Meng-Chuan Lai is associate professor of psychiatry at the University of Toronto in Canada.
Meng-Chuan Lai
Assistant professor
University of Toronto
From this contributor
Quashing sex bias in autism research calls for participant rainbow
Autism researchers must attend to the need for sex and gender diversity in study design as a rule rather than as an exception.
Quashing sex bias in autism research calls for participant rainbow
Brains of girls, boys may mark distinct paths to autism
Differences between the brains of men and women with autism may help explain why men are more susceptible to the condition and women appear to be protected from it.
Brains of girls, boys may mark distinct paths to autism
Mind the gender gap
Autism may be male-biased in prevalence, but our understanding of it should not be, argues Meng-Chuan Lai.
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Prevalence of profound autism declines with new definition
The updated, more precise definition used in a CDC study includes adaptive scores.
Prevalence of profound autism declines with new definition
The updated, more precise definition used in a CDC study includes adaptive scores.
Is it time for neuroscience to shift its focus from a computational mind to a navigating mind?
Andrea Hiott explains her navigational approach to the mind, and why now is the time to embrace seemingly paradoxical findings in neuroscience.
Is it time for neuroscience to shift its focus from a computational mind to a navigating mind?
Andrea Hiott explains her navigational approach to the mind, and why now is the time to embrace seemingly paradoxical findings in neuroscience.
Human brain organoids come of age—but still have room to grow
The U.S. government has touted organoids as an alternative to animals for studying the brain. The model has improved since its debut in 2013, but scientists are still working to overcome key limitations: immaturity, consistency and the lack of vascularization.
Human brain organoids come of age—but still have room to grow
The U.S. government has touted organoids as an alternative to animals for studying the brain. The model has improved since its debut in 2013, but scientists are still working to overcome key limitations: immaturity, consistency and the lack of vascularization.