NeuroN (@NeuroN_Lab) header
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Twitter account of the Neuroimaging Laboratory of the Department of Advanced Biomedical Sciences, University of Naples "Federico II", Italy

Naples, Campania
Joined November 2018
Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)Photo by NeuroN (@NeuroN_Lab)
Congrats to our NeuroN friend and colleague Alessandra Scaravilli for this achievement!
AJNR Global Neuroradiology Award Goes To: Dr. Alessandra Scaravilli MR Imaging Signs of Gadolinium Retention Are Not Associated with Long-Term Motor and Cognitive Outcomes in Multiple Sclerosis #ASNR24
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Commentary: The rising role of magnetic resonance imaging biomarkers in diagnosing multiple sclerosis (@giupontillo, @siriococozza, @NeuroN_Lab ) #EuropeanRadiology Commentary 👉 buff.ly/3th5vla
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Our latest work on @TheAJNR, by Scaravilli et al, is now available! You can read it here: bit.ly/40rNEmJ
“MR Imaging Signs of Gadolinium Retention Are Not Associated with Long-Term Motor and Cognitive Outcomes in Multiple Sclerosis“ #MultipleSclerosis #Gadolinium #EditorsChoice @NeuroN_Lab | bit.ly/40rNEmJ
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Gabusi et al. examined brain connectivity in #FabryDisease using diffusion and resting-state functional MRI data— revealing patients with Fabry disease show both structural disconnection and functional reorganization associated with cognitive performances. bit.ly/3Tidrdx
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Great talk by @giupontillo on the Brain-Age Paradigm in #FabryDisease
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Congratulations to @lorenzo_ugga for the #ESNR Springer Award 2022!
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Announcing #Neuroradiology Top 5 Most downloaded paper in 2021! Congratulations to the Authors for the result! #Neurorad @ESNRad @siriococozza @GiulioZuccoliMD
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Our latest article published in @TheAJNR is now online! We present a comprehensive review on #quantitative #MRI in #MultipleSclerosis, describing the physics behind these techinques, the neurobiological correlates and the main applications in #MS patients. ajnr.org/content/early/2022/…
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Our latest article published in @TheAJNR is now online! We present a comprehensive review on #quantitative #MRI in #MultipleSclerosis, describing the physics behind these techinques, the neurobiological correlates and the main applications in #MS patients. ajnr.org/content/early/2022/…
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We are very excited to be live here in London for the @ISMRM annual meeting!
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"Stratification of multiple sclerosis patients using unsupervised machine learning". Our latest article, by @giupontillo et al, has been published with @SpringerNature in European Radiology, flagship journal of the @myESR. Read it here: rdcu.be/cIYsX
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New year, old neuroradiological habits! Additional evidences showing the (no pun intended) central role of the Central Vein Sign in #MS diagnosis. Our latest article has been published in European Radiology, flagship Journal of @myESR Read it here: link.springer.com/article/10…
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NeuroN retweeted
"A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis" | #NeuroRad @renatocuocolo | bit.ly/3qO4qy7
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Congrats to NeuroN’s own @giupontillo for receiving the 2021 @ESNRad Scientific Award for the best Research in the field of #neuroradiology !
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Ah, in case you were wondering, @giupontillo is also the winner of the 2021 @ESNRad Research Fellowship!
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Great oral presentation at #ESNR2021 by @giupontillo , moderated by @gennadanna , about our latest (yet unpublished) paper on MS!
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People from NeuroN Lab (with very fancy face masks) live in Geneve and ready for #ESNR2021 @ESNRad
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We are talking about #radiomics, #machinelearning and #MultipleSclerosis here! No, we are not trying to go viral (maybe just a little), these are the topics of our latest paper, by @giupontillo et al , published in @TheAJNR ! Read it here: doi.org/10.3174/ajnr.A7274
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We are one of these 42 groups! Great work by @kurtschilling5 out now in Neuroimage!
Now out in NeuroImage! Question: What happens when 42 groups dissect 14 white matter bundles on the same dataset? Answer: doi.org/10.1016/j.neuroimage…
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