We have developed a CBT-based program that anyone can download and use to stay mentally healthy in these difficult times. Please share widely! jimdo-storage.global.ssl.fastly.net/file/e580e96b-… Jay Van Bavel, PhD Jamil Zaki Dr. Emily Anhalt moving to @drjacekdebiec.bsky.social 🌎🔥 Prof Miranda Wolpert Director, National Institute of Mental Health Matt Haig Allen Frances

New preprint! 👇 We related connectome architecture to patterns of atrophy in the common epilepsies and identified syndrome-specific disease epicenters 📌 Our ENIGMA Consortium analysis pooled data across 19 international sites and included 1,021 patients and 1,564 controls 🌎🌏🌍

PANSS sub scales (positive, negative, general psychopathology) are widely used in basic & clinical research on #Schizophrenia ... but do not represent natural dimensions ! Replacing them with robust & generalizable factors is now easy with our new tool: webtools.inm7.de/sczDCTS/

Thx Simon Eickhoff ! An amazing & important tool for #Schizophrenia research. Wonderful collaboration MHASC © Lille Neuroscience & Cognition Read the #OA paper here: sciencedirect.com/science/articl…

NEW Research—First human trial of #COVID19 vaccine finds it is safe and induces rapid immune response: finding from a dose-escalation, single-centre, open-label, non-randomised, phase 1 trial hubs.ly/H0qMrl-0 Thread (1/3)

Happy to be involved in this nice and exciting work!

QUICK introductions to: - Thresholding connectomes: Is it necessary? youtu.be/MZEQR7gKfNE - Null models in network neuroscience youtu.be/QuEvtbbymqI - Comparing connectomes: Inference & prediction youtu.be/X5O1Eh7UfII Based on recent OHBM course. 10mins per topic!

Intrinsic connectivity patterns of task-defined brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and are linked to molecular architecture biologicalpsychiatryjournal.com/article/S0006-…

Phenomenal work from our lab & collaborators led by Ji Chen: Connectivity patterns of task-defined networks allow individual prediction of dimensional schizophrenia psychopathology & link to molecular architecture Short thread on the highlights ⤵️ biologicalpsychiatryjournal.com/article/S0006-…

#Autism is often associated with an excess of synapses: but how does this trait affect large-scale circuit function? Here's what we found by modelling autism-related pruning deficits across-species🧠🐭 ➡️tinyurl.com/y2yfj74o By Marco Pagani Michael Lombardo & al. Thread 1/n

Elijah Baughan Denny Borsboom @JoeBathelt There are actually many such studies, e.g. 1.Cedric Huchuan Xia, MD, PhD nature.com/articles/s4146… 2.@valeria_kebets doi.org/10.1016/j.biop… 3.@tangsy93 doi.org/10.1016/j.biop… 4.Suk Jun Hong doi.org/10.1038/s41467… 5.doi.org/10.1038/s41380… 6.Simon Eickhoff doi.org/10.1016/j.biop… And many more!

Excellent meta-analysis about the common brain networks underlying human social interactions! ⁦Simon Eickhoff⁩ ⁦Elizabeth Redcay⁩ sciencedirect.com/science/articl…

Resting-state functional connectivity of three seeds within the lateral temporal lobe predicts individual formal thought disorder severity: great work by Ji Chen w/ Simon Eickhoff #schizophrenia #psychiatry #machinelearning sciencedirect.com/science/articl…

@ar0mcintosh Jonny Smallwood Luiz Pessoa Work by Simon Eickhoff and others (arxiv.org/abs/1912.06686) backs the second interpretation. Anyhow, good performance on overly homogeneous samples has little external validity or practical usage.

We are extremely glad to notice that our 1st talk on the # Computational psychiatry (CP) seminar will be given by Dr. Al Powers at 9 am EDT this Wednesday (Aug 11). Thank Dr. HaiyangGeng for coordinating this event. See zoom info on the poster. Pls RT.

I'm excited to present the 1st ENIGMA-Sleep project about #insomnia on>1000 dubjects in #WorldSleep2022 Many thanks to Antoine Weihs, Julian Schiel, Habibolah Khazaie, Simon Eickhoff Paul Thompson Sofie Valk ENIGMA Consortium Neda Jahanshad Kai Spiegelhalder Hanwen Bi Kaustubh Patil, P#106

1/9 Paper is out rdcu.be/cNHoL Here's some takeaways including new tidbits (good & bad!) since the preprint & even after the paper was accepted. Large sample sizes are helpful for individual-level prediction. We have known that for quite some time, but the recent...