Universität zu Köln

Clemens, Benjamin, Derntl, Birgit, Smith, Elke, Junger, Jessica, Neulen, Josef, Mingoia, Gianluca, Schneider, Frank, Abel, Ted, Bzdok, Danilo and Habel, Ute (2020). Predictive Pattern Classification Can Distinguish Gender Identity Subtypes from Behavior and Brain Imaging. Cereb. Cortex, 30 (5). S. 2755 - 2766. CARY: OXFORD UNIV PRESS INC. ISSN 1460-2199

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Abstract

The exact neurobiological underpinnings of gender identity (i.e., the subjective perception of oneself belonging to a certain gender) still remain unknown. Combining both resting-state functional connectivity and behavioral data, we examined gender identity in cisgender and transgender persons using a data-driven machine learning strategy. Intrinsic functional connectivity and questionnaire data were obtained from cisgender (men/women) and transgender (trans men/trans women) individuals. Machine learning algorithms reliably detected gender identity with high prediction accuracy in each of the four groups based on connectivity signatures alone. The four normative gender groups were classified with accuracies ranging from 48% to 62% (exceeding chance level at 25%). These connectivity-based classification accuracies exceeded those obtained from a widely established behavioral instrument for gender identity. Using canonical correlation analyses, functional brain measurements and questionnaire data were then integrated to delineate nine canonical vectors (i.e., brain-gender axes), providing a multilevel window into the conventional sex dichotomy. Our dimensional gender perspective captures four distinguishable brain phenotypes for gender identity, advocating a biologically grounded reconceptualization of gender dimorphism. We hope to pave the way towards objective, data-driven diagnostic markers for gender identity and transgender, taking into account neurobiological and behavioral differences in an integrative modeling approach.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Clemens, Benjamin UNSPECIFIED UNSPECIFIED UNSPECIFIED Derntl, Birgit UNSPECIFIED UNSPECIFIED UNSPECIFIED Smith, Elke UNSPECIFIED UNSPECIFIED UNSPECIFIED Junger, Jessica UNSPECIFIED UNSPECIFIED UNSPECIFIED Neulen, Josef UNSPECIFIED UNSPECIFIED UNSPECIFIED Mingoia, Gianluca UNSPECIFIED UNSPECIFIED UNSPECIFIED Schneider, Frank UNSPECIFIED UNSPECIFIED UNSPECIFIED Abel, Ted UNSPECIFIED UNSPECIFIED UNSPECIFIED Bzdok, Danilo UNSPECIFIED UNSPECIFIED UNSPECIFIED Habel, Ute UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-335147
DOI:	10.1093/cercor/bhz272
Journal or Publication Title:	Cereb. Cortex
Volume:	30
Number:	5
Page Range:	S. 2755 - 2766
Date:	2020
Publisher:	OXFORD UNIV PRESS INC
Place of Publication:	CARY
ISSN:	1460-2199
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SEX-ROLE INVENTORY; DYSPHORIA; ROBUST; CONNECTIVITY; OPTIMIZATION; REGISTRATION; DIFFERENCE; UTILITY; MATTER Multiple languages Neurosciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/33514