Major Depression With Comorbid Anxiety Symptoms

This study aims to investigate the neurophysiological and inflammatory changes associated with electroconvulsive therapy (ECT) in patients diagnosed with Major Depressive Disorder who are resistant to at least two antidepressant treatments, using microstate analysis derived from resting-state electroencephalography (EEG) recordings. Within this scope, EEG recordings obtained before and after ECT will be compared to determine the relationships between changes in microstate parameters and inflammatory marker levels, clinical variables, and psychometric scale scores reflecting clinical improvement. Peripheral blood samples collected from the same patient group will be analyzed for complete blood count parameters as well as levels of interleukin-1 alpha (IL-1α), interleukin-1 beta (IL-1β), interleukin-2 (IL-2), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), soluble glycoprotein 130 (sgp-130), soluble interleukin-6 receptor (sIL-6R), interferon gamma-induced protein 10 kDa (IP-10), and C-reactive protein (CRP). In addition, inflammatory indices, including the Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Monocyte-to-Lymphocyte Ratio (MLR), will be calculated. The association between baseline levels of these biomarkers and treatment response will be evaluated. Moreover, changes in biomarker levels following ECT will be statistically examined in relation to clinical scale scores and EEG microstate parameters. Although microstate analysis and inflammatory biomarkers have each been extensively investigated in psychiatric disorders, studies evaluating these two biomarkers together, particularly with the inclusion of healthy control participants, remain limited. In this regard, the present study aims to evaluate the effects of ECT on patients with treatment-resistant depression using objective neurophysiological indicators, to contribute to the understanding of the pathophysiology of depression at the level of brain networks, and to provide a scientific basis for the development of personalized treatment approaches in the future.

This study aims to investigate the neurophysiological and inflammatory changes associated with electroconvulsive therapy (ECT) in older age patients diagnosed with Major Depressive Episode, Major Depression, and Bipolar Disorder, using microstate analysis derived from resting-state electroencephalography (EEG) recordings. Within this scope, EEG recordings obtained before and after ECT will be compared to determine the relationships between changes in microstate parameters and inflammatory marker levels, clinical variables, and psychometric scale scores reflecting clinical improvement. Peripheral blood samples collected from the same patient group will be analyzed for complete blood count parameters as well as levels of interleukin-1 alpha (IL-1α), interleukin-1 beta (IL-1β), interleukin-2 (IL-2), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), soluble glycoprotein 130 (sgp-130), soluble interleukin-6 receptor (sIL-6R), interferon gamma-induced protein 10 kDa (IP-10), and C-reactive protein (CRP). In addition, inflammatory indices, including the Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Monocyte-to-Lymphocyte Ratio (MLR), will be calculated. The association between baseline levels of these biomarkers and treatment response will be evaluated. Moreover, changes in biomarker levels following ECT will be statistically examined in relation to clinical scale scores and EEG microstate parameters. Although microstate analysis and inflammatory biomarkers have each been extensively investigated in psychiatric disorders, studies evaluating these two biomarkers together, particularly with the inclusion of healthy control participants, in the older age population remain limited. In this regard, the present study aims to evaluate the effects of ECT on older age patients using objective neurophysiological indicators, contribute to the understanding of the pathophysiology of depression at the level of brain networks, and provide a scientific basis for the development of personalised treatment approaches in the future.

The goal of this clinical trial is to evaluate whether EEG-based neurofeedback targeting the emotion regulation network through swLORETA can improve emotional regulation and reduce symptoms in adults with Major Depressive Disorder (MDD) who have not responded sufficiently to first-line treatments. The main questions it aims to answer are: * Does EEG-neurofeedback improve emotional self-regulation and reduce clinical symptoms in patients with MDD with or without anxiety symptoms? * Are changes in EEG resting-state activity and stress biomarkers (e.g., cortisol) associated with clinical improvement? Researchers will compare an active neurofeedback group, a sham (placebo) neurofeedback group, and a treatment-as-usual control group to see if real-time EEG-neurofeedback leads to greater improvement in mood, emotional regulation, and neurophysiological indicators than placebo or no additional intervention. Participants will: * Receive 10 sessions of either real or sham EEG-neurofeedback (or no sessions in the control group) over 5 weeks. * Complete clinical, psychological, and neurophysiological assessments before (week 0) and after the intervention (week 6). * Provide repeated saliva samples to assess stress-related biomarkers at week 0 and week 6. * Continue their standard pharmacological treatment throughout the study.