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storrisi.bsky.social

@storrisi.bsky.social
155 followers 91 following 95 posts

{f,s,d}MRI Research Scientist @ SFVA + UCSF

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storrisi.bsky.social @storrisi.bsky.social · 29/09/2026
mrisimlab.com/simulator.html
mrisimlab.com
MRISim — interactive MRI physics in your browser
An interactive MRI physics simulator running entirely in your browser via Pyodide — no install.
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storrisi.bsky.social @storrisi.bsky.social · 22/09/2026
Universities must stop protecting bullies — or more people will leave science www.nature.com/articles/d41...
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storrisi.bsky.social @storrisi.bsky.social · 22/09/2026
Someone tried to "clean up" parts of voxel-wise activations with AI and the results were HORRENDOUS. Cluster shapes changed, some crosshairs moved outside the clusters, the brain underlay grew new sulci and underwent some affine skewing, etc. Goes without saying but please don't ever do this.
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Auditory-Visual Speech Association (AVISA) @avsp.bsky.social · 16/09/2026
Simultaneous speech and gesture decoding for multimodal communication in paralysis www.nature.com/articles/s41... Shows neural signals recorded with a single high-density electrocorticography implant can support simultaneous decoding of speech & gestures Commentary www.nature.com/articles/d41...
nature.com
Simultaneous speech and gesture decoding for multimodal communication in paralysis - Nature Neuroscience
Brosler et al. develop a brain–computer interface that simultaneously decodes speech and gestures from a single cortical implant to animate a virtual avatar, providing a step toward more flexible comm...
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storrisi.bsky.social @storrisi.bsky.social · 21/09/2026
the Delta DIY MRI Workshop (building an ultra-low field scanner) at JHU in Baltimore was super fun and educational last week. highly recommended.
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storrisi.bsky.social @storrisi.bsky.social · 18/09/2026
www.cestworkshop.com
cestworkshop.com
Home | CEST Workshop 2027
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Matt Wall @mattwall.bsky.social · 04/09/2026
First report on fMRI data from the absolute monster 11.7T Iseult MRI scanner at the NeuroSpin centre in France. Cool stuff. direct.mit.edu/imag/article...
direct.mit.edu
Human fMRI at 11.7T: Assessing Feasibility, Stability, and Reliability on the Iseult Scanner
Abstract. Ultra-high-field MRI promises major gains in BOLD sensitivity but introduces severe challenges such as RF field inhomogeneity, B0 field inhomogeneity, motion and vibration-induced field vari...
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tor @torwager.bsky.social · 03/09/2026
Launching scienceofplacebo.org: a living bibliography of placebo and nocebo research. New papers screened & tagged daily by design, population, outcome and findings, with a searchable database (currently about 5,000 papers), an interactive researcher map, events, news and discussion.
scienceofplacebo.org
Science of Placebo
A research hub for the science of placebo and nocebo effects: a daily-updated feed of new papers, a searchable tagged database, bibliometrics, events, resources and discussion.
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storrisi.bsky.social @storrisi.bsky.social · 05/09/2026
AI watermarking is more clever and complex than i had imagined youtu.be/BFksx2M93sw?...
youtu.be
Google has secretly been watermarking your text for years.
YouTube video by Alberta Tech
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Paul Taylor @afni-pt.bsky.social · 31/08/2026
Have you ever felt like something was missing from your #fmri results? Have you been worried about potential reproducibility issues? Well, this new @natmethods.nature.com article with 40+ coauthors shows how the simple change to transparent thresholding helps both. Go Figure! rdcu.be/B4tikBETdQZa
A comparison of old and new thresholding approaches for fMRI data. The newer, transparent thresholding allows for interpreting context, more complete modeling, a reduction of biases and an increase in meaningful content. This all leads to more accurate interpretations and improved reproducibility evaluations.
