Brian Lee is associate professor of epidemiology and biostatistics at Drexel University in Philadelphia.
Brian Lee
Associate professor
Drexel University
From this contributor
Journal club: Does lithium in drinking water contribute to autism?
A study published in JAMA Pediatrics suggests that autism is more common among people born in areas with high levels of lithium in drinking water, but it is too soon to say whether prenatal lithium exposure is truly a concern.
Journal club: Does lithium in drinking water contribute to autism?
Autism heritability: It probably does not mean what you think it means
The question of autism's heritability is compelling for researchers and laypeople alike, but many people in both groups misunderstand its definition.
Autism heritability: It probably does not mean what you think it means
Explore more from The Transmitter
Anti-seizure medications in pregnancy; TBR1 gene; microglia
Here is a roundup of autism-related news and research spotted around the web for the week of 2 December.
Anti-seizure medications in pregnancy; TBR1 gene; microglia
Here is a roundup of autism-related news and research spotted around the web for the week of 2 December.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.