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Lino Nobili

Researcher at University of Genoa

Publications -  303
Citations -  10705

Lino Nobili is an academic researcher from University of Genoa. The author has contributed to research in topics: Epilepsy & Medicine. The author has an hindex of 57, co-authored 259 publications receiving 8396 citations. Previous affiliations of Lino Nobili include University of Catania & Istituto Giannina Gaslini.

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Journal ArticleDOI

Sleep disturbances in craniopharyngioma: a challenging diagnosis

TL;DR: In this article, the authors report two cases of patients with craniopharyngioma, who came to their attention due to the occurrence of episodes characterized by psychomotor slowing and afinalistic limb movements, temporal and spatial disorientation, psychOMotor agitation, and oneiric stupor like episodes.
Journal ArticleDOI

Factor structure and ammonia-related modulation of the human retinal oscillatory potentials.

TL;DR: The factor structure further supports the evidence of functional differences between early and late OP waves and conceivably reflects a role of ammonia in the modulation of retinal electrophysiology in physiological conditions and potentially accounts for spontaneous variability in otherwise controlled electrophysics studies.
Journal ArticleDOI

Migrating focal seizures in Autosomal Dominant Sleep-related Hypermotor Epilepsy with KCNT1 mutation.

TL;DR: This research presents a novel and scalable approach called “SmartCard™,” which allows for real-time assessment of the effects of drugs on children’s brains during the natural course of development.
Journal Article

[Shift-work seniority increases the severity of sleep disorders. Comparison of different categories of shift-workers].

TL;DR: In nurses this mathematical description of SDS exceeded the cut-off value after 15 years of shift-work seniority; in police officers it settled asymptotically under the critical value.
Book ChapterDOI

Integrating neural networks and chaotic measurements for modelling epileptic brain

TL;DR: A new integrative technique starting from two different paradigms: Chaos and Neural Networks (NN) is proposed, which has been tested on long term intracerebral stereo-EEG recordings, with very good results.