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ESS - DM - Mestrado Europeu em Tecnologia Médica e Negócios em Saúde

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http://hdl.handle.net/10400.22/18812

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Percorrer ESS - DM - Mestrado Europeu em Tecnologia Médica e Negócios em Saúde por autor "Peña, Sofía García"

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  • EEG biomarkers as predictors of antidepressant treatment response in Major Depressive Disorder
    Publication . Peña, Sofía García; Maia, Gisela; Azevedo, Jacinto
    Major Depressive Disorder (MDD) presents a significant global health challenge, with a substantial proportion of patients failing to achieve adequate remission from current treatments. This highlights a critical need for objective biomarkers to guide personalized therapeutic strategies. Electroencephalography (EEG) offers a promising, noninvasive tool for identifying such markers due to its high temporal resolution and cost-effectiveness. This report reviews the role of EEG biomarkers, particularly theta activity in the rostral anterior cingulate cortex (rACC) and frontal alpha asymmetry (FAA), in predicting antidepressant treatment outcomes. While rACC theta has shown associations with treatment response, and FAA demonstrates gender- and drug-specific predictive value, inconsistencies and small effect sizes in the literature underscore the need for methodological standardization and larger sample sizes. Recent advancements, including polygenic-informed EEG signatures and data-driven approaches, are paving the way for more reliable and clinically relevant biomarkers. The integration of EEG with other objective measures and its application in optimizing non-invasive stimulation treatments like repetitive transcranial magnetic stimulation (rTMS) hold significant potential to improve diagnosis, prognosis, and personalized care for MDD patients globally, ultimately alleviating the burden of this complex neurophysiological disorder.
    2025-09-26Dissertação de mestrado Acesso aberto Ver mais