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Allan L. Reiss

Researcher at Stanford University

Publications -  553
Citations -  64704

Allan L. Reiss is an academic researcher from Stanford University. The author has contributed to research in topics: Fragile X syndrome & Autism. The author has an hindex of 118, co-authored 529 publications receiving 59363 citations. Previous affiliations of Allan L. Reiss include Johns Hopkins University School of Medicine & University of California, San Diego.

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Hippocampal size positively correlates with verbal IQ in male children

Cynthia M. Schumann, +5 more
- 01 Jun 2007 - 
TL;DR: Since the hippocampus strongly correlated with verbal but not performance IQ, the findings reinforce the hypothesis that the hippocampus is involved in declarative and semantic learning, which contributes more notably to verbal IQ, than to performance IQ.
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Amygdalar activation associated with happy facial expressions in adolescents: a 3-T functional MRI study.

Tony T. Yang, +4 more
- 01 Aug 2003 - 
TL;DR: The results demonstrate the feasibility of using happy facial expressions to noninvasively study amygdalar function in adolescents and establish a baseline against which the amygdAlar response to emotional stimuli in several psychiatric conditions may be compared.
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Sex chromosomes and the brain: a study of neuroanatomy in XYY syndrome.

Daniel M. Bryant, +6 more
- 01 Dec 2012 - 
TL;DR: To assess global and regional brain matter variations associated with XYY syndrome by comparison with Klinefelter syndrome and typical development.
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Topological methods reveal high and low functioning neuro-phenotypes within fragile X syndrome.

David Romano, +8 more
- 01 Sep 2014 - 
TL;DR: The results suggest that despite arising from a single gene mutation, FXS may encompass two biologically, and clinically separable phenotypes, and underscore the potential of TDA as a powerful tool in the search for biological phenotypes of neuropsychiatric disorders.
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Estimating individual contribution from group-based structural correlation networks.

Manish Saggar, +6 more
- 15 Oct 2015 - 
TL;DR: Two novel distance-based approaches to extract information regarding individual differences from the group-level structural correlation networks (SCNs) are introduced and are anticipated that the approaches developed could be used as a putative biomarker for altered connectivity in individuals with neurodevelopmental disorders.