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Eliza Bliss-Moreau @eblissmoreau.bsky.social · 29/08/2026
We're currently hiring a new director for the renowned UC Davis Center for Mind and Brain. The director will be appointed as a Professor in our psychology department: recruit.ucdavis.edu/JPF07814
recruit.ucdavis.edu
Director of the Center for Mind and Brain & Professor of Psychology
University of California, Davis is hiring. Apply now!
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Aperture Neuro @apertureohbm.bsky.social · 26/08/2026
Can real-time brain feedback be combined with targeted brain stimulation? Beynel et al. demonstrate the feasibility of integrating real-time #fMRI neurofeedback with #rTMS—and share valuable technical lessons for future studies. 🔗 apertureneuro.org/article/1655...
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storrisi.bsky.social @storrisi.bsky.social · 22/08/2026
Longitudinal Precision Functional Mapping in Psychiatry jamanetwork.com/journals/jam...
jamanetwork.com
Longitudinal Precision Functional Mapping in Psychiatry
This Viewpoint discusses longitudinal precision functional mapping in psychiatry.
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Richard D. Morey @richarddmorey.bsky.social · 18/08/2026
Nothing in my experimental-cognitive/math-psych background could have prepared me for the unique horror of large-scale routinely-collected medical and educational data
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BWJones @bwjones.bsky.social · 17/08/2026
Just had my daily reminder of how wonderful the NIH peeps are who handle all of the work involved in managing grants for those of us out here in extramural land. The NIH staff really are the best humans, working so hard to ensure that the science can continue in incredibly challenging times.
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storrisi.bsky.social @storrisi.bsky.social · 15/08/2026
they have some exciting things cooking: www.biorxiv.org/content/10.6...
biorxiv.org
Deep Computational Anatomy via Latent-Aligned Multiview Normalizing Flows
In modeling complex probability distributions, normalizing flows provide exact-likelihood, bijective mappings between empirical data and tractable latent spaces. Building on this foundation, latent-al...
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storrisi.bsky.social @storrisi.bsky.social · 08/08/2026
my abstract "Functional MRI comparisons of a motor task at 3T, 5T and 7T" was accepted at @asfnr.bsky.social. hope to you see you down in Newport Beach in October!
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Abraham Zelalem Vollan @azvollan.bsky.social · 06/08/2026
Now in Science: How does the brain’s navigation system allocate its limited representational resources during behavior? We found that grid cells sweep toward locations of interest, providing a potential mechanism for allocating spatial attention in the cognitive map.🧵 science.org/doi/10.1126/...
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storrisi.bsky.social @storrisi.bsky.social · 01/08/2026
www.linkedin.com/posts/dipy_d...
linkedin.com
#dipy #dmrizerotohero #diffusionmri #neuroimaging #tractography #brainmapping #python #neuroscience | Diffusion Imaging in Python
🍃 Welcome to Week 30 of our Diffusion MRI Zero To Hero series! Over the past 29 weeks, we have walked through the entire diffusion MRI pipeline - from what diffusion MRI even is, all the way to mappi...
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storrisi.bsky.social @storrisi.bsky.social · 28/07/2026
www.jneurosci.org/content/46/2...
jneurosci.org
My Fifty Years Thinking about Emotional Consciousness in the Brain
This piece provides an overview of my fifty-year career as a neuroscientist. I spent much of this time trying to understand what emotions are and how they relate to human behavior and consciousness. I...
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storrisi.bsky.social @storrisi.bsky.social · 27/07/2026
wanted to learn @nilearn.bsky.social GLM-ing at NeuroHackademy, so as part of a group project I analyzed the open dataset "Study Forrest" localizers at the group level (n=15), visualized with alpha thresholding (also nilearn). here's the body localizer, corrected at p<0.001 via permutation testing:
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storrisi.bsky.social @storrisi.bsky.social · 26/07/2026
had an absolute blast in the 2 week NeuroHackademy workshop up at University of Washington
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Rik Henson @rhens.bsky.social · 20/07/2026
Thanks to Kshipra Guranandan, my notebook on how to design efficient fMRI experiments (for activity, connectivity and pattern analysis) is now available in Python as a Jupyter notebook (as well as previous Matlab): github.com/RikHenson/fM...
github.com
GitHub - RikHenson/fMRIefficiency
Contribute to RikHenson/fMRIefficiency development by creating an account on GitHub.
