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
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?
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
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Manifestantes argentinos denuncian el recorte al financiamiento científico
Manifestantes alrededor del país exigieron al gobierno que aumente los salarios de las universidades públicas y el financiamiento para la investigación científica.
Manifestantes argentinos denuncian el recorte al financiamiento científico
Manifestantes alrededor del país exigieron al gobierno que aumente los salarios de las universidades públicas y el financiamiento para la investigación científica.
Outside influences on CHD8 variant phenotypes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 18 May.
Outside influences on CHD8 variant phenotypes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 18 May.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.