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J Psychiatr Res ; 108: 34-39, 2019 01.
Artigo em Inglês | MEDLINE | ID: mdl-30448695

RESUMO

EEG measures of arousal have been suggested as diagnostic and predictive biomarkers for major depression. The aim of the present study was to examine whether self-rated depression severity in SSRI-medicated patients with major depression (MD) is associated with EEG measures of brain arousal. Based on previous studies, we expected that a higher level of brain arousal and a slower arousal decline during a 15-min EEG recording are associated with higher symptom severity as assessed with the Beck Depression Inventory (BDI) at the time of the EEG recording. EEGs of 78 MD patients and 46 healthy controls were analyzed. Brain arousal was assessed using the Vigilance Algorithm Leipzig (VIGALL 2.1). Based on automatically classified 1-s segments (EEG-vigilance Stages 0, A1, A2, A3, B1, B2/3 or C) we computed indices to assess the level (mean EEG-vigilance) and the decline of arousal (slope index) during the 15-min resting state EEG under eyes-closed condition. We found that a higher arousal level and a slower arousal decline corresponded to higher severity of depressive symptoms (rho = 0.238, p = .018; and rho = 0.236; p = .019). Self-rated non-remitters (BDI>12) had a higher arousal level (mean EEG-vigilance: t76 = -2.19, p = .016) and slower arousal decline (slope index: Z = -2.08, p = .019) during the 15-min recording as compared to remitters. Similar results were obtained between non-remitters and healthy controls (mean EEG-vigilance: t102 = -2.75, p = .004; slope index: Z = -1.92, p = .028), but not between remitters and controls (p > .260). The findings support the model that brain arousal regulation plays an important role in the pathophysiology and treatment of MD.


Assuntos
Nível de Alerta/efeitos dos fármacos , Encéfalo/efeitos dos fármacos , Transtorno Depressivo Maior/diagnóstico , Transtorno Depressivo Maior/tratamento farmacológico , Eletroencefalografia , Inibidores Seletivos de Recaptação de Serotonina/uso terapêutico , Adolescente , Adulto , Algoritmos , Nível de Alerta/fisiologia , Encéfalo/fisiopatologia , Estudos Transversais , Transtorno Depressivo Maior/fisiopatologia , Transtorno Depressivo Resistente a Tratamento/diagnóstico , Transtorno Depressivo Resistente a Tratamento/fisiopatologia , Diagnóstico por Computador , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Escalas de Graduação Psiquiátrica , Estudos Retrospectivos , Adulto Jovem
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