MRI

Recent articles

Research image showing resting-state functional connectivity in the human red nucleus.

‘Ancient’ brainstem structure evolved beyond basic motor control

The human red nucleus may also help coordinate action, reward and motivated behavior, a new study suggests.

By Sydney Wyatt
16 May 2025 | 5 min read
Child playing with blocks.

Structure of striatum varies by sex in autistic children

The changes could reflect different developmental trajectories between boys and girls with autism, a new study suggests.

By Holly Barker
27 February 2025 | 4 min read
Grid of human brain scans.

Dose, scan, repeat: Tracking the neurological effects of oral contraceptives

We know little about how the brain responds to oral contraceptives, despite their widespread use. I am committed to changing that: I scanned my brain 75 times over the course of a year and plan to make my data openly available.

By Carina Heller
20 January 2025 | 7 min read
Eleanor Maguire.

Remembering Eleanor Maguire, ‘trailblazer’ of human memory

Maguire, mastermind of the famous London taxi-driver study, broadened the field and championed the importance of spatial representations in memory.

By Calli McMurray
10 January 2025 | 8 min read
Research image of brain scans.

Impaired molecular ‘chaperone’ accompanies multiple brain changes, conditions

Rare genetic variants in a protein-folding complex contribute to a spectrum of phenotypes that encompass brain malformations, intellectual disability, autism and seizures, according to a new “hallmark” study.

By Holly Barker
12 December 2024 | 5 min read
Research image of brain scans showing the structural integrity of white-matter tracts.

Repeat scans reveal brain changes that precede childbirth

A detailed look at a “pregnant brain” highlights a need to investigate the neural alterations that occur during a transition experienced by nearly 140 million people worldwide each year.

By Shaena Montanari
16 September 2024 | 9 min listen
Research image of a variety of brain atlases.

New ‘decoder’ tool translates functional neuroimaging terms across labs

The compendium of brain-parcellation atlases makes it possible to compare large-scale network data, which often involves different and overlapping network names.

By Holly Barker
23 July 2024 | 4 min read
Illustration of hands organizing objects of various shapes and sizes.

Simply making data publicly available isn’t enough. We need to make it easy — that requires community buy-in.

I helped create a standard to make it easy to upload, analyze and compare functional MRI data. An ecosystem of tools has since grown up around it, boosting reproducibility and speeding up research.

By Russell Poldrack
17 January 2024 | 7 min read
Research images of the human motor cortex

What happens when a histopathologist teams up with computational modelers?

Answers emerge in my chat with Nicola Palomero-Gallagher, a rare example of someone who connects the brain’s microscopic constituents and macroscopic features.

By Mac Shine
11 December 2023 | 7 min read

Common genetic variants shape the structure of the cortex

A genome-wide association study lays a foundation for deeper investigation of these variants in neurodevelopmental conditions.

By Lauren Schenkman
18 September 2023 | 6 min listen

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