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
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
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
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
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
A novel index of trunk displacement in gait analysis:
insight from an evolutionary perspective and application in Parkinson's disease.
https://t.co/J2vTW53O2C
Our new Paper is Online! So proud of this work!
@Emahnuel8@MariannaLiparo2
"The effects of different frequencies of rhythmic acoustic stimulation on gait stability in healthy elderly individuals: a pilot study" https://t.co/pcQHP6bSzb
It looks like critical fast brain dynamics are stereotyped in Parkinson's, proportionally to network synchronization AND to clinical impairment...Those basal ganglia🙄...Out now, from the NaplesMEG team, my friend Leo Gollo and @DrBreaky https://t.co/an3zgL1gYG
The effects of different frequencies of rhythmic acoustic stimulation on gait kinematics and trunk sway in healthy elderly population https://t.co/ByZ37z6Viu
Brain fingerprinting has become a new field in brain connectomics. Yet, it is unclear whether "connectivity fingerprints" can be used to map disease progression. We propose a framework to detect individual connectome features from clinical populations👇 https://t.co/IiFzZTLrAC