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Yale University researchers are inviting volunteers to participate in a paid brain imaging study on decision-making and eating behavior. Please email [email protected] or visit our website for more information! medicine.yale.edu/ycci/trial/gut… Yale School of Medicine #eatingdisorders

Brain-handedness associations depend on how and when handedness is measured | #bioRxiv biorxiv.org/content/10.110…

Excited to share that our paper "Data leakage inflates prediction performance in connectome-based machine learning models" is now out in Nature Communications nature.com/articles/s4146… (with Link Tejavibulya, @925452096Andy, Stephanie Noble (@sneuroble.bsky.social), and Dustin Scheinost )

𝗕𝗿𝗮𝗶𝗻 𝘀𝘁𝗮𝘁𝗲𝘀 𝗮𝘀 𝘄𝗮𝘃𝗲-𝗹𝗶𝗸𝗲 𝗺𝗼𝘁𝗶𝗳𝘀 Waves are in! "a brain state can be described as a set of recurring, sequential patterns of propagating brain activity, namely a wave." Maya Foster, Dustin Scheinost doi.org/10.1016/j.tics…

Happy to share our new work on applying network control theory on edge-level brain network, recently published on Imaging Neuroscience .

Curious about power in the external validation of brain-phenotype predictive models? Our paper "Power and reproducibility in the external validation of brain-phenotype predictions" was just published in Nature Human Behaviour rdcu.be/dPyFY

Excited to share this new work out now! Here, we characterize patterns of functional connectivity in cocaine use disorder and their spatial association with neurotransmitter receptor densities and transporter bindings assessed through PET imaging.

In a recent study, Yale School of Medicine's Jean Ye, Elizabeth Goldfarb, & Dustin Scheinost used dynamic neuroimaging to uncover positive➕ and negative➖ craving networks in the brain🧠, shedding light on impaired cognitive control and its role in substance use. Read More 👇 news.yale.edu/2024/09/06/sti…

Can neuroimaging predictive models survive across diverse real-world data?🧠🌎We put models to the test across 3 large-scale unharmonized datasets with over 2,800 participants. See our new work in this special issue of Developmental Cognitive Neuroscience: sciencedirect.com/science/articl…

New work from Anja Samardzija and team. Instead of using CPM to identify networks, networks are predefined and used to evaluate external measures. This allows standardized tests (or any measure) to be evaluate in terms of the networks they rely upon. biorxiv.org/content/10.110…

Very excited to share our work on infant brain age from Dustin Scheinost's lab is out on Nature Communications! nature.com/articles/s4146… Here we use brain ages to estimate individual brain’s maturity and find that altered brain age can be related to perinatal exposures and cognitive outcomes.

Alterations in Volume and Intrinsic Resting-State Functional Connectivity Detected at Brain MRI in Individuals with Opioid Use Disorder | Radiology pubs.rsna.org/doi/10.1148/ra…

Brain volume and function are altered in individuals with opioid use disorder, a new Yale Department of Radiology & Biomedical Imaging study reports. #medtwitter #MRI brnw.ch/21wPlUC

🧠 MRI reveals structural & functional brain changes in opioid receptor–dense regions (e.g., thalamus, cerebellum) in individuals with opioid use disorder vs. controls. Saloni Mehta Dustin Scheinost Yale Department of Radiology & Biomedical Imaging Yale-MRRC-Neuroscience Yale School of Medicine #Radiology pubs.rsna.org/doi/10.1148/ra…

Patients with opioid use disorder show structural and functional brain alterations in opioid receptor–dense regions compared with healthy controls, assessed at T1 and resting-state fMRI. Saloni Mehta Dustin Scheinost Yale Department of Radiology & Biomedical Imaging Yale-MRRC-Neuroscience Yale School of Medicine bit.ly/3ZMJGb9

Thrilled to share Jean Ye’s latest paper on brain dynamics in opioid use disorder (OUD), using resting-state, task-based, and naturalistic fMRI! Check it out at JAMA Network Open jamanetwork.com/journals/jaman…