@alepizz_

Biomedical Engineer Phd student at Maastricht University, ESR in euSNN, *Ultra-high field fMRI*

 Maastricht, The Netherlands
Joined April 2021
  • Tweets63
  • Following275
  • Followers219
9Media
🧠Exploring the human brain at mesoscale with cutting-edge ultra-high field fMRI and new advanced quantitative analysis! 🌟 A glimpse into functional cortical columns in V5: academic.oup.com/cercor/adva… @layerfMRI @ofgulban @BenitezAmaia @JudPet @rainergoebel
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Happy to share that our paper is finally published!
Imaging Neuroscience@ImagingNeurosciJul 15
New paper in Imaging Neuroscience by Alessandra Pizzuti, Omer Faruk Gulban, et al: Multimodal laminar characterization of visual areas along the cortical hierarchy doi.org/10.1162/IMAG.a.1279
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Alessandra Pizzuti retweeted
Faruk Gulban@ofgulbanMar 11
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

Release LayNii v2.10.0 · layerfMRI/LAYNII

New programs LN2_FRISGO: This program corrects/mitigates the Fuzzy Ripple artifacts in dual polarity 3D-EPI fMRI data. LN2_ZSCORE: Simple z-scoring for time series data. LN2_DESPIKE: Developed mai...

github.com
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Alessandra Pizzuti retweeted
Science Advances@ScienceAdvancesJan 9
A new MRI protocol can scan the human #brain and its venous network in under 7 minutes, marking it as a potential tool for diagnosing cerebrovascular diseases and monitoring neurodegeneration. @ofgulban scim.ag/3LkRfRY
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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 😁
bioRxiv Neuroscience@biorxiv_neursci5 Nov 2025
Feedforward representation of face information in the fusiform face area revealed by VASO 7T layer fMRI biorxiv.org/content/10.1101/… #biorxiv_neursci

Feedforward representation of face information in the fusiform face area revealed by VASO 7T layer...

Recognizing faces is a critical cognitive process in social interaction. Face recognition has been extensively studied with functional magnetic resonance imaging (fMRI), ranging from large coverage...

biorxiv.org
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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!🧠🧲🥳
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My thesis can be downloaded here: doi.org/10.26481/dis.2025070…
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Alessandra Pizzuti retweeted
Jan Kurzawski@JanKurzawski27 Apr 2025
The paper has been just published in Nature Communications! nature.com/articles/s41467-0…

Human V4 size predicts crowding distance

Nature Communications - Across 49 observers, we found large variations in crowding distance and retinotopic map size. These measures covary, conserving a 1.4-mm cortical crowding distance in the...

nature.com
Jan Kurzawski@JanKurzawski29 Apr 2024
We found large variations in crowding distance and retinotopic map size. These measures covary, conserving a 1.4-mm cortical crowding distance (object spacing on the cortical surface) in the V4 map, but not V1-V3. This links the spacing limit of recognition to overall V4 size.
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Happy to share that our work has been published!🧠Check it out here: link.springer.com/article/10… @ofgulban @layerfMRI @JudPet @rainergoebel

In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1

Brain Structure and Function - Understanding the neural processes underlying conscious perception remains a central goal in neuroscience. Visual illusions, whether static or dynamic, provide an...

link.springer.com
Alessandra Pizzuti@alepizz_15 Sep 2024
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
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Alessandra Pizzuti retweeted
layerfMRI@layerfMRI24 Sep 2024
New layer-fMRI paper combining high-resolution VASO with an advanced 3D spiral readout. By @MonrealMadrigal, @HighOnField et al., doi.org/10.1162/imag_a_00308
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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
bioRxiv Neuroscience@biorxiv_neursci14 Sep 2024
In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1 biorxiv.org/cgi/content/shor… #biorxiv_neursci
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Alessandra Pizzuti retweeted
layerfMRI@layerfMRI9 Sep 2024
New layer-fMRI manuscript focusing on Fuzzy Ripple artifacts. Arguably the biggest challenge in layer-fMRI acquisition. Every layer-fMRI dataset has them, they limit resolution and TR, and we shows how to mitigate them. doi.org/10.1101/2024.09.04.6… #Layer_fMRI_Artifact_of_the_Week
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Alessandra Pizzuti retweeted
Michele Esposito@mikintheNL9 Sep 2024
🚀 Excited to share that my second peer-reviewed article has been published in @SciReports 🔍 We show how adding #semantics to #DNN can enhance sound recognition, making #deepneuralnetworks more human-like. nature.com/articles/s41598-0… #ScientificReports #AI #NLP #Neuroscience

Bridging auditory perception and natural language processing with semantically informed deep neural...

Scientific Reports - Bridging auditory perception and natural language processing with semantically informed deep neural networks

nature.com
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New paper in Imaging Neuroscience by Sebastian Dresbach, Rainer Goebel, et al: Characterisation of laminar and vascular spatiotemporal dynamics of CBV and BOLD signals using VASO and ME-GRE at 7T in humans doi.org/10.1162/imag_a_00263
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Alessandra Pizzuti retweeted
Rainer Goebel@rainergoebel27 Jun 2024
For an ERC-funded project I am looking for enthusiastic academics interested in investigating mental imagery using laminar fMRI, AI and BCIs. For details see: academictransfer.com/en/3427… academictransfer.com/en/3427…
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Alessandra Pizzuti retweeted
Faruk Gulban@ofgulban27 Jun 2024
3 posters at #OHBM2024 @OHBM : · 1920: 0.35 mm whole brain MRI youtu.be/5hUe_J5F354?si=auwo… · 1921: Phase spatial derivative contrasts "Jump" and "Jolt" youtu.be/xmnKw_P97jU?si=y5ID… · 1922: Phase Jolt fMRI youtu.be/CeDf9YpMtLk?si=KozV… I will be standing at poster presentation times.
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Are you interested in human vision perception study with layer-fMRI? Come to our poster #2557 🧠🌈 @OHBM
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🧠Come check out our layer-fMRI poster #2554 at @OHBM today and tomorrow!🧲 *Feedback and feedforward laminar modulation of human motion perception: a 7 T fMRI study* @ofgulban @layerfMRI @JudPet @rainergoebel #OHBM24
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Alessandra Pizzuti retweeted
layerfMRI@layerfMRI18 Apr 2024
There is a new blog post (book chapter) that provides an overview methods for computing geometric layers and columns. AKA: Layerficiation and Columnarization. It includes: Historical aspects, the layer-fMRI field now, and the future. By @ofgulban layerfmri.com/layerification…
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Alessandra Pizzuti retweeted
ApertureNeuro@ApertureOHBM18 Mar 2024
Aperture Neuro's new paper by @SteMoia et al. summarizes 14 projects developed during the #OHBM2022 hybrid #Brainhack doi.org/10.52294/001c.92760 @HaoTingW713 @anibalsolon @ufangyang @rockNroll87q @BenDeLeener @fMRI_today @mallarchkrvrty1 @OHBM
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Alessandra Pizzuti retweeted
layerfMRI@layerfMRI25 Feb 2024
Today 25 years ago, the first fMRI study got published that imposed layers on human MR images. By @Northernthrux doi.org/10.1002/(SICI)1522-2… It took another 8 years until the first layer profiles (plot of fMRI signal across layers). (Looking at layer-fMRI history with @ofgulban )
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