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Vosberg DE. Sex and Gender in Population Neuroscience. Curr Top Behav Neurosci 2024. [PMID: 38509404 DOI: 10.1007/7854_2024_468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
To understand psychiatric and neurological disorders and the structural and functional properties of the human brain, it is essential to consider the roles of sex and gender. In this chapter, I first define sex and gender and describe studies of sex differences in non-human animals. In humans, I describe the sex differences in behavioral and clinical phenotypes and neuroimaging-derived phenotypes, including whole-brain measures, regional subcortical and cortical measures, and structural and functional connectivity. Although structural whole-brain sex differences are large, regional effects (adjusting for whole-brain volumes) are typically much smaller and often fail to replicate. Nevertheless, while an individual neuroimaging feature may have a small effect size, aggregating them in a "maleness/femaleness" score or machine learning multivariate paradigm may prove to be predictive and informative of sex- and gender-related traits. Finally, I conclude by summarizing emerging investigations of gender norms and gender identity and provide methodological recommendations to incorporate sex and gender in population neuroscience research.
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Affiliation(s)
- Daniel E Vosberg
- Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, QC, Canada.
- Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada.
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2
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Bottenhorn KL, Cardenas-Iniguez C, Mills KL, Laird AR, Herting MM. Profiling intra- and inter-individual differences in brain development across early adolescence. Neuroimage 2023; 279:120287. [PMID: 37536527 PMCID: PMC10833064 DOI: 10.1016/j.neuroimage.2023.120287] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/27/2023] [Accepted: 07/19/2023] [Indexed: 08/05/2023] Open
Abstract
As we move toward population-level developmental neuroscience, understanding intra- and inter-individual variability in brain maturation and sources of neurodevelopmental heterogeneity becomes paramount. Large-scale, longitudinal neuroimaging studies have uncovered group-level neurodevelopmental trajectories, and while recent work has begun to untangle intra- and inter-individual differences, they remain largely unclear. Here, we aim to quantify both intra- and inter-individual variability across facets of neurodevelopment across early adolescence (ages 8.92 to 13.83 years) in the Adolescent Brain Cognitive Development (ABCD) Study and examine inter-individual variability as a function of age, sex, and puberty. Our results provide novel insight into differences in annualized percent change in macrostructure, microstructure, and functional brain development from ages 9-13 years old. These findings reveal moderate age-related intra-individual change, but age-related differences in inter-individual variability only in a few measures of cortical macro- and microstructure development. Greater inter-individual variability in brain development were seen in mid-pubertal individuals, except for a few aspects of white matter development that were more variable between prepubertal individuals in some tracts. Although both sexes contributed to inter-individual differences in macrostructure and functional development in a few regions of the brain, we found limited support for hypotheses regarding greater male-than-female variability. This work highlights pockets of individual variability across facets of early adolescent brain development, while also highlighting regional differences in heterogeneity to facilitate future investigations in quantifying and probing nuances in normative development, and deviations therefrom.
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Affiliation(s)
- Katherine L Bottenhorn
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St, Los Angeles, CA 90032, USA; Department of Psychology, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St, Los Angeles, CA 90032, USA
| | - Kathryn L Mills
- Department of Psychology, University of Oregon, 1227 University St, Eugene, OR 97403, USA
| | - Angela R Laird
- Department of Physics, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA
| | - Megan M Herting
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St, Los Angeles, CA 90032, USA.
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3
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Halsey LG, Careau V, Ainslie PN, Alemán-Mateo H, Andersen LF, Anderson LJ, Arab L, Baddou I, Bandini L, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Brage S, Buchowski MS, Butte NF, Camps SG, Casper R, Close GL, Colbert LH, Cooper JA, Cooper R, Dabare P, Das SK, Davies PSW, Deb S, Nyström CD, Dietz W, Dugas LR, Eaton S, Ekelund U, Hamdouchi AE, Entringer S, Forrester T, Fudge BW, Gillingham M, Goris AH, Gurven M, Haisma H, Hambly C, Hoffman DJ, Hoos MB, Hu S, Joonas N, Joosen A, Katzmarzyk P, Kempen KP, Kimura M, Kraus WE, Kriengsinyos W, Kuriyan R, Kushner RF, Lambert EV, Lanerolle P, Larsson CL, Lessan N, Löf M, Martin CK, Matsiko E, Meijer GA, Morehen JC, Morton JP, Must A, Neuhouser M, Nicklas TA, Ojiambo RM, Pietilainen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich R, Racette SB, Raichen DA, Ravussin E, Redman L, Reilly JJ, Reynolds RM, Roberts S, Samaranayake D, Sardinha LB, Schuit AJ, Silva AM, Sinha S, Sjödin AM, Stice E, Stunkard A, Urlacher SS, Valencia ME, Valenti G, van Etten LM, Van Mil EA, Verbunt JA, Wells JCK, Wilson G, Wood B, Yoshida T, Zhang X, Murphy-Alford A, Loechl C, Luke A, Pontzer H, Rood J, Sagayama H, Westerterp KR, Wong WW, Yamada Y, Speakman JR. Greater male variability in daily energy expenditure develops through puberty. Biol Lett 2023; 19:20230152. [PMID: 37727077 PMCID: PMC10509569 DOI: 10.1098/rsbl.2023.0152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/31/2023] [Indexed: 09/21/2023] Open
Abstract
There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.
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Affiliation(s)
- Lewis G. Halsey
- School of Life and Health Sciences, University of Roehampton, London SW15 4JD, UK
| | - Vincent Careau
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Philip N. Ainslie
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Heliodoro Alemán-Mateo
- Coordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Carretera Gustavo Enrique Astiazarán Rosas, No. 46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Lene F. Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway
| | - Liam J. Anderson
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Leonore Arab
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Issad Baddou
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN-Université Ibn Tofail, Rabat, PC.10100, Morocco
| | - Linda Bandini
- University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Kweku Bedu-Addo
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Ellen E. Blaak
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - Stephane Blanc
- Institut Pluridisciplinaire Hubert Curien, CNRS Université de Strasbourg, Strasbourg, France
| | | | - Carlijn V. C. Bouten
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven Unversity of Technology, Eindhoven, The Netherlands
| | - Pascal Bovet
- University Center for primary care and public health (Unisante), 1012 Lausanne, Switzerland
| | - Soren Brage
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Maciej S. Buchowski
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Nancy F. Butte
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, 77030, USA
| | - Stephan G. Camps
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Regina Casper
- Stanford University School of Medicine, Department of Psychiatry, Stanford, CA 94305, USA
| | - Graeme L. Close
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | | | | | - Richard Cooper
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL 60153, USA
| | - Prasangi Dabare
- Department of Physiotherapy, Faculty of Allied Health Sciences, General Sir John Kotelawala Defence University, Sri Lanka
| | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, 02111, USA
| | - Peter S. W. Davies
- Child Health Research Centre, Level 6 Centre for Children's Health Research, University of Queensland, 62 Graham Street, South Brisbane, Queensland, 4101, Australia
| | - Sanjoy Deb
- Centre for Nutraceuticals, School of Life Sciences, University of Westminster, London, UK
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Lara R. Dugas
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL 60153, USA
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Simon Eaton
- UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, PO Box 4014, 0806 Ulleval Stadion, Oslo, Norway
| | - Asmaa El Hamdouchi
- Unité Mixte de Recherche en Nutrition et Alimentation, CNESTEN-Université Ibn Tofail, Rabat, PC.10100, Morocco
| | - Sonja Entringer
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
- University of California Irvine, Irvine, CA, USA
| | - Terrence Forrester
- Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica
| | - Barry W. Fudge
- Physiology Department, Aspire Academy, Doha, PO Box 22287, Qatar
| | - Melanie Gillingham
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Annelies H. Goris
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Hinke Haisma
- Population Research Centre, Faculty of Spatial Sciences, Landleven 1, 9747AD, University of Groningen, Groningen, Netherlands
| | - Catherine Hambly
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, UK
| | - Daniel J. Hoffman
- Department of Nutritional Sciences, Program in International Nutrition, Rutgers University, New Brunswick, NJ 08901 USA
| | - Marije B. Hoos
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - Sumei Hu
- Institute of Genetics and development Biology, Chinese Academy of Sciences, Beichen Xi lu, Beijing, People's Republic of China
| | - Noorjehan Joonas
- Central health Laboratory, Ministry of Health and Wellness, Port Louis, 72259, Mauritius
| | - Annemiek Joosen
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Peter Katzmarzyk
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Kitty P. Kempen
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Misaka Kimura
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
| | | | | | - Rebecca Kuriyan
- Division of Nutrition, St John's Research Institute, Bangalore, Karnataka - 560034, India
| | | | - Estelle V. Lambert
- Health through Physical Activity, Lifestyle and Sport Research Centre, Division of Exercise Science and Sports Medicine (ESSM), FIMS International Collaborating Centre of Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Pulani Lanerolle
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Christel L. Larsson
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg SE-405 30, Sweden
| | - Nader Lessan
- Imperial College London Diabetes Centre, Abu Dhabi, United Arab Emirates
| | - Marie Löf
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Corby K. Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Eric Matsiko
- Department of Human Nutrition and Dietetics, University of Rwanda, Kigali, Rwanda
| | - Gerwin A. Meijer
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - James C. Morehen
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - James P. Morton
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Aviva Must
- Tufts University School of Medicine, Boston, USA
| | - Marian Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, 98109, USA
| | - Theresa A. Nicklas
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, 77030, USA
| | - Robert M. Ojiambo
- Moi University, Eldoret, Kenya
- University of Global Health Equity, Rwanda
| | | | | | - Jacob Plange-Rhule
- Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Ross L. Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and School of Public Health, University of Washington, Seattle, WA, 98109, USA
| | | | - Susan B. Racette
- College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA
| | - David A. Raichen
- Biological Sciences and Anthropology, University of Southern California, CA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Leanne Redman
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - John J. Reilly
- Department of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Rebecca M. Reynolds
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK
| | - Susan Roberts
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, 02111, USA
| | - Dulani Samaranayake
- Department of Community Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Luís B. Sardinha
- Exercise and health laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Portugal
| | - Albertine J. Schuit
- Executive Board, Tilburg University, Tilburg, Noord-Brabant, 5037 AB, The Netherlands
| | - Analiza M. Silva
- Exercise and health laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Portugal
| | - Srishti Sinha
- Division of Nutrition, St John's Research Institute, Bangalore, Karnataka - 560034, India
| | - Anders M. Sjödin
- Department of Nutrition, Exercise and Sports, Copenhagen University, Copenhagen, Denmark
| | - Eric Stice
- PhD Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA 94305
| | - Albert Stunkard
- University of Pennsylvania Perelman School of Medicine Department of Psychiatry
| | | | - Mauro Eduardo Valencia
- Coordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Carretera Gustavo Enrique Astiazarán Rosas, No. 46, Col. La Victoria, C.P. 83304, Hermosillo, Sonora, México
| | - Giulio Valenti
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Ludo M. van Etten
- Department of Nutrition and Movement Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
| | - Edgar A. Van Mil
- Chair Youth, Food and Health, Maastricht University, 5911 BV, Venlo, and Lifestyle Medicine Center for Children, Jeroen Bosch Hospital 5223 GW `s-Hertogenbosch, The Netherlands
| | - Jeanine A. Verbunt
- imec within OnePlanet Research Center, 6708 WE, Wageningen, The Netherlands
| | - Jonathan C. K. Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
| | - George Wilson
- Research Institute for Sport & Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK
| | - Brian Wood
- University of California Los Angeles, Los Angeles, 90095, USA
- Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Alexia Murphy-Alford
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Cornelia Loechl
- Nutritional and Health Related Environmental Studies Section, Division of Human Health, International Atomic Energy Agency, Vienna, Austria
| | - Amy Luke
- Department of Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL 60153, USA
| | - Herman Pontzer
- Dept. of Evolutionary Anthropology, Duke University, Durham NC 27708, USA
- Duke Global Health Institute, Duke University, Durham NC 27708, USA
| | - Jennifer Rood
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Klaas R. Westerterp
- Department of Human Biology, Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, 6200 MD, Netherlands
| | - William W. Wong
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, TX, 77030, USA
| | - Yosuke Yamada
- Institute for Active Health, Kyoto University of Advanced Science, Kyoto, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - John R. Speakman
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, UK
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
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Halsey LG, Esteves GP, Dolan E. Variability in variability: does variation in morphological and physiological traits differ between men and women? ROYAL SOCIETY OPEN SCIENCE 2023; 10:230713. [PMID: 37680495 PMCID: PMC10480696 DOI: 10.1098/rsos.230713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/14/2023] [Indexed: 09/09/2023]
Abstract
Many researchers presume greater variability between female participants than between males due to the menstrual cycle. This view has encouraged a sex bias in health and medical research, resulting in considerable knowledge gaps with important clinical implications. Yet in another field-evolutionary biology-the received wisdom is the reverse: that men are more variable, possibly due to male heterogamety. To test these competing hypotheses, we compared variance between the sexes for 50 morphological and physiological traits, analysing data from the NHANES database. Nearly half the traits did not exhibit sexual dimorphism in variation, while 18 exhibited greater female variation (GFV), indicating GFV does not dominate human characteristics. Only eight traits exhibited greater male variation (GMV), indicating GMV also does not dominate, and in turn offering scant support for the heterogamety hypothesis. When our analysis was filtered to include only women with regular menstrual cycles (and men of equivalent age), the number of traits with GFV and GMV were low and not statistically different, suggesting that the menstrual cycle does not typically explain GFV when it occurs. In practical terms, health and medical researchers should no longer simply assume that female participants will induce additional variation in the traits of interest.
