Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Antonio J. Ibáñez-Molina"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Fractal dimension (FD) has been revealed as a very useful tool in analyzing the changes in brain dynamics present in many neurological disorders. The fractal dimension index (FDI) is a measure of the spatiotemporal complexity of brain activations ext
Externí odkaz:
https://doaj.org/article/6073ab482856481bb110577d3cedb4e5
Autor:
Sergio Iglesias-Parro, María F. Soriano, Antonio J. Ibáñez-Molina, Ana V. Pérez-Matres, Juan Ruiz de Miras
Publikováno v:
Sensors, Vol 23, Iss 21, p 8722 (2023)
Schizophrenia (SZ) is a complex disorder characterized by a range of symptoms and behaviors that have significant consequences for individuals, families, and society in general. Electroencephalography (EEG) is a valuable tool for understanding the ne
Externí odkaz:
https://doaj.org/article/d3a2a767f03d4d40afe9ad175d9d1c99
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
While scientific interest in understanding the grit trait has grown exponentially in recent years, one important gap in the grit literature relates to its biological and neural substrate. In the present study, we adopted a hypotheses-driven approach
Externí odkaz:
https://doaj.org/article/38324fecaa6c4b368c1e8bf2a8bf08f1
Autor:
Antonio J. Ibáñez-Molina, Vanessa Lozano, María. F. Soriano, José. I. Aznarte, Carlos J. Gómez-Ariza, M. T. Bajo
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Introduction: Patients with schizophrenia show cognitive deficits that are evident both behaviourally and with EEG recordings. Recent studies have suggested that non-linear analyses of EEG might more adequately reflect the complex, irregular, non-sta
Externí odkaz:
https://doaj.org/article/459f480e249440c998beac22562b08d2
Publikováno v:
Complexity, Vol 2018 (2018)
The rise of mathematical developments in the theories of consciousness has led to new measures to detect consciousness in a system. The Integrated Information Theory (IIT) is one of the best mathematical rooted attempts to quantify the level of consc
Externí odkaz:
https://doaj.org/article/fa76f36ed9774eebbf49fa79f57c8c6f
Publikováno v:
European Journal of Neuroscience. 57:1748-1762
Schizophrenia has been associated with dysfunction in information integration/ segregation dynamics. One of the neural networks whose role has been most investigated in schizophrenia is the default mode network (DMN). In this study, we have explored
Publikováno v:
Brain Sciences
Volume 11
Issue 7
Brain Sciences, Vol 11, Iss 910, p 910 (2021)
Volume 11
Issue 7
Brain Sciences, Vol 11, Iss 910, p 910 (2021)
A number of studies have focused on brain dynamics underlying mind wandering (MW) states in healthy people. However, there is limited understanding of how the oscillatory dynamics accompanying MW states and task-focused states are characterized in cl
Autor:
J. Navas, Sergio Iglesias-Parro, Adenauer G. Casali, F. Soler, Marcello Massimini, J. Ruiz de Miras, Steven Laureys, Antonio J. Ibáñez-Molina, Francisco J. Esteban, José A. Langa
Publikováno v:
Computer Methods and Programs in Biomedicine. 175:129-137
Background and objective Knowing whether a subject is conscious or not is a current challenge with a deep potential clinical impact. Recent theoretical considerations suggest that consciousness is linked to the complexity of distributed interactions
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Frontiers in Psychology
Frontiers in Psychology, Vol 12 (2021)
instname
Frontiers in Psychology
Frontiers in Psychology, Vol 12 (2021)
This research was financially supported by grants from the Spanish Ministry of Science, Innovation, and Universities and the Andalusian Government (Fondos FEDER): doctoral research grant ES-2016-078667 to NA, A-CTS-111-UGR18 and PGC2018-093786-B-I00
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4a1ba2486a516cec72bead8e8b79b21
http://hdl.handle.net/10481/71886
http://hdl.handle.net/10481/71886
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Frontiers in Neuroscience
Frontiers in Neuroscience
Electroencephalograms (EEG) are one of the most commonly used measures to study brain functioning at a macroscopic level. The structure of the EEG time series is composed of many neural rhythms interacting at different spatiotemporal scales. This int