Qinghao Liang
@liang_qinghao
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PhD student @Yale @YaleBme, BS of Physics @USTC
New Haven, CT
Joined September 2018
Excited to share that our paper "Data leakage inflates prediction performance in connectome-based machine learning models" is now out in @NatureComms
https://t.co/ZCwD2TGuqu (with @LinkTejavibulya, @925452096Andy, @sNeuroble, and @DScheinost )
nature.com
Nature Communications - The effects of data leakage on predictive models in neuroimaging studies are not well understood. Here, the authors show that data leakage via feature selection and repeated...
Ever wondered how data leakage can affect neuroimaging (specifically functional/structural connectivity) predictive models? Check out our new preprint⬇️ https://t.co/hjC4ncR1yt
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New paper in Imaging Neuroscience by Qinghao Liang, Dustin Scheinost, et al: Rescuing missing data in connectome-based predictive modeling https://t.co/NRteWwPLCg
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🧠 Excited to share our latest research in @ImagingNeurosci ! 🎓 "Rescuing Missing Data in Connectome-Based Predictive Modeling" 📈 Strategic imputation of missing data can significantly enhance prediction performance in brain-phenotype studies. 🔗 https://t.co/ligUgkarx5
direct.mit.edu
Abstract. Recent evidence suggests brain-phenotype predictions may require very large sample sizes. However, as the sample size increases, missing data also increase. Conventional methods, like...
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Curious about how liver fibrosis affects cognitive functioning and brain structure? Check out our new paper published in @eBioMedicine, showing the liver-brain axis and highlighting the mediating effect of systemic inflammation. https://t.co/kzRK71q0Wj
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A bit late in posting this … Now out (and on the cover!) of the June issue of AJP: “Transdiagnostic Connectome-Based Prediction of Craving“ Using task-based functional connectomes, we predicted self-reported cravings in 274 individuals with CPM. https://t.co/h1wovxAOl9
psychiatryonline.org
Objective:Craving is a central construct in the study of motivation and human behavior and is also a clinical symptom of substance and non-substance-related addictive disorders. Thus, craving...
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In new work out in Medical Image Analysis, we present CAROT: Cross Atlas Remapping via Optimal Transport. CAROT touches on some of the vibrant areas of functional MRI, predictive modeling, neuroimaging, & connectomics including privacy & open science 1/16 https://t.co/mVhmCZarfB
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@925452096Andy’s talk on physical frailty, mental health, and brain structure at 2:15 PM Friday. We show links between frailty and >300 health, outcomes, especially mental health ones, which is mediated by brain structure Full paper @LancetDigitalH:
thelancet.com
Physical frailty is associated with diverse unfavourable health-related outcomes, which can be mediated by differences in brain structure. Our findings offer a framework for guiding preventative...
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Use machine learning in🧠research or for other high-dimensional data? Curious about its robustness to data manipulations ("trustworthiness")? Check out our new article in @Patterns_CP and thread ⬇️
cell.com
Imperceptible data manipulations can drastically increase or decrease performance in machine learning models that use high-dimensional neuroimaging data. These manipulations could achieve nearly any...
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Do you do: 👶 fetal/infant/toddler (FIT) neuroimaging? 💻 machine learning? Want to do both? If so, we’re excited to announce a new primer and review on FIT-specific machine learning —a reflection on 100+ studies from the past decade https://t.co/uVAMP1v3vL 1/5
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Have you wondered how predictive ML modelling has been used in the #FIT research? Freshly published work by @DScheinost et al. summarizes the existing studies and outlines the methodological & ethical considerations! #MachineLearning #fitng
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Neuro friends, How much do you cite yourself? We looked at 150k articles and 8 million citations from 63 journals between 2000-2020 to find out! https://t.co/8UvW8N9Dyv 1/9
biorxiv.org
Citation metrics influence academic reputation and career trajectories. Recent works have highlighted flaws in citation practices in the neurosciences, such as the under-citation of women. However,...
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With the conclusion of our 4th workshop on "GRaphs in biomedicAl Image anaLysis (#GRAIL2022)", we would like to congratulate Qinghao Liang et al. for winning the Best Paper Award. The authors will receive a GeForce RTX 3080 Ti, sponsored by @nvidia.
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Excited to share our latest work investigating associations between grip strength, mental health, and brain structure. Thanks to all excellent coauthors @maggieeastfire @sNeuroble @RosenblattMatt @WeiDai1 @kittysj @vdcalhoun @DScheinost
bmcmedicine.biomedcentral.com
Background Grip strength is a widely used and well-validated measure of overall health that is increasingly understood to index risk for psychiatric illness and neurodegeneration in older adults....
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Are you in a neuroscience-related field? We are seeking online survey participants for the study: “Opinions on self-citation rates in neuroscience research”. It will only take about 10 mins if you are interested in participating:
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Excited to share our latest work in Cardiovascular Research which predicted individual differences in blood pressure from whole-brain functional connectivity using machine learning. @DScheinost @kittysj @vdcalhoun @sNeuroble @liang_qinghao
https://t.co/XVRRDo4eDr
academic.oup.com
AbstractAims. Elevated blood pressure (BP) is a prevalent modifiable risk factor for cardiovascular diseases and contributes to cognitive decline in late l
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The faculty in @YaleCellBio and @YaleSCC strongly support our colleague Haifan Lin and his entire research group in the wake of his administrative suspension by @Yale, a step taken without any formal charges or due process. See our statement 👇👇
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Starting to plan your 2022 calendar? Don't forget to add our next two FIT'NG Together events! First a WIP Session on Jan. 25, and then a paper discussion on Feb. 22 featuring Dr. Tomoki Arichi. Register now! Jan 25: https://t.co/0OOURBmtA1 Feb. 22: https://t.co/bpAI8GaM2K
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FIT'NG Trainees! Do you have an analysis, talk, or project in-progress? Would you like to get feedback from experts and trainees across FIT'NG? Sign up to present a Work in Progress at an upcoming FIT'NG Together Event. FIT neuroimaging topics only pls! https://t.co/O2JDNXfX63
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Functional Connectivity for the Language Network in the Developing Brain: 30 Weeks of Gestation to 30 Months of Age https://t.co/jPtsuc5Uij TLDR: We used fetal, infant, and toddler fMRI to look at longitudinal changes in functional connectivity for Broca’s and Wernicke’s areas.
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