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Affiliation(s)
- Lewis G. Halsey
- School of Life and Health Sciences, University of Roehampton, London SW15 4JD, UK
| | - Gabriel P. Esteves
- Applied Physiology and Nutrition Research Group, Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Eimear Dolan
- Applied Physiology and Nutrition Research Group, Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil
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5
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Browne KR. The disjunction between evolutionary psychology and sex-discrimination law and policy. EVOL HUM BEHAV 2023. [DOI: 10.1016/j.evolhumbehav.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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6
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van den Berg M, Wallen H, Salmi AK. The osteometric identification of castrated reindeer ( Rangifer tarandus) and the significance of castration in tracing human-animal relationships in the North. ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES 2022; 15:3. [PMID: 36514485 PMCID: PMC9734228 DOI: 10.1007/s12520-022-01696-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/15/2022] [Indexed: 06/17/2023]
Abstract
UNLABELLED Reindeer are the only domestic cervid and have formed the cosmologies and practical daily lives of numerous peoples in the Northern Hemisphere for thousands of years. The questions of when, how, and where reindeer domestication originated and how it developed remain one of the scientific enigmas of our time. The practice of reindeer castration is an essential feature of all communities practicing reindeer herding today. It has probably been one of the most important interventions in the reindeer's life cycle and biology that marked the start of domesticating human-reindeer relationships long ago. Castration is and has been essential for reindeer taming, control, training, herd management, and ritual practices. Unsuitably, to this present day, there are no methods zooarchaeologists can employ to distinguish a reindeer gelding from a reindeer bull in the archaeological record. In this current paper, we outline a new method that presents the possibility of differentiating between full males, castrated males, and females based on osteometric features. We measured the leg bones and pelvis of the complete or partial skeletons of 97 adult modern domestic reindeer individuals to determine the precise effects castration has on skeletal size and morphology. We explored our osteometric dataset with different statistical methods. We found a clear separation of the two male groups in the radioulna, humerus, and femur but in the tibia and metapodials to a lesser extent. Osteometric depth and width were generally more affected than the longitudinal axis. Females were easily distinguishable from castrates and full males based on nearly every bone measurement. Our analysis shows that reindeer castration can be proven through osteometric analysis. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12520-022-01696-y.
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Affiliation(s)
- Mathilde van den Berg
- Archaeology, History, Culture and Communication Studies, Faculty of Humanities, University of Oulu, Oulu, Finland
| | - Henri Wallen
- Archaeology, History, Culture and Communication Studies, Faculty of Humanities, University of Oulu, Oulu, Finland
- Arctic Centre, University of Lapland, Rovaniemi, Finland
| | - Anna-Kaisa Salmi
- Archaeology, History, Culture and Communication Studies, Faculty of Humanities, University of Oulu, Oulu, Finland
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7
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Colby AE, DeCasien AR, Cooper EB, Higham JP. Greater variability in rhesus macaque ( Macaca mulatta) endocranial volume among males than females. Proc Biol Sci 2022; 289:20220728. [PMID: 36350207 PMCID: PMC9653222 DOI: 10.1098/rspb.2022.0728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 10/05/2022] [Indexed: 11/11/2023] Open
Abstract
The greater male variability (GMV) hypothesis proposes that traits are more variable among males than females, and is supported by numerous empirical studies. Interestingly, GMV is also observed for human brain size and internal brain structure, a pattern which may have implications for sex-biased neurological and psychiatric conditions. A better understanding of neuroanatomical variability in non-human primates may illuminate whether certain species are appropriate models for these conditions. Here, we tested for sex differences in the variability of endocranial volume (ECV, a proxy for brain size) in a sample of 542 rhesus macaques (Macaca mulatta) from a large pedigreed free-ranging population. We also examined the components of phenotypic variance (additive genetic and residual variance) to tease apart the potential drivers of sex differences in variability. Our results suggest that males exhibit more variable ECVs, and that this pattern reflects either balancing/disruptive selection on male behaviour (associated with alternative male mating strategies) or sex chromosome effects (associated with mosaic patterns of X chromosome gene expression in females), rather than extended neurodevelopment among males. This represents evidence of GMV for brain size in a non-human primate species and highlights the potential of rhesus macaques as a model for sex-biased brain-based disorders.
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Affiliation(s)
- Abigail E. Colby
- Department of Anthropology, New York University, New York, NY, USA
- Department of Anthropology and Archaeology, University of Calgary, Calgary, AB, Canada
| | - Alex R. DeCasien
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
- Section on Developmental Neurogenomics, National Institutes of Health, Bethesda, MD, USA
| | - Eve B. Cooper
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - James P. Higham
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
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Kaluve AM, Le JT, Graham BM. Female rodents are not more variable than male rodents: a meta-analysis of preclinical studies of fear and anxiety. Neurosci Biobehav Rev 2022; 143:104962. [DOI: 10.1016/j.neubiorev.2022.104962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/29/2022] [Accepted: 11/13/2022] [Indexed: 11/18/2022]
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Variability in energy expenditure is much greater in males than females. J Hum Evol 2022; 171:103229. [PMID: 36115145 PMCID: PMC9791915 DOI: 10.1016/j.jhevol.2022.103229] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 06/01/2022] [Accepted: 06/12/2022] [Indexed: 11/24/2022]
Abstract
In mammals, trait variation is often reported to be greater among males than females. However, to date, mainly only morphological traits have been studied. Energy expenditure represents the metabolic costs of multiple physical, physiological, and behavioral traits. Energy expenditure could exhibit particularly high greater male variation through a cumulative effect if those traits mostly exhibit greater male variation, or a lack of greater male variation if many of them do not. Sex differences in energy expenditure variation have been little explored. We analyzed a large database on energy expenditure in adult humans (1494 males and 3108 females) to investigate whether humans have evolved sex differences in the degree of interindividual variation in energy expenditure. We found that, even when statistically comparing males and females of the same age, height, and body composition, there is much more variation in total, activity, and basal energy expenditure among males. However, with aging, variation in total energy expenditure decreases, and because this happens more rapidly in males, the magnitude of greater male variation, though still large, is attenuated in older age groups. Considerably greater male variation in both total and activity energy expenditure could be explained by greater male variation in levels of daily activity. The considerably greater male variation in basal energy expenditure is remarkable and may be explained, at least in part, by greater male variation in the size of energy-demanding organs. If energy expenditure is a trait that is of indirect interest to females when choosing a sexual partner, this would suggest that energy expenditure is under sexual selection. However, we present a novel energetics model demonstrating that it is also possible that females have been under stabilizing selection pressure for an intermediate basal energy expenditure to maximize energy available for reproduction.
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Summers V. Sex differences in number of X chromosomes and X-chromosome inactivation in females promote greater variability in hearing among males. Biol Sex Differ 2022; 13:49. [PMID: 36114557 PMCID: PMC9482204 DOI: 10.1186/s13293-022-00457-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/27/2022] [Indexed: 01/19/2023] Open
Abstract
Background For more than 150 years, research studies have documented greater variability across males than across females (“greater male variability”—GMV) over a broad range of behavioral and morphological measures. In placental mammals, an ancient difference between males and females that may make an important contribution to GMV is the different pattern of activation of X chromosomes across cells in females (mosaic inactivation of one the two X chromosomes across cells) vs males (consistent activation of a single X chromosome in all cells). In the current study, variability in hearing thresholds was examined for human listeners with thresholds within the normal range. Initial analyses compared variability in thresholds across males vs. across females. If greater across-male than across-female variability was present, and if these differences in variability related to the different patterns X-chromosome activation in males vs. females, it was expected that correlations between related measures within a given subject (e.g., hearing thresholds at given frequency in the two ears) would be greater in males than females. Methods Hearing thresholds at audiometric test frequencies (500–6000 or 500–8000 Hz) were extracted from two datasets representing more than 8500 listeners with normal hearing (4590 males, 4376 females). Separate data analyses were carried out on each dataset to compare: (1) relative variability in hearing thresholds across males vs. across females at each test frequency; (2) correlations between both across-ear and within-ear hearing thresholds within males vs. within females, and (3) mean thresholds for females vs. males at each frequency. Results A consistent pattern of GMV in hearing thresholds was seen across frequencies in both datasets. In addition, both across-ear and within-ear correlations between thresholds were consistently greater in males than females. Previous studies have frequently reported lower mean thresholds for females than males for listeners with normal hearing. One of the datasets replicated this result, showing a clear and consistent pattern of lower mean thresholds for females. The second data set did not show clear evidence of this female advantage. Conclusions Hearing thresholds showed clear evidence of greater variability across males than across females and higher correlations across related threshold measures within males than within females. The results support a link between the observed GMV and the mosaic pattern of X-activation for females that is not present in males. Supplementary Information The online version contains supplementary material available at 10.1186/s13293-022-00457-9. Greater variability in hearing thresholds across males than females for human listeners with thresholds within the normal range. Higher within-ear and between-ear correlations between thresholds for males than females consistent with sex chromosome effects on variability NIH-mandated inclusion of sex as a biological variable should include sex differences in variability and underlying mechanisms
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Developmental noise is an overlooked contributor to innate variation in psychological traits. Behav Brain Sci 2022; 45:e171. [PMID: 36098433 DOI: 10.1017/s0140525x21001655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Stochastic developmental variation is an additional important source of variance - beyond genes and environment - that should be included in considering how our innate psychological predispositions may interact with environment and experience, in a culture-dependent manner, to ultimately shape patterns of human behaviour.
