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, Francesca
Primo
;
Vecchio, Fabrizio
Secondo
;
Rossini, Paolo Maria
Ultimo
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.
2017
Inglese
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]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/93780
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