M
Mauro Gianni Perrucci
Researcher at University of Chieti-Pescara
Publications - 75
Citations - 4585
Mauro Gianni Perrucci is an academic researcher from University of Chieti-Pescara. The author has contributed to research in topics: Functional magnetic resonance imaging & Brain activity and meditation. The author has an hindex of 26, co-authored 65 publications receiving 3910 citations. Previous affiliations of Mauro Gianni Perrucci include Foundation University, Islamabad.
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Electrophysiological signatures of resting state networks in the human brain.
TL;DR: This work has identified six widely distributed resting state networks and supports for the first time in humans the coalescence of several brain rhythms within large-scale brain networks as suggested by biophysical studies.
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Neural correlates of focused attention and cognitive monitoring in meditation.
Antonietta Manna,Antonino Raffone,Antonino Raffone,Mauro Gianni Perrucci,Davide Nardo,Davide Nardo,Antonio Ferretti,Armando Tartaro,Alessandro Londei,Cosimo Del Gratta,Marta Olivetti Belardinelli,Gian Luca Romani +11 more
TL;DR: The evidence suggests that expert meditators control cognitive engagement in conscious processing of sensory-related, thought and emotion contents, by massive self-regulation of fronto-parietal and insular areas in the left hemisphere, in a meditation state-dependent fashion.
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The sense of touch: Embodied simulation in a visuotactile mirroring mechanism for observed animate or inanimate touch
Sjoerd J. H. Ebisch,Mauro Gianni Perrucci,Antonio Ferretti,Cosimo Del Gratta,Gian Luca Romani,Vittorio Gallese +5 more
TL;DR: Findings show that activation of a visuotactile mirroring mechanism for touch observation might underpin an abstract notion of touch, whereas activation in SI might reflect a human tendency to resonate more with a present or assumed intentional touching agent.
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Complete artifact removal for EEG recorded during continuous fMRI using independent component analysis.
Dante Mantini,Mauro Gianni Perrucci,Simone Cugini,Antonio Ferretti,Gian Luca Romani,C. Del Gratta +5 more
TL;DR: A comprehensive method based on independent component analysis (ICA) for simultaneously removing BCG and ocular artifacts from the EEG recordings, as well as residual MRI contamination left by AAS, which performs significantly better than the AAS method in removing the BCG artifact.
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Large-scale brain networks account for sustained and transient activity during target detection.
TL;DR: A trial-by-trial EEG-fMRI correlation approach revealed that five large-scale brain networks are involved in target detection with different functional roles: the ventral attention network, dedicated to revealing salient stimuli, was transiently activated by the occurrence of targets; the dorsal Attention network, usually engaged during voluntary orienting, reflected sustained activity, possibly related to search for targets.