Meichen Yu
@meichen_yu
Assistant professor at Indiana Alzheimer’s Disease Research Center. Brain network analysis using fMRI, MEG and EEG in Alzheimer’s disease.
ID: 2659003274
19-07-2014 08:38:24
569 Tweet
278 Followers
406 Following
🔥Years in the making, now published! My final postdoc project in Nature Communications shows that Tau and TSPO PET follow gradients🌈 of connectivity in #Alzheimer disease 🧠 nature.com/articles/s4146… Thanks to Alzheimer's Association Sunnybrook Health Sciences Centre McGill Research Centre for Studies in Aging Now ready for new adventures!🌍☺️
📢OPEN PHD POSITION 📢 Looking for a PhD and interested in neuromodulation? Then come work with me, Petra Ritter and the Retune – CRC TRR 295 community on modeling deep brain stimulation from a network-science perspective 😊 Please retweet! Brain Simulation Section Charité - Universitätsmedizin Berlin Charité BIH Innovation
🍄 Psilocybin & escitalopram create different reconfigurations in the global functional hierarchy of 🧠 brain dynamics in people with major depressive disorder 👇 @HedoniaResearch Robin Carhart-Harris Yonatan Sanz Perl nature.com/articles/s4422…
Integrating brainstem and cortical functional architectures | nature.com/articles/s4159… led by Justine Hansen in Nature Neuroscience 400 cortical regions + 58 brainstem nuclei. Lesgo 🤘🕶️⤵️
First paper describing the Franco-German 11.7T Iseult scanner out in Nature Methods. While the image comparison figure is certainly a strawman (I’ve seen much better images acquired at 3 and 7T), this is still a fascinating technical advance: nature.com/articles/s4159…
Linking post-mortem cell-type distributions with the in vivo functional organization of the human cerebral cortex, as assessed through fMRI Xi-Han Zhang @AvramHolmes Kevin Anderson Sidhant Chopra Elvisha Dhamala Mark Gerstein Daniel Margulies Holmes Lab nature.com/articles/s4159…
After 5 years of data collection (179 first-time mothers + controls), and 2 years of data analyses and article writing, the first BeMother (BabyBrain) paper is out! We uncovered a U-shaped trajectory in maternal GM volume, resolving a long-standing puzzle in the maternal brain field.
So excited to share that DeepPrep is now online in Nature Methods! 🚀 It’s 10× faster than the SOTA pipeline and more robust in handling clinical cases. We’ve just released v25.1.0 with a concise GUI and support for both Win and Linux. Give it a try! 📷 shorturl.at/0pB4H