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Hyatt CS, Listyg BS, Owens MM, Carter NT, Carter DR, Lynam DR, Harden KP, Miller JD. Structural brain differences do not mediate the relations between sex and personality or psychopathology. J Pers 2022; 90:902-915. [PMID: 35122237 DOI: 10.1111/jopy.12704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 01/18/2022] [Accepted: 01/21/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Males and females tend to exhibit small but reliable differences in personality traits and indices of psychopathology that are relatively stable over time and across cultures. Previous work suggests that sex differences in brain structure account for differences in domains of cognition. METHODS We used data from the Human Connectome Project (N = 1098) to test whether sex differences in brain morphometry account for observed differences in the personality traits neuroticism and agreeableness, as well as symptoms of internalizing and externalizing psychopathology. We operationalized brain morphometry in three ways: omnibus measures (e.g., total gray matter volume), Glasser regions defined through a multi-modal parcellation approach, and Desikan regions defined by structural features of the brain. RESULTS Most expected sex differences in personality, psychopathology, and brain morphometry were observed, but the statistical mediation analyses were null: sex differences in brain morphometry did not account for sex differences in personality or psychopathology. CONCLUSIONS Men and women tend to exhibit meaningful differences in personality and psychopathology, as well as in omnibus morphometry and regional morphometric differences as defined by the Glasser and Desikan atlases, but these morphometric differences appear unrelated to the psychological differences.
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Wierenga LM, Doucet GE, Dima D, Agartz I, Aghajani M, Akudjedu TN, Albajes‐Eizagirre A, Alnæs D, Alpert KI, Andreassen OA, Anticevic A, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur‐Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, den Braber A, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Calhoun VD, Canales‐Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Chaim‐Avancini TM, Ching CRK, Clark VP, Conrod PJ, Conzelmann A, Crivello F, Davey CG, Dickie EW, Ehrlich S, van't Ent D, Fisher SE, Fouche J, Franke B, Fuentes‐Claramonte P, de Geus EJC, Di Giorgio A, Glahn DC, Gotlib IH, Grabe HJ, Gruber O, Gruner P, Gur RE, Gur RC, Gurholt TP, de Haan L, Haatveit B, Harrison BJ, Hartman CA, Hatton SN, Heslenfeld DJ, van den Heuvel OA, Hickie IB, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James AC, Jiang J, Jönsson EG, Joska JA, Kalnin AJ, Klein M, Koenders L, Kolskår KK, Krämer B, Kuntsi J, Lagopoulos J, Lazaro L, Lebedeva IS, Lee PH, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez‐Zalacaín I, Mataix‐Cols D, Mazoyer B, McDonald BC, McDonald C, McIntosh AM, McMahon KL, McPhilemy G, van der Meer D, Menchón JM, Naaijen J, Nyberg L, Oosterlaan J, Paloyelis Y, Pauli P, Pergola G, Pomarol‐Clotet E, Portella MJ, Radua J, Reif A, Richard G, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Sim K, Simmons A, Smoller JW, Sommer IE, Soriano‐Mas C, Stein DJ, Strike LT, Szeszko PR, Temmingh HS, Thomopoulos SI, Tomyshev AS, Trollor JN, Uhlmann A, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Wang L, Wang Y, Weber B, Wen W, West JD, Westlye LT, Whalley HC, Williams SCR, Wittfeld K, Wolf DH, Wright MJ, Yoncheva YN, Zanetti MV, Ziegler GC, de Zubicaray GI, Thompson PM, Crone EA, Frangou S, Tamnes CK. Greater male than female variability in regional brain structure across the lifespan. Hum Brain Mapp 2022; 43:470-499. [PMID: 33044802 PMCID: PMC8675415 DOI: 10.1002/hbm.25204] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/10/2020] [Accepted: 09/05/2020] [Indexed: 12/25/2022] Open
Abstract
For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.
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Affiliation(s)
- Lara M Wierenga
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands
- Leiden Institute for Brain and CognitionLeidenThe Netherlands
| | - Gaelle E Doucet
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Boys Town National Research HospitalOmahaNebraskaUSA
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, CityUniversity of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
- Department of Research & InnovationGGZ inGeestAmsterdamThe Netherlands
- Institute of Education and Child Studies, Forensic Family and Youth CareLeiden UniversityLeidenThe Netherlands
| | - Theophilus N Akudjedu
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
- Institute of Medical Imaging & Visualisation, Faculty of Health & Social SciencesBournemouth UniversityBournemouthUK
| | - Anton Albajes‐Eizagirre
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Alan Anticevic
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthUniversity of Heidelberg, Medical Faculty MannheimMannheimGermany
| | - Nuria Bargallo
- Imaging Diagnostic CenterHospital ClínicBarcelonaSpain
- Magnetic Resonance Image Core FacilityIDIBAPSBarcelonaSpain
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthUniversity of Heidelberg, Medical Faculty MannheimMannheimGermany
| | | | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
| | - Aurora Bonvino
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
| | - Dorret I Boomsma
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
| | - Stefan Borgwardt
- Department of PsychiatryUniversity of BaselBaselSwitzerland
- Department of PsychiatryUniversity of LübeckLübeckGermany
| | - Josiane Bourque
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- CHU Sainte‐Justine Research CenterMontrealQuebecCanada
| | - Anouk den Braber
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
- Alzheimer CenterAmsterdam UMC, Location VUMCAmsterdamThe Netherlands
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthUniversity of Heidelberg, Medical Faculty MannheimMannheimGermany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric HospitalUniversity of ZurichZurichSwitzerland
- Zurich Center for Integrative Human PhysiologyUniversity of ZurichZurichSwitzerland
- Neuroscience Centre ZurichUniversity and ETH ZurichZurichSwitzerland
| | - Alan Breier
- Department of PsychiatryIndiana University School of MedicineIndianapolisIndianaUSA
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
- Dementia Centre for Research Collaboration, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain CenterUtrecht UniversityUtrechtThe Netherlands
| | - Jan K Buitelaar
- Department of Cognitive NeuroscienceRadboud University Medical CentreNijmegenThe Netherlands
- Karakter Child and Adolescent Psychiatry University CentreNijmegenThe Netherlands
| | - Geraldo F Busatto
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Vince D Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State, Georgia TechAtlantaGeorgiaUSA
| | - Erick J Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Francisco X Castellanos
- Department of Child and Adolescent PsychiatryNYU Grossman School of MedicineNew YorkNew YorkUSA
- Nathan Kline Institute for Psychiatric ResearchOrangeburgNew YorkUSA
| | - Tiffany M Chaim‐Avancini
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Christopher RK Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Vincent P Clark
- Psychology Clinical Neuroscience Center, Department of PsychologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
- Mind Research NetworkAlbuquerqueNew MexicoUSA
| | - Patricia J Conrod
- CHU Sainte‐Justine Research CenterMontrealQuebecCanada
- Department of PsychiatryUniversity of MontrealMontrealCanada
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity of TübingenTübingenGermany
- Department of Psychology (Clinical Psychology II)PFH – Private University of Applied SciencesGöttingenGermany
| | - Fabrice Crivello
- Groupe d'Imagerie NeurofonctionnelleInstitut des Maladies NeurodégénérativesBordeauxFrance
| | - Christopher G Davey
- Centre for Youth Mental HealthUniversity of MelbourneParkvilleVictoriaAustralia
- OrygenParkvilleVictoriaAustralia
| | - Erin W Dickie
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Department of PsychiatryUniversity of TorontoTorontoCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Stefan Ehrlich
- Division of Psychological & Social Medicine and Developmental Neurosciences; Technische Universität Dresden, Faculty of MedicineUniversity Hospital C.G. CarusDresdenGermany
| | - Dennis van't Ent
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
| | - Simon E Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Jean‐Paul Fouche
- Department of Psychiatry and Neuroscience InstituteUniversity of Cape TownCape TownWestern CapeSouth Africa
| | - Barbara Franke
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| | - Paola Fuentes‐Claramonte
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | - Eco JC de Geus
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
| | | | - David C Glahn
- Tommy Fuss Center for Neuropsychiatric Disease Research, Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Olin Center for Neuropsychiatric Research, Institute of LivingHartford HospitalHartfordConnecticutUSA
| | - Ian H Gotlib
- Department of PsychologyStanford UniversityStanfordCaliforniaUSA
| | - Hans J Grabe
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General PsychiatryHeidelberg University HospitalHeidelbergGermany
| | - Patricia Gruner
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
| | - Raquel E Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain InstituteChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
| | - Ruben C Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Tiril P Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Lieuwe de Haan
- Department of Early PsychosisAmsterdam UMCAmsterdamThe Netherlands
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of PsychiatryThe University of Melbourne & Melbourne HealthMelbourneAustralia
| | - Catharina A Hartman
- Interdisciplinary Center Psychopathology and Emotion regulationUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Sean N Hatton
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Dirk J Heslenfeld
- Departments of Experimental and Clinical PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Odile A van den Heuvel
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
- Department of Anatomy & Neurosciences, Amsterdam NeuroscienceAmsterdam UMC, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Ian B Hickie
- Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Pieter J Hoekstra
- Department of PsychiatryUniversity of Groningen, University Medical Center GroningenGroningenThe Netherlands
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthUniversity of Heidelberg, Medical Faculty MannheimMannheimGermany
| | - Avram J Holmes
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
- Department of PsychologyYale UniversityNew HavenConnecticutUSA
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA
| | - Martine Hoogman
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
| | - Norbert Hosten
- Institute of Diagnostic Radiology and NeuroradiologyUniversity Medicine GreifswaldGreifswaldGermany
| | - Fleur M Howells
- Neuroscience InstituteUniversity of Cape TownCape TownWestern CapeSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownWestern CapeSouth Africa
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, University Medical Center Utrecht Brain CenterUtrecht UniversityUtrechtThe Netherlands
| | - Chaim Huyser
- De Bascule, Academic center child and adolescent psychiatryDuivendrechtThe Netherlands
- Amsterdam UMC Department of Child and Adolescent PsychiatryAmsterdamThe Netherlands
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Anthony C James
- Department of PsychiatryWarneford HospitalOxfordUK
- Highfield UnitWarneford HospitalOxfordUK
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Erik G Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - John A Joska
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownWestern CapeSouth Africa
| | - Andrew J Kalnin
- Department of RadiologyThe Ohio State University College of MedicineColumbusOhioUSA
| | | | - Marieke Klein
- Department of Psychiatry, University Medical Center Utrecht Brain CenterUtrecht UniversityUtrechtThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
| | - Laura Koenders
- Department of Early PsychosisAmsterdam UMCAmsterdamThe Netherlands
| | - Knut K Kolskår
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General PsychiatryHeidelberg University HospitalHeidelbergGermany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Jim Lagopoulos
