Electrocorticographic Activation Patterns of Electroencephalographic Microstates.

Electroencephalography (EEG) microstates are short successive periods of stable scalp field potentials representing spontaneous activation of brain resting-state networks. EEG microstates are assumed to mediate local activity patterns. To test this hypothesis, we correlated momentary global EEG microstate dynamics with the local temporo-spectral evolution of electrocorticography (ECoG) and stereotactic EEG (SEEG) depth electrode recordings. We hypothesized that these correlations involve the gamma band. We also hypothesized that the anatomical locations of these correlations would converge with those of previous studies using either combined functional magnetic resonance imaging (fMRI)-EEG or EEG source localization. We analyzed resting-state data (5 min) of simultaneous noninvasive scalp EEG and invasive ECoG and SEEG recordings of two participants. Data were recorded during the presurgical evaluation of pharmacoresistant epilepsy using subdural and intracranial electrodes. After standard preprocessing, we fitted a set of normative microstate template maps to the scalp EEG data. Using covariance mapping with EEG microstate timelines and ECoG/SEEG temporo-spectral evolutions as inputs, we identified systematic changes in the activation of ECoG/SEEG local field potentials in different frequency bands (theta, alpha, beta, and high-gamma) based on the presence of particular microstate classes. We found significant covariation of ECoG/SEEG spectral amplitudes with microstate timelines in all four frequency bands (p = 0.001, permutation test). The covariance patterns of the ECoG/SEEG electrodes during the different microstates of both participants were similar. To our knowledge, this is the first study to demonstrate distinct activation/deactivation patterns of frequency-domain ECoG local field potentials associated with simultaneous EEG microstates.

Individual and Work-Related Psychological Characteristics Contributing to Subjective Well-Being in Air Rescue Employees.

OBJECTIVE: Air rescue staff are subject to stressors, including frequent traumatic events, shift work, and unfavorable conditions during rescue missions. We investigated subjective well-being among employees of the Swiss Air-Rescue organization and the potential determining factors, such as sense of coherence, self-esteem, coping, stress, and mental health status. METHODS: All employees (N = 142) received a questionnaire battery composed of the Trier Inventory for the Assessment of Chronic Stress, the Salutogenic Subjective Work Analysis, the Stress Coping Questionnaire, the Health and Stress Questionnaire, the Sense of Coherence Scale 13-item scale, the Inventory for the Measurement of Self-Efficacy and Externality, the Brief Symptom Inventory, the 12-item General Health Questionnaire, and the Posttraumatic Stress Diagnostic Scale. A discriminant analysis was conducted (input: subjective well-being, output: potential determining factors). A total of 48 participants provided complete data. RESULTS: The discriminant analysis was significant (χ2 = 40.80, P < .001; correct classification: 89.4%) and revealed that sense of coherence (F1,45 = 40.46) and self-esteem (F1,45 = 36.20) were the most important discriminating factors for subjective well-being. CONCLUSION: Sense of coherence and self-esteem play an important role in the subjective well-being of emergency and rescue personnel. Fostering these traits should be included in preventive programs.

The Impact of Foehn Wind on Mental Distress among Patients in a Swiss Psychiatric Hospital.

Psychiatric patients are particularly vulnerable to strong weather stimuli, such as foehn, a hot wind that occurs in the alps. However, there is a dearth of research regarding its impact on mental health. This study investigated the impact of foehn wind among patients of a psychiatric hospital located in a foehn area in the Swiss Alps. Analysis was based on anonymized datasets obtained from routine records on admission and discharge, including the Brief Symptom Checklist (BSCL) questionnaire, as well as sociodemographic parameters (age, sex, and diagnosis). Between 2013 and 2020, a total of 10,456 admission days and 10,575 discharge days were recorded. All meteorological data were extracted from the database of the Federal Office of Meteorology and Climatology of Switzerland. We estimated the effect of foehn on the BSCL items using a distributed lag model. Significant differences were found between foehn and non-foehn admissions in obsession-compulsion, interpersonal sensitivity, depression, anxiety, phobic anxiety, paranoid ideation, and general severity index (GSI) (p < 0.05). Our findings suggest that foehn wind events may negatively affect specific mental health parameters in patients. More research is needed to fully understand the impact of foehn's events on mental health.