EEG Beta band frequency domain evaluation for assessing stress and anxiety in resting, eyes closed, basal conditions

Díaz, M Hernán; Cid, Fernando Maureira; Otárola, Jaime; Rojas, Roberto; Alarcon, O. M.; Cañete, Lucio

doi:10.1016/j.procs.2019.12.075

Cited by 60 publications

(40 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, alpha and beta spectral power have been found to interact (Laufs et al, 2006;Hamid et al, 2010), and both are associated with high levels of mental stress and depression (Hayashi et al, 2009;Alonso et al, 2015;Jena, 2015;Alshargie et al, 2016;Jun and Smitha, 2016;Díaz et al, 2019;Al-Dabass, 2020;de Hemptinne et al, 2021). More specifically, prefrontal beta power in lateral areas was found to be positively associated with depression and anxiety, whereas lateral beta power was negatively associated with mood (de Hemptinne et al, 2021).…”

Section: Limiting Electroencephalographic Asymmetry To the Alpha Oscillationsmentioning

confidence: 99%

Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System

Cannard

Wahbeh

Delorme

2021

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Electroencephalography (EEG) alpha asymmetry is thought to reflect crucial brain processes underlying executive control, motivation, and affect. It has been widely used in psychopathology and, more recently, in novel neuromodulation studies. However, inconsistencies remain in the field due to the lack of consensus in methodological approaches employed and the recurrent use of small samples. Wearable technologies ease the collection of large and diversified EEG datasets that better reflect the general population, allow longitudinal monitoring of individuals, and facilitate real-world experience sampling. We tested the feasibility of using a low-cost wearable headset to collect a relatively large EEG database (N = 230, 22–80 years old, 64.3% female), and an open-source automatic method to preprocess it. We then examined associations between well-being levels and the alpha center of gravity (CoG) as well as trait EEG asymmetries, in the frontal and temporoparietal (TP) areas. Robust linear regression models did not reveal an association between well-being and alpha (8–13 Hz) asymmetry in the frontal regions, nor with the CoG. However, well-being was associated with alpha asymmetry in the TP areas (i.e., corresponding to relatively less left than right TP cortical activity as well-being levels increased). This effect was driven by oscillatory activity in lower alpha frequencies (8–10.5 Hz), reinforcing the importance of dissociating sub-components of the alpha band when investigating alpha asymmetries. Age was correlated with both well-being and alpha asymmetry scores, but gender was not. Finally, EEG asymmetries in the other frequency bands were not associated with well-being, supporting the specific role of alpha asymmetries with the brain mechanisms underlying well-being levels. Interpretations, limitations, and recommendations for future studies are discussed. This paper presents novel methodological, experimental, and theoretical findings that help advance human neurophysiological monitoring techniques using wearable neurotechnologies and increase the feasibility of their implementation into real-world applications.

show abstract

Section: Limiting Electroencephalographic Asymmetry To the Alpha Oscillationsmentioning

confidence: 99%

Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System

Cannard

Wahbeh

Delorme

2021

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…In some cases, high-frequency b waves are regular (Kropotov, 2016) and dominant during inactive, alert mental states (Mavros et al, 2012). High-frequency b waves are associated with stress and anxiety (Diaz et al, 2019), and for adults, high-frequency b waves (21-30 Hz) are also associated with excessive stress, anxiety, and overthinking (Spitzer & Haegens, 2017). Moreover, enhanced b wave can be observed in the frontal and central regions of the brain during anxious thinking (Malik & Amin, 2017), which means that b wave can be considered to be associated with subjective anxiety (Pavlenko et al, 2009).…”

Section: Eegmentioning

confidence: 99%

Influence of Hospital Outdoor Space on Physiological Electroencephalography (EEG) Feedback of Staff

Cui

Xuan

et al. 2021

HERD

View full text Add to dashboard Cite

Objectives: To investigate the differences and relationships between different outdoor spaces of hospitals on the physiological electroencephalography (EEG) feedback (PEEGF) of staff. Background: Relieving the pressure of hospital staff is essential, and several studies have revealed that even short-term exposure to outdoor space has a decompression effect. Yet, the focus is scarcely centered on the differences and influential relationships between the PEEGF from different outdoor spaces where the staff spend time, particularly in large-scale hospitals in China. Methods: EEG measurement equipment was utilized to obtain the value of β wave (vβw) that represents the stress and anxiety of staff in three different outdoor spaces: open, traffic, and rest. On the basis of EEG data, correlation analysis was conducted in accordance with the proportion of space elements. Results: The proportion of natural elements, such as landscape ( r = −.800** p=.005) and waterscape ( r = −.782* p=.013), were negatively correlated with the vβw produced by staff, while the proportion of hard paving was positive ( r = .817** p=.004) with more vβw produced by staff. In other words, the percentage of landscape and waterscape can reduce stress, while hard paving has the opposite effect. Further, there was a difference in the amount of vβw generated between nurses and administrators in the open space at the entrance of the main building ( p = .043). Conclusions: The present study revealed the influence of different outdoor space elements of the hospital on the physiological feedback of staff, demonstrated the practical necessity of evidence-based design, and proposed relevant optimization suggestions.

show abstract

“…Thus, the link between nodal CCs in DMN-related regions and state and trait anxiety suggests more negative internalized attention in patients with BD 15 . Furthermore, the high beta band frequency domain has been shown to be related to anxiety 75,76 . The altered DMN activity in the beta frequency band was repeatedly observed in patients with BD [49][50][51] .…”

Section: Discussionmentioning

confidence: 99%

Alteration of Cortical Functional Networks in Default-Mode Network-Related Regions in Mood Disorders with Resting-State Electroencephalography

Kim¹,

Baek²,

Shim³

et al. 2020

Preprint

View full text Add to dashboard Cite

Studies comparing bipolar disorder (BD) and major depressive disorder (MDD) are scarce, and the neuropathology of these disorders is poorly understood. This study investigated source-level cortical functional networks using resting-state electroencephalography (EEG) in patients with BD and MDD. EEG was recorded in 35 patients with BD, 39 patients with MDD, and 42 healthy controls (HCs). Graph theory-based source-level weighted functional networks were assessed via strength, clustering coefficient (CC), and path length (PL) in six frequency bands. At the global level, patients with BD and MDD showed higher strength and CC, and lower PL in the high beta band, compared to HCs. At the nodal level, compared to HCs, patients with BD showed higher high beta band nodal CCs in the right precuneus, left isthmus cingulate, bilateral paracentral, and left superior frontal, belonging to the default-mode network (DMN); however, patients with MDD showed higher nodal CC only in the right precuneus compared to HCs. Although both MDD and BD patients had similar global level network changes, they had different nodal level network changes in DMN-related regions. Our findings might suggest more altered network in the DMN-related regions in patients with BD than in those with MDD.

show abstract

EEG Beta band frequency domain evaluation for assessing stress and anxiety in resting, eyes closed, basal conditions

Cited by 60 publications

References 8 publications

Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System

Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System

Influence of Hospital Outdoor Space on Physiological Electroencephalography (EEG) Feedback of Staff

Alteration of Cortical Functional Networks in Default-Mode Network-Related Regions in Mood Disorders with Resting-State Electroencephalography

Contact Info

Product

Resources

About