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Nature Reviews Psychology @natrevpsychol.nature.com · 13/07/2026
Proprietary LLMs impede scientific transparency and reproducibility Comment by Killian L. McLoughlin, Alexis Palmer, J. Nathan Matias & M. J. Crockett Web: go.nature.com/4wDYqGI PDF: rdcu.be/ftzkM
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Dan Handwerker @danielhandwerker.bsky.social · 10/07/2026
The 2026 fMRI Summer Course with @fmri-today.bsky.social has begun and the recordings and slides are shared here: fmrif.nimh.nih.gov/SummerCourse
fmrif.nimh.nih.gov
FMRIF Summer Course
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storrisi.bsky.social @storrisi.bsky.social · 03/07/2026
Why paying peer reviewers works, according to a journal’s editor-in-chief www.nature.com/articles/d41...
nature.com
Why paying peer reviewers works, according to a journal’s editor-in-chief
A biology journal that paid peer reviewers found that the approach cut the time to a first editorial decision by 85% and maintained high-quality reviews.
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storrisi.bsky.social @storrisi.bsky.social · 03/07/2026
Multiscale characterization of the human claustrum from histology to MRI www.pnas.org/doi/10.1073/...
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Blaise Frederick @blaisefrederick.bsky.social · 02/07/2026
Dr. Tianye Zhai’s careful and exhaustive new paper evaluating the effects of numerous fMRI denoising pipeline components, alone and in combination, just came out in HBM - check it out! onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
Benchmarking fMRI Denoising Pipelines
This paper benchmarked fMRI denoising pipelines on task- and resting-state, single- and multi-echo fMRI datasets, in a modern 1-step regression framework, with pre-whitening and time-shifted physiolo...
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Neuroskeptic @neuroskeptic.bsky.social · 28/06/2026
In-scanner thoughts contribute to resting-state functional connectivity pubmed.ncbi.nlm.nih.gov/42365014/ I've long thought that this is the "elephant in the room" of resting state #fMRI esp. for comparing groups. If two groups think & feel differently in the scanner, of course rsfMRI will differ!
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storrisi.bsky.social @storrisi.bsky.social · 25/06/2026
been enjoying @neurodesk.org lately
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Imaging Neuroscience @imagingneurosci.bsky.social · 18/06/2026
New paper in Imaging Neuroscience by Andrea Brandstetter, Katrin Amunts, et al: Organization, fine structure, and stereotaxic maps of the human Bed nucleus of the Stria terminalis doi.org/10.1162/IMAG...
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storrisi.bsky.social @storrisi.bsky.social · 18/06/2026
youtu.be/ML3q7Ok4hJg?...
youtu.be
I read every major CS paper of the last 100 years...
YouTube video by Fireship
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storrisi.bsky.social @storrisi.bsky.social · 15/06/2026
afni.nimh.nih.gov/pub/dist/doc...
afni.nimh.nih.gov
14. Codex: AFNI Code Examples from publications — AFNI, SUMA and FATCAT: v25.2.00
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Paul Taylor @afni-pt.bsky.social · 09/06/2026
Job ad (2/2): data scientist in the AFNI group (SSCC, NIMH, NIH, USA). FMRI/MRI methods dev, software design, statistics, analysis, data viz, quality control, machine learning and more! Please see: discuss.afni.nimh.nih.gov/t/job-ad-dat... I am happy to chat at OHBM+Brainhack. Please share!
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Paul Taylor @afni-pt.bsky.social · 09/06/2026
Job ad (1/2): Postdoc fellowship in the AFNI group (SSCC, NIMH, NIH, USA). FMRI/MRI methods dev, software design, statistics, analysis, data viz, quality control, machine learning and more! Please see: discuss.afni.nimh.nih.gov/t/job-ad-pos... I am happy to chat at OHBM+Brainhack. Please share!
