@Emahnuel_TL

PhD student in Human Movement Sciences and Sport activities

Joined September 2020
  • Tweets32
  • Following41
  • Followers34
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Assessing motor coordination using network theory to evaluate “The influence of auditory stimulation on whole body variability in healthy older adults during gait” sciencedirect.com/science/ar…
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How do oscillatory activities, 1/f properties, and neuronal avalanches coexist in brain signals? Thanks to Damián Dellavale and @GRabuffo, we go from theory to models, to MEG data. What minimal properties must be there to have "it all"? biorxiv.org/content/10.1101/…
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Turns out, subject identification is mainly driven by the scale-free part of brain signals... sciencedirect.com/science/ar…
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Nasce "MoveNet", nuova StartUp di @Uniparthenope che mette tecniche avanzate di analisi del movimento al servizio dello sport e delle persone con disabilità motorie! Grazie a Diletta Capissi per aver colto l'essenza e la finalità di MoveNet! @mattinodinapoli
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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
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Network approach to gait kinematics - poster at: @Siamoc2 Related paper: nyaspubs.onlinelibrary.wiley…
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Great international collaboration using criticality and magnetoencephalography to predict individual impairment in ALS @MonashUni @HbpWp1 @PierpaSorre @CNRsocial_ @univAMU_Europe @Uniparthenope
Human Brain Project@HumanBrainProj3 Oct 2022
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 ➡️ bit.ly/3Sy5Wzd
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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 ➡️ bit.ly/3Sy5Wzd
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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
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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_ biorxiv.org/content/10.1101/…
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Network analysis applied to human kinematics. A whole-body analysis approach to study human movement. nyaspubs.onlinelibrary.wiley…

NYAS Publications

Here, we propose to represent human movement as a network (that we named kinectome), where nodes represent body points, and edges are defined as the correlations of the accelerations between each...

nyaspubs.onlinelibrary.wiley.com
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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
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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 sciencedirect.com/science/ar…
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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
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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 doi.org/10.1101/2022.06.14.4…
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A new collaboration using ideas from non-linear dynamics to optimise #brain -computer interfaces #neuroscience #braincomputerinterfaces #criticaldynamics @univamu @Inserm @CNRS_dr12 @univAMU_Europe @EBRAINS_eu
Pierpaolo Sorrentino@PierpaSorre17 Jun 2022
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 doi.org/10.1101/2022.06.14.4…
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#PLOSONE: Sensitivity to gait improvement after levodopa intake in Parkinson’s disease: A comparison study am ... dx.plos.org/10.1371/journal.…

Sensitivity to gait improvement after levodopa intake in Parkinson’s disease: A comparison study...

The synthetic indices are widely used to describe balance and stability during gait. Some of these are employed to describe the gait features in Parkinson’s disease (PD). However, the results are...

journals.plos.org
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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!! doi.org/10.1101/2022.02.07.2…
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Even in Parkinson's disease, fading of the brain connectome fingerprint relates to clinical disability doi.org/10.1101/2022.02.03.2…. Again, a hint of the validity of the Clinical Connectome fingerprints in neurodegenerative diseases!! doi.org/10.1016/j.neuroimage…
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The progressive loss of brain network fingerprints in Amyotrophic Lateral Sclerosis predicts clinical impairment medrxiv.org/content/10.1101/…

The progressive loss of brain network fingerprints in Amyotrophic Lateral Sclerosis predicts...

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by functional connectivity alterations in both motor and extra-motor brain regions. In network analysis, fingerprint...

medrxiv.org
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