Parkinson’s disease

Recent articles

Illustrated portrait of Tim Ryan.

Timothy Ryan on his pivotal switch from studying particle physics to decoding synaptic transmission

Dissuaded from pursuing theoretical physics and deterred by the “long feedback loop” in experimental physics, the National Academy of Sciences member took inspiration from “polymath” Watt Webb and “visionary” Stephen Smith—and learned to work “completely outside his comfort zone.”

By Brady Huggett
1 October 2024 | 70 min listen
An illustration of a brain

How can we fold cellular-level details into whole-brain neuroimaging networks?

I got answers from Bratislav Misic, who is inventing practical ways to connect the brain’s microscopic features with its macroscopic organization.

By Mac Shine
21 February 2024 | 8 min read
Abstract illustration of antibodies scattered against a peach-colored background.

We found a major flaw in a scientific reagent used in thousands of neuroscience experiments — and we’re trying to fix it.

As part of that ambition, we launched a public-private partnership to systematically evaluate antibodies used to study neurological disease, and we plan to make all the data freely available.

By Mona AlQazzaz, Aled Edwards
5 February 2024 | 6 min read

Explore more from The Transmitter

Photograph of the BRIDGE team and students visiting a laboratory.

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
Research image of neurite overgrowth in cells grown from people with autism-linked PPP2R5D variants.

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
Digitally distorted building blocks.

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