📑Meet Kaiulani Shulman, Medical Student at Harvard Medical School @harvardmed with a focus on pediatric research. Learn about their research “Reading for life-long health” ⬇️
Ever wondered how data leakage can affect neuroimaging (specifically functional/structural connectivity) predictive models? Check out our new preprint⬇️
https://t.co/hjC4ncR1yt
What are your favorite papers on Predictive modeling, Neuroimaging, Deep learning, Data science and Computational psychiatry / cognitive neuroscience? I add 9 of mine here. Yours?👇👇👇
New article: Revisiting best practices: a reflection on the online evaluation and treatment of ADHD and implications for future practice https://t.co/1h5hpRVfQl @YaleCSC@YalePsych@acamh@TheCAMH
Finally, we look to the future and anticipate practical and ethical challenges to come, including:
- fair + trustworthy models
- responsible interpretation
- validating evolving methods
- increasing sample sizes
As usual, data sharing + transparent reporting are key!
4/5
Do you do:
👶 fetal/infant/toddler (FIT) neuroimaging?
💻 machine learning?
Want to do both?
If so, we’re excited to announce a new primer and review on FIT-specific machine learning
—a reflection on 100+ studies from the past decade
https://t.co/uVAMP1v3vL
1/5
Have you wondered how predictive ML modelling has been used in the #FIT research? Freshly published work by @DScheinost et al. summarizes the existing studies and outlines the methodological & ethical considerations! #MachineLearning#fitng https://t.co/3GkDixPVP8
🧠Does depression affect fMRI reliability?
⚖️Can we compare multivariate and univariate reliability?
@sNeuroble, @DScheinost, Argyris Stringaris, @shotgunosine, and I (an NIH-Yale collaboration!) answer these questions in our new preprint: https://t.co/ypYhR9FnUu
📢 New paper! We provide experimental evidence that placement into high-quality, family-based care early in life positively impacts how brain structure develops over the course of adolescence in previously-institutionalized youth🧠 Children need nurturing families to thrive!
Neuro friends,
How much do you cite yourself?
We looked at 150k articles and 8 million citations from 63 journals between 2000-2020 to find out!
https://t.co/8UvW8N9Dyv
1/9