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Título:
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Complexity analysis of spontaneous brain activity: Effects of depression and antidepressant treatment
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Autores:
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Méndez, María Andreína ;
Zuluaga Arias, Pilar ;
Hornero, Roberto ;
Gómez, Carlos ;
Escudero, Javier ;
Rodríguez Palancas, Alfonso ;
Ortiz, Tomás ;
Fernández, Alberto
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Tipo de documento:
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texto impreso
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Editorial:
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SAGE, 2012-05
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Estadística aplicada
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Materia = Ciencias Biomédicas: Biología
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Tipo = Artículo
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Resumen:
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Magnetoencephalography (MEG) allows the real-time recording of neural activity and oscillatory activity in distributed neural networks. We applied a non-linear complexity analysis to resting-state neural activity as measured using whole-head MEG. Recordings were obtained from 20 unmedicated patients with major depressive disorder and 19 matched healthy controls. Subsequently, after 6 months of pharmacological treatment with the antidepressant mirtazapine 30 mg/day, patients received a second MEG scan. A measure of the complexity of neural signals, the Lempel–Ziv Complexity (LZC), was derived from the MEG time series. We found that depressed patients showed higher pre-treatment complexity values compared with controls, and that complexity values decreased after 6 months of effective pharmacological treatment, although this effect was statistically significant only in younger patients. The main treatment effect was to recover the tendency observed in controls of a positive correlation between age and complexity values. Importantly, the reduction of complexity with treatment correlated with the degree of clinical symptom remission. We suggest that LZC, a formal measure of neural activity complexity, is sensitive to the dynamic physiological changes observed in depression and may potentially offer an objective marker of depression and its remission after treatment.
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En línea:
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https://eprints.ucm.es/id/eprint/30520/1/Zuluaga05OA.pdf
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