- Sunshine Coast Mind and Neuroscience Thompson InstituteBirtinyaQueenslandAustralia
- University of the Sunshine CoastSunshine CoastQueenslandAustralia
| | - Luisa Lazaro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of Child and Adolescent Psychiatry and PsychologyHospital ClínicBarcelonaSpain
- August Pi i Sunyer Biomedical Research Institut (IDIBAPS)BarcelonaSpain
- Department of MedicineUniversity of BarcelonaBarcelonaSpain
| | - Irina S Lebedeva
- Laboratory of Neuroimaging and Multimodal AnalysisMental Health Research CenterMoscowRussia
| | - Phil H Lee
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of PsychiatryStellenbosch UniversityCape TownWestern CapeSouth Africa
| | | | - Sophie Maingault
- Institut des maladies neurodégénérativesUniversité de BordeauxBordeauxFrance
| | - Nicholas G Martin
- Genetic EpidemiologyQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Ignacio Martínez‐Zalacaín
- Department of Psychiatry, Bellvitge University HospitalBellvitge Biomedical Research Institute‐IDIBELLBarcelonaSpain
- Department of Clinical SciencesUniversity of BarcelonaBarcelonaSpain
| | - David Mataix‐Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Bernard Mazoyer
- University of BordeauxBordeauxFrance
- Bordeaux University HospitalBordeauxFrance
| | - Brenna C McDonald
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | | | - Katie L McMahon
- Herston Imaging Research Facility and School of Clinical SciencesQueensland University of Technology (QUT)BrisbaneQueenslandAustralia
- Faculty of Health, Institute of Health and Biomedical InnovationQueensland University of Technology (QUT)BrisbaneQueenslandAustralia
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtThe Netherlands
| | - José M Menchón
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of Psychiatry, Bellvitge University HospitalBellvitge Biomedical Research Institute‐IDIBELLBarcelonaSpain
- Department of Clinical SciencesUniversity of BarcelonaBarcelonaSpain
| | - Jilly Naaijen
- Department of Cognitive NeuroscienceRadboud University Medical CentreNijmegenThe Netherlands
| | - Lars Nyberg
- Department of Radiation SciencesUmeå UniversityUmeåSweden
- Department of Integrative Medical BiologyUmeå UniversityUmeåSweden
| | - Jaap Oosterlaan
- Emma Children's Hospital, Amsterdam UMC University of Amsterdam and Vrije Universiteit AmsterdamEmma Neuroscience Group, Department of Pediatrics, Amsterdam Reproduction & DevelopmentAmsterdamThe Netherlands
- Clinical Neuropsychology SectionVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Yannis Paloyelis
- Department of Neuroimaging, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
| | - Paul Pauli
- Department of PsychologyUniversity of WürzburgWürzburgGermany
- Centre of Mental Health, Medical FacultyUniversity of WürzburgWürzburgGermany
| | - Giulio Pergola
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
- Lieber Institute for Brain DevelopmentJohns Hopkins Medical CampusBaltimoreMary LandUSA
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | - Maria J Portella
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of PsychiatryInstitut d'Investigació Biomèdica Sant PauBarcelonaSpain
| | - Joaquim Radua
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
- Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital FrankfurtFrankfur am MaintGermany
| | - Geneviève Richard
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Joshua L Roffman
- Department of PsychiatryMassachusetts General Hospital and Harvard Medical SchoolCharlestownMassachusettsUSA
| | - Pedro GP Rosa
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Matthew D Sacchet
- Center for Depression, Anxiety, and Stress ResearchMcLean Hospital, Harvard Medical SchoolBelmontMassachusettsUSA
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
- Neuropsychiatric InstituteThe Prince of Wales HospitalRandwickNew South WalesAustralia
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
| | | | - Andrew J Saykin
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
- Indiana Alzheimer Disease CenterIndianapolisIndianaUSA
| | - Mauricio H Serpa
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingapore
| | - Andrew Simmons
- Department of Neuroimaging, Institute of PsychiatryPsychology and Neurology, King's College LondonLondonUK
| | - Jordan W Smoller
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Iris E Sommer
- Department of Biomedical Sciences of Cells and Systems, Rijksuniversiteit GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | - Carles Soriano‐Mas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)MadridSpain
- Department of Psychiatry, Bellvitge University HospitalBellvitge Biomedical Research Institute‐IDIBELLBarcelonaSpain
- Department of Psychobiology and Methodology in Health SciencesUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience InstituteUniversity of Cape TownCape TownWestern CapeSouth Africa
| | - Lachlan T Strike
- Queensland Brain InstituteUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Philip R Szeszko
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Mental Illness Research, Education and Clinical Center (MIRECC)James J. Peters VA Medical CenterNew YorkNew YorkUSA
| | - Henk S Temmingh
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownWestern CapeSouth Africa
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Alexander S Tomyshev
- Laboratory of Neuroimaging and Multimodal AnalysisMental Health Research CenterMoscowRussia
| | - Julian N Trollor
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Anne Uhlmann
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownWestern CapeSouth Africa
- Department of Child and Adolescent Psychiatry and PsychotherapyFaculty of Medicine Carl Gustav Carus of TU DresdenDresdenGermany
| | - Ilya M Veer
- Department of Psychiatry and Psychotherapy CCM, Charité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Dick J Veltman
- Department of Psychiatry & Amsterdam NeuroscienceAmsterdam UMC, location VUMCAmsterdamThe Netherlands
| | - Aristotle Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Department of PsychiatryUniversity of TorontoTorontoCanada
| | - Henry Völzke
- Institute for Community MedicineUniversity Medicine GreifswaldGreifswaldGermany
- DZHK (German Centre for Cardiovascular Research), partner site GreifswaldGreifswaldGermany
- DZD (German Center for Diabetes Research), partner site GreifswaldGreifswaldGermany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité ‐ Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Lei Wang
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Yang Wang
- Department of RadiologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Bernd Weber
- Institute for Experimental Epileptology and Cognition ResearchUniversity Hospital BonnBonnGermany
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - John D West
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Heather C Whalley
- Division of PsychiatryUniversity of EdinburghEdinburghUK
- Division of PsychiatryRoyal Edinburgh HospitalEdinburghUK
| | | | - Katharina Wittfeld
- Department of Psychiatry and PsychotherapyUniversity Medicine GreifswaldGreifswaldGermany
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
| | - Daniel H Wolf
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Margaret J Wright
- Queensland Brain InstituteUniversity of QueenslandBrisbaneQueenslandAustralia
- Centre for Advanced ImagingUniversity of QueenslandBrisbaneQueenslandAustralia
| | - Yuliya N Yoncheva
- Department of Child and Adolescent Psychiatry, NYU Child Study CenterHassenfeld Children's Hospital at NYU LangoneNew YorkNew YorkUSA
| | - Marcus V Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
- Instituto de Ensino e PesquisaHospital Sírio‐LibanêsSão PauloBrazil
| | - Georg C Ziegler
- Division of Molecular Psychiatry, Center of Mental HealthUniversity of WürzburgWürzburgGermany
| | - Greig I de Zubicaray
- Faculty of Health, Institute of Health and Biomedical InnovationQueensland University of Technology (QUT)BrisbaneQueenslandAustralia
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Eveline A Crone
- Institute of PsychologyLeiden UniversityLeidenThe Netherlands
- Leiden Institute for Brain and CognitionLeidenThe Netherlands
- Department of Psychology, Education and Child Studies (DPECS), Erasmus School of Social and Behavioral SciencesErasmus University RotterdamThe Netherlands
| | - Sophia Frangou
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Centre for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Christian K Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
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14
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Harrison LM, Noble DWA, Jennions MD. A meta-analysis of sex differences in animal personality: no evidence for the greater male variability hypothesis. Biol Rev Camb Philos Soc 2021; 97:679-707. [PMID: 34908228 DOI: 10.1111/brv.12818] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 11/13/2021] [Accepted: 11/17/2021] [Indexed: 12/18/2022]
Abstract
The notion that men are more variable than women has become embedded into scientific thinking. For mental traits like personality, greater male variability has been partly attributed to biology, underpinned by claims that there is generally greater variation among males than females in non-human animals due to stronger sexual selection on males. However, evidence for greater male variability is limited to morphological traits, and there is little information regarding sex differences in personality-like behaviours for non-human animals. Here, we meta-analysed sex differences in means and variances for over 2100 effects (204 studies) from 220 species (covering five broad taxonomic groups) across five personality traits: boldness, aggression, activity, sociality and exploration. We also tested if sexual size dimorphism, a proxy for sex-specific sexual selection, explains variation in the magnitude of sex differences in personality. We found no significant differences in personality between the sexes. In addition, sexual size dimorphism did not explain variation in the magnitude of the observed sex differences in the mean or variance in personality for any taxonomic group. In sum, we find no evidence for widespread sex differences in variability in non-human animal personality.
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Affiliation(s)
- Lauren M Harrison
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, 46 Sullivans Creek Road, Canberra, ACT, 2600, Australia
| | - Daniel W A Noble
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, 46 Sullivans Creek Road, Canberra, ACT, 2600, Australia
| | - Michael D Jennions
- Division of Ecology and Evolution, Research School of Biology, The Australian National University, 46 Sullivans Creek Road, Canberra, ACT, 2600, Australia
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15
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Bäck N, Schaefer K, Windhager S. Handgrip strength and 2D : 4D in women: homogeneous samples challenge the (apparent) gender paradox. Proc Biol Sci 2021; 288:20212328. [PMID: 34875193 PMCID: PMC8651413 DOI: 10.1098/rspb.2021.2328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The length ratio between the second and the fourth digit (2D : 4D) is a retrospective, non-invasive biomarker for prenatal androgen exposure. It was found to be negatively correlated with handgrip strength (HGS) in men, but the evidence for women is mixed. Such studies in women call for increased detection sensitivity. The present study was designed to reduce potential confounding factors, especially age and ethnicity variation. We measured the digit ratios and HGS of 125 healthy women between 19 and 31 years of age from a remote region in Austria. 2D : 4D of both hands was significantly and negatively correlated with HGS (n = 125, right hand: r = -0.255, p = 0.002, left hand: r = -0.206, p = 0.011). Size, direction and significance of correlation coefficients remained stable when statistically controlling for age, body weight, body height, body mass index or hours of exercise per week. This yields theory-consistent evidence that HGS and 2D : 4D are clearly associated in women-when sufficiently reducing genetic variation (confounding 2D : 4D), the ontogenetic environment and age ranges (confounding HGS) in the study population. This finding implies similar organizing effects of prenatal androgens as in men, pointing to a more parsimonious developmental mechanism and a new look into its proximate and ultimate causes.
