I’m excited to share our new preprint – led by Hyejin J. Lee & Derek Smith – where we applied precision approaches (i.e., extensive per-participant data collection) to behavioral measures of inhibitory control. osf.io/preprints/psya… A 🧵 …

Interested in this work and going to #psynom23 ? Stop by Hyejin J. Lee 's poster: Date: 12:00 – 1:30 PM Saturday November 18, 2023 Number: 4022

Enjoyed presenting today at #psynom23 Thank you to everyone who stopped by to say hello and gave helpful comments!

Using precision approaches to improve brain-behavior prediction Review by Hyejin J. Lee (Hyejin J. Lee), Ally Dworetsky (Ally Dworetsky), Nathan Labora (Nathan Labora), & Caterina Gratton (Caterina Gratton) Free access before 12/5: authors.elsevier.com/a/1jxfT4sIRvTB…

📅 Excited to announce our new review article in Trends in Cognitive Sciences, led by Hyejin J. Lee with Ally Dworetsky and Nathan Labora Check it out here: go.illinois.edu/ticsReview 🧵below...

📣 Exciting news! The Gratton Lab's latest review has been published In Trends in Cognitive Sciences. go.illinois.edu/ticsReview Led by Hyejin J. Lee w Ally Dworetsky & Nathan Labora Their original artwork was also featured on the cover! 👏

Excited to announce that our paper (led by @hyejinjad & Derek Smith) is out in Nature Human Behavior: go.illinois.edu/Lee2025_NHB We use 36 days of testing in 4 inhibitory control tasks to examine the precision of inhibitory control measures in *individuals* and how they vary 🧵👇

Collecting an extensive publicly available dataset on 4 inhibitory control tasks, Caterina Gratton et al. show that more than 1000 trials/participant are necessary to reduce within-subject variability and improve the reliability of the congruency effect. nature.com/articles/s4156…