Ji Chen

Assistant professor @ZJU_China | PhD @fzj_inm7
| machine learning | computational psychiatry | neuroimage|

[Ji Chen @jchen_ML_Psy]

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[Simon Eickhoff @INM7_ISN]

Our new paper led by Ji Chen (@INM7_ML_Psy) now out in Biological Psychiatry

We here propose an well-interpretable, dimensional representation of #schizophrenia psychopathology; extensively cross-validated in ~2000 patients across Europe, Asia & the US

https://t.co/CltKLT0K8X

[Ji Chen @jchen_ML_Psy]

☝️50 days free access: https://t.co/NeR8ua4tdG

[Ji Chen @jchen_ML_Psy]

Exciting that interpersonal computational psychiatry offers an explanation for how biased cognitive processes lead to differential negative symptoms, @dr_rick_adams. Thanks @TheLancetPsych and colleagues. Might be interesting alternative to a data-driven view!?! @INM7_ISN @bttyeo

[Yafeng Pan @Yafeng_Pan]

We propose an interpersonal computational framework that (1) leverages the active inference framework to model aberrant social coordination and (2) incorporates dynamical system models to dissect intrapersonal and interpersonal synchronisation to inform a statistical model.

[Dr. Charles Noplis @DrCharlesNoplis]

Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry - BMC Medicine - BMC Medicine https://t.co/MEUlpiWamA

[Thomas Yeo @bttyeo]

1/9 Paper is out https://t.co/qzSCPHFQPn

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...

[Masoud Tahmasian, MD. PhD. @MasoudTahmasian]

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, @INM7_ISN @PTenigma @sofievalk @enigmabrains @njahanshad Kai Spiegelhalder @Harvey_Bi2333 Kaustubh Patil, P#106

[Chinese Computational Psychiatry Network (CCPN) @ChineseCcpn]

We are extremely glad to notice that our 1st talk on the # Computational psychiatry (CP) seminar will be given by Dr. @AlPowers7 at 9 am EDT this Wednesday (Aug 11). Thank Dr. @HaiyangGeng for coordinating this event. See zoom info on the poster. Pls RT.

[Gael Varoquaux 🦋 @GaelVaroquaux]

@ar0mcintosh @the_mindwanders @PessoaBrain Work by @INM7_ISN and others (https://t.co/i7ltI5z9Iu) backs the second interpretation.

Anyhow, good performance on overly homogeneous samples has little external validity or practical usage.

[Thomas Nickl-Jockschat @jockschat]

Resting-state functional connectivity of three seeds within the lateral temporal lobe predicts individual formal thought disorder severity: great work by
@jchen_ML_Psy w/ @INM7_ISN #schizophrenia #psychiatry #machinelearning
https://t.co/WZjKldqlZE

[Leonhard Schilbach @leoschilbach]

Excellent meta-analysis about the common brain networks underlying human social interactions! ⁦@INM7_ISN⁩ ⁦@eredcay⁩ https://t.co/J6vHWekhHJ

[Thomas Yeo @bttyeo]

@EliBaughan @BorsboomDenny @JoeBathelt There are actually many such studies, e.g.

1.@cedrichxia https://t.co/HD7qq5nAsM
2.@valeria_kebets https://t.co/FT7KI4jEaL
3.@tangsy93 https://t.co/SzmEAaioeK
4.@hong_seok_jun https://t.co/7a0x2cD6Bz
5.https://t.co/v1i5YeiV6Y
6.@INM7_ISN https://t.co/noc42WZQB3

And many more!

[Alessandro Gozzi @Gozzi_Ale]

#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🧠🐭
➡️https://t.co/K7ZVLBGTK7

By @MarcoPagani1985 @mvlombardo & al.

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[Simon Eickhoff @INM7_ISN]

Phenomenal work from our lab & collaborators led by @jchen_ML_Psy:

Connectivity patterns of task-defined networks allow individual prediction of dimensional schizophrenia psychopathology & link to molecular architecture

Short thread on the highlights ⤵️

https://t.co/HycCnuKTIp

[Zhiqiang Sha (@zhiqiangsha.bsky.social) @sha_zhiqiang]

Intrinsic connectivity patterns of task-defined brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and are linked to molecular architecture
https://t.co/IqBww6KpEG

[Ji Chen @jchen_ML_Psy]

@WeiFDU Congrats!

[Andrew Zalesky @AndrewZalesky]

QUICK introductions to:

- Thresholding connectomes: Is it necessary?
https://t.co/zoozdGy2ki

- Null models in network neuroscience
https://t.co/GRIF9nOgI9

- Comparing connectomes: Inference & prediction
https://t.co/GdNzeovJC7

Based on recent OHBM course. 10mins per topic!

[Ji Chen @jchen_ML_Psy]

Happy to be involved in this nice and exciting work!

[Simon Eickhoff @INM7_ISN]

Excited to share our new preprint led by @DeboDong:

Cross-validated PLS yielded 4 robust dimensions that link cerebellar connectivity gradients trans-diagnostically to distinct clusters of behavioral scores (clinical, cognitive, personality)

https://t.co/yCeB8asLpN

[The Lancet @TheLancet]

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 https://t.co/Cy9odHv5eF

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[CURE.Lille @CureLille]

Thx @INM7_ISN !
An amazing & important tool for #Schizophrenia research.
Wonderful collaboration @MHASC1 @CognitionLille
Read the #OA paper here: https://t.co/44EEtwxsDw

[Simon Eickhoff @INM7_ISN]

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: https://t.co/zrqlpiIJ4z

[Sara Lariviere @saratheriver]

New preprint! 👇

We related connectome architecture to patterns of atrophy in the common epilepsies and identified syndrome-specific disease epicenters 📌

Our @enigmabrains analysis pooled data across 19 international sites and included 1,021 patients and 1,564 controls 🌎🌏🌍