自闭症对男女性大脑的影响区域不同

Autism affects different parts of the brain in females with autism than males with autism, a new study reveals. The research is published today in the journal Brain as an open-access article. Scientists at the Autism Research Centre at the University of Cambridge used magnetic resonance¹ imaging to examine whether autism affects the brain of males and females in a similar or different way. They found that the anatomy²（解剖学） of the brain of someone with autism substantially depends on whether an individual is male or female, with brain areas that were atypical in adult females with autism being similar to areas that differ between typically developing males and females. This was not seen in men with autism.

 

"One of our new findings is that females with autism show neuroanatomical（神经解剖学的） 'masculinization'," said Professor Simon Baron-Cohen, senior author of the paper. "This may implicate³ physiological⁴ mechanisms⁵ that drive sexual dimorphism, such as prenatal（产前的） sex hormones⁶ and sex-linked genetic⁷ mechanisms."

 

Autism affects 1% of the general population and is more prevalent in males. Most studies have therefore focused on male-dominant samples. As a result, our understanding of the neurobiology of autism is male-biased.

 

"This is one of the largest brain imaging studies of sex/gender⁸ differences yet conducted in autism. Females with autism have long been under-recognized and probably misunderstood," said Dr Meng-Chuan Lai, who led the research project. "The findings suggest that we should not blindly assume that everything found in males with autism applies to females. This is an important example of the diversity within the 'spectrum⁹'."

 

Dr Michael Lombardo, who co-led the study, added that although autism manifests itself in many different ways, grouping by gender may help provide a better understanding of this condition.

 

He said: "Autism as a whole is complex and vastly diverse, or heterogeneous¹⁰, and this new study indicates that there are ways to subgroup the autism spectrum, such as whether an individual is male or female. Reducing heterogeneity¹¹ via subgrouping will allow research to make significant progress towards understanding the mechanisms that cause autism."

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