IRIS PubliCatt
PubliCatt è il repository istituzionale ad accesso aperto dell'Università Cattolica del Sacro Cuore, dove gli utenti autorizzati afferenti all'Ateneo provvedono direttamente e autonomamente a depositare e a rendere visibili le proprie pubblicazioni, inserendo i dati descrittivi del documento stesso ("metadati", quali il titolo, autore, abstract, etc.) e, laddove possibile, il testo della pubblicazione stessa (full-text).
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EnglishGraph theory applications had spread widely in understanding how human cognitive functions are linked to dynamics of neuronal network structure, providing a conceptual frame that can reduce the analytical brain complexity. This review summarizes methodological advances in this field. Electroencephalographic functional network studies in pathophysiological aging will be presented, focusing on neurodegenerative disease −such Alzheimer's disease-aiming to discuss whether network science is changing the traditional concept of brain disease and how network topology knowledge could help in modeling resilience and vulnerability of diseases. Aim of this work is to open discussion on how network model could better describe brain architecture.
Miraglia, F., Vecchio, F., Rossini, P. M., Searching for signs of aging and dementia in EEG through network analysis, <<BEHAVIOURAL BRAIN RESEARCH>>, 2017; 317 (N/A): 292-300. [doi:10.1016/j.bbr.2016.09.057] [http://hdl.handle.net/10807/93780]
| Autori: | ||
| Titolo: | Searching for signs of aging and dementia in EEG through network analysis | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.bbr.2016.09.057 | |
| Indirizzo URL alternativo: | www.elsevier.com/locate/bbr | |
| Data di pubblicazione: | 2017 | |
| Abstract: | Graph theory applications had spread widely in understanding how human cognitive functions are linked to dynamics of neuronal network structure, providing a conceptual frame that can reduce the analytical brain complexity. This review summarizes methodological advances in this field. Electroencephalographic functional network studies in pathophysiological aging will be presented, focusing on neurodegenerative disease −such Alzheimer's disease-aiming to discuss whether network science is changing the traditional concept of brain disease and how network topology knowledge could help in modeling resilience and vulnerability of diseases. Aim of this work is to open discussion on how network model could better describe brain architecture. | |
| Lingua: | Inglese | |
| Rivista: | ||
| Citazione: | Miraglia, F., Vecchio, F., Rossini, P. M., Searching for signs of aging and dementia in EEG through network analysis, <<BEHAVIOURAL BRAIN RESEARCH>>, 2017; 317 (N/A): 292-300. [doi:10.1016/j.bbr.2016.09.057] [http://hdl.handle.net/10807/93780] | |
| Appare nelle tipologie: | Articolo in rivista, Nota a sentenza |
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