I try to collect talks, papers, and news regarding layer-fMRI. With focus on MRI acquisition at high resolution.
USA
Joined December 2016
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layerfMRI retweeted
Last chance to apply for the 2026 In Vivo Magnetic Resonance Gordon Research Conference! Deadline June 14. grc.org/in-vivo-magnetic-res… Join us July 12–17, NH, USA for frontier science, discussion and a friendly community. Theme: Advancing Beyond Limits.
layerfMRI retweeted
Join the Connectome 2.0 Dissemination Workshop on June 3, 2026, 9 AM-4 PM EST at the MGH Martinos Center. Learn about ultra-high gradient MRI, diffusion MRI, connectivity, and microstructural imaging using the Connectome 2.0 scanner. Program details: connectome2.martinos.org/202…
layerfMRI retweeted
My first PhD project has finally taken shape and is now available as a preprint after 3 years! We found a feedback signature in V1 during Troxler perceptual filling-in using 7T layer-fMRI. Please check it out ;))
doi.org/10.64898/2026.04.17.…
layerfMRI retweeted
If you are setting up the meso-veins protocol for the first time at your 7T (doi.org/10.1126/sciadv.aea45…), you should wath this video where I am providing the most up to date pointers. As well as the tips on quality controlling your images: youtu.be/57URvSjUYRY
layerfMRI retweeted
New LayNii v2.10.0 is out!
github.com/layerfMRI/LayNii/…
🚀 LN2_FRISGO: This program mitigates the Fuzzy Ripple artifacts in dual polarity 3D-EPI fMRI data.
💾 Big data ready: Now handling >5GB NIFTIs to support the mesoscopic shift toward high-res, whole-brain images.
@layerfMRI
layerfMRI retweeted
In a satirical commentary, @ofgulban examines the widening gap between traditional publication norms and emerging channels of science communication: doi.org/10.52294/001c.147146
@OHBM
#FutureofPublishing #SpecialIssue
layerfMRI retweeted
Happy to share that our new preprint is now available!
Digging into our previous dataset, we found a feedforward signature in FFA during passive face image presentations, suggesting face information is structured prior to FFA.
Please find more details in the manuscript 😁
Feedforward representation of face information in the fusiform face area revealed by VASO 7T layer fMRI biorxiv.org/content/10.1101/… #biorxiv_neursci
layerfMRI retweeted
Glad to share our new paper in Nature Cardiovascular Research rdcu.be/eH9CJ introducing a new method for mapping microvascular pulsatility using high resolution VASO and ASL MRI at 7T @layerfMRI
🚨 New discovery 🚨
Our @loft_lab developed a noninvasive brain-imaging method that reveals hidden microvascular pulsations in aging brains, which may offer earlier clues into dementia and Alzheimer’s risk.
Read the press release here: bit.ly/3KpUR46
layerfMRI retweeted
I’m proud to share that on July 3rd, I defended my PhD thesis: "Distinct and complementary: insights on bistable perception in humans using ultra-high field MRI across multiple spatial scales."
The defense stream is here: youtube.com/live/J7wmn5sNRaU
Excited for what’s next!🧠🧲🥳
layerfMRI retweeted
You can now check out our exciting work 🤩
Such a nostalgic work, it was my first ever opportunity to contribute to science 😊
Our paper is now on bioRxiv, showing ultra-fast sampling (TR 125 ms) of fMRI signals at 7T combined with multivoxel decoding extracts neural information faster than fMRI signal rise, independent of slow non-neuronal venous components. Please check it out! biorxiv.org/content/10.1101/…
layerfMRI retweeted
Our paper is now on bioRxiv, showing ultra-fast sampling (TR 125 ms) of fMRI signals at 7T combined with multivoxel decoding extracts neural information faster than fMRI signal rise, independent of slow non-neuronal venous components. Please check it out! biorxiv.org/content/10.1101/…
layerfMRI retweeted
Demonstrating anatomy-functional registration of 11.7 T (!) partial-coverage human fMRI data at 0.7 × 0.7 × 0.8 mm resolution to help my colleague @MonrealMadrigal .
Who did a great job with spiral readouts. The data quality looks quite good 👏
youtu.be/Cgf8i-Lqrac
layerfMRI retweeted
📢 Hot off the press 📢
📘 The OHBM 2025 Annual Meeting Abstract Book is now available! Explore the full collection of accepted abstracts to prepare for the science awaiting in Brisbane next week.
Access here ➡️ zenodo.org/records/15641972
@OHBM
layerfMRI retweeted
Devlog #1 for LayNii IDA, a GUI for meso-(f)MRI data
Featuring whole human brain MRI datasets:
- 0.8 mm functional
- 0.35 mm in vivo multi-echo anatomical
- 0.075 mm ex vivo anatomical
Chronicling the development journey of neuroimaging software.
youtu.be/ZFsBljNOcyw?si=2l93…
layerfMRI retweeted
In this blog post I am exploring the strange tension between rigor, reach, and recognition in modern science.
What we gain (and lose) by just publishing the PDFs:
thingsonthings.org/just-publ…
layerfMRI retweeted
In @_TheTransmitter, @layerfMRI writes about new advances in fMRI that allow neuroscientists to study directionality & connectivity in the human brain at the network level — information that's vital for research on developmental & psychiatric conditions.
thetransmitter.org/future-of…
layerfMRI retweeted
Human neuroscience research has largely overlooked the mesoscale, which bridges cells and brain areas. But new advances in fMRI technology are changing that, writes @renzohuber.
thetransmitter.org/future-of…
layerfMRI retweeted
New in LayNii 2.9.0: Introducing *LayNii IDA*, a high-performance tool for real-time interaction with ultra–high resolution MRI data. Built for speed, designed for discovery. A step toward the next era of fMRI: higher res, larger datasets.
github.com/layerfMRI/LayNii/…
@layerfMRI
layerfMRI retweeted
Happy to share that our work has been published!🧠Check it out here: link.springer.com/article/10…
@ofgulban @layerfMRI @JudPet @rainergoebel
You feel something is physically moving during a bistable illusion. While your brain can trick your eyes 👀, it cannot trick our scanner🧲
Our 7T fMRI results show a distinct feedback modulation between V1 & hMT+ in this illusion👇
@ofgulban @layerfMRI @JudPet @rainergoebel
layerfMRI retweeted
In vivo reconstruction of Duvernoy's postmortem vasculature images
- Fast, high-res imaging: Whole-brain 0.35 mm MRI in <7 min at 7 T
-Vessel-type specific post-processing: Capturing large leptomeningeal, pial, and intracortical meso-veins
PDF: doi.org/10.1101/2025.03.23.6…