[artículo] 
inThe British Journal of Psychiatry > Año 2022 - Vol. 220 - No. 4 (Abril) . - pp. 202 - 209

Título :	Deep learning identifies robust gender differences in functional brain organization and their dissociable links to clinical symptoms in autism
Tipo de documento:	texto impreso
Autores:	Kaustubh Supekar, Autor ; Carlo de los Angeles, Autor ; Srikanth Ryali, Autor
Fecha de publicación:	2023
Artículo en la página:	pp. 202 - 209
Idioma :	Inglés (eng) Idioma original : Inglés (eng)
Palabras clave:	Autismo, Inteligencia artificial explicable, Red de motores, Ciencia reproducible, Heterogeneidad clínica
Resumen:	Autism spectrum disorder (ASD) is a highly heterogeneous disorder that affects nearly 1 in 189 females and 1 in 42 males. However, the neurobiological basis of gender differences in ASD is poorly understood, as most studies have neglected females and used methods ill-suited to capture such differences.
Link:	./index.php?lvl=notice_display&id=29893

[artículo] Deep learning identifies robust gender differences in functional brain organization and their dissociable links to clinical symptoms in autism [texto impreso] / Kaustubh Supekar, Autor ; Carlo de los Angeles, Autor ; Srikanth Ryali, Autor . - 2023 . - pp. 202 - 209.
Idioma : Inglés (eng) Idioma original : Inglés (eng)
in The British Journal of Psychiatry > Año 2022 - Vol. 220 - No. 4 (Abril) . - pp. 202 - 209

Palabras clave:	Autismo, Inteligencia artificial explicable, Red de motores, Ciencia reproducible, Heterogeneidad clínica
Resumen:	Autism spectrum disorder (ASD) is a highly heterogeneous disorder that affects nearly 1 in 189 females and 1 in 42 males. However, the neurobiological basis of gender differences in ASD is poorly understood, as most studies have neglected females and used methods ill-suited to capture such differences.
Link:	./index.php?lvl=notice_display&id=29893