| Título: | Brain oscillatory complexity across the life span |
| Autores: | Fernández, Alberto ; Zuluaga Arias, Pilar ; Abásolo, Daniel ; Gómez, Carlos ; Serra González, Anahí María ; Méndez, María Andreína ; Hornero, Roberto |
| Tipo de documento: | texto impreso |
| Editorial: | Elsevier, 2012-11 |
| Dimensiones: | application/pdf |
| Nota general: |
info:eu-repo/semantics/openAccess info:eu-repo/semantics/restrictedAccess |
| Idiomas: | |
| Palabras clave: | Estado = Publicado , Materia = Ciencias: Matemáticas: Estadística aplicada , Materia = Ciencias Biomédicas: Biología , Tipo = Artículo |
| Resumen: |
Objective Considering the increasing use of complexity estimates in neuropsychiatric populations, a normative study is critical to define the ‘normal’ behaviour of brain oscillatory complexity across the life span. Method This study examines changes in resting-state magnetoencephalogram (MEG) complexity – quantified with the Lempel–Ziv complexity (LZC) algorithm – due to age and gender in a large sample of 222 (100 males/122 females) healthy participants with ages ranging from 7 to 84 years. Results A significant quadratic (curvilinear) relationship (p Conclusions These results suggest that the evolution of brain oscillatory complexity across the life span might be considered a new illustration of a ‘normal’ physiological rhythm. Significance Previous and forthcoming clinical studies using complexity estimates might be interpreted from a more complete and dynamical perspective. Pathologies not only cause an ‘abnormal’ increase or decrease of complexity values but they actually ‘break’ the ‘normal’ pattern of oscillatory complexity evolution as a function of age. |
| En línea: | https://eprints.ucm.es/id/eprint/30518/1/Zuluaga04abierto.pdf |
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