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Alexander Rauscher 🖇️ @rauschermri.bsky.social · 05/06/2026
You can track respiration during fMRI using the phase images of your EPI scan; the fMRI respiration tracking toolbox got an update. github.com/alexjaffray/...
github.com
GitHub - alexjaffray/fMRI-phase-toolbox: Toolbox for processing and analysis of spatiotemporal image phase fluctuations during fMRI scans.
Toolbox for processing and analysis of spatiotemporal image phase fluctuations during fMRI scans. - alexjaffray/fMRI-phase-toolbox
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Marc L Seal @parkvillegeek.bsky.social · 13/05/2026
Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography | Brain Structure and Function | Springer Nature Link link.springer.com/article/10.1...
link.springer.com
Did you know? State-of-the-art preprocessing diffusion MRI data can improve tractography - Brain Structure and Function
Brain Structure and Function - Diffusion MRI fiber tractography is sensitive to noise and artifacts in diffusion-weighted images, and these challenges can propagate into fiber-orientation...
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Josh Johansen @jojolab.bsky.social · 07/05/2026
I’m very sad to share that Howard Fields has died. He made seminal discoveries in pain modulation, placebo, and addiction. He was also a wonderful mentor and friend who taught me how to think about the brain and the joy of scientific discovery. www.iasp-pain.org/publications...
iasp-pain.org
In Memory of Howard L. Fields - International Association for the Study of Pain (IASP)
IASP is deeply saddened to hear of the recent death of Honorary IASP Member, Prof Howard Fields, and we offer our condolences to his family, friends and colleagues. We are […]
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The Journal of Pain @thejournalofpain.bsky.social · 24/04/2026
Original: Drs. Strigo, Simmons, @storrisi.bsky.social, @benalter.bsky.social, et al. identified distinct neural phenotypes of pain anticipation in chronic low back pain (cLBP) and examined their clinical and physiological correlates in 43 cLBP patients. FULL:
jpain.org
Brain mechanisms of pain anticipation in chronic low back pain: Insights into phenotypical responses to mind-body therapy
Pain perception and emotional processing share common predictive mechanisms influenced by anticipation, expectation, and uncertainty. This study identifies distinct neural phenotypes of pain…
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storrisi.bsky.social @storrisi.bsky.social · 07/05/2026
youtu.be/MtxP2pyCvYA?...
youtu.be
Every operating system concept in one video…
YouTube video by Fireship
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PessoaBrain @pessoabrain.bsky.social · 07/05/2026
𝗠𝗮𝗷𝗼𝗿 𝗱𝗲𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗲 𝗹𝗲𝗻𝘀 𝗼𝗳 circuit 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 Finally research is considering the functional/ anatomical complexity of the brain. It's not about regions, but how circuits function dynamically. www.cell.com/neuron/abstr... #neuroskyence
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Dan Quintana @dsquintana.bsky.social · 29/04/2026
Selecting an effect size for power analysis is hard. Many researchers fall back on Cohen's thresholds, but they have no empirical basis and vary wildly by field. Our new paper offers a better option: field-specific effect size distributions built from meta-analytic data doi.org/10.3758/s134...
Abstract
Effect sizes are useful for understanding the magnitude of study results and for planning new studies via power analysis.
However, despite their wide usage, effect sizes are often misinterpreted. This is mostly due to an over-reliance on general
effect size benchmarks that were not intended for broad application across diverse research fields. Inaccurate effect size
interpretations can lead to incorrect conclusions about the magnitude of study results and incorrect sample size estimates,
thereby increasing the likelihood of false-positive results. This article introduces the ESDist R package, which is designed
to calculate empirically derived effect-size benchmarks or a range of reliably detectable empirical effect sizes for a specific
research question or field of interest by computing effect size distributions (ESDs). This package can be used on data that
can be easily extracted from pre-existing meta-analyses to help researchers more accurately plan new studies or to better
understand how an individual study might relate to other studies in their field. ESDist includes a set of features that make it
easy to use in a priori power analysis. Moreover, the package includes a feature for estimating effect size benchmarks that
account for publication bias and are weighted by effect sizes' variances, which addresses existing limitations of using ESDs
for study planning or interpretation.
