Neurophysiological signatures of sensory-processing sensitivity.

Background: Sensory processing sensitivity is mainly captured based on questionnaires and it's neurophysiological basis is largely unknown. As hitherto no electroencephalography (EEG) study has been carried out, the aim of this work was to determine whether the self-reported level of SPS correlates with the EEG activity in different frequency bands. Methods: One hundred fifteen participants were measured with 64-channel EEG during a task-free resting state. After artifact correction, a power spectrum time series was calculated using the Fast Fourier Transform (FFT) for the following frequency bands: Delta: 1-3.5 Hz, theta: 4-7.5 Hz, alpha1: 8-10 Hz, alpha2: 10.5-12 Hz, beta1: 12.5-15 Hz, beta2: 15.5-25 Hz, gamma: 25.5-45 Hz, global: 1-45 Hz. Correlations with the 'Highly Sensitive Person Scale' (HSPS-G) scores were determined. Then, the lowest and the highest 30% of the cohort were contrasted as polar opposites. EEG features were compared between the two groups applying a paired two-tailed t-test. Results: The HSPS-G scores correlated statistically significantly positive with beta 1 and 2, and global EEG power during resting with eyes open, but not during resting with eyes closed. The highly sensitive group revealed higher beta power (4.38 ± 0.32 vs. 4.21 ± 0.17, p = 0.014), higher gamma power (4.21 ± 0.37 vs. 4.00 ± 0.25, p = 0.010), and increased global EEG power (4.38 ± 0.29 vs. 4.25 ± 0.17, p = 0.041). The higher EEG activity in the HSP group was most pronounced in the central, parietal, and temporal region, whereas lower EEG activity was most present in occipital areas. Conclusion: For the first time, neurophysiological signatures associated with SPS during a task free resting state were demonstrated. Evidence is provided that neural processes differ between HSP and non-HSP. During resting with eyes open HSP exhibit higher EEG activity suggesting increased information processing. The findings could be of importance for the development of biomarkers for clinical diagnostics and intervention efficacy evaluation.

Sensory-Processing Sensitivity Is Associated with Increased Neural Entropy.

BACKGROUND: This study aimed at answering the following research questions: (1) Does the self-reported level of sensory-processing sensitivity (SPS) correlate with complexity, or criticality features of the electroencephalogram (EEG)? (2) Are there significant EEG differences comparing individuals with high and low levels of SPS? METHODS: One hundred fifteen participants were measured with 64-channel EEG during a task-free resting state. The data were analyzed using criticality theory tools (detrended fluctuation analysis, neuronal avalanche analysis) and complexity measures (sample entropy, Higuchi's fractal dimension). Correlations with the 'Highly Sensitive Person Scale' (HSPS-G) scores were determined. Then, the cohort's lowest and the highest 30% were contrasted as opposites. EEG features were compared between the two groups by applying a Wilcoxon signed-rank test. RESULTS: During resting with eyes open, HSPS-G scores correlated significantly positively with the sample entropy and Higuchi's fractal dimension (Spearman's ρ = 0.22, p < 0.05). The highly sensitive group revealed higher sample entropy values (1.83 ± 0.10 vs. 1.77 ± 0.13, p = 0.031). The increased sample entropy in the highly sensitive group was most pronounced in the central, temporal, and parietal regions. CONCLUSION: For the first time, neurophysiological complexity features associated with SPS during a task-free resting state were demonstrated. Evidence is provided that neural processes differ between low- and highly-sensitive persons, whereby the latter displayed increased neural entropy. The findings support the central theoretical assumption of enhanced information processing and could be important for developing biomarkers for clinical diagnostics.

[Early detection of major depression in paediatric care: validity of the beck depression inventory-second edition (BDI-II) and the beck depression inventory-fast screen for medical patients (BDI-FS)]. / Früherkennung von Depressionen in der Pädiatrie: Kriteriumsvalidität des Beck Depressions-Inventar Revison (BDI-II) und des Beck Depressions-Inventar-Fast Screen for Medical Patients (BDI-FS).

This study investigates the ability of the Beck Depression Inventory-Second Edition (BDI-II) and the Beck Depression Inventory-Fast Screen for Medical Patients (BDI-FS) to discriminate between depressed and non-depressed youths. 5.7% of 314 adolescents, aged 13-16 years, from paediatric and paediatric surgery clinics were suffering from a Major Depression according to the diagnostic interview Kinder-DIPS. By means of this gold standard Receiver Operating Characteristic curves, the Area Under the Curve (AUC) and the optimal cut-offs were calculated. The validity of BDI-II was excellent (AUC=0.93, sensitivity=0.86 and specificity=0.93 at the optimal cut-off ≥19). The validity of BDI-FS did not differ significantly from BDI-II (AUC=0.92, sensitivity=0.81, specificity=0.90). For the first time we present cut-offs for the German version of BDI-II and the 7-item BDI-FS that are suitable for the early detection of depressed adolescents in paediatric care.

Patient participation in antipsychotic drug choice decisions.

Patient inclusion in antipsychotic drug decisions is recommended by international treatment guidelines. For N=300 in patients with schizophrenia, we analysed patients' preferences for inclusion in decisions and physicians' estimates which patients actually participated in drug choice. Path analysis was used to examine the relationships between patients' preferences/actual participation and clinical variables measured. Forty percent of the patients expressed a wish to participate in clinical decisions. Those patients wishing to participate in medical decisions had less insight into the necessity of treatment. Psychiatrists gave better ratings of the doctor-patient relationship to those patients whom they rated as having participated in their drug choice. These patients had more positive attitudes towards antipsychotic medication. There was no relationship between the desire to participate and actual participation in the drug choice. When working with patients exhibiting poor insight and negative drug attitudes, psychiatrists use authoritative decision-making styles despite the patient's desire to participate.

A meta-analysis of interventions for bereaved children and adolescents.

The main objective of this review was to provide a quantitative and methodologically sound evaluation of existing treatments for bereavement and grief reactions in children and adolescents. Two meta-analyses were conducted: 1 on controlled studies and 1 on uncontrolled studies. The 2 meta-analyses were based on a total of 27 treatment studies published before June 2006. Hedges's g and Cohen's d were used as measures of effect size and a random-effects model was applied. Results yielded small to moderate effect sizes. Interventions for symptomatic or impaired participants tended to show larger effect sizes than interventions for bereaved children and adolescents without symptoms. Promising treatment models were music therapy and trauma/grief-focused school based brief psychotherapy.