Transgender people report discomfort with their birth sex and a strong identification with the opposite sex. The current study was designed to shed further light on the question of whether the brains of transgender people resemble their birth sex or their gender identity. For this purpose, we analyzed a sample of 24 cisgender men, 24 cisgender women, and 24 transgender women before gender-affirming hormone therapy. We employed a recently developed multivariate classifier that yields a continuous probabilistic (rather than a binary) estimate for brains to be male or female. The brains of transgender women ranged between cisgender men and cisgender women (albeit still closer to cisgender men), and the differences to both cisgender men and to ...
Transsexualism describes the condition when a person's psychological gender differs from his or her ...
Gender identity disorder (GID) refers to transsexual individuals who feel that their assigned biolog...
he increasing use of machine learning approaches on neuroimaging data comes with the important conce...
Transgender people report discomfort with their birth sex and a strong identification with the oppos...
Background: In contrast to cisgender persons, transgender persons identify with a different gender t...
Over the last 25 years, scientists have become more and more keen on understanding the contribution ...
Background: In contrast to cisgender persons, transgender persons identify with a different gender t...
Sex differences and hormonal effects in presumed cisgender individuals have been well-studied and su...
Transgender persons identify with a gender different from the one they were assigned at birth. Altho...
Objectives: It is hypothesized that transpeople show sex-atypical differentiation of the brain. Vari...
It is still unclear to what extent cross-gender identity is due to pre- and perinatal organising eff...
International audienceThe exact neurobiological underpinnings of gender identity (i.e. the subjectiv...
Research by neuroscientists suggests there is a distinction in the BSTc area of the brain between ma...
The brain structural changes related to gender incongruence (GI) are still poorly understood. Previo...
The aim of this review paper was to investigate variations in sex differentiation, andalso, examine ...
Transsexualism describes the condition when a person's psychological gender differs from his or her ...
Gender identity disorder (GID) refers to transsexual individuals who feel that their assigned biolog...
he increasing use of machine learning approaches on neuroimaging data comes with the important conce...
Transgender people report discomfort with their birth sex and a strong identification with the oppos...
Background: In contrast to cisgender persons, transgender persons identify with a different gender t...
Over the last 25 years, scientists have become more and more keen on understanding the contribution ...
Background: In contrast to cisgender persons, transgender persons identify with a different gender t...
Sex differences and hormonal effects in presumed cisgender individuals have been well-studied and su...
Transgender persons identify with a gender different from the one they were assigned at birth. Altho...
Objectives: It is hypothesized that transpeople show sex-atypical differentiation of the brain. Vari...
It is still unclear to what extent cross-gender identity is due to pre- and perinatal organising eff...
International audienceThe exact neurobiological underpinnings of gender identity (i.e. the subjectiv...
Research by neuroscientists suggests there is a distinction in the BSTc area of the brain between ma...
The brain structural changes related to gender incongruence (GI) are still poorly understood. Previo...
The aim of this review paper was to investigate variations in sex differentiation, andalso, examine ...
Transsexualism describes the condition when a person's psychological gender differs from his or her ...
Gender identity disorder (GID) refers to transsexual individuals who feel that their assigned biolog...
he increasing use of machine learning approaches on neuroimaging data comes with the important conce...