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Cognitive, Psychological and Electrophysiological Attributes to Suicide Among Depressed Patients

Cognitive, Psychological and Electrophysiological Attributes to Suicide Among Depressed Patients

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04104698
Enrollment
50
Registered
2019-09-26
Start date
2019-10-01
Completion date
2020-08-01
Last updated
2020-04-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Major Depressive Disorder, Quantitative EEG (qEEG), Suicide

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

DIAGNOSTIC_TESTQuantitative EEG

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

Mansoura University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
16 Years to 65 Years
Healthy volunteers
Yes

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

MeasureTime frameDescription
Electrophysiological attibutes to suicide among depressed patients5 monthsQuantitative Analysis of EEG tracing from depressed patients experiencing suicidal Ideations

Countries

Egypt

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026