Brain arousal regulation in SSRI-medicated patients with major depression

Ulke, Christine; Wittekind, Dirk Alexander; Spada, Janek; Franik, K.; Jawinski, Philippe; Hensch, Tilman; Hegerl, Ulrich

doi:10.1016/j.jpsychires.2018.11.003

Cited by 11 publications

(13 citation statements)

References 32 publications

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“…In the same vein, EEG results might be compared to results of the H-scale. Interestingly, in line with the findings of Szelenberger and Niemcewicz [9], this EEG-based algorithm has been applied in clinical samples with psychiatric diseases believed to have arousal-related pathophysiologies [37][38][39]. In sum, future studies may further investigate the overlap between subjective scores of the H-Scale and objective measures, both in clinical and nonclinical samples.…”

Section: Discussionsupporting

confidence: 62%

Hyperarousal Scale: Italian Cultural Validation, Age and Gender Differences in a Nonclinical Population

Bruno

Rizzo

Muscatello

et al. 2020

IJERPH

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Objectives. Studies on hyperarousal have increasingly developed in the last decade. Nevertheless, there are still very few valid measures of hyperarousal. The aim of the study is to verify the psychometric properties of the Italian version of the Hyperarousal Scale (H-Scale), in order to provide researchers with a valid measure for the target population. Method. The questionnaire was translated, back-translated, pre-tested, and cross-culturally adapted. Subsequently, the Italian version of the H-Scale, the Anxiety Sensitivity Index (ASI-3) and the Health Survey Questionnaire (SF-36) were administered to 982 adults, 456 males and 526 females, aged from 18 to 80 years (M = 35.61 ± 12.47). Results. Cronbach’s alpha of the translated H-Scale was 0.81. Furthermore, positive correlations with the ASI-3 and negative correlations with the SF-36 emerged. The H-Scale is also sensitive to catch age and gender differences. Conclusions. The Italian version of the H-Scale demonstrated good reliability and validity. Its sufficient discriminative and evaluative psychometric properties provide the theoretical evidence for further application in evidence-based research studies.

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Section: Discussionsupporting

confidence: 62%

Hyperarousal Scale: Italian Cultural Validation, Age and Gender Differences in a Nonclinical Population

Bruno

Rizzo

Muscatello

et al. 2020

IJERPH

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“…In comparison to neuroticism facet 'impulsiveness', our analyses did not reveal indications for a link between neuroticism facet 'depression' and CNS arousal. By applying the Vigilance Algorithm Leipzig, several previous studies provided supportive evidence for an association between clinical depression and enhanced CNS arousal in the resting state (Hegerl et al, 2012;Sander et al, 2018;Schmidt et al, 2016Schmidt et al, , 2017Ulke et al, 2017;Ulke, Tenke, et al, 2019;Ulke, Wittekind, et al, 2019;Wittekind et al, 2016). Although the present study included subjects without a current depression diagnosis, it can be assumed that alterations in CNS arousal occur in both the normal and pathological range of human behavior.…”

Section: Discussionsupporting

confidence: 56%

“…Major depression, in contrast, is postulated to be characterized by enhanced and hyperstable arousal, which is behaviorally expressed in avoidance of additional external stimulation. Noteworthy, by applying VIGALL, a number of empirical studies addressing arousal in depressive, bipolar, and ADHD patients have provided supportive evidence for the assumptions of the arousal regulation model (Hegerl et al, 2012;Strauß et al, 2018;Ulke et al, 2017;Ulke, Wittekind, et al, 2019;Wittekind et al, 2016). In addition, VIGALL has been validated in an fMRI and PET study (Guenther et al, 2011;Olbrich et al, 2009), against evoked potentials and parameters of the autonomous nervous system (Huang et al, 2017(Huang et al, , 2018Olbrich et al, 2011), against the Multiple Sleep Latency Test (Olbrich et al, 2015), and in a large study addressing the agreement with subjective ratings (Jawinski et al, 2017).…”

mentioning

confidence: 88%

“…This may especially affect individuals with high levels of neuroticism, who have been proposed to be more vulnerable towards stress. Notably, enhanced arousal levels in neurotic individuals would also tie in with the substantial genetic overlap demonstrated between neuroticism and major depression (Baselmans et al, 2019;Lo et al, 2017), with the latter having repeatedly been linked to enhanced and 'hyperstable' CNS arousal levels in the resting state (Hegerl, Wilk, Olbrich, Schoenknecht, & Sander, 2012;Sander, Schmidt, Mergl, Schmidt, & Hegerl, 2018;Schmidt et al, 2016Schmidt et al, , 2017Ulke et al, 2017;Ulke, Tenke, et al, 2019;Ulke, Wittekind, et al, 2019). Despite these converging lines of research, available EEG studies…”

