Neurophysiological correlates of depressive symptoms in young adults: A quantitative EEG study

Lee, Poh Foong; Kan, Donica Pei Xin; Croarkin, Paul E.; Phang, Cheng Kar; Doruk, Deniz

doi:10.1016/j.jocn.2017.09.030

Cited by 46 publications

(24 citation statements)

References 43 publications

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“…Based on EEG recording and analysis for sleep research guidelines [51], Fast Fourier transformations were performed over consecutive 4-sec windows with 2-sec overlap. The absolute power values for each 0.25-Hz bins were averaged to obtain the following frequency bands: slow waves (0.3-1 Hz), delta (1-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), sigma (12-16 Hz), beta1 (14-20 Hz), beta2 (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35), and gamma . While both absolute and relative EEG power can be generated with PSA, using either measures in a study with INS may sometimes lead to similar findings [7].…”

Section: Power Spectral Analysis (Psa)mentioning

confidence: 99%

“…Whilst asymmetry is usually defined as the difference in brain activity between two regions, these results indicate that higher alpha activity is measured in the right hemisphere compared to the left one. Furthermore, asymmetry in alpha power originating from the parietal lobe may also play a role in depressive or anxiety symptoms [23][24][25]. In comorbid depressive and anxiety disorders, anxiety has been found to moderate the relationship between depression and frontal EEG asymmetry [26].…”

Section: Introductionmentioning

confidence: 99%

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Patterns of Intrahemispheric EEG Asymmetry in Insomnia Sufferers: An Exploratory Study

2020

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Individuals with insomnia present unique patterns of electroencephalographic (EEG) asymmetry between homologous regions of each brain hemisphere, yet few studies have assessed asymmetry within the same hemisphere. Increase in intrahemispheric asymmetry during rapid eye movement (REM) sleep in good sleepers (GS) and disruption of REM sleep in insomnia sufferers (INS) both point out that this activity may be involved in the pathology of insomnia. The objective of the present exploratory study was to evaluate and quantify patterns of fronto-central, fronto-parietal, fronto-occipital, centro-parietal, centro-occipital and parieto-occipital intrahemispheric asymmetry in GS and INS, and to assess their association with sleep-wake misperception, daytime anxiety and depressive symptoms, as well as insomnia severity. This paper provides secondary analysis of standard EEG recorded in 43 INS and 19 GS for three nights in a sleep laboratory. Asymmetry measures were based on EEG power spectral analysis within 0.3–60 Hz computed between pairs of regions at frontal, central, parietal and occipital derivations. Repeated-measures ANOVAs were performed to assess group differences. Exploratory correlations were then performed on asymmetry and sleep-wake misperception, as well as self-reported daytime anxiety and depressive symptoms, and insomnia severity. INS presented increased delta and theta F3/P3 asymmetry during REM sleep compared with GS, positively associated with depressive and insomnia complaints. INS also exhibited decreased centro-occipital (C3/O1, C4/O2) and parieto-occipital (P3–O1, P4/O2) theta asymmetry during REM. These findings suggest that INS present specific patterns of intrahemispheric asymmetry, partially related to their clinical symptoms. Future studies may investigate the extent to which asymmetry is related to sleep-wake misperception or memory impairments.

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Section: Power Spectral Analysis (Psa)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Patterns of Intrahemispheric EEG Asymmetry in Insomnia Sufferers: An Exploratory Study

2020

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“…For example, shifts in EEG patterns are evident in depression, however despite recent encouraging reports (e.g. Lee, Kan, Croarkin, Phang, & Doruk, 2018) there remains significant heterogeneity in findings (in part reflecting pathological heterogeneity), and broader utility in MDD remains to be established. Despite considerable research and testing there is no consensus on which biomarkers are sufficiently sensitive and specific to be employed clinically.…”

Section: Immune-neuroendocrine Networkmentioning

confidence: 99%

From feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression

Stapelberg

Pratt

Neumann

et al. 2018

Neuroscience & Biobehavioral Reviews

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“…41 In the case of depression, alpha waves are evaluated, where a quantitatively lower difference is described in people with depression compared to people without depression. 42,43 As well as greater frontal alpha EEG asymmetry in mid-frontal and mid-lateral electrodes (F3/ F4 and F7/F8) was observed in depressed patients. 44 Due to its usefulness, this physiological evaluation implementation is relevant, and it is effective at measuring neuropsychological correlates that identify depression in clinical contexts.…”

mentioning

confidence: 87%

Effectiveness of behavioral activation for depression treatment in medical students: Study protocol for a quasi-experimental design

et al. 2020

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Introduction: Depression is a frequent mood disorder among medical students that can lead to multiple negative consequences at individual and social level (such as academic achievement and interpersonal conflicts) as well as patient care performance. Therefore, the need of depression decreasing treatments in medical students is important. This study is designed to evaluate the effectiveness of the Behavioral Activation Treatment for Depression in a sample of Mexican medical students. Methods: This study will be performed under a quasi-experimental design to verify the effectiveness of the Behavioral Activation Treatment for Depression to reduce depressive symptoms in medical students from two public universities in northwestern Mexico. The participants will be assessed with the Center for Epidemiologic Studies Depression Scale, the Depression Anxiety Stress Scales, the Pittsburgh Sleep Quality Index, and the Plutchik Suicide Risk Scale. In addition to the psychometric assessment, there will be an electroencephalogram evaluation using the EMOTIV (v 1.1) device. Results: A pre-post intervention of 10 Behavioral Activation Treatment for Depression sessions will be implemented. The results of the effectiveness of the Behavioral Activation Treatment for Depression will be analyzed in five measures at pre-post intervention and two follow-ups of 3 and 6 months. Conclusions: This study looks for evidence regarding the efficacy and feasibility of the Behavioral Activation Treatment for Depression in a sample of medical students from two public universities in Mexico with high levels of depression along with stress and anxiety.

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Neurophysiological correlates of depressive symptoms in young adults: A quantitative EEG study

Cited by 46 publications

References 43 publications

Patterns of Intrahemispheric EEG Asymmetry in Insomnia Sufferers: An Exploratory Study

Patterns of Intrahemispheric EEG Asymmetry in Insomnia Sufferers: An Exploratory Study

From feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression

Effectiveness of behavioral activation for depression treatment in medical students: Study protocol for a quasi-experimental design

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