Deborah Fein is Board of Trustees Distinguished Professor Emeritus in the Department of Psychological Sciences and the Department of Pediatrics at the University of Connecticut in Storrs.
Deborah Fein
Board of Trustees Distinguished Professor Emeritus
University of Connecticut
From this contributor
‘Prototypical autism’ research is likely a dead end
Efforts to define “frank” or “classic” forms of the condition build on several assumptions that the science has not yet borne out.
‘Prototypical autism’ research is likely a dead end
By
Deborah Fein, David Amaral, Einat Waizbard-Bartov
25 January 2024 | 8 min read
Journal club: Why do some children lose their autism diagnosis?
More than one-third of a cohort of autistic toddlers no longer meet criteria for the condition at school age, according to a new study, but the findings may not generalize because the cohort is predominantly white and affluent.
Journal club: Why do some children lose their autism diagnosis?
By
Deborah Fein
9 October 2023 | 5 min read
Screening toddlers for autism is worthwhile
A Norwegian study published in February suggested that the Modified Checklist for Autism in Toddlers fails to detect many cases of autism at 18 months of age. The creators of the test explain why there’s more to the story.
Screening toddlers for autism is worthwhile
By
Deborah Fein, Diana Robins
29 April 2014 | 6 min read
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Francisco J. Rivera Rosario, David Sussillo
17 March 2026 | 7 min watch
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.
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.
By
Jill Adams
17 March 2026 | 2 min read
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
By
Amy Kuceyeski
16 March 2026 | 0 min watch