Int J Neural Syst - A longitudinal EEG study of Alzheimer's disease progression based on a complex network approach.

Tópicos

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Resumo

A complex network approach is combined with time dynamics in order to conduct a space-time analysis applicable to longitudinal studies aimed to characterize the progression of Alzheimer's disease (AD) in individual patients. The network analysis reveals how patient-specific patterns are associated with disease progression, also capturing the widespread effect of local disruptions. This longitudinal study is carried out on resting electroence phalography (EEGs) of seven AD patients. The test is repeated after a three months' period. The proposed methodology allows to extract some averaged information and regularities on the patients' cohort and to quantify concisely the disease evolution. From the functional viewpoint, the progression of AD is shown to be characterized by a loss of connected areas here measured in terms of network parameters (characteristic path length, clustering coefficient, global efficiency, degree of connectivity and connectivity density). The differences found between baseline and at follow-up are statistically significant. Finally, an original topographic multiscale approach is proposed that yields additional results.

Resumo Limpo

complex network approach combin time dynam order conduct spacetim analysi applic longitudin studi aim character progress alzheim diseas ad individu patient network analysi reveal patientspecif pattern associ diseas progress also captur widespread effect local disrupt longitudin studi carri rest electro phalographi eeg seven ad patient test repeat three month period propos methodolog allow extract averag inform regular patient cohort quantifi concis diseas evolut function viewpoint progress ad shown character loss connect area measur term network paramet characterist path length cluster coeffici global effici degre connect connect densiti differ found baselin followup statist signific final origin topograph multiscal approach propos yield addit result

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