neuroscience | physiology | resting state fMRI
Singapore
Joined September 2010
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Csaba Orban retweeted
Nature research paper: Functional architecture of the human insula
go.nature.com/47R8mm9
Csaba Orban retweeted
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
Csaba Orban retweeted
🧠Hypertension changes how brain blood vessels sense mechanical forces. Overactive Piezo1 disrupts cerebral blood flow and cognition, while Piezo1 inhibition reverses these deficits in mice. ahajournals.org/doi/10.1161/… @CircRes
🤖 Made with AI
Csaba Orban retweeted
Limitations of pupil diameter as a proxy for modes of locus coeruleus activity: elifesciences.org/reviewed-p…
"baseline-evoked relationships of the pupil are not predictive of those in the LC, and vice versa."
Csaba Orban retweeted
Everyone knows the mitochondria is the "powerhouse of the cell." But have you seen how beautifully its movement was captured by Dr. Patrick C. Hickey in this 5th place #SmallWorldInMotion winning video? 🏆 Now you have!
bit.ly/3TgEWKn
Csaba Orban retweeted
The first human resting-state & task-based ultra-high-field fMRI study at 11.7 T!
(Obriot et al., 2026, direct.mit.edu/imag/article/…)
"This work paves the way for human #fMRI neuroscience studies at 11.7 T ..."
(11.7 T: roughly 234,000 times stronger than Earth's magnetic field)
Csaba Orban retweeted
🧵 Struggling to replicate a proteomics biomarker study? Our new preprint quantifies one common cause: data leakage.
With NO true signal, some runs with data leakage still reached AUCs near 0.8.
w/ @_JakeVogel_, Caitlin Finney, Artur Shvetcov & @_neuroproteome
Csaba Orban retweeted
Very excited to announce our new work on CSF in the brain! It has been previously thought that the CSF was one large homogeneous pool, and our work shows that there may be compartmentalization. Thank you to all the co-authors!
Paper: nature.com/articles/s41467-0…
Csaba Orban retweeted
Our new paper in @Nature is now out.
Psychedelics don’t simply disorder the brain. Using fMRI, EEG and AI in 62 psychedelic-naive adults, we found hidden, context-sensitive organisation beneath the apparent chaos -- strongest in people reporting more positive, profound experiences and a reduced sense of separation from the world.
The paper: nature.com/articles/s41586-0…
Huge congratulations to @dpsyc42 who led from the front, @novelli_leo and @MKhajehnejad were exceptional in performing highly sophisticated and complex data analyses and thanks the whole @ConnectPsi team and collaborators.
Our explainer: theconversation.com/new-rese…
Data descriptor: nature.com/articles/s41597-0…
ML model (TAVRNN): nature.com/articles/s42003-0…
Fully open-access dataset: openneuro.org/datasets/ds006…
Code for processing and cleaning data: github.com/razilab/psiconnec…
@matthewdgreaves Tmarin Barta, @ManaBiabani, @SidChop, @anilkseth, @RCarhartHarris, @FredBarrettPhD, @KatrinPreller, @gary_egan
@turnerinstitute @MonashPsych, @Monash_FMNHS, @MonashUni @CIFAR_News
Csaba Orban retweeted
For treatment resistant major depression disorder, a small randomized trial showed benefit of psilocybin (single 25 mg dose) compared with placebo
nature.com/articles/s41591-0…
Csaba Orban retweeted
Our latest out now in @NatureNeuro led by @TrangCao2016 looking at the reproducibility of MRI morphometry phenotypes in psychiatric disorders.
We quantify the reproducibility of grey matter volume and cortical thickness differences in Schizophrenia, Depression, Bipolar Disorder, Autism, and Alzheimer's Disease.
AD findings are reproducible; results for the other disorders are not.
Bootstrapping suggests increased sample sizes can help for schizophrenia, but very large (i.e, N>1k) samples may be needed for other disorders.
Our findings are consistent with a low SNR disease phenotype.
Peep the thread and link for more details!
This work is out at @NatureNeuro. Thanks to the amazing team @AFornito @NSB_Lab @jchrispang @m_gajwani @AshleaSegal @DrAlexHolmes J Wiley @SidChop @HelenJuanZhou CChen FJi BHarrison @cgdavey @constable_toby @JegTiego BHartshorn JKwee @BellgroveMark
Csaba Orban retweeted
Sensing your body (‘Interoception’) is everywhere in theories of mental health.
But when we tested how well hundreds of people sensed their heart and lungs, the link to symptoms was almost nowhere to be found. 💣
🚨New @NatMentHealth paper 🚨🎉 asks why 🧵
nature.com/articles/s44220-0…
Csaba Orban retweeted
The heart has a mysterious and complex nervous system of its own. Scientists are starting to reveal its secrets
go.nature.com/4vEZnO7
Csaba Orban retweeted
Function is not tied to specific brain structures or time scales. The brain is not just a set of parts that each “do their own job”. Instead, networks are multifunctional and active across different speeds simultaneously.
doi.org/10.1073/pnas.2535464…
#neuroscience
Csaba Orban retweeted
What mechanisms shape the intricate wiring of the cortex (i.e., its connectome)?
Check out our new paper out in Cell showing how geometry constrains connectome architecture:
cell.com/cell/fulltext/S0092…
Csaba Orban retweeted
My friend the brilliant @kevin_volpp dropped dead
He survived (read abt it: tinyurl.com/ypcpdzpz)
But every year 300-400,000 in the US don't
This week: our @nature article (+A.Schubert J.Ross @m_sendhil M.Lingman) applies AI to this medical mystery
nature.com/articles/s41586-0…
Csaba Orban retweeted
Happy to share that our paper on objective quality assessment for "precision" fMRI is now out in @NeuroCellPress .
A recap of what it does, what's new since the preprint, and code you can run on your own data.
cell.com/neuron/fulltext/S08…
Csaba Orban retweeted
Our first Impact Factor is 3.0 — an important milestone for a new journal.
As with most new journals, the first IF is affected by the smaller publication volume in the launch year. Latest citation data are encouraging, and the journal’s IF is set to rise in 2027.
Csaba Orban retweeted
For those at @OHBM @OHBM_Trainees come check out our poster on using deep learning to accelerate biophysical model fitting & resulting insights into lifespan changes in E/I ratio!
Poster number 2304
Wed, June 17 | 13:45-14:45
Thurs, June 18 | 14:45-15:45
Updated preprint: doi.org/10.1101/2025.04.07.6…
We have improved DELSSOME and showed that we can accelerate the estimation of two new biophysical models. By collating 12,005 individuals, we derive normative trajectories of cortical E/I ratio across the lifespan ...