Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Gian Marco Duma"'
Autor:
Marie-Constance Corsi, Emahnuel Troisi Lopez, Pierpaolo Sorrentino, Simone Cuozzo, Alberto Danieli, Paolo Bonanni, Gian Marco Duma
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The epilepsy diagnosis still represents a complex process, with misdiagnosis reaching 40%. We aimed at building an automatable workflow, helping the clinicians in the diagnosis of temporal lobe epilepsy (TLE). We hypothesized that neuronal a
Externí odkaz:
https://doaj.org/article/e7089609c6194aba94b19b863d828340
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Sensors, Vol 24, Iss 9, p 2863 (2024)
The recent scientific literature abounds in proposals of seizure forecasting methods that exploit machine learning to automatically analyze electroencephalogram (EEG) signals. Deep learning algorithms seem to achieve a particularly remarkable perform
Externí odkaz:
https://doaj.org/article/193617c8dce04f588d7c7094fdadf3cb
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract The possibility of predicting the specific features of forthcoming environmental events is fundamental for our survival since it allows us to proactively regulate our behaviour, enhancing our chance of survival. This is particularly crucial
Externí odkaz:
https://doaj.org/article/c93712110329474d934a20a0bb20811b
Autor:
Martina Baggio, Alberto Danieli, Cristiano Crescentini, Gian Marco Duma, Martina Da Rold, Sara Baldini, Eric Pascoli, Lisa Antoniazzi, Alec Vestri, Franco Fabbro, Paolo Bonanni
Publikováno v:
Brain Sciences, Vol 13, Iss 11, p 1526 (2023)
Although relatively specific anatomo-electro-clinical features of temporal lobe epilepsy (TLE) with bilateral ictal involvement (bitemporal epilepsy—BTLE) have been described, differentiating between BTLE and unilateral TLE (UTLE) remains challengi
Externí odkaz:
https://doaj.org/article/ec87e6f2fb3c42e2b9dd048c4d5b5ff4
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0281417 (2023)
Adaptive cognitive control (CC), the ability to adjust goal-directed behavior according to changing environmental demand, can be instantiated bottom-up by implicit knowledge, including temporal predictability of task-relevant events. In S1-S2 tasks,
Externí odkaz:
https://doaj.org/article/93625232a5704579b8b52edcc380ad91
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4262 (2023)
There is an increasing interest in applying artificial intelligence techniques to forecast epileptic seizures. In particular, machine learning algorithms could extract nonlinear statistical regularities from electroencephalographic (EEG) time series
Externí odkaz:
https://doaj.org/article/3bed75083be24e7ab6e551959c5f5a2f
Publikováno v:
F1000Research, Vol 9 (2021)
Machine learning approaches have been fruitfully applied to several neurophysiological signal classification problems. Considering the relevance of emotion in human cognition and behaviour, an important application of machine learning has been found
Externí odkaz:
https://doaj.org/article/81e12b46a1f049de8d36af2892f4622f
Autor:
Giovanni Mento, Lisa Toffoli, Letizia Della Longa, Teresa Farroni, Fiorella Del Popolo Cristaldi, Gian Marco Duma
Publikováno v:
Brain Sciences, Vol 12, Iss 8, p 1074 (2022)
Preterm birth is a neurodevelopmental risk condition often associated with cognitive control (CC) impairment. Recent evidence showed that CC can be implicitly adapted through associative learning. In the present study we investigated the ability to f
Externí odkaz:
https://doaj.org/article/30789e90a12d4f16a71ca8908ed3bd67
Publikováno v:
Brain Sciences, Vol 11, Iss 11, p 1513 (2021)
In a recent study, we used the dynamic temporal prediction (DTP) task to demonstrate that the capability to implicitly adapt motor control as a function of task demand is grounded in at least three dissociable neurofunctional mechanisms: expectancy i
Externí odkaz:
https://doaj.org/article/82546a4c9024464d8e8774d500bdefcb
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0170370 (2017)
The study of neural pre-stimulus or "anticipatory" activity opened a new window for understanding how the brain actively constructs the forthcoming reality. Usually, experimental paradigms designed to study anticipatory activity make use of stimuli.
Externí odkaz:
https://doaj.org/article/8ab2c3b855384db29490ef959d89bef2