Arianna Polverino

Biologist, PhD
Institute of Diagnosis and Treatment Hermitage Capodimonte, Naples, Italy.

[Pierpaolo Sorrentino @PierpaSorre]

One can use the flexibility of critical dynamics, derived from neuronal avalanches and M/EEG, in order to predict individual disability in #AmyotrophicLateralSclerosis ! Now "In Focus" in #Neurology @GreenJournal @AANmember @HumanBrainProj

[Institut de Neuroscience des Systèmes @INS_Umr1106]

Great international collaboration using criticality and magnetoencephalography to predict individual impairment in ALS @MonashUni @HbpWp1 @PierpaSorre @CNRsocial_ @univAMU_Europe @Uniparthenope

[Human Brain Project @HumanBrainProj]

A study by Human Brain Project researchers identifies a new marker for predicting the clinical outcome of patients of Amyotrophic Lateral Sclerosis (ALS) through magnetoencephalography.

Read more ➡️ https://t.co/BNfBdvviHR

[Pierpaolo Sorrentino @PierpaSorre]

Critical dynamics provides a key to extracting relevant features from large-scale brain activity! Come see how this applies to brain-computer interfaces (IW-87)! #Biomag2022 @biomag2020 @INS_Umr1106 @HumanBrainProj

[Pierpaolo Sorrentino @PierpaSorre]

Brain fingerprinting might allow personalized brain imaging. But what makes someone’s connectivity identifiable? MEG shows that aperiodic bursts of activity drive identifiability. @HumanBrainProj @HbpWp1 @INS_Umr1106 @univamu @Uniparthenope @CNRsocial_
https://t.co/FMnzSpDqgd

[Emahnuel @Emahnuel_TL]

Network analysis applied to human kinematics. A whole-body analysis approach to study human movement.
https://t.co/l6GrhalsKR

[Pierpaolo Sorrentino @PierpaSorre]

How to best extract relevant information from brain signals to inform brain-computer interfaces? The answer is *critical* (dynamics)! Come discuss with me tomorrow morning at poster S05-449 at #FENS2022 w/ @MConstanceCorsi @HbpWp1 @HumanBrainProj @InstitutCerveau @EBRAINS_eu

[Emahnuel @Emahnuel_TL]

Brain fingerprint alterations in ALS patients are related to the clinical impairment. Now on Neuroimage: Clinical -> @eic_nic

Thanks in particular to @Antonella220197 @giu_sorre @PierpaSorre @Enri_amico

https://t.co/LwcFTXB1Bx

[Pierpaolo Sorrentino @PierpaSorre]

How to measure the speed of propagation of activity across the white tracts? Well, merge DTI and magnetoencephalography! How? Come see my poster on Wed and Thu #OHBM2022 (WTh299) to find out !! Keen to chat with you about it! @OHBM

[Pierpaolo Sorrentino @PierpaSorre]

Which parts of brain signals truly capture large-scale communication? Concepts from critical dynamics are applied to capture task-related processes and improve brain-computer interfaces. Thanks to the great @MCorsi, @HbpWp1 @DaniSBassett @HumanBrainProj https://t.co/zG353nHP4z

[Mario Lavanga @Mario_Lavanga]

New preprint alert 🚨🚨
The virtual aging brain: a model-driven explanation for cognitive decline in older subjects |
https://t.co/vb7vCR7wub

by @Mario_Lavanga and Johanna Stumme w/ @baharhazal, @jan_fous , @spase_petkoski, @meysam0873, @LabCaspers and @ViktorJirsa

[Pierpaolo Sorrentino @PierpaSorre]

Is there ALWAYS the SAME gradient of time scales in the brain? But traveling waves don’t always travel the same way! Measuring time scales of MEG edge time-series, we show dynamically reconfiguring gradients…back-to-front, front-to-back, and…back. https://t.co/gF5EroO7TR

[Institut de Neuroscience des Systèmes @INS_Umr1106]

Check out our new paper translating concepts from dynamical systems right to the bedside, showing the importance of #braindynamics to explain complex neurological symptoms, as in Amyotrophic lateral sclerosis!!#Amyotrophiclateralsclerosis #ALS #neuroscience #MEGstudies

[Emahnuel @Emahnuel_TL]

A network approach to the movement kinematics. From subject recognition to clinical exploration.
With @PierpaSorre and @Enri_amico

The kinectome: a comprehensive kinematic map of human motion in health and disease https://t.co/GytHqyusBM

[Pierpaolo Sorrentino @PierpaSorre]

The importance of flexible scale-free dynamics in Amyotrophic lateral sclerosis: stereotyping of the brain functional repertoire predicts clinical impairement! By @Aripol_87 with the NaplesMeg, & @INS_Umr1106 @HbpWp1 @ViktorJirsa & the great Leo Gollo!! https://t.co/UYi6OiZCRe

[Pierpaolo Sorrentino @PierpaSorre]

Even in Parkinson's disease, fading of the brain connectome fingerprint relates to clinical disability https://t.co/Fw1FmYOfr1. Again, a hint of the validity of the Clinical Connectome fingerprints in neurodegenerative diseases!! https://t.co/ALQfmb8h5G

[Pierpaolo Sorrentino @PierpaSorre]

Neurodegeneration makes brain dynamics more stereotyped, which in turn worsens subject identifiability. In amyotrophic lateral sclerosis, we show that the reduction of identifiability of a patient predicts its clinical impairement !! https://t.co/jhd73iVfYJ