Ji Chen

34 posts

Ji Chen

Ji Chen

@jchen_ML_Psy

Assistant professor @ZJU_China | PhD @fzj_inm7 | machine learning | computational psychiatry | neuroimage| https://t.co/MtFduzMclh

Hanzhou, Zhejiang Katılım Eylül 2019
50 Takip Edilen82 Takipçiler
Ji Chen
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.

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Dr. Charles Noplis
Dr. Charles Noplis@DrCharlesNoplis·
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry - BMC Medicine - BMC Medicine dlvr.it/Src9wy
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Thomas Yeo
Thomas Yeo@bttyeo·
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...
Thomas Yeo@bttyeo

1/5 Our new preprint doi.org/10.1101/2020.0… uses meta-learning to boost functional connectivity based prediction of *NEW* phenotypes in small samples. We achieve 100%-400% improvements in many scenarios! @hetong93 @AvramHolmes @anlijuncn @danilobzdok @AvramHolmes @INM7_ISN

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Chinese Computational Psychiatry Network (CCPN)
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.
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Alessandro Gozzi
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🧠🐭 ➡️tinyurl.com/y2yfj74o By @MarcoPagani1985 @mvlombardo & al. Thread 1/n
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Wei Cheng
Wei Cheng@WeiFDU·
Our new work is out! We found severe prolonged nausea and vomiting in pregnancy was significantly associated with emotional and psychiatric problems, reduced global cognitive performance and low cortical volume in the children. Hoping these findings will help pregnant mothers.
BMC Medicine@BMCMedicine

New #OpenAccess research showing that severe nausea and #vomiting during #pregnancy is strongly associated with #cognitive problems in #children. Read it here: bmcmedicine.biomedcentral.com/articles/10.11…

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The Lancet
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 hubs.ly/H0qMrl-0 Thread (1/3)
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CURE.Lille
CURE.Lille@CureLille·
Thx @INM7_ISN ! An amazing & important tool for #Schizophrenia research. Wonderful collaboration @MHASC1 @CognitionLille Read the #OA paper here: sciencedirect.com/science/articl…
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: webtools.inm7.de/sczDCTS/

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Simon Eickhoff
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: webtools.inm7.de/sczDCTS/
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Sara Lariviere
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 🌎🌏🌍
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bioRxiv Neuroscience@biorxiv_neursci

Network-based atrophy modelling in the common epilepsies: a worldwide ENIGMA study biorxiv.org/cgi/content/sh… #biorxiv_neursci

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Keşfet

@dr_rick_adams @INM7_ISN @bttyeo @PTenigma @sofievalk @enigmabrains @njahanshad @Harvey_Bi2333