TY - JOUR
T1 - Sex beyond the genitalia
T2 - The human brain mosaic
AU - Joel, Daphna
AU - Berman, Zohar
AU - Tavor, Ido
AU - Wexler, Nadav
AU - Gaber, Olga
AU - Stein, Yaniv
AU - Shefi, Nisan
AU - Pool, Jared
AU - Urchs, Sebastian
AU - Margulies, Daniel S.
AU - Liem, Franziskus
AU - Hänggi, Jürgen
AU - Jäncke, Lutz
AU - Assaf, Yaniv
PY - 2015/12/15
Y1 - 2015/12/15
N2 - Whereas a categorical difference in the genitals has always been acknowledged, the question of how far these categories extend into human biology is still not resolved. Documented sex/gender differences in the brain are often taken as support of a sexually dimorphic view of human brains ("female brain" or "male brain"). However, such a distinction would be possible only if sex/gender differences in brain features were highly dimorphic (i.e., little overlap between the forms of these features in males and females) and internally consistent (i.e., a brain has only "male" or only "female" features). Here, analysis of MRIs of more than 1,400 human brains from four datasets reveals extensive overlap between the distributions of females and males for all gray matter, whitematter, and connections assessed.Moreover, analyses of internal consistency reveal that brains with features that are consistently at one end of the "maleness-femaleness" continuum are rare. Rather, most brains are comprised of unique "mosaics" of features, some more common in females compared with males, some more common in males compared with females, and some common in both females and males. Our findings are robust across sample, age, type of MRI, and method of analysis. These findings are corroborated by a similar analysis of personality traits, attitudes, interests, and behaviors of more than 5,500 individuals, which reveals that internal consistency is extremely rare. Our study demonstrates that, although there are sex/gender differences in the brain, human brains do not belong to one of two distinct categories: male brain/female brain.
AB - Whereas a categorical difference in the genitals has always been acknowledged, the question of how far these categories extend into human biology is still not resolved. Documented sex/gender differences in the brain are often taken as support of a sexually dimorphic view of human brains ("female brain" or "male brain"). However, such a distinction would be possible only if sex/gender differences in brain features were highly dimorphic (i.e., little overlap between the forms of these features in males and females) and internally consistent (i.e., a brain has only "male" or only "female" features). Here, analysis of MRIs of more than 1,400 human brains from four datasets reveals extensive overlap between the distributions of females and males for all gray matter, whitematter, and connections assessed.Moreover, analyses of internal consistency reveal that brains with features that are consistently at one end of the "maleness-femaleness" continuum are rare. Rather, most brains are comprised of unique "mosaics" of features, some more common in females compared with males, some more common in males compared with females, and some common in both females and males. Our findings are robust across sample, age, type of MRI, and method of analysis. These findings are corroborated by a similar analysis of personality traits, attitudes, interests, and behaviors of more than 5,500 individuals, which reveals that internal consistency is extremely rare. Our study demonstrates that, although there are sex/gender differences in the brain, human brains do not belong to one of two distinct categories: male brain/female brain.
KW - Behavior
KW - Brain connectivity
KW - Brain structure
KW - Gender differences
KW - Sex differences
UR - http://www.scopus.com/inward/record.url?scp=84950336702&partnerID=8YFLogxK
U2 - 10.1073/pnas.1509654112
DO - 10.1073/pnas.1509654112
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C2 - 26621705
AN - SCOPUS:84950336702
SN - 0027-8424
VL - 112
SP - 15468
EP - 15473
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 50
ER -