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Affiliation(s)
- Nora Bäck
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Katrin Schaefer
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.,Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria
| | - Sonja Windhager
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
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16
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Williams CM, Peyre H, Toro R, Ramus F. Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age. Hum Brain Mapp 2021; 42:4623-4642. [PMID: 34268815 PMCID: PMC8410561 DOI: 10.1002/hbm.25572] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 06/03/2021] [Accepted: 06/11/2021] [Indexed: 12/18/2022] Open
Abstract
Few neuroimaging studies are sufficiently large to adequately describe population‐wide variations. This study's primary aim was to generate neuroanatomical norms and individual markers that consider age, sex, and brain size, from 629 cerebral measures in the UK Biobank (N = 40,028). The secondary aim was to examine the effects and interactions of sex, age, and brain allometry—the nonlinear scaling relationship between a region and brain size (e.g., total brain volume)—across cerebral measures. Allometry was a common property of brain volumes, thicknesses, and surface areas (83%) and was largely stable across age and sex. Sex differences occurred in 67% of cerebral measures (median |β| = .13): 37% of regions were larger in males and 30% in females. Brain measures (49%) generally decreased with age, although aging effects varied across regions and sexes. While models with an allometric or linear covariate adjustment for brain size yielded similar significant effects, omitting brain allometry influenced reported sex differences in variance. Finally, we contribute to the reproducibility of research on sex differences in the brain by replicating previous studies examining cerebral sex differences. This large‐scale study advances our understanding of age, sex, and brain allometry's impact on brain structure and provides data for future UK Biobank studies to identify the cerebral regions that covary with specific phenotypes, independently of sex, age, and brain size.
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Affiliation(s)
- Camille Michèle Williams
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Études Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France
| | - Hugo Peyre
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Études Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France.,INSERM UMR 1141, Paris Diderot University, Paris, France.,Department of Child and Adolescent Psychiatry, Robert Debré Hospital, APHP, Paris, France
| | - Roberto Toro
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR 3571 CNRS, Paris, France.,Center for Research and Interdisciplinarity (CRI), INSERM U1284, Paris, France.,Université de Paris, Paris, France
| | - Franck Ramus
- Laboratoire de Sciences Cognitives et Psycholinguistique, Département d'Études Cognitives, École Normale Supérieure, EHESS, CNRS, PSL University, Paris, France
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17
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Converging evidence for greater male variability in time, risk, and social preferences. Proc Natl Acad Sci U S A 2021; 118:2026112118. [PMID: 34088838 DOI: 10.1073/pnas.2026112118] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Gender differences in time, risk, and social preferences are important determinants of differential choices of men and women, with broad implications for gender-specific social and economic outcomes. To better understand the shape and form of gender differences in preferences, researchers have traditionally examined the mean differences between the two genders. We present an alternative perspective of greater male variability in preferences. In a meta-analysis of experimental economics studies with more than 50,000 individuals in 97 samples, we find converging evidence for greater male variability in time, risk, and social preferences. In some cases, we find greater male variability in addition to mean differences; in some cases, we only find greater male variability. Our findings suggest that theories of gender differences are incomplete if they fail to consider how the complex interaction of between-gender differences and within-gender variability determines differential choices and outcomes between women and men.
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18
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Life History Theory: Evolutionary mechanisms and gender role on risk-taking behaviors in young adults. PERSONALITY AND INDIVIDUAL DIFFERENCES 2021. [DOI: 10.1016/j.paid.2021.110752] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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19
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Strumia A. Reply to commentaries about “Gender issues in fundamental
physics: A bibliometric analysis”. QUANTITATIVE SCIENCE STUDIES 2021. [DOI: 10.1162/qss_c_00120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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20
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Milella M, Franklin D, Belcastro MG, Cardini A. Sexual differences in human cranial morphology: Is one sex more variable or one region more dimorphic? Anat Rec (Hoboken) 2021; 304:2789-2810. [PMID: 33773067 DOI: 10.1002/ar.24626] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 02/25/2021] [Accepted: 03/01/2021] [Indexed: 01/06/2023]
Abstract
The quantification of cranial sexual dimorphism (CSD) among modern humans is relevant in evolutionary studies of morphological variation and in a forensic context. Despite the abundance of quantitative studies of CSD, few have specifically examined intra-sex variability. Here we quantify CSD in a geographically homogeneous sample of adult crania, which includes Italian individuals from the 19th and 20th centuries. Cranial morphology is described with 92 3D landmarks analyzed using Procrustean geometric morphometrics (PGMM). Size and shape variables are used to compare morphological variance between sexes in the whole cranium and four individual regions. The same variables, plus Procrustes form, are used to quantify average sex differences and explore classification accuracy. Our results indicate that: (a) as predicted by Wainer's rule, males present overall more variance in size and shape, albeit this is statistically significant only for total cranial size; (b) differences between sexes are dominated by size and to a lesser extent by Procrustes form; (c) shape only accounts for a minor proportion of variance; (d) the cranial base shows almost no dimorphism for shape; and (e) facial Procrustes form is the most accurate predictor of skeletal sex. Overall, this study suggests developmental factors underlying differences in CSD among cranial regions; stresses the need for population-specific models that describe craniofacial variation as the basis for models that facilitate the estimation of sex in unidentified skeletal remains; and provides one of the first confirmations of "Wainer's rule" in relation to sexual dimorphism in mammals specific to the human cranium.
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Affiliation(s)
- Marco Milella
- Department of Physical Anthropology, Institute of Forensic Medicine, University of Bern, Bern, Switzerland
| | - Daniel Franklin
- Centre for Forensic Anthropology, The University of Western Australia, Crawley, Western Australia, Australia
| | - Maria Giovanna Belcastro
- Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Andrea Cardini
- Centre for Forensic Anthropology, The University of Western Australia, Crawley, Western Australia, Australia.,Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia, Modena, Italy
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21
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He WJ, Wong WC. Gender Differences in the Distribution of Creativity Scores: Domain-Specific Patterns in Divergent Thinking and Creative Problem Solving. Front Psychol 2021; 12:626911. [PMID: 33746849 PMCID: PMC7969660 DOI: 10.3389/fpsyg.2021.626911] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 02/09/2021] [Indexed: 12/02/2022] Open
Abstract
The present study examined gender differences in the distribution of creative abilities through the lens of the greater male variability hypothesis, which postulated that men showed greater interindividual variability than women in both physical and psychological attributes (Ellis, 1894/1934). Two hundred and six (51.9% female) undergraduate students in Hong Kong completed two creativity measures that evaluated different aspects of creativity, including: (a) a divergent thinking test that aimed to assess idea generation and (b) a creative problem-solving test that aimed to assess restructuring ability. The present findings extended the research of greater male variability in creativity by showing that men generally exhibited greater variance than women in the overall distribution of the creativity scores in both divergent thinking and creative problem solving, despite trivial gender differences in mean scores. The findings further enriched the discourse of the greater male variability hypothesis by showing interesting domain-specific gendered patterns: (1) greater male variability was more likely to occur in figural forms of creativity, with larger effect sizes, when compared to the variability in verbal forms of creativity; and (2) mixed gendered patterns were found in the upper tails of the creativity score distribution with respect to the verbal domain but not the figural one, despite greater male representation being consistently observed in the lower tail of the distribution. Possible underlying mechanisms and implications were discussed.
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Affiliation(s)
- Wu-Jing He
- Department of Special Education and Counselling, The Education University of Hong Kong, Tai Po, Hong Kong.,Integrated Centre for Wellbeing, The Education University of Hong Kong, Tai Po, Hong Kong
| | - Wan-Chi Wong
- Department of Educational Psychology, The Chinese University of Hong Kong, Hong Kong, Hong Kong
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22
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Stewart-Williams S, Halsey LG. Men, women and STEM: Why the differences and what should be done? EUROPEAN JOURNAL OF PERSONALITY 2021. [DOI: 10.1177/0890207020962326] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
It is a well-known and widely lamented fact that men outnumber women in a number of fields in STEM (science, technology, engineering and maths). The most commonly discussed explanations for the gender gaps are discrimination and socialization, and the most common policy prescriptions target those ostensible causes. However, a great deal of evidence in the behavioural sciences suggests that discrimination and socialization are only part of the story. The purpose of this paper is to highlight other aspects of the story: aspects that are commonly overlooked or downplayed. More precisely, the paper has two main aims. The first is to examine the evidence that factors other than workplace discrimination contribute to the gender gaps in STEM. These include relatively large average sex differences in career and lifestyle preferences, and relatively small average differences in cognitive aptitudes – some favouring males, others favouring females – which are associated with progressively larger differences the further above the average one looks. The second aim is to examine the evidence suggesting that these sex differences are not purely a product of social factors but also have a substantial biological (i.e. inherited) component. A more complete picture of the causes of the unequal sex ratios in STEM may productively inform policy discussions.
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Affiliation(s)
| | - Lewis G Halsey
- Department of Life Sciences, University of Roehampton, London, UK
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23
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Thöni C, Volk S, Cortina JM. Greater Male Variability in Cooperation: Meta-Analytic Evidence for an Evolutionary Perspective. Psychol Sci 2020; 32:50-63. [PMID: 33301379 DOI: 10.1177/0956797620956632] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Do men and women differ systematically in their cooperation behaviors? Researchers have long grappled with this question, and studies have returned equivocal results. We developed an evolutionary perspective according to which men are characterized by greater intrasex variability in cooperation as a result of sex-differentiated psychological adaptations. We tested our hypothesis in two meta-analyses. The first involved the raw data of 40 samples from 23 social-dilemma studies with 8,123 participants. Findings provided strong support for our perspective. Whereas we found that the two sexes do not differ in average cooperation levels, men are much more likely to behave either selfishly or altruistically, whereas women are more likely to be moderately cooperative. We confirmed our findings in a second meta-analytic study of 28 samples from 23 studies of organizational citizenship behavior with 13,985 participants. Our results highlight the importance of taking intrasex variability into consideration when studying sex differences in cooperation and suggest important future research directions.
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Affiliation(s)
- Christian Thöni
- Faculty of Law, Criminal Justice, and Public Administration, University of Lausanne
| | - Stefan Volk
- University of Sydney Business School, The University of Sydney
| | - Jose M Cortina
- Department of Management and Entrepreneurship, Virginia Commonwealth University
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24
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Zajitschek SR, Zajitschek F, Bonduriansky R, Brooks RC, Cornwell W, Falster DS, Lagisz M, Mason J, Senior AM, Noble DW, Nakagawa S. Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications. eLife 2020; 9:63170. [PMID: 33198888 PMCID: PMC7704105 DOI: 10.7554/elife.63170] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 10/30/2020] [Indexed: 12/13/2022] Open
Abstract
Biomedical and clinical sciences are experiencing a renewed interest in the fact that males and females differ in many anatomic, physiological, and behavioural traits. Sex differences in trait variability, however, are yet to receive similar recognition. In medical science, mammalian females are assumed to have higher trait variability due to estrous cycles (the ‘estrus-mediated variability hypothesis’); historically in biomedical research, females have been excluded for this reason. Contrastingly, evolutionary theory and associated data support the ‘greater male variability hypothesis’. Here, we test these competing hypotheses in 218 traits measured in >26,900 mice, using meta-analysis methods. Neither hypothesis could universally explain patterns in trait variability. Sex bias in variability was trait-dependent. While greater male variability was found in morphological traits, females were much more variable in immunological traits. Sex-specific variability has eco-evolutionary ramifications, including sex-dependent responses to climate change, as well as statistical implications including power analysis considering sex difference in variance. Males and females differ in appearance, physiology and behavior. But we do not fully understand the health and evolutionary consequences of these differences. One reason for this is that, until recently, females were often excluded from medical studies. This made it difficult to know if a treatment would perform as well in females as males. To correct this, organizations that fund research now require scientists to include both sexes in studies. This has led to some questions about how to account for sex differences in studies. One reason females have historically been excluded from medical studies is that some scientists assumed that they would have more variable responses to a particular treatment based on their estrous cycles. Other scientists, however, believe that males of a given species might be more variable because of the evolutionary pressures they face in competing for mates. Better understanding how males and females vary would help scientists better design studies to ensure they provide accurate answers. Now, Zajitschek et al. debunk both the idea that males are more variable and the idea that females are more variable. To do this, Zajitschek et al. analyzed differences in 218 traits, like body size or certain behaviors, among nearly 27,000 male and female mice. This showed that neither male mice nor female mice were universally more different from other mice of their sex across all features. Instead, sex differences in how much variation existed in male or female mice depended on the individual trait. For example, males varied more in physical features like size, while females showed more differences in their immune systems. The results suggest it is particularly important to consider sex-specific variability in both medical and other types of studies. To help other researchers better design experiments to factor in such variability, Zajitschek et al. created an interactive tool that will allow scientists to look at sex-based differences in individual features among male or female mice.
