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Fabio Pizza

Publications and source records attributed to Fabio Pizza.

3 recordsLinked to original sources

Biting behavior, aggression, and seizures.

PURPOSE: To describe the semiologic features of aggressive behaviors observed in human epileptic seizures with particular reference to the act of biting a conspecific. METHODS: We analyzed the biting behavior (BB) and other aggressive gestures occurring in a group of 11 patients retrospectively selected from >1,000 patients subjected to video-EEG/SEEG monitoring for presurgical evaluation of drug-resistant seizures. RESULTS: Patients displaying BB showed (a) a male sex predominance, (b) heterogeneous etiologies and lesion locations, and (c) seizures involving the frontotemporal regions of both hemispheres. The act of biting was a rapid motor action, lasting approximately 600 ms, occurring in the context of strong emotional arousal, fear, and anger, with various bodily gestures with aggressive connotation. BB was mainly a "reflexive" behavior, in that biting acts were evoked (both during and after seizures) by actions of people in close contact with the patient. The sole intrusion of the examiner's hand in the space near the patient's face was effective in triggering BB. Rarely, self-directed or object-directed biting acts were not triggered by external stimuli. Intracranial data (SEEG) obtained in one subject showed that the amygdala/hippocampal region plus the orbitomedial prefrontal cortex had to be involved by ictal activity to observe BB. CONCLUSIONS: Anatomic and electrophysiologic data in our patients suggest that a model of dual--temporal and frontal--dysfunction could account for the occurrence of ictal/postictal BB. Behavioral data suggest also that BB and related aggressive gestures can be considered as the emergence of instinctive behaviors with an adaptative significance of defense of the peripersonal space.

Adult↗

A driving simulation task: correlations with Multiple Sleep Latency Test.

Sleepiness and driving is a dangerous combination that causes thousands of crashes each year resulting in injury and death. In the last few years, driving simulators have been used to study the performance decrements associated with drowsiness. We correlated performances of a driving simulation task in healthy volunteers in different alertness conditions with objective (MSLT: Multiple Sleep Latency Test) and subjective (SSS: Stanford Sleepiness Scale; VAS: Visual Analogue Scale) sleepiness measurements. The subjects were tested on two days, after a normal night of sleep and after a night of complete sleep deprivation. The study consists of four sessions of MSLT, each one followed by subjective measurements of sleepiness and by a 30 min driving simulation task with a monotonous driving scenario. The parameters that correlate most highly with MSLT are the standard deviation of lane position, the mean RT, crash frequency and exceeding the speed limit frequency. The monotonous driving simulation we adopted showed strong correlations with MSLT and subjective sleepiness scales in healthy subjects and is suitable to evaluate excessive daytime sleepiness in patients.

Adult↗

Reliability of a driving simulation task for evaluation of sleepiness.

Driving Simulators reproduce situations that require tracking and visual searching, the main features of real driving. This study measured the reliability of a monotonous driving scenario to detect the circadian variations of alertness in healthy subjects. Five men and five women underwent a monotonous 30 min driving simulation task every 2 h. Before each driving task subjects completed the Stanford Sleepiness Scale (SSS) and the Visual Analogue Scale (VAS) to correlate the subjective measurements of sleepiness to the objective data of the simulator. Driving performances deteriorated or improved according to the circadian variation of alertness. The scenario is suitable to detect the consequences of sleepiness related to the circadian variations of alertness. The standard deviation of lane position, comparing the differences among the 10 min blocks in each task is the parameter most significant for the evaluation of sleepiness.

Adult↗