Vittorio Pizzella
University of Chieti-Pescara
184 Papers
1.3K Citations
Vittorio Pizzella is an academic researcher from University of Chieti-Pescara. The author has contributed to research in topics: Magnetoencephalography & Somatosensory system. The author has an hindex of 45, co-authored 174 publications. Previous affiliations of Vittorio Pizzella include Sapienza University of Rome & University of Ulm.
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Papers
Temporal Dynamics of Plastic Changes in Human Primary Somatosensory Cortex after Finger Webbing
Maria L. Stavrinou,Maria L. Stavrinou,Stefania Della Penna,Vittorio Pizzella,K. Torquati,F. Cianflone,Raffaella Franciotti,Anastasios Bezerianos,Gian Luca Romani,Paolo Maria Rossini +9 more
TL;DR: This study adapted the paradigm of finger webbing, in which 4 fingers are temporarily webbed together, hence modifying their sensory feedback, to provide a unique frame in which the different representational changes occur and shows how brain reorganization occurs over time.
Passive ankle dorsiflexion by an automated device and the reactivity of the motor cortical network
Simone Pittaccio,Filippo Zappasodi,Gabriella Tamburro,Stefano Viscuso,Laura Marzetti,Lorenzo Garavaglia,Franca Tecchio,Vittorio Pizzella +7 more
- 03 Jul 2013
TL;DR: There are similar patterns of activity between active and passive movement, particularly in β band, in the contralateral primary sensorimotor, dorsal premotor and supplementary motor areas, which might suggest that passive motion provides somatosensory afferences that, to some extent, are processed in a similar manner as for voluntary control.
Brain Functional Connectivity Through Phase Coupling of Neuronal Oscillations: A Perspective From Magnetoencephalography.
Laura Marzetti,Alessio Basti,Federico Chella,Antea D'Andrea,Jaakko Johannes Syrjälä,Vittorio Pizzella +5 more
TL;DR: The field of MEG functional connectivity has made substantial steps forward in the recent years and is now ready for bringing the study of brain networks to a more mechanistic understanding.
Decoding working memory task condition using magnetoencephalography source level long-range phase coupling patterns.
TL;DR: The study successfully decoded WM tasks using MEG source space functional connectivity and showed that phase coupling patterns not only in the theta and alpha but also in the gamma bands are related to WM processing, as testified by improvement in classification performance.
Brain plasticity in recovery from stroke: an MEG assessment.
Franca Tecchio,Filippo Zappasodi,Mario Tombini,A. Oliviero,Patrizio Pasqualetti,Fabrizio Vernieri,Matilde Ercolani,Vittorio Pizzella,Paolo Maria Rossini +8 more
TL;DR: Support is provided to the positive role of cerebral plasticity phenomena to regain lost functions in those patients unable to achieve total recovery by an unusual recruitment-as revealed by an excessive inter-hemispheric asymmetry of M20 cortical source position.