The Holmes Lab works to understand the genetic and brain bases of individual differences in network organization across psychiatric illness.
📍Rutgers, Center for Advanced Human Brain Imaging Research
holmeslab.rutgers.edu
Holmes Lab
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Holmes Lab + Parkes Lab had a great fall social a few weeks back!! Pottery painting (including an awesome brain-art mug by @ambrains.bsky.social 🧠). Thank you to our awesome mentors @avramholmes.bsky.social and @lindenmp.bsky.social for encouraging these great lab events! 💫
Nature research paper: Longer scans boost prediction and cut costs in brain-wide association studies
go.nature.com/3IME4aA
This new Yeo Lab tool should immediately and permanently replace sample-size-only power calculations for functional MRI.
www.nature.com/articles/s41...
Holmes Lab
Nature
Great write up of the @nature.com study on MRI economics by @bttyeo.bsky.social's research group!
With @avramholmes.bsky.social @sidchop.bsky.social @carrisacocuzza.bsky.social
The Holmes Lab is #hiring a full-time research assistant/predoc! Our work focuses on functional brain networks-- how they change, how they are impacted in psychiatric illness, and much more!
Please rt and reach out if you’re interested 👀
Find out more holmeslab.rutgers.edu
Looking for a post-bac RA position focused on the brain bases of affective and psychotic illness?
@holmeslab-bhi.bsky.social is hiring!
@cahbir.bsky.social @rutgersbhi.bsky.social @rutgersu.bsky.social @sobp-org.bsky.social @hitop-system.bsky.social @ohbmofficial.bsky.social
Holmes Lab
Latest
@holmeslab-bhi.bsky.social
preprint. Here, integrating genetic, post-mortem, and diffusion MRI data, Rowena Chin examines the heritability and cellular associates of late-life decline in white matter integrity.
@cahbir.bsky.social @rutgersbhi.bsky.social
www.biorxiv.org/content/10.1...
Holmes Lab
The @cahbir.bsky.social and @rutgersbhi.bsky.social are hiring! Multiple open area and open rank faculty jobs, wonderful colleagues, amazing resources, and one of the largest communities of brain science research groups on the planet. Please apply and share widely.
jobs.rutgers.edu/postings/209...
🚨Thrilled to share our latest work just published in @nature.com where we looked into the optimal fMRI scan time for brain-wide association studies (BWAS) 🧠⏱️! Full thread below👇:
Everyone should try out the Trandiagnostic Connectome Project (TCP) dataset! Openly available on @openneuro.bsky.social
Avram Holmes
Avram Holmes
Avram Holmes
Nico Dosenbach
Although the number of participants is important for phenotypic prediction accuracy in brain-wide association studies using functional MRI, scanning for at least 30 min offers the greatest cost effectiveness.
Although the number of participants is important for phenotypic prediction accuracy in brain-wide association studies using functional MRI, scanning for at least 30 min offers the greatest cost effect...
www.nature.com
When powering fMRI studies, sample size is king, but scan duration can also be a powerful tool, improving phenotypic prediction and cost-efficiency, a new analysis shows
By @claudia-lopez.bsky.social
#neuroskyence
www.thetransmitter.org/fmri/longer-...
Around 30 minutes of imaging per person seems to be the “sweet spot” for linking functional connectivity differences to traits in an accurate and cost-effective way.
www.thetransmitter.org
The Center for Advanced Human Brain Imaging Research (CAHBIR), a component of the Rutgers Brain Health Institute (BHI) on the Busch campus in Piscataway, NJ, is recruiting for two open rank (Assistant...
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 u...
8/ In contrast to standard power calculations, our results suggest that jointly optimizing sample size and scan time can boost prediction accuracy while cutting costs. For more complex study design, you can check out our calculator: thomasyeolab.github.io/OptimalScanT...
The Transmitter
Thomas Yeo
1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social
AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...
doi.org/10.1038/s415...
Thomas Yeo
V useful paper by @bttyeo.bsky.social @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social in @nature.com. Scan longer if you want to predict behav using fMRI and save $.
Great use of the TCP data: (pmc.ncbi.nlm.nih.gov/articles/PMC...).
1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social
AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...
doi.org/10.1038/s415...