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Affiliation(s)
- Susanne Rk Zajitschek
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.,Liverpool John Moores University, School of Biological and Environmental Sciences, Liverpool, United Kingdom
| | - Felix Zajitschek
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Russell Bonduriansky
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Robert C Brooks
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Will Cornwell
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Daniel S Falster
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Malgorzata Lagisz
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Jeremy Mason
- European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, United Kingdom
| | - Alistair M Senior
- University of Sydney, Charles Perkins Centre, School of Life and Environmental Sciences, School of Mathematics and Statistics, Sydney, Australia
| | - Daniel Wa Noble
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia.,Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australia
| | - Shinichi Nakagawa
- Evolution & Ecology Research Center, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, Australia
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25
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Sex continuum in the brain and body during adolescence and psychological traits. Nat Hum Behav 2020; 5:265-272. [PMID: 33139896 DOI: 10.1038/s41562-020-00968-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 09/17/2020] [Indexed: 01/11/2023]
Abstract
Many traits of the brain and body show marked sex differences, but the distributions of their values overlap substantially between the two sexes. To investigate variations associated with biological sex, beyond binary differences, we create continuous sex scores capturing the inter-individual variability in phenotypes. In an adolescent cohort (n = 1,029; 533 females), we have generated three sex scores based on brain-body traits: 'overall' (48 traits), 'pubertal' (26 traits) and 'non-pubertal' (22 traits). We then conducted sex-stratified multiple linear regressions (adjusting for age) using sex scores to test associations with sex hormones, personality traits and internalizing-externalizing behaviour. Higher sex scores (that is, greater 'femaleness') were associated with lower testosterone in males only, as well as lower extraversion, higher internalizing and lower externalizing in both sexes. The associations with testosterone, internalizing and externalizing were driven by pubertal sex scores, underscoring the importance of adolescence in shaping within-sex individual variability.
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26
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Forde NJ, Jeyachandra J, Joseph M, Jacobs GR, Dickie E, Satterthwaite TD, Shinohara RT, Ameis SH, Voineskos AN. Sex Differences in Variability of Brain Structure Across the Lifespan. Cereb Cortex 2020; 30:5420-5430. [PMID: 32483605 PMCID: PMC7566684 DOI: 10.1093/cercor/bhaa123] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 03/16/2020] [Accepted: 04/19/2020] [Indexed: 12/13/2022] Open
Abstract
Several brain disorders exhibit sex differences in onset, presentation, and prevalence. Increased understanding of the neurobiology of sex-based differences in variability across the lifespan can provide insight into both disease vulnerability and resilience. In n = 3069 participants, from 8 to 95 years of age, we found widespread greater variability in males compared with females in cortical surface area and global and subcortical volumes for discrete brain regions. In contrast, variance in cortical thickness was similar for males and females. These findings were supported by multivariate analysis accounting for structural covariance, and present and stable across the lifespan. Additionally, we examined variability among brain regions by sex. We found significant age-by-sex interactions across neuroimaging metrics, whereby in very early life males had reduced among-region variability compared with females, while in very late life this was reversed. Overall, our findings of greater regional variability, but less among-region variability in males in early life may aid our understanding of sex-based risk for neurodevelopmental disorders. In contrast, our findings in late life may provide a potential sex-based risk mechanism for dementia.
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Affiliation(s)
- Natalie J Forde
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada
| | - Jerrold Jeyachandra
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada
| | - Michael Joseph
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada
| | - Grace R Jacobs
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada
- Institute of Medical Science, Faculty of Medicine, University of Toronto, M5S 1A8, Toronto, Canada
| | - Erin Dickie
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada
| | - Theodore D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn-CHOP Lifespan Brain Institute, Philadelphia, PA 19104, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19103, USA
| | - Stephanie H Ameis
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, M5T 1R8, Toronto, Canada
| | - Aristotle N Voineskos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, M5T 1R8, Toronto, Canada
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27
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DeCasien AR, Sherwood CC, Schapiro SJ, Higham JP. Greater variability in chimpanzee ( Pan troglodytes) brain structure among males. Proc Biol Sci 2020; 287:20192858. [PMID: 32315585 PMCID: PMC7211446 DOI: 10.1098/rspb.2019.2858] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/23/2020] [Indexed: 01/15/2023] Open
Abstract
Across the animal kingdom, males tend to exhibit more behavioural and morphological variability than females, consistent with the 'greater male variability hypothesis'. This may reflect multiple mechanisms operating at different levels, including selective mechanisms that produce and maintain variation, extended male development, and X chromosome effects. Interestingly, human neuroanatomy shows greater male variability, but this pattern has not been demonstrated in any other species. To address this issue, we investigated sex-specific neuroanatomical variability in chimpanzees by examining relative and absolute surface areas of 23 cortical sulci across 226 individuals (135F/91M), using permutation tests of the male-to-female variance ratio of residuals from MCMC generalized linear mixed models controlling for relatedness. We used these models to estimate sulcal size heritability, simulations to assess the significance of heritability, and Pearson correlations to examine inter-sulcal correlations. Our results show that: (i) male brain structure is relatively more variable; (ii) sulcal surface areas are heritable and therefore potentially subject to selection; (iii) males exhibit lower heritability values, possibly reflecting longer development; and (iv) males exhibit stronger inter-sulcal correlations, providing indirect support for sex chromosome effects. These results provide evidence that greater male neuroanatomical variability extends beyond humans, and suggest both evolutionary and developmental explanations for this phenomenon.
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Affiliation(s)
- Alex R. DeCasien
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - Chet C. Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC, USA
| | - Steven J. Schapiro
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
- Department of Experimental Medicine, The University of Copenhagen, Copenhagen, Denmark
| | - James P. Higham
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
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28
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Asperholm M, van Leuven L, Herlitz A. Sex Differences in Episodic Memory Variance. Front Psychol 2020; 11:613. [PMID: 32362856 PMCID: PMC7180222 DOI: 10.3389/fpsyg.2020.00613] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 03/16/2020] [Indexed: 12/14/2022] Open
Abstract
Men as a group have been shown to have larger variances than women in several areas pertaining to both biological and psychological traits, but no investigation has been performed in regard to episodic memory. We conducted an analysis on sex differences in episodic memory variance on 535 studies, representing 962,946 individuals, conducted between 1973 and 2013. Results showed that men had larger variances than women in verbal episodic memory tasks as well as episodic memory tasks having to do with spatial locations. Women, on the other hand, had larger variance than men for tasks involving remembering routes. These effects were for the most part small, and exploratory analyses suggest that they might come about, at least in part, because of measures not sufficiently controlled for ceiling effects. This means that the effects should be interpreted with caution and that further research on sex differences in episodic memory variance is needed.
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Affiliation(s)
- Martin Asperholm
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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29
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Böing-Messing F, Mulder J. Bayes Factors for Testing Order Constraints on Variances of Dependent Outcomes. AM STAT 2020. [DOI: 10.1080/00031305.2020.1715257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Florian Böing-Messing
- Jheronimus Academy of Data Science, ‘s-Hertogenbosch, The Netherlands
- Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
| | - Joris Mulder
- Jheronimus Academy of Data Science, ‘s-Hertogenbosch, The Netherlands
- Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
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30
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Ritchie SJ, Cox SR, Shen X, Lombardo MV, Reus LM, Alloza C, Harris MA, Alderson HL, Hunter S, Neilson E, Liewald DCM, Auyeung B, Whalley HC, Lawrie SM, Gale CR, Bastin ME, McIntosh AM, Deary IJ. Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants. Cereb Cortex 2019; 28:2959-2975. [PMID: 29771288 PMCID: PMC6041980 DOI: 10.1093/cercor/bhy109] [Citation(s) in RCA: 423] [Impact Index Per Article: 84.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 04/20/2018] [Indexed: 02/07/2023] Open
Abstract
Sex differences in the human brain are of interest for many reasons: for example, there are sex differences in the observed prevalence of psychiatric disorders and in some psychological traits that brain differences might help to explain. We report the largest single-sample study of structural and functional sex differences in the human brain (2750 female, 2466 male participants; mean age 61.7 years, range 44-77 years). Males had higher raw volumes, raw surface areas, and white matter fractional anisotropy; females had higher raw cortical thickness and higher white matter tract complexity. There was considerable distributional overlap between the sexes. Subregional differences were not fully attributable to differences in total volume, total surface area, mean cortical thickness, or height. There was generally greater male variance across the raw structural measures. Functional connectome organization showed stronger connectivity for males in unimodal sensorimotor cortices, and stronger connectivity for females in the default mode network. This large-scale study provides a foundation for attempts to understand the causes and consequences of sex differences in adult brain structure and function.
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Affiliation(s)
- Stuart J Ritchie
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Simon R Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Michael V Lombardo
- Department of Psychology and Center for Applied Neuroscience, University of Cyprus, Nicosia, Cyprus.,Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Lianne M Reus
- Department of Neurology and Alzheimer Centre, VU University Medical Centre, Amsterdam, The Netherlands
| | - Clara Alloza
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Mathew A Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Helen L Alderson
- Department of Psychiatry, Queen Margaret Hospital, Dunfermline, UK
| | | | - Emma Neilson
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - David C M Liewald
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Bonnie Auyeung
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | | | - Stephen M Lawrie
- Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,Brain Research Imaging Centre, The University of Edinburgh, Edinburgh, UK.,Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK.,Division of Psychiatry, The University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Department of Psychology, The University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
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31
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Buczyłowska D, Ronniger P, Melzer J, Petermann F. Sex Similarities and Differences in Intelligence in Children Aged Two to Eight: Analysis of SON-R 2-8 Scores. J Intell 2019; 7:jintelligence7020011. [PMID: 31162390 PMCID: PMC6630280 DOI: 10.3390/jintelligence7020011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 04/10/2019] [Accepted: 04/22/2019] [Indexed: 11/16/2022] Open
Abstract
The aim of this study was to investigate sex similarities and differences in visuospatial and fluid abilities and IQ scores based on those abilities in children aged two to eight. Standardization data from the Snijders-Oomen Nonverbal Intelligence Test for Children aged 2-8 (SON-R 2-8) were used. A representative sample composed of 965 children from the Netherlands and 762 children from Germany was examined. Small but significant mean sex differences favoring girls were observed until age four. At ages six and seven, boys achieved similar cognitive development levels to girls regarding all abilities assessed and outperformed girls on the Mosaics subtest measuring visuospatial cognition. Boys also displayed higher variability rates in performance. The distribution of IQ scores, with the overrepresentation of girls scoring above mean and the overrepresentation of boys scoring below mean in early childhood, altered with age towards parity between the sexes. The results suggest that girls tend to mature earlier with respect to cognitive abilities. During the course of development, however, the differences between girls and boys may become negligible.
