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Antonio Schettino

Researcher at Erasmus University Rotterdam

Publications -  23
Citations -  868

Antonio Schettino is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Event-related potential & Visual perception. The author has an hindex of 10, co-authored 21 publications receiving 700 citations. Previous affiliations of Antonio Schettino include Ghent University & University of Milan.

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Brain mechanisms for emotional influences on perception and attention: What is magic and what is not

TL;DR: It is suggested that emotion signals may enhance processing efficiency and competitive strength of emotionally significant events through gain control mechanisms similar to those of other attentional systems, but mediated by distinct neural mechanisms in amygdala and interconnected prefrontal areas.
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The comprehension of idiomatic expressions in schizophrenic patients

TL;DR: Wisconsin Card Sorting Test and Digit Sequencing were the unique predictors of performance for idiom comprehension in general, while thought disorganization was not and Cognitive decline either did not appear to predict performance.
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Attentional gain is modulated by probabilistic feature expectations in a spatial cueing task: ERP evidence.

TL;DR: It is suggested that attention and perceptual expectations interactively influence visual processing within 200 ms after stimulus onset and such joint influence may lead to enhanced endogenous attentional control in the dorsal fronto-parietal attention network.
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Brain dynamics of upstream perceptual processes leading to visual object recognition: a high density ERP topographic mapping study.

TL;DR: High density EEG in healthy adult participants performing a novel perceptual recognition task provides evidence for the early involvement, following stimulus onset, of non-overlapping brain networks during proactive processes eventually leading to visual object recognition.
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Making ERP research more transparent: Guidelines for preregistration

TL;DR: In this article, the authors present an overview of the problems associated with undisclosed analytic flexibility, discuss why and how EEG researchers would benefit from adopting preregistration, provide guidelines and examples on how to preregister data preprocessing and analysis steps in typical ERP studies, and conclude by discussing possibilities and limitations of this open science practice.