Christine Wu Nordahl is professor of psychiatry and behavioral sciences at the University of California, Davis MIND Institute.
Christine Wu Nordahl
Assistant professor
University of California, Davis
From this contributor
Early brain enlargement augurs distinct form of autism
A minority of boys with autism have brains that are unusually large relative to their bodies — a trait tied to regression and intellectual disability.
Early brain enlargement augurs distinct form of autism
By
Christine Wu Nordahl
11 April 2017 | 5 min read
Questions for Nordahl, Mello: Scans for children with autism
Techniques used in behavioral interventions could help scientists scan the brains of children who have both autism and intellectual disability.
Questions for Nordahl, Mello: Scans for children with autism
By
Jessica Wright
19 July 2016 | 6 min read
Charting typical brain development
How can we characterize what is atypical when we don’t fully understand what typical brain development looks like, particularly under the age of 5? Christine Wu Nordahl explains the importance of scanning the brains of typically developing children.
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Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
By
Lauren Schenkman
20 May 2025 | 6 min read
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
By
Jill Adams
20 May 2025 | 2 min read
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
By
Alona Fyshe
19 May 2025 | 7 min read