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Camillo Porcaro

Explore the profile of Camillo Porcaro including associated specialties, affiliations and a list of published articles. Areas
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Articles 83
Citations 1093
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Recent Articles
1.
Vallesi A, Porcaro C, Visalli A, Fasolato D, Rossato F, Busse C, et al.
Clin Neurophysiol . 2024 Oct; 168:43-51. PMID: 39442361
Objective: Complex visual hallucinations (VH) are a core feature of dementia with Lewy bodies (DLB), though they may not occur in all patients. Power spectral density (PSD) analysis of resting-state...
2.
Zanola A, Pup F, Porcaro C, Atzori M
J Neural Eng . 2024 Aug; 21(4). PMID: 39094617
This study aims to address the challenges associated with data-driven electroencephalography (EEG) data analysis by introducing a standardised library called. This library efficiently processes and merges heterogeneous EEG datasets from...
3.
Moaveninejad S, Janes A, Porcaro C
Sensors (Basel) . 2024 Jul; 24(14). PMID: 39065974
Climbing gyms aim to continuously improve their offerings and make the best use of their infrastructure to provide a unique experience for their clients, the climbers. One approach to achieve...
4.
Porcaro C, Diciotti S, Madan C, Marzi C
Front Hum Neurosci . 2024 Jul; 18:1453284. PMID: 39050380
No abstract available.
5.
Porcaro C, Seppi D, Pellegrino G, Dainese F, Kassabian B, Pellegrino L, et al.
Front Neurosci . 2024 Jun; 18:1401068. PMID: 38911599
Objectives: An important challenge in epilepsy is to define biomarkers of response to treatment. Many electroencephalography (EEG) methods and indices have been developed mainly using linear methods, e.g., spectral power...
6.
Olejarczyk E, Cukic M, Porcaro C, Zappasodi F, Tecchio F
Adv Neurobiol . 2024 Mar; 36:285-312. PMID: 38468039
Among the significant advances in the understanding of the organization of the neuronal networks that coordinate the body and brain, their complex nature is increasingly important, resulting from the interaction...
7.
Porcaro C, Moaveninejad S, DOnofrio V, DiIeva A
Adv Neurobiol . 2024 Mar; 36:95-137. PMID: 38468029
Over the past 40 years, from its classical application in the characterization of geometrical objects, fractal analysis has been progressively applied to study time series in several different disciplines. In...
8.
Pascarella A, Bruni V, Armonaite K, Porcaro C, Conti L, Cecconi F, et al.
Front Neurosci . 2024 Feb; 17:1261701. PMID: 38333603
Introduction: The formation and functioning of neural networks hinge critically on the balance between structurally homologous areas in the hemispheres. This balance, reflecting their physiological relationship, is fundamental for learning...
9.
Moaveninejad S, DOnofrio V, Tecchio F, Ferracuti F, Iarlori S, Monteriu A, et al.
Comput Methods Programs Biomed . 2023 Dec; 244:107944. PMID: 38064955
Background And Objective: The brain-computer interface (BCI) technology acquires human brain electrical signals, which can be effectively and successfully used to control external devices, potentially supporting subjects suffering from motor...
10.
Fiorenzato E, Moaveninejad S, Weis L, Biundo R, Antonini A, Porcaro C
Mov Disord . 2023 Dec; 39(2):305-317. PMID: 38054573
Background: Higuchi's fractal dimension (FD) captures brain dynamics complexity and may be a promising method to analyze resting-state functional magnetic resonance imaging (fMRI) data and detect the neuronal interaction complexity...