arXiv subjects

Talya Zeimer

Publications and source records attributed to Talya Zeimer.

3 recordsLinked to original sources

arXiv2025

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report

Chronic stress is a risk factor for cognitive decline and illness, yet reliable individual markers remain limited. We tested whether two single channel high dynamic range EEG biomarkers, ST4 and T2, index stress responses by linking neural activity to validated physiological and subjective measures. Study 1 included 101 adults between 22 and 82 years of age who completed questionnaires on stress, resilience, and burnout, provided salivary cortisol, and performed resting, cognitive load, emotional, and startle conditions. Study 2 included 82 adults between 19 and 42 years who completed the State Trait Anxiety Inventory, underwent heart rate variability monitoring, and performed auditory, stress inducing, and emotional conditions. Correlations were considered meaningful when r was at least 0.30. Results showed that ST4 reflected physiological arousal and cognitive strain. In Study 1, resting ST4 was positively related to cortisol and lower in more resilient participants. In Study 2, ST4 correlated negatively with heart rate variability during stress and recovery. T2 reflected emotional and autonomic regulation. In Study 1, T2 tracked higher cortisol and was lower with greater resilience. In Study 2, T2 was higher with trait anxiety and correlated negatively with heart rate variability during stress and emotional conditions. Together, ST4 and T2 provide complementary portable markers of stress, supporting individualized assessment in clinical and real world contexts.

q-bio.NC↗

arXiv2025

The Evaluation of Breathing 5:5 effect on resilience, stress and balance center measured by Single-Channel EEG

Slow-paced breathing is a promising intervention for reducing anxiety and enhancing emotional regulation through its effects on autonomic and central nervous system function. This study examined the neurophysiological and subjective effects of a 5:5 breathing protocol on stress-related EEG biomarkers using a mobile single-channel EEG system. Thirty-eight healthy adults were randomly assigned to either an intervention group (n = 20), which completed two sessions spaced two weeks apart with daily breathing practice, or a control group (n = 18), which completed one session. In each session, participants underwent an auditory EEG assessment with resting, mental load, and startle conditions. The intervention group also completed a guided breathing session during the first visit and practiced the technique between sessions. EEG biomarkers (ST4, Alpha, Delta, Gamma, VC0) and subjective anxiety levels (STAI) were assessed before and after the intervention. A significant reduction in Gamma power was observed in the intervention group immediately following the first breathing session during mental load (p = .002), indicating acute stress reduction. Across sessions, long-term breathing practice led to increased Alpha and Delta power and reduced ST4 activity, suggesting cumulative improvements in emotional regulation and cognitive efficiency. Correlational analyses revealed that changes in VC0 and Alpha were significantly associated with subjective reports of tension, focus difficulty, and calmness. Guided slow-paced breathing at a 5:5 rhythm produces both immediate and sustained effects on neural markers of stress and cognition, with corresponding improvements in subjective anxiety. These findings support EEG-based monitoring as a scalable method for evaluating breath-based interventions and promoting real-time emotional self-regulation.

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arXiv2023

Evaluation of Parkinsons disease with early diagnosis using single-channel EEG features and auditory cognitive assessment

Parkinsons disease (PD) diagnosis is challenging due to subtle early clinical signs. F-DOPA PET is commonly used for early PD diagnosis. We explore the potential of machine-learning (ML) based EEG features extracted from single-channel EEG during auditory cognitive assessment as a noninvasive, low-cost support for PD diagnosis. The study included data collected from 32 participants who underwent an F-DOPA PET scan as part of their standard treatment and 20 cognitively healthy controls. Participants performed an auditory cognitive assessment recorded with Neurosteer EEG device. Data processing involved wavelet-packet decomposition and ML. First, a prediction model was developed to predict 1/3 of the undisclosed F-DOPA results. Then, generalized linear mixed models were calculated to distinguish between PD and non-PD subjects on the frequency bands and ML-based EEG features (A0 and L1) previously associated with cognitive functions. The prediction model accurately labeled patients with unrevealed scores as positive F-DOPA. Novel EEG feature A0 and the Delta band showed significant separation between study groups, with healthy controls exhibiting higher activity than PD patients. EEG feature L1 activity was significantly lower in resting state compared to high-cognitive load. This effect was absent in the PD group, suggesting that lower activity in resting state is lacking in PD patients. This study successfully demonstrated the ability to separate patients with positive vs. negative F-DOPA PET results with an easy-to-use single-channel EEG during an auditory cognitive assessment. Future longitudinal studies should further explore the potential utility of this tool for early PD diagnosis and as a potential biomarker in PD.

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