:33
Last modified: 17 Mar 2024 02:36

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Contributors

Author: Anca-Larisa Sandu
Author: Gordon D Waiter
Author: Roger T. Staff
Author: Nafeesa Nazlee
Author: Tina Habota
Author: Chris J. McNeil
Author: Dorota Chapko
Author: Justin H. Williams
Author: Caroline Fall ORCID iD
Author: Giriraj R. Chandak
Author: Shailesh Pene
Author: Murali Krishna
Author: Andrew M. McIntosh
Author: Heather C. Whalley
Author: Kalyanaraman Kumaran
Author: G.V. Krishnaveni
Author: Alison Murray

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