Carrie Arnold is a Virginia-based freelance science journalist who covers many aspects of the living world. She’s a contributing editor at NOVA Next, and has also written for Mosaic, National Geographic, Aeon, Nautilus, Scientific American and Women’s Health. She is also the author of “Decoding Anorexia: How Breakthroughs in Science Offer Hope for Eating Disorders.”
Carrie Arnold
From this contributor
Weighing up autism’s obesity crisis
Autism’s underlying biology, associated behaviors and treatments can all put people on the spectrum at serious risk for obesity.
Rare form of autism shows unique pattern of regression
More than 40 percent of children with Phelan-McDermid syndrome lose skills they once had, beginning, on average, at age 6.
Rare form of autism shows unique pattern of regression
The innovators: How families launch their own autism studies
Some parents are starting ‘N-of-1’ studies for autism, but their efforts don’t always get taken seriously.
The innovators: How families launch their own autism studies
The invisible link between autism and anorexia
Autism and anorexia may seem to have nothing in common, but below the surface, the two conditions are startlingly similar—and sometimes affect the same person.
The invisible link between autism and anorexia
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.