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

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...

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Veröffentlicht in:Journal of psychopharmacology (Oxford) 2012-05, Vol.26 (5), p.636-643
Hauptverfasser: Méndez, María Andreina, Zuluaga, Pilar, Hornero, Roberto, Gómez, Carlos, Escudero, Javier, Rodríguez-Palancas, Alfonso, Ortiz, Tomás, Fernández, Alberto
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container_issue 5
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container_title Journal of psychopharmacology (Oxford)
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creator Méndez, María Andreina
Zuluaga, Pilar
Hornero, Roberto
Gómez, Carlos
Escudero, Javier
Rodríguez-Palancas, Alfonso
Ortiz, Tomás
Fernández, Alberto
description 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.
doi_str_mv 10.1177/0269881111408966
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subjects Adult and adolescent clinical studies
Age
Age Factors
Antidepressants
Antidepressive Agents - therapeutic use
Biological and medical sciences
Brain
Brain - drug effects
Brain - physiopathology
Clinical outcomes
Depression
Depressive Disorder, Major - drug therapy
Depressive Disorder, Major - physiopathology
Female
Humans
Magnetoencephalography
Male
Medical sciences
Mental depression
Mianserin - analogs & derivatives
Mianserin - therapeutic use
Middle Aged
Mood disorders
Nerve Net - drug effects
Nerve Net - physiopathology
Neural networks
Neurology
Neuropharmacology
Pharmacology. Drug treatments
Psychoanaleptics: cns stimulant, antidepressant agent, nootropic agent, mood stabilizer
Psychoanaleptics: cns stimulant, antidepressant agent, nootropic agent, mood stabilizer..., (alzheimer disease)
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Psychopharmacology
Remission
Sex Factors
Statistical analysis
title Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment
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