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Affiliation(s)
- Dorota Buczyłowska
- Center for Clinical Psychology and Rehabilitation, University of Bremen, 28359 Bremen, Germany.
| | - Pola Ronniger
- Center for Clinical Psychology and Rehabilitation, University of Bremen, 28359 Bremen, Germany.
| | - Jessica Melzer
- Center for Clinical Psychology and Rehabilitation, University of Bremen, 28359 Bremen, Germany.
| | - Franz Petermann
- Center for Clinical Psychology and Rehabilitation, University of Bremen, 28359 Bremen, Germany.
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32
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Al-Bursan IS, Kirkegaard EOW, Fuerst J, Bakhiet SFA, Al Qudah MF, Hassan EMAH, Abduljabbar AS. Sex Differences in 32,347 Jordanian 4th Graders on the National Exam of Mathematics. JOURNAL OF INDIVIDUAL DIFFERENCES 2019. [DOI: 10.1027/1614-0001/a000278] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Abstract. Sex differences in mathematical ability were examined in a nation-wide sample of 32,346 Jordanian 4th graders (age 9–10 year) on a 40-item mathematics test. Overall, boys were found to perform slightly worse ( d = −0.12) but had slightly more variation in scores ( SD = 1.02 and SD = 0.98 for boys and girls, respectively). However, when results were disaggregated by school type, single-sex versus coed (i.e., coeducational), boys were found to perform better than girls in coed schools ( d = 0.27) but worse across single-sex schools ( d = −0.37). Two-parameter item response theory analysis showed that item difficulty was similar across sexes in the full sample. Item loadings exhibited substantial departure from measurement invariance with respect to boys and girls at single-sex schools, though. For boys and girls at coed schools, both the item difficulty and item loading correlations were highly similar, evincing that measurement invariance largely held in this case. Partially consistent with findings from other countries, a correlation between item difficulty and male advantage was observed, r = .57, such that the relative male advantage increased with increased item difficulty. Complicating interpretation, this association did not replicate within coed schools. Item content, Bloom’s cognitive taxonomy category, and item position showed no relation to sex differences.
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Affiliation(s)
- Ismael S. Al-Bursan
- King Saud University, Department of Psychology, College of Education, Riyadh, Saudi Arabia
| | | | - John Fuerst
- Ulster Institute for Social Research, London, UK
| | | | - Mohammad F. Al Qudah
- King Saud University, Department of Psychology, College of Education, Riyadh, Saudi Arabia
| | | | - Adel S. Abduljabbar
- King Saud University, Department of Psychology, College of Education, Riyadh, Saudi Arabia
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33
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Archer J. The reality and evolutionary significance of human psychological sex differences. Biol Rev Camb Philos Soc 2019; 94:1381-1415. [DOI: 10.1111/brv.12507] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 02/14/2019] [Accepted: 02/21/2019] [Indexed: 01/03/2023]
Affiliation(s)
- John Archer
- Department of PsychologyUniversity of Central Lancashire Preston Lancashire PR1 2HE U.K
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34
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He WJ. A 4-Year Longitudinal Study of the Sex-Creativity Relationship in Childhood, Adolescence, and Emerging Adulthood: Findings of Mean and Variability Analyses. Front Psychol 2018; 9:2331. [PMID: 30534104 PMCID: PMC6275319 DOI: 10.3389/fpsyg.2018.02331] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 11/06/2018] [Indexed: 11/28/2022] Open
Abstract
The relationship between sex and creativity remains an unresolved research question. The present study aimed to approach this question through the lens of the developmental theory of sex differences in intelligence, which posits a dynamic pattern of sex differences in intellectual abilities from female superiority in childhood and early adolescence to male superiority starting at 16 years of age. A total of 775 participants from three age groups (i.e., children, adolescents, and emerging adults) completed a 4-year longitudinal study comprising four assessments of creative thinking at 1-year intervals. Creative thinking was assessed with the Test for Creative Thinking-Drawing Production. While the results revealed female superiority in childhood and early adolescence, male superiority was not found in adolescence and emerging adulthood. Rather, greater sex similarities and greater male variability were found based on mean and variability analyses, respectively. This study elucidated the link between sex and creativity by (1) taking a developmental perspective, (2) employing a 4-year longitudinal design in three age groups (i.e., children, adolescents, and emerging adults), and (3) analyzing sex differences based on both mean and variability analyses.
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Affiliation(s)
- Wu-Jing He
- Department of Special Education and Counselling, The Education University of Hong Kong, Tai Po, Hong Kong
- Integrated Centre for Wellbeing, The Education University of Hong Kong, Tai Po, Hong Kong
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35
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Böing-Messing F, Mulder J. Automatic Bayes Factors for Testing Equality- and Inequality-Constrained Hypotheses on Variances. PSYCHOMETRIKA 2018; 83:586-617. [PMID: 29725929 DOI: 10.1007/s11336-018-9615-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 03/28/2018] [Indexed: 06/08/2023]
Abstract
In comparing characteristics of independent populations, researchers frequently expect a certain structure of the population variances. These expectations can be formulated as hypotheses with equality and/or inequality constraints on the variances. In this article, we consider the Bayes factor for testing such (in)equality-constrained hypotheses on variances. Application of Bayes factors requires specification of a prior under every hypothesis to be tested. However, specifying subjective priors for variances based on prior information is a difficult task. We therefore consider so-called automatic or default Bayes factors. These methods avoid the need for the user to specify priors by using information from the sample data. We present three automatic Bayes factors for testing variances. The first is a Bayes factor with equal priors on all variances, where the priors are specified automatically using a small share of the information in the sample data. The second is the fractional Bayes factor, where a fraction of the likelihood is used for automatic prior specification. The third is an adjustment of the fractional Bayes factor such that the parsimony of inequality-constrained hypotheses is properly taken into account. The Bayes factors are evaluated by investigating different properties such as information consistency and large sample consistency. Based on this evaluation, it is concluded that the adjusted fractional Bayes factor is generally recommendable for testing equality- and inequality-constrained hypotheses on variances.
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Affiliation(s)
- Florian Böing-Messing
- Jheronimus Academy of Data Science, Sint Janssingel 92, 5211 DA , 's-Hertogenbosch, The Netherlands.
- Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands.
| | - Joris Mulder
- Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
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36
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Wierenga LM, Sexton JA, Laake P, Giedd JN, Tamnes CK. A Key Characteristic of Sex Differences in the Developing Brain: Greater Variability in Brain Structure of Boys than Girls. Cereb Cortex 2018; 28:2741-2751. [PMID: 28981610 PMCID: PMC6041809 DOI: 10.1093/cercor/bhx154] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 05/15/2017] [Accepted: 06/02/2017] [Indexed: 12/13/2022] Open
Abstract
In many domains, including cognition and personality, greater variability is observed in males than in females in humans. However, little is known about how variability differences between sexes are represented in the brain. The present study tested whether there is a sex difference in variance in brain structure using a cohort of 643 males and 591 females aged between 3 and 21 years. The broad age-range of the sample allowed us to test if variance differences in the brain differ across age. We observed significantly greater male than female variance for several key brain structures, including cerebral white matter and cortex, hippocampus, pallidum, putamen, and cerebellar cortex volumes. The differences were observed at both upper and lower extremities of the distributions and appeared stable across development. These findings move beyond mean levels by showing that sex differences were pronounced for variability, thereby providing a novel perspective on sex differences in the developing brain.
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Affiliation(s)
- Lara M Wierenga
- Brain and Development Research Center, Leiden University, RB Leiden, The Netherlands
| | - Joseph A Sexton
- Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Blindern, Oslo, Norway
| | - Petter Laake
- Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Blindern, Oslo, Norway
| | - Jay N Giedd
- Department of Psychiatry, University of California, San Diego, CA, USA
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37
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Jandová M, Urbanová P. Sexual dimorphism in human facial expressions by 3D surface processing. HOMO-JOURNAL OF COMPARATIVE HUMAN BIOLOGY 2018; 69:98-109. [PMID: 30029775 DOI: 10.1016/j.jchb.2018.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 05/24/2018] [Indexed: 10/14/2022]
Abstract
Human face is a dynamic system where facial expressions can rapidly modify geometry of facial features. Facial expressions are believed to be universal across world populations, but only a few studies have explored whether grimacing is sexually dimorphic and if so to what extent. The present paper explores inter- and intra-individual variation of human facial expressions with respect to individual's sex based on a set of neutral and expression-varying 3D facial scans. The study sample composed of 20 individuals (10 males and 10 females) for whom 120 scans featuring grimaces associated with disgust, surprise, "u" sound, smile and wide smile were collected by an optical scanner Vectra XT. In order to quantify the dissimilarity among 3D images, surface comparison approach based on aligned 3D meshes and closest point-to-point distances was carried out in Fidentis Analyst application. The study revealed that sexual dimorphism was indeed one of the factors which determined the extent and characteristics of facial deformations recorded for the studied expressions. In order to produce a grimace, males showed a tendency towards extending their facial movements while females were generally more restrained. Furthermore, the facial movements linked to the wide smile and "u" sound were revealed as the most extensive relative to the other expressions, while the smile and surprise were shown indistinguishable from the neutral face.
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Affiliation(s)
- M Jandová
- Laboratory of Morphology and Forensic Anthropology, Department of Anthropology, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic.
| | - P Urbanová
- Laboratory of Morphology and Forensic Anthropology, Department of Anthropology, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
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38
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Del Giudice M, Barrett ES, Belsky J, Hartman S, Martel MM, Sangenstedt S, Kuzawa CW. Individual differences in developmental plasticity: A role for early androgens? Psychoneuroendocrinology 2018; 90:165-173. [PMID: 29500952 PMCID: PMC5864561 DOI: 10.1016/j.psyneuen.2018.02.025] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 02/20/2018] [Accepted: 02/22/2018] [Indexed: 11/16/2022]
Abstract
Developmental plasticity is a widespread property of living organisms, but different individuals in the same species can vary greatly in how susceptible they are to environmental influences. In humans, research has sought to link variation in plasticity to physiological traits such as stress reactivity, exposure to prenatal stress-related hormones such as cortisol, and specific genes involved in major neurobiological pathways. However, the determinants of individual differences in plasticity are still poorly understood. Here we present the novel hypothesis that, in both sexes, higher exposure to androgens during prenatal and early postnatal life should lead to increased plasticity in traits that display greater male variability (i.e., a majority of physical and behavioral traits). First, we review evidence of greater phenotypic variation and higher susceptibility to environmental factors in males; we then consider evolutionary models that explain greater male variability and plasticity as a result of sexual selection. These empirical and theoretical strands converge on the hypothesis that androgens may promote developmental plasticity, at least for traits that show greater male variability. We discuss a number of potential mechanisms that may mediate this effect (including upregulation of neural plasticity), and address the question of whether androgen-induced plasticity is likely to be adaptive or maladaptive. We conclude by offering suggestions for future studies in this area, and considering some research designs that could be used to empirically test our hypothesis.
