Publications by authors named "L Frassineti"

Article Synopsis
  • Genetic syndromes have been extensively studied for their clinical signs and underlying mechanisms, but gaps remain in understanding specific aspects like vocal production in conditions such as Cri du chat syndrome (CdCS).
  • A study aimed to analyze the vocal characteristics of 29 CdCS patients aged 4 to 21 by recording their pronunciations of the vowels [a], [i], and [u], as well as counting from 1 to 10.
  • Results showed notable differences in vocal qualities based on age and gender, with older males exhibiting the most pronounced roughness and asthenia, highlighting the link between voice production and biological or clinical traits.
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This study delves into functional brain-heart interplay (BHI) dynamics during interictal periods before and after seizure events in focal epilepsy. Our analysis focuses on elucidating the causal interaction between cortical and autonomic nervous system (ANS) oscillations, employing electroencephalography and heart rate variability series. The dataset for this investigation comprises 47 seizure events from 14 independent subjects, obtained from the publicly available Siena Dataset.

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Perceptual and statistical evidence has highlighted voice characteristics of individuals affected by genetic syndromes that differ from those of normophonic subjects. In this paper, we propose a procedure for systematically collecting such pathological voices and developing AI-based automated tools to support differential diagnosis. Guidelines on the most appropriate recording devices, vocal tasks, and acoustical parameters are provided to simplify, speed up, and make the whole procedure homogeneous and reproducible.

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This work reports on physiological electroencephalographic (EEG) correlates in cognitive and emotional processes within the discrimination between synthetic and real faces visual stimuli. Human perception of manipulated data has been addressed in the literature from several perspectives. Researchers have investigated how the use of deep fakes alters people's ability in face-processing tasks, such as face recognition.

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Article Synopsis
  • Researchers are exploring implicit attitudes toward climate change to better understand public opinion, which is currently unclear.
  • They developed a custom Single-Category Implicit Association Test to evaluate these beliefs, using eye tracking technology to monitor the participants' gaze patterns.
  • Analysis of the eye-tracking data revealed significant differences in reactions to climate change-related stimuli, indicating that eye-tracking could serve as a valuable alternative to traditional methods like electroencephalography for assessing implicit attitudes.
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