The Transmitter writes about @clionaod.bsky.social's work with
@ainedineen.bsky.social, @annatruzzi.bsky.social, Graham King, @lorinanaci.bsky.social, Keelin Harrison, Enna-Louise D'Arcy, Jessica White, @chiarac.bsky.social, Tamrin Holloway, Anna Kravchenko, @diedrichsenjorn.bsky.social!
We are recruiting a lab manager/research assistant to start in early 2026! The successful candidate will conduct awake infant fMRI, meet cute babies, and join a fun team!
More details (e.g. responsibilities): soc.stanford.edu/people/#join...
Apply here: careersearch.stanford.edu/jobs/social-...
First one out in Developmental Cognitive Neuroscience www.sciencedirect.com/science/arti... 🎉
Can’t wait to read the full @fitngin.bsky.social special issue!
If you are at #SfN25 and curious about infant 7T research, reach out to chat!
After years of development and testing, we are happy to present our work in "Diffusion MRI Processing in the HEALthy Brain and Child Development Study: Innovations and Applications"! www.biorxiv.org/content/10.1.... A thread:
A particular shoutout to Essa Yacoub, @drdamienfair.bsky.social, Alireza Sadeghi-Tarakameh, Jed Elison, @benediktramirez.bsky.social, @smnelson.bsky.social and many more for their important contributions!!
Our work, which was a huge collaborative effort between UMN CMRR and @umn-midb.bsky.social provides a first glance on what we can achieve with 7T MRI in infants and highlights its role as a promising new avenue for developmental cognitive neuroscience.
Leveraging this high-resolution data we were able to identify the Somato-Cognitive Action Network in a five week old infant, the earliest this network has been shown thus far, questioning the degree of ‘maturation’ we assign to infant networks.
Our 7T data showed an increase in spatial precision using a spatial resolution more appropriately matched to infants' small head sizes and improvements in reliability compared to 3T, reducing the need for long data acquisitions.
We implemented a subject specific safety assessment to ensure safe scanning within SAR limits on the Siemens Terra system using a commercially available head coil.
🚨 New preprint on the first infant 7T MRI project in North America! www.biorxiv.org/content/10.1...
We showcase that by leveraging 7T for infants, we can improve data quality and thereby facilitate precision functional mapping in early development.
schematic of fetal OPM-MEG
📈🧠 We're looking for brains! 🧠📈
Postdoc + PhD positions are available to help pioneer fetal MEG with optically pumped magnetometers, measuring prenatal responses to sound and light to understand how we start making sense of the world even before we're born. 🐣
Please get in touch to hear more!
Headshot photos of Dr. Mark Schleiss (left) and Dr. Meghan Swanson (right).
🚀 Big news: With a $3.3M NIH grant, MIDB members Meghan Swanson, PhD, and Mark Schleiss, MD, are leading a first-of-its-kind study of infants born with congenital cytomegalovirus (cCMV).
Learn more ➡️ med.umn.edu/news/univers...
Margaret Sheridan inspires us all with reflections and insights at her Linda Spear mid-career award talk 👏 Reminding us of the incredible growth and value of our field! #flux2025 @fluxsociety.bsky.social
Thanks for all the contributions of @drdamienfair.bsky.social @catcamacho.bsky.social @roberthermosillo.bsky.social @gordonneuro.bsky.social @muriahwheelock.bsky.social @tu-jiaxin.bsky.social @koiralasanju.bsky.social @smnelson.bsky.social @crimoral.bsky.social and many many more!
Precision functional imaging in early development will allow us to uncover individual brain developmental trajectories and help tailor personalized interventions.
For these studies we acquired up to 154 min of low motion resting state fMRI data in neonates and up to 153 min with auditory oddball paradigm in 8 week old infants.
And that babies show individual specific nuances in their BOLD response patterns towards salient stimuli.
Using both resting state and task fMRI, we show that babies brain functional architecture can be divided into cortical areas that are individual specific and distinct from other babies.
Is precision functional brain imaging in babies possible? YES! We show this in not one but two new preprints out of WashU and @umn-midb.bsky.social! 1️⃣: www.biorxiv.org/content/10.1... 2️⃣: www.biorxiv.org/content/10.1...
🐣👶🧠
New layer-fMRI preprint looking at laminar response differences of across (very) early development in newborns.
Exciting new directions in the field.
By Moore et al.
doi.org/10.1101/2025...
What an amazing demonstration of why Precision Functional Mapping matters 🧠It’s been an honor to support the team in this huge endeavor!
Congratulations @agreco.bsky.social ! 🎉
This is your last chance to submit your abstract 👶🧠 ! We have an outstanding scientific program, join us in beautiful Dublin 🇮🇪 for your annual dose of neonatal brain science (and beer 🍻😉)
Alert! ... for the child development world!
@fluxsociety.bsky.social @fitngin.bsky.social
The Healthy Brain and Child Development (HBCD) Study has released its first data wave - it’s massive.
Check here:
docs.hbcdstudy.org
and here:
nbdc-datahub.org
Here’s why it matters 🧠🍼
Alert!!!!
“An Action Networks Model for Pain”
We propose a new model for chronic pain — and highlight two functionally connected cortical networks that could revolutionize how we treat it.
👉 thread below 🧵
osf.io/preprints/ps...
This has been a huge group effort with contributions by @drdamienfair.bsky.social @markiewicz.bsky.social @russpoldrack.org @ericfeczko.bsky.social @oesteban.bsky.social @ted-satterthwaite.bsky.social @tsalo.bsky.social @smnelson.bsky.social @erikglee.bsky.social @koiralasanju.bsky.social and more!
Our paper additionally describes age independent upstream enhancements to the entire NiPreps suite like the implementation of a ‘fit’ and ‘transform’ model and convergence of processing with other popular workflows (ABCD-BIDS, HCP Pipelines). So check out fMRIPrep versions 23.2.1 and later!
fMRIPrep Lifespan produces high quality outputs for structural and functional images in a wide age range which we showed in a random sample of children from 1-43 months. The scalable, modular infrastructure of fMRIPrep Lifespan will ensure adaptability to data from birth to old age.
Hello all fMRIPrep users! What if you could use the same pipeline for processing MRI data from all ages? 👶👩🦱👩🦳 Check out fMRIPrep Lifespan! Our workflow optimized for data from the first years of life and further upstream enhancements to the entire NiPreps suite www.biorxiv.org/content/10.1...