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.
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]
Searching for signs of aging and dementia in EEG through network analysis
Miraglia, FrancescaPrimo
;Vecchio, FabrizioSecondo
;Rossini, Paolo MariaUltimo
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.