Section: Introductionmentioning

confidence: 99%

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The Big Five personality traits and CNS arousal in the resting state

Jawinski

Markett

Sander

et al. 2020

Preprint

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Based on Eysenck's pioneering work, CNS arousal has long been considered an encouraging biological candidate that may explain individual differences in human personality. Yet, results from empirical studies remained inconclusive. Notably, the vast majority of published results have been derived from small samples, and EEG alpha power has usually served as exclusive indicator for CNS arousal. In this study, we selected N = 468 individuals of the LIFE-Adult cohort and investigated the associations between the Big Five personality traits and CNS arousal by using the low-resolution electromagnetic tomography-based analysis tool VIGALL. Our analyses revealed that subjects who reported higher levels of extraversion and openness to experience, respectively, exhibited lower levels of CNS arousal in the resting state. Bayesian and frequentist analysis results were especially convincing for openness to experience. Among the lower-order personality traits, we obtained strongest evidence for neuroticism facet 'impulsivity' and reduced CNS arousal. We regard these findings as well in line with the postulations of Eysenck and Zuckerman and consistent with the assumptions of the 'arousal regulation model'. Our results also agree with meta-analytically derived effect sizes in the field of individual differences research, highlighting the need for large studies with at least several hundreds of subjects.

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“…While most individuals show progressive declines to lower EEG-vigilance stages (i.e., drowsy or sleepy) during the resting state EEG, others remain in a state of high arousal (i.e., alert or hypervigilant) throughout the recording. Such hyperarousal is a frequent finding in medicated and unmedicated patients with MD [ 24 , 25 , 26 , 27 ], and it has been shown to correlate with symptom severity in MD patients [ 27 ]. In addition, at the gene level, a genome-wide association study (GWAS) revealed significant evidence of an association of brain arousal with TMEM159, with other GWAS analyses and gene expression data suggesting a role of TMEM159 in MD [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Fatigue in Cancer and Neuroinflammatory and Autoimmune Disease: CNS Arousal Matters

et al. 2020

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The term fatigue is not only used to describe a sleepy state with a lack of drive, as observed in patients with chronic physical illnesses, but also a state with an inhibition of drive and central nervous system (CNS) hyperarousal, as frequently observed in patients with major depression. An electroencephalogram (EEG)-based algorithm has been developed to objectively assess CNS arousal and to disentangle these pathophysiologically heterogeneous forms of fatigue. The aim of this study was to test the hypothesis that fatigued patients with CNS hyperarousal score higher on depressive symptoms than those without this neurophysiological pattern. Methods: Subjects with fatigue (Multidimensional Fatigue Inventory sum-score > 40) in the context of cancer, neuroinflammatory, or autoimmune diseases were drawn from the 60+ cohort of the Leipzig Research Center for Civilization Diseases. CNS arousal was assessed by automatic EEG-vigilance stage classification using the Vigilance Algorithm Leipzig (VIGALL 2.1) based on 20 min EEG recordings at rest with eyes closed. Depression was assessed by the Inventory of Depressive Symptomatology (IDS-SR). Results: Sixty participants (33 female; median age: 67.5 years) were included in the analysis. As hypothesized, fatigued patients with CNS hyperarousal had higher IDS-SR scores than those without hyperarousal (F1,58 = 18.34; p < 0.0001, η2 = 0.240). Conclusion: hyperaroused fatigue in patients with chronic physical illness may be a sign of comorbid depression.

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Brain arousal regulation in SSRI-medicated patients with major depression

Cited by 11 publications

References 32 publications

Hyperarousal Scale: Italian Cultural Validation, Age and Gender Differences in a Nonclinical Population

Hyperarousal Scale: Italian Cultural Validation, Age and Gender Differences in a Nonclinical Population

The Big Five personality traits and CNS arousal in the resting state

Fatigue in Cancer and Neuroinflammatory and Autoimmune Disease: CNS Arousal Matters

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