Zebrafish social behavior swims into mainstream
New studies bolster the idea that zebrafish models can say something meaningful about social behavior in autism.
New studies bolster the idea that zebrafish models can say something meaningful about social behavior in autism.
The open-source software makes it possible to overlay disparate datasets and potentially accelerate hypothesis generation.
The technique could be used to identify and control cells involved in autism.
Showing an association is not enough to determine causation.
The new tool may help researchers reconstruct the sequence of biological events that underlie development.
By breaking rodent vocalizations into parts, TrackUSF distinguishes rats with mutations in the SHANK3 gene from their wildtype counterparts.
More than two years into the COVID-19 pandemic, emerging data support the remote tactics that kept autism diagnosis going during lockdowns.
Swiss biotech Stalicla hopes to bring precision medicine to autism. Experts praise efforts to identify autism subgroups, but evidence to support the company’s claims has yet to be seen.
Neurons with a faulty copy of SETD1A, a gene tied to autism and schizophrenia, show structural abnormalities and altered connectivity patterns.
Machine-learning tools are widely available and can help speed up studies in animal models of autism. Here’s how to get started with the ‘minimal viable product’ and a few pro tips.