Solnit Integrated Child and Adult Psychiatry Resident @YaleCSC @YalePsych | MD @YaleMed | B.S. @Yale | Autism Research | Views my own

Joined April 2009
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New in @JACEPOpen : We examined factors linked to physical restraint use in pediatric EDs. Findings highlight opportunities to improve behavioral health care for all children. 🔗 sciencedirect.com/science/ar… #ChildPsych #PedsED @YaleCSC @YalePsych @YalePediatrics @YalePediatricEM

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Max Rolison, MD retweeted
Congratulations to the #yalepsych Residency Class of 2025 on their graduation tonight. @YaleMed
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Max Rolison, MD retweeted
📑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” ⬇️
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RT @J_McPartland: Last day to apply!
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RT @J_McPartland: Looking for a #postdoc? Interested in #autism #neuroscience #research? Join this awesome team! Specifically interested in…
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Max Rolison, MD retweeted
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?👇👇👇
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Predicting the future of neuroimaging predictive models in mental health Tejavibulya, Rolison, Gao, Liang, Peterson, Dadashkarimi, Farruggia, Hahn, Noble, Lichenstein, Pollatou, Dufford & Scheinost @molpsychiatry volume 27, pages 3129–3137 (2022) nature.com/articles/s41380-0…
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New article: Revisiting best practices: a reflection on the online evaluation and treatment of ADHD and implications for future practice rdcu.be/c8Ica @YaleCSC @YalePsych @acamh @TheCAMH

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Max Rolison, MD retweeted

ALT Best Team Ever!! GIF

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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
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Max Rolison, MD retweeted
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 authors.elsevier.com/c/1gZ0j… 1/5

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RT @J_McPartland: Still time to apply for a #postdoc @YaleMedicine @YaleCSC!
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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 biologicalpsychiatryjournal.…

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Max Rolison, MD retweeted
🧠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: medrxiv.org/content/10.1101/…
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Max Rolison, MD retweeted
📢 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!
🚨 new paper in Science Advances today! science.org/doi/10.1126/scia… In collaboration with @CharlesaNelson1 @cora_mukerji @K_L_Humphreys Nathan Fox, Kate Mclaughlin, Charley Zeanah, and an ARMY of incredible research assistants!
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Max Rolison, MD retweeted
So fun to work on this project! Make sure to check out our github page where you can evaluate your own self-citation rate: github.com/mattrosenblatt7/s…
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! biorxiv.org/content/10.1101/… 1/9
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Super excited to be part of this great work led by @RosenblattMatt and @DScheinost… read thread for more details
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! biorxiv.org/content/10.1101/… 1/9
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