Major Depressive Disorder, Quantitative EEG (qEEG), Suicide
Conditions
Keywords
Suicide, Major Depression, quantitative EEG (qEEG)
Brief summary
This study will try to provide a better understanding of the psychological, cognitive and electrophysiological factors that contribute to suicide in depressed patients.
Detailed description
Objectives: 1. To investigate the ability of qEEG to suspect suicidal potential in patients diagnosed with major depression. 2. To test the ability of some psychological and cognitive elements in determining the likelihood of suicide in such patients. 3. To give an objective and more reliable method than traditional questionnaires to assess the seriousness of suicidal ideations in patients suffering from depression who usually don't reveal their actual intentions.
Interventions
1. Both groups will undergo evaluation of depression severity using Beck Depression Inventory Scale-II (Arabic Version) 2. Both groups will be assessed for psychological & cognitive contributes respectively using: A. Connor and Davidson Scale for resilience (Arabic Version) B. The scale of Islamic Religiosity Attitude (SIRA) 3. Both groups will do Quantitative EEG (qEEG) to detect electrical, functional and brain mapping changes {Using Neurovirtual BW III, Florida, USA) 4. The quantitative analysis of EEG will focus on the following functions: Histogram, Topography, Spectrum Analysis, Spectral Differences, Propagation, Positional Diagram, Medium Amplitude, Ranges of Absolute Frequencies, Ranges of Relative Frequencies, CSA, Spectrum, and CSA Compressed.
Sponsors
Study design
Eligibility
Inclusion criteria
* Age between 16 and 65 years * Both males and females will be enrolled * Patients present with the clinical picture of Major depression according to DSM 5 criteria.
Exclusion criteria
* Psychotic features associating depressive episode * Bipolar depression * The condition is due to another medical condition * The condition is substance or medication-induced * Intellectual disability * Comorbid epilepsy
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Electrophysiological attibutes to suicide among depressed patients | 5 months | Quantitative Analysis of EEG tracing from depressed patients experiencing suicidal Ideations |
Countries
Egypt