Using QEEG parameters (asymmetry, coherence, and P3a Novelty response) to track improvement in depression after choir therapy

Petchkovsky, Leon; Robertson-Gillam, Kirstin; Kropotov, Juri D.; Petchkovsky, Michael

doi:10.5172/jamh.2013.11.3.257

Cited by 15 publications

(8 citation statements)

References 14 publications

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“…These include: Meditation therapy [54,123], Mindfulness-based interventions [124,125], Cognitive Therapy [126], Music therapy [127], Choir therapy [128], Aerobic training [129] and Deep Brain Stimulation [130].…”

Section: The Influence Of Therapeutic Interventions On Frontal Eeg Asmentioning

confidence: 99%

Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues

Jesulola

Sharpley

Bitsika

et al. 2015

Behavioural Brain Research

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Section: The Influence Of Therapeutic Interventions On Frontal Eeg Asmentioning

confidence: 99%

Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues

Jesulola

Sharpley

Bitsika

et al. 2015

Behavioural Brain Research

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“…Significant improvements were found on the principal outcome quality of life measure. Petchkovsky et al (2013) report a controlled study on weekly singing and depression. Participants with "major depressive disorder", were allocated to weekly singing (n ¼ 21) or a control group (n ¼ 11).…”

Section: Singing For People Experiencing Mental Health Challengesmentioning

confidence: 99%

Further evidence that singing fosters mental health and wellbeing: the West Kent and Medway project

Clift

Manship

Stephens

2017

MHSI

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Purpose Clift and Morrison (2011) report that weekly singing over eight months for people with enduring mental health issues led to clinically important reductions in mental distress. The purpose of this paper is to test the robustness of the earlier findings. Design/methodology/approach Four community singing groups for people with mental health issues ran weekly from November 2014 to the end of 2015. Evaluation place over a six-month period using two validated questionnaires: the short Clinical Outcomes in Routine Evaluation (CORE-10) questionnaire, and the Warwick Edinburgh Mental Wellbeing Scale (WEMWBS). Findings In all, 26 participants completed baseline and follow-up questionnaires. CORE-10 scores were significantly reduced, and WEMWBS scores significantly increased. Comparisons with the earlier study found a similar pattern of improvements on CORE items that are part of the “problems” sub-scale in the full CORE questionnaire. There was also evidence from both studies of participants showing clinically important improvements in CORE-10 scores. Research limitations/implications The main limitations of the study are a small sample size and the lack of a randomised control group. Originality/value No attempts have been made previously to directly test the transferability of a singing for health model to a new geographical area and to evaluate outcomes using the same validated measure.

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“…EEG coherence studies in patients with depression showed different results. Some studies for patients with depressive disorder reported reduced coherence values compared to healthy controls [15][16]; other studies showed significantly higher overall or partial coherence in patients with major depressive disorder as compared to controls [17][18][19]. Opposite to those studies, Suhhova et al [20] demonstrated no sig-INTER-AND INTRA-HEMISPHERIC EEG COHERENCE STUDY IN ADULTS WITH NEUROPSYCHIATRIC DISORDERS nificant changes in the EEG coherence between healthy subjects and patients with depression.…”

Section: Introductionmentioning

confidence: 99%

Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders

Markovska-Simoska

Pop‐Jordanova

Pop-Jordanov

2018

Prilozi

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Functional connectivity between different regions of the brain in the resting state has been a recent topic of interest in neurophysiological research. EEG coherence happened to be an useful tool for measuring changes in neuro-psycho-physiological functioning which are not detectable by simply measuring amplitude or power spectra. The aim of our study was to investigate the changes in the EEG coherence in groups of different mental disorders such as: depression, general anxiety disorder, ADHD, Asperger syndrome and headaches, compared to control group. All measures were made in two conditions: eye opened (EO) and eyes closed (EC). The obtained results show that in EO condition there is a significantly lower coherence for delta waves between analyzed groups. For theta coherence only for Asperger syndrome we found lower coherence compared to control group, ADHD and headaches in parietal region (P3-P4). Obtained results for intrahemispheric coherence have shown that there was significantly lower coherence in both conditions for delta and theta bands in almost all sites for Asperger’s syndrome, and opposite increased intrahemispheric coherence for patients with headaches (for delta band in the anterior regions and for theta band in the posterior regions). ADHD patients expressed lower delta inter-hemispheric coherence in frontal regions, and increased coherence of theta in central regions but increased delta coherence in posterior regions only in EO condition. For depressive and anxiety patients we found decreased intrahemispheric coherence for EO condition for delta brain waves all over the cortex. Concerning the coherence in anxiety patients in our current study we have obtained hypo coherence in centro-parieto-occipital region only for delta in inter-hemispheric coherence and also lower delta coherence through the cortex for intrahemispheric coherence. Our findings for interhemispheric hyper coherence in subjects with depression specifically for alpha and beta bands were confirmed in other studies. We suggest that EEG coherence analysis could be a sensitive parameter in the detection of electrophysiological abnormalities in patients with anxiety, depression, ADHD, Asperger syndrome and headaches. These results can confirm the development of QEEG state and trait biomarkers for psychiatric disorders.

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Using QEEG parameters (asymmetry, coherence, and P3a Novelty response) to track improvement in depression after choir therapy

Cited by 15 publications

References 14 publications

Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues

Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues

Further evidence that singing fosters mental health and wellbeing: the West Kent and Medway project

Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders

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