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Affiliation(s)
- Marco Del Giudice
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA.
| | - Emily S Barrett
- School of Public Health, Rutgers University, Piscataway, NJ, USA
| | - Jay Belsky
- Department of Human Ecology, University of California - Davis, Davis, CA, USA
| | - Sarah Hartman
- Department of Human Ecology, University of California - Davis, Davis, CA, USA
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39
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Wai J, Hodges J, Makel MC. Sex differences in ability tilt in the right tail of cognitive abilities: A 35-year examination. INTELLIGENCE 2018. [DOI: 10.1016/j.intell.2018.02.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Bódizs R, Gombos F, Ujma PP, Szakadát S, Sándor P, Simor P, Pótári A, Konrad BN, Genzel L, Steiger A, Dresler M, Kovács I. The hemispheric lateralization of sleep spindles in humans. ACTA ACUST UNITED AC 2017. [DOI: 10.1556/2053.01.2017.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
- Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary
- National Institute of Clinical Neurosciences, Budapest, Hungary
| | - Ferenc Gombos
- Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary
| | - Péter P. Ujma
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
- National Institute of Clinical Neurosciences, Budapest, Hungary
| | - Sára Szakadát
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
| | - Piroska Sándor
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
| | - Péter Simor
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- Nyírő Gyula Hospital, National Institute of Psychiatry and Addictions, Budapest, Hungary
| | - Adrián Pótári
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
| | | | - Lisa Genzel
- Centre for Cognitive and Neural Systems, University of Edinburgh, Edinburgh, United Kingdom
| | - Axel Steiger
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Ilona Kovács
- Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary
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41
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Paessler K. Sex Differences in Variability in Vocational Interests: Evidence from Two Large Samples. EUROPEAN JOURNAL OF PERSONALITY 2015. [DOI: 10.1002/per.2010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Greater male variability has been established in cognitive abilities and physical attributes. This study investigated sex differences in variability in vocational interests with two large samples (N > 40 000 and N > 70 000). The results show that although men varied more in Realistic and Enterprising interests, women varied more in Artistic and Conventional interests. These differences in variability had considerable influence on the female–male tail ratios in vocational interests that have been found to contribute to reported gender disparities in certain fields of work and academic disciplines. Moreover, differences in means and variability interacted non–linearly in shaping tail–ratio imbalances. An age–specific analysis additionally revealed that differences in variability diminished with age: Older samples showed smaller differences in variance in Realistic, Artistic, and Social interests than younger samples. Thus, I found no evidence that greater male variability applies for vocational interests in general. Copyright © 2015 European Association of Personality Psychology
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Affiliation(s)
- Katja Paessler
- School of Applied Psychology, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland
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Wyman MJ, Rowe L. Male Bias in Distributions of Additive Genetic, Residual, and Phenotypic Variances of Shared Traits. Am Nat 2014; 184:326-37. [DOI: 10.1086/677310] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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43
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Reinhold K, Engqvist L. The variability is in the sex chromosomes. Evolution 2013; 67:3662-8. [PMID: 24299417 DOI: 10.1111/evo.12224] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Accepted: 07/16/2013] [Indexed: 11/26/2022]
Abstract
Sex differences in the mean trait expression are well documented, not only for traits that are directly associated with reproduction. Less is known about how the variability of traits differs between males and females. In species with sex chromosomes and dosage compensation, the heterogametic sex is expected to show larger trait variability ("sex-chromosome hypothesis"), yet this central prediction, based on fundamental genetic principles, has never been evaluated in detail. Here we show that in species with heterogametic males, male variability in body size is significantly larger than in females, whereas the opposite can be shown for species with heterogametic females. These results support the prediction of the sex-chromosome hypothesis that individuals of the heterogametic sex should be more variable. We argue that the pattern demonstrated here for sex-specific body size variability is likely to apply to any trait and needs to be considered when testing predictions about sex-specific variability and sexual selection.
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Affiliation(s)
- Klaus Reinhold
- Evolutionary Biology, Bielefeld University, Bielefeld, Germany
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44
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Deaner RO. Distance running as an ideal domain for showing a sex difference in competitiveness. ARCHIVES OF SEXUAL BEHAVIOR 2013; 42:413-428. [PMID: 22700008 DOI: 10.1007/s10508-012-9965-z] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2011] [Revised: 03/19/2012] [Accepted: 03/23/2012] [Indexed: 06/01/2023]
Abstract
Men are over-represented in the arts, sciences, and sports. This has been hypothesized to reflect an evolved male predisposition for enduring competitiveness or long-term motivation to improve one's performance and "show-off." Evidence for this hypothesis is equivocal, however, because there are viable alternative explanations for men's dominance in most cultural display domains. Here, I argue that distance running is an ideal domain for addressing this issue. Distance running is ideal because it indicates enduring competitiveness, allows objective comparisons, and is accessible, acceptable, and popular for both men and women. I review recent studies and present new data showing that substantially more men than women run relatively fast in the U.S., that this sex difference in relative performance can be attributed, at least in part, to men's greater training motivation, and that this pattern has been stable for several decades. Distance running thus provides compelling evidence for an evolved male predisposition for enduring competitiveness. I conclude with suggestions regarding how variation in achievement motivation can be informed by considering how evolved predispositions interact with environmental and social conditions.
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Affiliation(s)
- Robert O Deaner
- Department of Psychology, Grand Valley State University, Allendale, MI 49401, USA.
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45
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Borkenau P, McCrae RR, Terracciano A. Do Men Vary More than Women in Personality? A Study in 51 Cultures. JOURNAL OF RESEARCH IN PERSONALITY 2013; 47:135-144. [PMID: 23559686 PMCID: PMC3612964 DOI: 10.1016/j.jrp.2012.12.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Do men vary more than women in personality? Evolutionary, genetic, and cultural arguments suggest that hypothesis. In this study we tested it using 12,156 college student raters from 51 cultures who described a person they knew well on the 3rd-person version of the Revised NEO Personality Inventory. In most cultures, male targets varied more than female targets, and ratings by female informants varied more than ratings by male informants, which may explain why higher variances for men are not found in self-reports. Variances were higher in more developed, and effects of target sex were stronger in more individualistic societies. It seems that individualistic cultures enable a less restricted expression of personality, resulting in larger variances and particularly so among men.
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Affiliation(s)
- Peter Borkenau
- Department of Psychology, Martin-Luther Universität Halle-Wittenberg, Halle, Germany
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46
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Differences in birth weight by sex using adjusted quantile distance functions. Stat Med 2013; 32:2962-70. [DOI: 10.1002/sim.5744] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2012] [Accepted: 01/02/2013] [Indexed: 11/07/2022]
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Abstract
We tested whether eye color influences perception of trustworthiness. Facial photographs of 40 female and 40 male students were rated for perceived trustworthiness. Eye color had a significant effect, the brown-eyed faces being perceived as more trustworthy than the blue-eyed ones. Geometric morphometrics, however, revealed significant correlations between eye color and face shape. Thus, face shape likewise had a significant effect on perceived trustworthiness but only for male faces, the effect for female faces not being significant. To determine whether perception of trustworthiness was being influenced primarily by eye color or by face shape, we recolored the eyes on the same male facial photos and repeated the test procedure. Eye color now had no effect on perceived trustworthiness. We concluded that although the brown-eyed faces were perceived as more trustworthy than the blue-eyed ones, it was not brown eye color per se that caused the stronger perception of trustworthiness but rather the facial features associated with brown eyes.
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Borkenau P, Hřebíčková M, Kuppens P, Realo A, Allik J. Sex Differences in Variability in Personality: A Study in Four Samples. J Pers 2013; 81:49-60. [DOI: 10.1111/j.1467-6494.2012.00784.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Meindl K, Windhager S, Wallner B, Schaefer K. Second-to-fourth digit ratio and facial shape in boys: the lower the digit ratio, the more robust the face. Proc Biol Sci 2012; 279:2457-63. [PMID: 22337693 DOI: 10.1098/rspb.2011.2351] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
During human ontogeny, testosterone has powerful organizational and activational effects on the male organism. This has led to the hypothesis that the prenatal environment (as studied through the second-to-fourth digit ratio, 2D : 4D) is not only associated with robust adult male faces that are perceived as dominant and masculine, but also that there is an activational step during puberty. To test the latter, we collected digit ratios and frontal photographs of right-handed Caucasian boys (aged 4-11 years) along with age, body height and body weight. Using geometric morphometrics, we show a significant relationship between facial shape and 2D : 4D before the onset of puberty (explaining 14.5% of shape variation; p = 0.014 after 10 000 permutations, n = 17). Regression analyses depict the same shape patterns as in adults, namely that the lower the 2D : 4D, the smaller and shorter the forehead, the thicker the eyebrows, the wider and shorter the nose, and the larger the lower face. Our findings add to previous evidence that certain adult male facial characteristics that elicit attributions of masculinity and dominance are determined very early in ontogeny. This has implications for future studies in various fields ranging from social perception to life-history strategies.
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Affiliation(s)
- Konstanze Meindl
- Department of Anthropology, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria
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50
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Slutske WS, Bascom EN, Meier MH, Medland SE, Martin NG. Sensation seeking in females from opposite- versus same-sex twin pairs: hormone transfer or sibling imitation? Behav Genet 2010; 41:533-42. [PMID: 21140202 DOI: 10.1007/s10519-010-9416-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2010] [Accepted: 11/10/2010] [Indexed: 11/30/2022]
Abstract
The aims of this study were to replicate the results of a previous study (Resnick et al. 1993) and to extend them by examining the evidence for prenatal exposure to androgens versus sibling imitation as a potential cause of group differences in levels of sensation seeking. Participants were members of the Australian Twin Registry who had participated in a structured interview study and completed the Zuckerman Sensation-Seeking Scale. Three sets of group comparisons were conducted: (1) the sensation seeking scores of females from same-sex twin pairs (n = 1,947) were compared to females from opposite-sex twin pairs (n = 564), (2) females from same-sex twin pairs without a brother (n = 580) were compared to same-sex females with a close-in-age older brother (n = 300), and (3) same-sex females who had a close-in-age older brother (n = 300) were compared to females from opposite-sex twin pairs (n = 564). Females from opposite-sex twin pairs obtained significantly higher scores than females from same-sex twin pairs on the experience-seeking (d = 0.12) and thrill and adventure seeking (d = 0.10) subscales, but not the boredom susceptibility (d = -0.01) or disinhibition (d < 0.01) subscales of the Sensation-Seeking Scale. The modest effects obtained could not be explained by the psychosocial effect of having a close-in-age brother. Considering these effects alongside the overall sex differences in the Sensation-Seeking Scales of experience-seeking (d = 0.12 vs. d = 0.18) and thrill and adventure-seeking (d = 0.10 vs. d = 0.83) suggests that prenatal androgens may actually play a large role in the sex difference in the personality trait of experience seeking, and a smaller role in thrill and adventure-seeking; there was no evidence from this study that prenatal androgens are important for explaining sex differences in the traits of boredom susceptibility or disinhibition.
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Affiliation(s)
- Wendy S Slutske
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.
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