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

Andreina Mendez, Maria and Zuluaga, Pilar and Hornero, Roberto and Gomez, Carlos and Escudero, Javier and Rodriguez Palancas, Alfonso and Ortiz, Tomas and 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.

Description

Title: Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment
Author/s:
  • Andreina Mendez, Maria
  • Zuluaga, Pilar
  • Hornero, Roberto
  • Gomez, Carlos
  • Escudero, Javier
  • Rodriguez Palancas, Alfonso
  • Ortiz, Tomas
  • Fernandez Perez, Alberto
Item Type: Article
Título de Revista/Publicación: Journal of Psychopharmacology
Date: May 2011
ISSN: 1461-7285
Volume: 26
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 13660
DC Identifier: http://oa.upm.es/13660/
OAI Identifier: oai:oa.upm.es:13660
DOI: 10.1177/0269881111408966
Official URL: http://jop.sagepub.com/content/26/5/636.abstract
Deposited by: Memoria Investigacion
Deposited on: 21 Nov 2012 09:50
Last Modified: 21 Apr 2016 12:59
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