Sex is a defining feature of neuroimaging phenotypes in major brain disorders
Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population‐based samples have identified normative differences in brain structure between males and females, many of which are exacerbated in psychiatric and neurological...
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Published in | Human brain mapping Vol. 43; no. 1; pp. 500 - 542 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.01.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population‐based samples have identified normative differences in brain structure between males and females, many of which are exacerbated in psychiatric and neurological conditions. Still, sex differences in MRI outcomes are understudied, particularly in clinical samples with known sex differences in disease risk, prevalence, and expression of clinical symptoms. Here we review the existing literature on sex differences in adult brain structure in normative samples and in 14 distinct psychiatric and neurological disorders. We discuss commonalities and sources of variance in study designs, analysis procedures, disease subtype effects, and the impact of these factors on MRI interpretation. Lastly, we identify key problems in the neuroimaging literature on sex differences and offer potential recommendations to address current barriers and optimize rigor and reproducibility. In particular, we emphasize the importance of large‐scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta‐Analyses consortium, the UK Biobank, Human Connectome Project, and others to provide unprecedented power to evaluate sex‐specific phenotypes in major brain diseases.
Here, we review the human neuroimaging literature examining sex effects on adult brain structure using structural and diffusion MRI. We discuss normative sex differences based on population‐based studies as well as sex differences in 14 major brain diseases. Finally, we identify key barriers to advancing the science on neuroimaging sex effects and offer recommendations to mitigate these challenges, particularly through large‐scale neuroimaging. |
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Bibliography: | Funding information National Institute of Biomedical Imaging and Bioengineering, Grant/Award Numbers: P41 EB015922, U54 EB020403; National Institute of Mental Health, Grant/Award Numbers: R01 MH116147, T32 MH111360; National Institute on Aging, Grant/Award Numbers: F31 AG059356, P01 AG055367, R01 AG060610, R56 AG058854 Lauren E. Salminen and Meral A. Tubi contributed equally to this study. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-2 Funding information National Institute of Biomedical Imaging and Bioengineering, Grant/Award Numbers: P41 EB015922, U54 EB020403; National Institute of Mental Health, Grant/Award Numbers: R01 MH116147, T32 MH111360; National Institute on Aging, Grant/Award Numbers: F31 AG059356, P01 AG055367, R01 AG060610, R56 AG058854 |
ISSN: | 1065-9471 1097-0193 |
DOI: | 10.1002/hbm.25438 |