Manuel Casanova is professor of biomedical sciences and SmartState Endowed Chair in Translational Childhood Neurotherapeutics at the University of South Carolina School of Medicine and Greenville Health System.
Manuel Casanova
Professor
University of South Carolina
From this contributor
How the autonomic nervous system may govern anxiety in autism
The branch of the nervous system that regulates subconscious bodily processes such as breathing and digestion may play a key role in autism.
How the autonomic nervous system may govern anxiety in autism
Analyzing postmortem brains for autism? Proceed with caution
Any study of postmortem brains must control for artifacts, which are pervasive in brain tissue.
Analyzing postmortem brains for autism? Proceed with caution
Explore more from The Transmitter
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.