Ted Satterthwaite

Ecstatic to see the RBC paper out!! MAJOR congrats to all-star first-author @goliashf. RBC has been an amazing collab between #pennlinc & @childmindinst, led with the inimitable @MilhamMichael. So many thx to the many many many collabs that made RBC happen.

Trained as a computer scientist and bioengineer, I am over the moon to publish our paper (Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders) at @NatureBME: nature.com/articles/s4155….…

At the Ann S. Bowers Women’s Brain Health Initiative, we want women in data science to flourish. We thus launch the #WiDSDatathon Global challenge, open to all levels now on Kaggle! Entrants will predict ADHD via fMRI, keeping sex differences in mind. youtu.be/ESbiTbnlbdM

Please consider helping us by providing feedback for our NiChart standalone and cloud-based software in the two very short surveys at neuroimagingchart.com. What do you like /would you like to see? This will also help us meet the requirements of our Brain Initiative program.

Phenomenal work -- must read -- bravo!!

CONGRATS CAROLINA!!!!!! WOOO!!!

Tissue segmentation just got easier! DIPY 1.10 introduces Directional Average Maps (DAM) – a novel approach to extracting tissue properties directly from DWI with no extra modeling. Fast, intuitive, and insightful! 🔬⚡ #DIPY #Neuroimaging #mri

We love using @CircleCI for all our software (inc QSIPrep, XCP-D) but they are ghosting us on a basic billing issue despite multiple tickets. Anyone know how to get something more than an auto-reply?

1/3 Tutorial on exploring ecological momentary data is online at AMPPS, with: -Accessible ways to visualize data for better understanding -Models to get some first insights -Further reading boxes for more advanced topics -Reproducible pipeline you can run over your own data

Our latest study on head motion in diffusion MRI: dx.doi.org/10.1002/hbm.70… we (1) describe typical head motion (2) show that modern preprocessing pipelines effectively mitigate motion/biases (3) no differences in microstructure between "movers" and "non-movers".

So excited to share that DeepPrep is now online in @naturemethods! 🚀 It’s 10× faster than the SOTA pipeline and more robust in handling clinical cases. We’ve just released v25.1.0 with a concise GUI and support for both Win and Linux. Give it a try! 📷 shorturl.at/0pB4H

Advancing Inclusive AI in Women’s Brain Health 🧠✨ We are thrilled to announce a $1.5M award from the Chan Zuckerberg Initiative to support the Women’s Brain Health Initiative in advancing inclusive AI through multi-modal biomedical datasets.

Job Alert! Technical Director to lead the Behavioral Evaluation of Advanced Model Systems (BEAMS) Hub of the BRIDGE Center research.chop.edu/bridge at Children's Hosp of Philadelphia. Great for a senior postdoc or research associate w/ expertise in behavior tinyurl.com/ywbhckj9

Thanks to everyone's feedback, we have updated our calculator to optimize sample size N & scan time T for fMRI studies. The first new feature is that users can explore how different N & T leads to different accuracy, e.g., N=1000 & T=30min => 81% accuracy.🧵

After 5 years of data collection (179 first-time mothers + controls), and 2 years of data analyses and article writing, the first @BeMotherProject paper is out! We uncovered a U-shaped trajectory in maternal GM volume, resolving a long-standing puzzle in the maternal brain field.

In the action-mode, arousal is heightened, attention focused externally, and plans are converted to goal-directed movements and updated based on feedback, such as pain. The brain’s action-mode is created by a dedicated action-mode network (AMN) rdcu.be/d5odm. In the…

Thrilled to share our latest publication in @NatMentHealth 🚨 We explored the multimodal neural signature of face processing in autism using normative modeling and linked ICA in the EU-AIMS dataset. Read more here: nature.com/articles/s4422…

For anyone interested in how well large language models can generate quantitative data for analysis: osf.io/aqu9x/download/ #AI #psychometrics #LLM #taxonomy #Statistics

this is truly awesome work — congrats @ZPRosenthal

How can we increase the replicability of brain-wide association studies in a rigorous way? A @Nature paper by @kaidikangkk @jakob_seidlitz @rai_bethlehem @sattertt @VandyAtVandy et al identifies the relevant study design features that contribute nature.com/articles/s4158…