Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment

Andreina Mendez, Maria; Zuluaga, Pilar; Hornero, Roberto; Gomez, Carlos; Escudero, Javier; Rodriguez Palancas, Alfonso; Ortiz, Tomas y Fernandez Perez, Alberto (2011). Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment. "Journal of Psychopharmacology", v. 26 (n. 5); pp. 636-643. ISSN 1461-7285. https://doi.org/10.1177/0269881111408966.

Descripción

Título: Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment
Autor/es:
  • Andreina Mendez, Maria
  • Zuluaga, Pilar
  • Hornero, Roberto
  • Gomez, Carlos
  • Escudero, Javier
  • Rodriguez Palancas, Alfonso
  • Ortiz, Tomas
  • Fernandez Perez, Alberto
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Psychopharmacology
Fecha: Mayo 2011
Volumen: 26
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 13660
Identificador DC: http://oa.upm.es/13660/
Identificador OAI: oai:oa.upm.es:13660
Identificador DOI: 10.1177/0269881111408966
URL Oficial: http://jop.sagepub.com/content/26/5/636.abstract
Depositado por: Memoria Investigacion
Depositado el: 21 Nov 2012 09:50
Ultima Modificación: 21 Abr 2016 12:59
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