Katherine Gotham is assistant professor of psychiatry at Vanderbilt University in Nashville, Tennessee.
Katherine Gotham
Assistant Professor of Psychiatry
Rowan University
From this contributor
Measuring alexithymia in autistic people
Despite the growing interest in alexithymia in autism research, the tools commonly used to measure this trait may not work reliably in autistic populations. A new scoring method fills that gap.
Measuring alexithymia in autistic people
Suicidal tendencies hard to spot in some people with autism
To effectively screen for suicidality in people with autism, we need to learn how to ask questions that lead to real answers.
Suicidal tendencies hard to spot in some people with autism
Understanding aggression in autism
Two new studies explore the link between autism and aggression — a controversial connection that weighs heavily on individuals with the disorder and their families.
Understanding aggression in autism
How persistent worrying might cause the blues
When individuals with autism see themselves as impaired and get stuck on those thoughts, they may become and stay depressed, says Katherine Gotham.
How persistent worrying might cause the blues
Explore more from The Transmitter
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.