Jill U. Adams is a freelance science journalist based in Albany, New York. She covers health, mental health and biomedical research for such publications as The Transmitter, The Washington Post, Scientific American, Undark and The Scientist. She has a Ph.D. in pharmacology from Emory University in Atlanta, Georgia.
Jill Adams
Contributing writer
From this contributor
Infant Brain Imaging Study findings, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 23 March.
Leucovorin, long-read sequencing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 16 March.
Portfolio of SCN2A gene variants, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 9 March.
Autism in old age, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 March.
In-vivo base editing in a mouse model of autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 23 February.
In-vivo base editing in a mouse model of autism, and more
By
Jill Adams
24 February 2026 | 2 min read
Explore more from The Transmitter
Astrocytes in mouse amygdala encode emotional state
The glial cells’ activity reliably tracks with freezing, hesitancy and other behaviors reminiscent of anxiety.
Astrocytes in mouse amygdala encode emotional state
The glial cells’ activity reliably tracks with freezing, hesitancy and other behaviors reminiscent of anxiety.
By
Holly Barker
24 March 2026 | 4 min read
Data duplications flagged in highly cited gut-brain studies
The duplications are a product of “inadvertent errors,” the authors say.
Data duplications flagged in highly cited gut-brain studies
The duplications are a product of “inadvertent errors,” the authors say.
By
Claudia López Lloreda
24 March 2026 | 4 min read
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
By
Samuel Gershman
23 March 2026 | 22 min read