Xi-Han Zhang
@XihanZhang1
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PhD student @YalePsychology | @HarvardChanSPH‘19 | @OUC1924 ‘17 computational biology, neuroscience, affective dynamics, mechanisms of change
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Joined September 2020
Excited to share my work revealing that functional organization of human cortex is reflected in the spatial variability of different cell types. w/@AvramHolmes @KevinMAnder Hao-Ming Dong @SidChop @elvisha9 Prashant Emani @MarkGerstein @DanielMargulies! https://t.co/BudtvYgNCz
nature.com
Nature Neuroscience - Here Zhang et al. establish multiscale relationships that link postmortem cell-type distributions with the in vivo functional organization of the human cerebral cortex, as...
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Latest @HolmesLab_BHI preprint! Here, integrating genetic 🧬, post-mortem, and diffusion MRI 🧠 data, @ChinERowena examines the heritability and cellular associates of late-life decline in white matter integrity. Check it out!
biorxiv.org
The microstructural architecture of white matter supporting information flow across local circuits and large-scale networks changes throughout the lifespan. However, the genetic and cellular factors...
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Excited to share this new work - especially grateful to collaborators @XihanZhang1 @KevinMAnder @nastasiayendiki !
Latest @HolmesLab_BHI preprint! Here, integrating genetic 🧬, post-mortem, and diffusion MRI 🧠 data, @ChinERowena examines the heritability and cellular associates of late-life decline in white matter integrity. Check it out!
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I will give a virtual talk at MGH (Center for Precision Psychiatry Seminar Series) on our recent NBME paper to discuss cross-disease heterogeneity and overlap using AI and imaging genetics: https://t.co/t1svQp43fc. Registration link is here: https://t.co/6VB3kiHMXS
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I love this sentence from a Nature paper: “Overall, all six modules exhibited distinct activity patterns along psudotime but comparable patterns across trajectories.” The take-home point: there are differences and similarities. Bravo, feels like learned a lot 😆
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Scientists identify distinct brain patterns linked to mental health symptoms
psypost.org
A new study finds that brain connectivity patterns can predict different types of mental health symptoms, with distinct features linked to internalizing and externalizing behaviors across development.
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New paper by Lydia Qu @laurant_lydia et. al out now in Nature @NatMentHealth 📰 Here, we show that predictive network features are distinct across internalizing and externalizing traits/behaviors. With @carrisa_cocuzza,@bttyeo,@elvisha9, and more 🌟 https://t.co/YzuoTCq4Ln
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Holmes Lab newest paper from @OrchardWinnie highlighted in @nypost about the impacts of parenthood on the brain. 🤰👨👩👧🧠 Read the full paper here:
pnas.org
The experience of human parenthood is near ubiquitous and can profoundly alter one’s body, mind, and environment. However, we know very little abou...
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We are thrilled that Holmes lab recent paper by @XihanZhang1 et al. has been featured on the cover of @_TheTransmitter! Check out the paper here: https://t.co/nXaf11Eg5K And the article 🖇️ 🧬
thetransmitter.org
These networks align with different assemblages of cells, a finding that could reveal how cellular diversity influences brain function, according to a new study.
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Our latest out now in @BiologicalPsyc1 , a collab led by R Petrican, w/ @SidChop and C Murgatroyd looking at how physiological aging relates to psychiatric risk and brain changes in males and females: https://t.co/8xmdqEYBmt
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Mapping neuropeptide signaling in the human brain | https://t.co/ciazq7op2Z Neuropeptides are among the functionally diverse signaling molecules in the brain and body. We curate an atlas of neuropeptide receptors and relate it brain function 🧩🧠⤵️
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I am absolutely stoked to share our new study on multiscale neural dynamics across species and behaviour + network simulations exploring their benefits! The best lab going around! Captained by THE @jmacshine 🙌
Now online! Multiscale organization of neuronal activity unifies scale-dependent theories of brain function
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“A simulated annealing algorithm for randomizing weighted networks” | https://t.co/z5BJ6QSlGY How do we randomize brain connectomes (and other networks) with biological edge weights? @NatComputSci ⤵️
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Just published🔈 "Structurally informed models of directed brain connectivity" Read: https://t.co/8Ry7Uf4CQf We review how structural connectivity constrains directed connectivity models 🧠 Lead by @matthewdgreaves w/ @novelli_leo, @Sina_Mansour_L and @AndrewZalesky
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Multimodal data from 98 individuals: neuroimaging, genetics, dendritic spine morphometry, proteomics, and gene expression; identifies 100s of proteins that explain individual differences in MRI measures @HerskowitzLab
https://t.co/JW0xxRnhxT
nature.com
Nature Neuroscience - Integration of postmortem molecular and dendritic spine morphological measurements enables the detection of microscale molecules associated with person-to-person variability...
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@AvramHolmes @KevinMAnder @SidChop @elvisha9 @MarkGerstein @DanielMargulies @AllenInstitute @bogglerapture @KonradWagstyl Behind the scenes: I have only been in the silent meditation retreat three times in my life, but each time hearing back from the journal was during one of these retreats. Finally, this three-year project has turned into my first first-author paper. So much appreciation to amazing
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@AvramHolmes @KevinMAnder @SidChop @elvisha9 @MarkGerstein @DanielMargulies @AllenInstitute 7/7 Wondering what this means for the field? Review article by @bogglerapture and @KonradWagstyl discusses how my paper adds to converging evidence for the organization of the cortex along the sensory-association axis. https://t.co/VcjW1JQiyJ
nature.com
Nature Neuroscience - The cerebral cortex shows complex organization across diverse biological scales, from regional chemical and cellular specializations to macroscale functional networks. Zhang...
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@AvramHolmes @KevinMAnder @SidChop @elvisha9 @MarkGerstein @DanielMargulies @AllenInstitute 6/7 Consistent with these patterns, functional network assignment can be predicted by cell-type abundances in post-mortem tissue. Besides unimodal somato/motor, visual, and transmodal limbic networks, ventral attention/salient network can be well-predicted. Default,
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@AvramHolmes @KevinMAnder @SidChop @elvisha9 @MarkGerstein @DanielMargulies @AllenInstitute 5/7: Large-scale networks possess distinct cellular profiles, hinting at computing motifs for specialized functions. For example, dorsal attention network is enriched by layer 2/3 and layer 5 ITs, whereas ventral attention/salient network is enriched by layer 6 neurons.
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