📍Rutgers, Center for Advanced Human Brain Imaging Research
holmeslab.rutgers.edu
@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
@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
Please rt and reach out if you’re interested 👀
Find out more holmeslab.rutgers.edu
Please rt and reach out if you’re interested 👀
Find out more holmeslab.rutgers.edu
jobs.rutgers.edu/postings/209...
jobs.rutgers.edu/postings/209...
@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...
@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...
With @avramholmes.bsky.social @sidchop.bsky.social @carrisacocuzza.bsky.social
By @claudia-lopez.bsky.social
#neuroskyence
www.thetransmitter.org/fmri/longer-...
With @avramholmes.bsky.social @sidchop.bsky.social @carrisacocuzza.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...
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Great use of the TCP data: (pmc.ncbi.nlm.nih.gov/articles/PMC...).
go.nature.com/3IME4aA
go.nature.com/3IME4aA
@loiclabache.bsky.social presented in the Language: Anatomy, Networks and Pathology section with his paper on "The molecular and cellular underpinnings of human brain lateralization" 🧠
@loiclabache.bsky.social presented in the Language: Anatomy, Networks and Pathology section with his paper on "The molecular and cellular underpinnings of human brain lateralization" 🧠
www.nature.com/articles/s41...
🧵1👇
By @bttyeo.bsky.social @lucinauddin.bsky.social @avramholmes.bsky.social @elvisha.bsky.social & colleagues
🧪🧠
www.biorxiv.org/content/10.1...
By @bttyeo.bsky.social @lucinauddin.bsky.social @avramholmes.bsky.social @elvisha.bsky.social & colleagues
🧪🧠
www.biorxiv.org/content/10.1...
Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease: www.biorxiv.org/content/10.1...
Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease: www.biorxiv.org/content/10.1...
OpenNeuro: openneuro.org/datasets/ds0...
NDA: nda.nih.gov/study.html?i...
www.nature.com/articles/s41...
🧵1👇
OpenNeuro: openneuro.org/datasets/ds0...
NDA: nda.nih.gov/study.html?i...
www.nature.com/articles/s41...
🧵1👇
www.nature.com/articles/s41...
🧵1👇
www.nature.com/articles/s41...
🧵1👇
www.biorxiv.org/content/10.1...
Using a transdiagnostic framework, we found that brain network dynamics were able to discriminate individualized psychiatric symptom profiles with high accuracy 🧵1/9👇
+ using our new open dataset the Transdiagnostic Connectome Project (TCP) 🔛 openneuro.org/datasets/ds0...
+ using our new open dataset the Transdiagnostic Connectome Project (TCP) 🔛 openneuro.org/datasets/ds0...
With @lindenmp.bsky.social @avramholmes.bsky.social @carrisacocuzza.bsky.social @ahmadbeyh.bsky.social @loiclabache.bsky.social (+ Amber Howell & Rachel Cooper)
With @lindenmp.bsky.social @avramholmes.bsky.social @carrisacocuzza.bsky.social @ahmadbeyh.bsky.social @loiclabache.bsky.social (+ Amber Howell & Rachel Cooper)
go.rutgers.edu/mri-tech
Check this 🧵 for a summary 🔥
www.biorxiv.org/content/10.1...
Check this 🧵 for a summary 🔥
www.biorxiv.org/content/10.1...
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
🔗 doi.org/10.1101/2025...
🧠 We identify an acetylcholine-norepinephrine axis underlying functional lateralization, along with mitochondrial and cellular correlates. 🧵1/9👇
#neuroskyence