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Fabio Apicella

Researcher at University of Pisa

Publications -  64
Citations -  2112

Fabio Apicella is an academic researcher from University of Pisa. The author has contributed to research in topics: Autism & Autism spectrum disorder. The author has an hindex of 22, co-authored 60 publications receiving 1623 citations.

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Motherese in Interaction: At the Cross-Road of Emotion and Cognition? (A Systematic Review)

TL;DR: The purpose was to provide an update of the evidence accumulated by reviewing all of the empirical or experimental studies that have been published since 1966 on IDS driving factors and impacts to suggest IDS is part of an interactive loop that may play an important role in infants’ cognitive and social development.
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Gut to brain interaction in Autism Spectrum Disorders: a randomized controlled trial on the role of probiotics on clinical, biochemical and neurophysiological parameters

TL;DR: The effects of supplementation with a probiotic mixture (Vivomixx®) in ASD children not only on specific GI symptoms, but also on the core deficits of the disorder, on cognitive and language development, and on brain function and connectivity are determined.
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Do parents recognize autistic deviant behavior long before diagnosis? Taking into account interaction using computational methods.

TL;DR: It is stressed that credence should be given to parents' intuition as they recognize, long before diagnosis, the pathological process through the interactive pattern with their child, when studying interactive patterns.
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Analysis of unsupported gait in toddlers with autism.

TL;DR: The specificity of motor disturbances identified in autism (postural asymmetry) is consistent with previous findings that implicated cerebellar involvement in the motor symptoms of autism.
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On the Application of Quantitative EEG for Characterizing Autistic Brain: A Systematic Review

TL;DR: This review encompasses the key findings of QEEG application in subjects with ASD, in order to assess the relevance of this approach in characterizing brain function and clustering phenotypes and the use of advanced techniques for the increase of the specificity and of spatial localization.