Literature DB >> 22423551

The quantitative electroencephalogram and the low-resolution electrical tomographic analysis in posttraumatic stress disorder.

Doran Todder1, Joseph Levine, Ahmad Abujumah, Michael Mater, Hagit Cohen, Zeev Kaplan.   

Abstract

The electroencephalogram (EEG) is the recording of the brain electrical activity as measured on the scalp. Using mathematical algorithms, the 3-dimensional (3D) distribution of the electrical potential inside the brain can be calculated. One of the methods to calculate it is the low-resolution electrical tomographic analysis (LORETA). In this research, we seek to find the brain structures that differentiate patients with posttraumatic stress disorder (PTSD) from controls. Ten right-handed consenting adult male patients were recruited from a PTSD clinic. All patients fulfilled Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision [DSM-IV-TR]) criteria for chronic PTSD (duration >2 years.) and were on drug treatment regimens that had been stable for at least 2 months (involving only serotonin reuptake inhibitors [SSRIs] and benzodiazepines).The control group consisted of 10 healthy hospital staff members. All study participants underwent 19 channel EEG measurements according to current standards of practice. All artifact-free EEG strips were examined for spectral as well as LORETA analysis focusing on the theta (4-7 Hz) band which is suggested to reflect the activity of the limbic system. The theta band showed a statistically significant difference (P < .05) between the 2 groups in the right temporal lobe and in both the right and left frontal lobes. Our findings support existing research data obtained via other imaging technologies, which demonstrated structural alterations in the right temporal and frontal areas in PTSD. These results indicate that combining quantitative EEG (QEEG) and the LORETA method, among other methods, may improve the neuroanatomical resolution of EEG data analysis.

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Year:  2012        PMID: 22423551     DOI: 10.1177/1550059411428716

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  10 in total

1.  Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder.

Authors:  Miseon Shim; Chang-Hwan Im; Seung-Hwan Lee; Han-Jeong Hwang
Journal:  Front Neuroinform       Date:  2022-04-26       Impact factor: 3.739

2.  Evaluating the Contribution of EEG Power Profiles to Characterize and Discriminate Posttraumatic Stress Symptom Factors in a Combat-Exposed Population.

Authors:  Christina M Sheerin; Laura M Franke; Steven H Aggen; Ananda B Amstadter; William C Walker
Journal:  Clin EEG Neurosci       Date:  2018-04-03       Impact factor: 1.843

3.  Default Mode Network alterations in alexithymia: an EEG power spectra and connectivity study.

Authors:  Claudio Imperatori; Giacomo Della Marca; Riccardo Brunetti; Giuseppe Alessio Carbone; Chiara Massullo; Enrico Maria Valenti; Noemi Amoroso; Giulia Maestoso; Anna Contardi; Benedetto Farina
Journal:  Sci Rep       Date:  2016-11-15       Impact factor: 4.379

4.  An Integrated Model of Emotional Problems, Beta Power of Electroencephalography, and Low Frequency of Heart Rate Variability after Childhood Trauma in a Non-Clinical Sample: A Path Analysis Study.

Authors:  Min Jin Jin; Ji Sun Kim; Sungkean Kim; Myoung Ho Hyun; Seung-Hwan Lee
Journal:  Front Psychiatry       Date:  2018-01-22       Impact factor: 4.157

5.  Psychotic-Like Symptoms and the Temporal Lobe in Trauma-Related Disorders: Diagnosis, Treatment, and Assessment of Potential Malingering.

Authors:  Francesca L Schiavone; Margaret C McKinnon; Ruth A Lanius
Journal:  Chronic Stress (Thousand Oaks)       Date:  2018-10-18

6.  Spectral decomposition of EEG microstates in post-traumatic stress disorder.

Authors:  Braeden A Terpou; Saurabh B Shaw; Jean Théberge; Victor Férat; Christoph M Michel; Margaret C McKinnon; Ruth A Lanius; Tomas Ros
Journal:  Neuroimage Clin       Date:  2022-07-29       Impact factor: 4.891

7.  Neurobiological response to EMDR therapy in clients with different psychological traumas.

Authors:  Marco Pagani; Giorgio Di Lorenzo; Leonardo Monaco; Andrea Daverio; Ioannis Giannoudas; Patrizia La Porta; Anna R Verardo; Cinzia Niolu; Isabel Fernandez; Alberto Siracusano
Journal:  Front Psychol       Date:  2015-10-27

8.  Increased Frontal Gamma and Posterior Delta Powers as Potential Neurophysiological Correlates Differentiating Posttraumatic Stress Disorder from Anxiety Disorders.

Authors:  Sun-Young Moon; Yoo Bin Choi; Hee Kyung Jung; Yoonji Irene Lee; Soo-Hee Choi
Journal:  Psychiatry Investig       Date:  2018-11-22       Impact factor: 2.505

Review 9.  EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies.

Authors:  Jennifer J Newson; Tara C Thiagarajan
Journal:  Front Hum Neurosci       Date:  2019-01-09       Impact factor: 3.169

10.  Changes in Brain Electrical Activity According to Post-traumatic Stress Symptoms in Survivors of the Sewol Ferry Disaster: A 1-year Longitudinal Study.

Authors:  Sehee Jin; Cheolmin Shin; Changsu Han; Yong-Ku Kim; Jongha Lee; Sang Won Jeon; Seung-Hoon Lee; Young-Hoon Ko
Journal:  Clin Psychopharmacol Neurosci       Date:  2021-08-31       Impact factor: 2.582

  10 in total

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