Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span.
Med Eng Phys
; 37(11): 1082-90, 2015 Nov.
Article
en En
| MEDLINE
| ID: mdl-26475494
ABSTRACT
In this study, we present a method for measuring functional magnetic resonance imaging (fMRI) signal complexity using fuzzy approximate entropy (fApEn) and compare it with the established sample entropy (SampEn). Here we use resting state fMRI dataset of 86 healthy adults (41 males) with age ranging from 19 to 85 years. We expect the complexity of the resting state fMRI signals measured to be consistent with the Goldberger/Lipsitz model for robustness where healthier (younger) and more robust systems exhibit more complexity in their physiological output and system complexity decrease with age. The mean whole brain fApEn demonstrated significant negative correlation (r = -0.472, p<0.001) with age. In comparison, SampEn produced a non-significant negative correlation (r = -0.099, p = 0.367). fApEn also demonstrated a significant (p < 0.05) negative correlation with age regionally (frontal, parietal, limbic, temporal and cerebellum parietal lobes). There was no significant correlation regionally between the SampEn maps and age. These results support the Goldberger/Lipsitz model for robustness and have shown that fApEn is potentially a sensitive new method for the complexity analysis of fMRI data.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Encéfalo
/
Mapeo Encefálico
/
Envejecimiento
/
Imagen por Resonancia Magnética
/
Lógica Difusa
Tipo de estudio:
Diagnostic_studies
/
Evaluation_studies
Límite:
Adult
/
Aged
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Aged80
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Female
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Humans
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Male
/
Middle aged
Idioma:
En
Revista:
Med Eng Phys
Asunto de la revista:
BIOFISICA
/
ENGENHARIA BIOMEDICA
Año:
2015
Tipo del documento:
Article