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Konrad Kording @kordinglab.bsky.social · 28/04/2026
After rereading the cool hidden brain paper (www.frontiersin.org/journals/sys...) I decided to make a new version. Code and everything available here: github.com/koerding/neu... Most popular: hippocampus. Why are diagonal band, medial geniculate nucleus, and interposed nucleus so unpopular?
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practiCal fMRI @practicalfmri.bsky.social · 27/04/2026
BOLD response delays represent local cortical processing pubmed.ncbi.nlm.nih.gov/42015405/
pubmed.ncbi.nlm.nih.gov
BOLD response delays represent local cortical processing - PubMed
A number of studies showed that stimulus or task conditions can alter the shape of the hemodynamic response (HR). Contrary to variations across brains and brain regions, vascular factors alone cannot ...
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Antje Hellwich @antjehellwich.bsky.social · 24/04/2026
Deep Learning Reconstruction to Support Clinical Adoption of Submillimeter #Neuroimaging at #7T. Piotr Radojewski, MD (inselbruppe.bsky.social), et al. 📄 marketing.webassets.siemens-healthineers.com/d101b2500100... #MRI #UHF #NeuroSky #RadSky #DeepLearning @tomhilbertmri.bsky.social
Ultra-high-field MRI (7 Tesla and above) enables submillimeter spatial resolution that creates new opportunities for detailed neuroanatomical assessment and lesion characterization. However, long acquisition times are a major barrier to routine clinical use. 

The authors illustrate how deep learning-based reconstruction enables higher acceleration of high-resolution brain imaging while preserving diagnostic image quality and thereby supporting the broader clinical usability of 7T MRI.

Shoutout to the co-authors: Thomas Yu, Jocelyn Philippe, Gabriele Bonanno, Kevin Battistini, Caterina Bernetti, Roland Wiest, Marwan El-Koussy, Natalia Pato Montemayor, Dominik Nickel, Patrick Liebig, Robin M. Heidemann, Felix T. Kurz, Jean-Philippe Thiran, Tom Hilbert, Tobi Kober, Gian Franco Piredda
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storrisi.bsky.social @storrisi.bsky.social · 10/04/2026
The world’s supply of helium is being threatened by the Iran war theconversation.com/the-worlds-s...
theconversation.com
The world’s supply of helium is being threatened by the Iran war
Helium, a critical material, could be in short-supply due to Qatar’s suspension of gas production.
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storrisi.bsky.social @storrisi.bsky.social · 02/04/2026
so i guess dcm2bids died because they made breaking changes multiple times? codebase hasn't been updated in years. what are people using now?
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Dan Handwerker @danielhandwerker.bsky.social · 30/03/2026
How do we define "good" fMRI data? Especially with resting state, there are circularity risks if we evaluate data quality as showing the networks we expect to see. Javier Gonzalez-Castillo (& me & others) developed pBOLD, a new metric that uses multi-echo info. www.biorxiv.org/content/10.6... 1/8
biorxiv.org
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Jörn Diedrichsen @diedrichsenjorn.bsky.social · 24/03/2026
For nearly two decades resting-state fMRI has ruled supreme. And resting-state is suprisingly powerful. But we can do so much better by using broad batteries of tasks with the right design. Here a double-punch delivered by two papers from @carobellum.bsky.social and @basselarafat.bsky.social!
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storrisi.bsky.social @storrisi.bsky.social · 18/03/2026
Thanks so much @tknapen.bsky.social and Gilles de Hollander for their @openneuro.bsky.social upload of a special ODC dataset. Was able to replicate the ODC findings from your subject 6 using my afni_proc + SUMA-based pipeline. i'll post the LH below.
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