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 |
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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. |
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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.</description><identifier>ISSN: 0269-8811</identifier><identifier>EISSN: 1461-7285</identifier><identifier>DOI: 10.1177/0269881111408966</identifier><identifier>PMID: 21708836</identifier><identifier>CODEN: JOPSEQ</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>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</subject><ispartof>Journal of psychopharmacology (Oxford), 2012-05, Vol.26 (5), p.636-643</ispartof><rights>The Author(s) 2012</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Sage Publications Ltd. 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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.</description><subject>Adult and adolescent clinical studies</subject><subject>Age</subject><subject>Age Factors</subject><subject>Antidepressants</subject><subject>Antidepressive Agents - therapeutic use</subject><subject>Biological and medical sciences</subject><subject>Brain</subject><subject>Brain - drug effects</subject><subject>Brain - physiopathology</subject><subject>Clinical outcomes</subject><subject>Depression</subject><subject>Depressive Disorder, Major - drug therapy</subject><subject>Depressive Disorder, Major - physiopathology</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetoencephalography</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Mental depression</subject><subject>Mianserin - analogs & derivatives</subject><subject>Mianserin - therapeutic use</subject><subject>Middle Aged</subject><subject>Mood disorders</subject><subject>Nerve Net - drug effects</subject><subject>Nerve Net - physiopathology</subject><subject>Neural networks</subject><subject>Neurology</subject><subject>Neuropharmacology</subject><subject>Pharmacology. Drug treatments</subject><subject>Psychoanaleptics: cns stimulant, antidepressant agent, nootropic agent, mood stabilizer</subject><subject>Psychoanaleptics: cns stimulant, antidepressant agent, nootropic agent, mood stabilizer..., (alzheimer disease)</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Psychopharmacology</subject><subject>Remission</subject><subject>Sex Factors</subject><subject>Statistical analysis</subject><issn>0269-8811</issn><issn>1461-7285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkdtLHDEUxkNR6rrtu08yIAVfxiaTy2R8K0u9gOCLfR7OJCclMrcm2eL-982621YEwUBIyPc7X5LzEXLC6AVjdf2VVqrRmuUhqG6U-kAWTChW1pWWB2SxlcutfkSOY3yklCmh5EdyVLGaas3VguBqGuYen3zaFDBCv4k-FpMr4jyNCUac1rHoAvixAJP874xdFugcmvSMWZwDxuinrI82z-T3R3lbpICQBhzTJ3LooI_4eb8uyY-r7w-rm_Lu_vp29e2uNJKrVALlnbYMa2ed4rW21naOMStFR7XRClwnhIPOSNSVRQMVKMmYRIquqhvkS3K-853D9GuNMbWDjwb7fveTltGKaqFVo96BMs1FTUWV0bNX6OO0DrlZmZKi4VIovjWkO8qEKcaArp2DHyBsslW7Tat9nVYuOd0br7sB7b-Cv_Fk4MsegGigdwFG4-N_TjYiN45nrtxxEX7ii9e9dfEfBUiq5w</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Méndez, María Andreina</creator><creator>Zuluaga, Pilar</creator><creator>Hornero, Roberto</creator><creator>Gómez, Carlos</creator><creator>Escudero, Javier</creator><creator>Rodríguez-Palancas, Alfonso</creator><creator>Ortiz, Tomás</creator><creator>Fernández, Alberto</creator><general>SAGE Publications</general><general>Sage Publications</general><general>Sage Publications Ltd</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>20120501</creationdate><title>Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment</title><author>Méndez, María Andreina ; Zuluaga, Pilar ; Hornero, Roberto ; Gómez, Carlos ; Escudero, Javier ; Rodríguez-Palancas, Alfonso ; Ortiz, Tomás ; Fernández, Alberto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-a03b8d1e7fdf6378dddbf11d54b08c86afb44fabc5e82deca2a65115e0ef279e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult and adolescent clinical studies</topic><topic>Age</topic><topic>Age Factors</topic><topic>Antidepressants</topic><topic>Antidepressive Agents - therapeutic use</topic><topic>Biological and medical sciences</topic><topic>Brain</topic><topic>Brain - drug effects</topic><topic>Brain - physiopathology</topic><topic>Clinical outcomes</topic><topic>Depression</topic><topic>Depressive Disorder, Major - drug therapy</topic><topic>Depressive Disorder, Major - physiopathology</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetoencephalography</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Mental depression</topic><topic>Mianserin - analogs & derivatives</topic><topic>Mianserin - therapeutic use</topic><topic>Middle Aged</topic><topic>Mood disorders</topic><topic>Nerve Net - drug effects</topic><topic>Nerve Net - physiopathology</topic><topic>Neural networks</topic><topic>Neurology</topic><topic>Neuropharmacology</topic><topic>Pharmacology. 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Psychiatry</topic><topic>Psychopharmacology</topic><topic>Remission</topic><topic>Sex Factors</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Méndez, María Andreina</creatorcontrib><creatorcontrib>Zuluaga, Pilar</creatorcontrib><creatorcontrib>Hornero, Roberto</creatorcontrib><creatorcontrib>Gómez, Carlos</creatorcontrib><creatorcontrib>Escudero, Javier</creatorcontrib><creatorcontrib>Rodríguez-Palancas, Alfonso</creatorcontrib><creatorcontrib>Ortiz, Tomás</creatorcontrib><creatorcontrib>Fernández, Alberto</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of psychopharmacology (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Méndez, María Andreina</au><au>Zuluaga, Pilar</au><au>Hornero, Roberto</au><au>Gómez, Carlos</au><au>Escudero, Javier</au><au>Rodríguez-Palancas, Alfonso</au><au>Ortiz, Tomás</au><au>Fernández, Alberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Complexity analysis of spontaneous brain activity: effects of depression and antidepressant treatment</atitle><jtitle>Journal of psychopharmacology (Oxford)</jtitle><addtitle>J Psychopharmacol</addtitle><date>2012-05-01</date><risdate>2012</risdate><volume>26</volume><issue>5</issue><spage>636</spage><epage>643</epage><pages>636-643</pages><issn>0269-8811</issn><eissn>1461-7285</eissn><coden>JOPSEQ</coden><abstract>Magnetoencephalography (MEG) allows the real-time recording of neural activity and oscillatory activity in distributed neural networks. 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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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