Cognitive, Psychological and Electrophysiological Attributes to Suicide Among Depressed Patients

Study Overview
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Brief Summary
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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
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Objectives: To investigate the ability of qEEG to suspect suicidal potential in patients diagnosed with major depression. To test the ability of some psychological and cognitive elements in determining the likelihood of suicide in such patients. 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.

Official Title
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Cognitive, Psychological and Electrophysiological Attributes to Suicide Among Depressed Patients

Conditions
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Suicide, Major Depressive Disorder, Quantitative EEG (qEEG)

Intervention / Treatment
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* Diagnostic Test: Quantitative EEG


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 16 Years
Maximum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Study Group (MDD with SIs)<br>25 Egyptian patients diagnosed with major depression (with suicidal ideations) | Diagnostic Test: Quantitative EEG<br>* Both groups will undergo evaluation of depression severity using Beck Depression Inventory Scale-II (Arabic Version) 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) Both groups will do Quantitative EEG (qEEG) to detect electrical, functional and brain mapping changes {Using Neurovirtual BW III, Florida, USA) 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.<br>* Other names: Scale of Islamic Religiosity Attitude (SIRA);|
| Control group (MDD without SIs)<br>25 Egyptian patients diagnosed with major depression (without suicidal ideations) | Diagnostic Test: Quantitative EEG<br>* Both groups will undergo evaluation of depression severity using Beck Depression Inventory Scale-II (Arabic Version) 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) Both groups will do Quantitative EEG (qEEG) to detect electrical, functional and brain mapping changes {Using Neurovirtual BW III, Florida, USA) 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.<br>* Other names: Scale of Islamic Religiosity Attitude (SIRA);|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Electrophysiological attibutes to suicide among depressed patients | Quantitative Analysis of EEG tracing from depressed patients experiencing suicidal Ideations | 5 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Suicide, Major Depression, quantitative EEG (qEEG)