
Xi-Han Zhang
@xihanzhang1
PhD student @YalePsychology | @HarvardChanSPH‘19 | @OUC1924 ‘17 computational biology, neuroscience, affective dynamics, mechanisms of change
ID: 1301684785232982019
04-09-2020 00:53:49
341 Tweet
392 Followers
500 Following




“A simulated annealing algorithm for randomizing weighted networks” | nature.com/articles/s4358… How do we randomize brain connectomes (and other networks) with biological edge weights? Nature Computational Science ⤵️


Just published🔈 "Structurally informed models of directed brain connectivity" Read: rdcu.be/d3dC4 We review how structural connectivity constrains directed connectivity models 🧠 Lead by Matthew Greaves w/ Leonardo Novelli, Sina Mansour L. and Andrew Zalesky


Our latest out now in Biological Psychiatry , a collab led by R Petrican, w/ Sidhant Chopra and C Murgatroyd looking at how physiological aging relates to psychiatric risk and brain changes in males and females: linkinghub.elsevier.com/retrieve/pii/S…



New paper by Lydia Qu Yueyue Lydia Qu (lydiaquq.bsky.social) et. al out now in Nature Nature Mental Health 📰 Here, we show that predictive network features are distinct across internalizing and externalizing traits/behaviors. With Carrisa V Cocuzza, PhD (she/her),Thomas Yeo,Elvisha Dhamala, and more 🌟 shorturl.at/67TH1

We are thrilled that Holmes lab recent paper by Xi-Han Zhang et al. has been featured on the cover of The Transmitter! Check out the paper here: tinyurl.com/cellnetworks And the article 🖇️ 🧬 thetransmitter.org/neuroanatomy/c…

Holmes Lab newest paper from Winnie Orchard highlighted in New York Post about the impacts of parenthood on the brain. 🤰👨👩👧🧠 Read the full paper here: tinyurl.com/parentalbrain
