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.
Explore more from The Transmitter
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.