Holmes Lab (@holmeslab_bhi) 's Twitter Profile
Holmes Lab

@holmeslab_bhi

The Holmes Lab works on the genetic and brain bases of individual differences in network organization across psychiatric illness.
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ID: 1174426845107949568

linkhttp://holmeslab.rutgers.edu calendar_today18-09-2019 20:56:03

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Holmes Lab (@holmeslab_bhi) 's Twitter Profile Photo

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 (@holmeslab_bhi) 's Twitter Profile Photo

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

PNASNews (@pnasnews) 's Twitter Profile Photo

Raising children protects the brain against aging, according to an analysis of @UK_Biobank data. As benefits were observed in men and women, they are likely caused by the mental workout of caregiving, rather than pregnancy. In PNAS: ow.ly/FkJC50VbVCg

Raising children protects the brain against aging, according to an analysis of @UK_Biobank data. As benefits were observed in men and women, they are likely caused by the mental workout of caregiving, rather than pregnancy. In PNAS: ow.ly/FkJC50VbVCg
Thomas Yeo (@bttyeo) 's Twitter Profile Photo

While the world burns, we cook up a new preprint! doi.org/10.1101/2025.0… Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike deep neural nets), but the dirty secret ... 1/N

While the world burns, we cook up a new preprint! doi.org/10.1101/2025.0…

Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike deep neural nets), but the dirty secret ... 1/N
Thomas Yeo (@bttyeo) 's Twitter Profile Photo

1/11 Excited to share our @Naturestudy led by Leon Ooi Csaba Orban Shaoshi Zhang doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...

1/11 Excited to share our @Naturestudy led by <a href="/Leon_Oo1/">Leon Ooi</a> <a href="/csabaorban/">Csaba Orban</a> <a href="/ZShaoshi/">Shaoshi Zhang</a>

doi.org/10.1038/s41586…

It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...
Sidhant Chopra (@sidchop) 's Twitter Profile Photo

V useful paper by Thomas Yeo Leon Ooi & Csaba Orban out in nature. Scan for longer if you want to predict behaviour using fMRI and save $. Check out their calculator: thomasyeolab.github.io/OptimalScanTim…. Also another great use of our TCP data set (pmc.ncbi.nlm.nih.gov/articles/PMC11…).

Shaoshi Zhang (@zshaoshi) 's Twitter Profile Photo

Thrilled to share our latest work just published in nature where we looked into the optimal fMRI scan time for brain-wide association studies (BWAS)! Full thread below 👇