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
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‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
‘Brain Flows: How Network Dynamics Compose the Human Mind,’ an excerpt
In his new book, published today, Michael W. Cole examines how the movement of neuronal activity between neuronal populations shapes free will, intelligence and creativity. In this excerpt from Chapter 1, Cole explores why activity flows could unify efforts to map brain functions and connectivity.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
Prenatal pruning of neurons with copy number variants; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 November.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.
New Stanford initiative aims to build digital twin of human brain
The effort, funded by private donors, seeks to train the model on a trove of MRI and magnetoencephalography data that scientists plan to collect over the next five years—but questions about its scientific utility and feasibility remain.