scholarly journals Effect effect of online counselling on emotional outcomes during the COVID‐19 pandemic: An innovative group intervention for university students using the Brain Wave Modulation Technique

Author(s):  
Giovanna Celia ◽  
Elisa Cavicchiolo ◽  
Laura Girelli ◽  
Pierpaolo Limone ◽  
Mauro Cozzolino
2021 ◽  
Vol 12 ◽  
Author(s):  
Mauro Cozzolino ◽  
Giovanna Celia ◽  
Laura Girelli ◽  
Pierpaolo Limone

This study aims to evaluate the effects of an innovative mind-body practice named the brain wave modulation technique (BWM-T) on stress, anxiety, global distress, and affect. The technique was administered online through a web-based video conferencing platform. The intervention started on week four of the first quarantine in Italy (week commencing 30th March 2020), for a duration of 4 weeks and ended before lockdown measures were loosened. 310 people participated in the study, mean age 28.73 years old (SD = 9.16), 77.8% women. Of these, about half were randomly assigned to the experimental group and the other half served as controls. Participants completed online psychological tests before and after the intervention. 266 people (144 experimental, 122 controls) completed the post-intervention tests. Consistent with our hypothesis, the study’s findings indicate a reduction in the levels of stress, anxiety, global distress, and negative affect in the experimental group, compared to the control group. Moreover, the experimental group also showed higher levels of positive affect, compared to controls after the intervention. The present findings add to the current literature in suggesting that the BWM-T reduced stress not only when administered face-to face but also when administered online during the COVID-19 pandemic. Moreover, we also noted that the BWM-T has an effect on anxiety, global distress, and affect, which we had not investigated in previous studies.


Author(s):  
Sally M. Essawy ◽  
Basil Kamel ◽  
Mohamed S. Elsawy

Some buildings hold certain qualities of space design similar to those originated from nature in harmony with its surroundings. These buildings, mostly associated with religious beliefs and practices, allow for human comfort and a unique state of mind. This paper aims to verify such effect on the human brain. It concentrates on measuring brain waves when the user is located in several spots (coordinates) in some of these buildings. Several experiments are conducted on selected case studies to identify whether certain buildings affect the brain wave frequencies of their users or not. These are measured in terms of Brain Wave Frequency Charts through EEG Device. The changes identified on the brain were then translated into a brain diagram that reflects the spiritual experience all through the trip inside the selected buildings. This could then be used in architecture to enhance such unique quality.


2017 ◽  
Vol 8 (3) ◽  
pp. 64 ◽  
Author(s):  
Johanna Bernhardsdottir ◽  
Marga Thome ◽  
Ingela Skärsäter ◽  
Jane Dimmitt Champion

Background: Psychological distress in the form of depression and/or anxiety has been found to be common among university students, especially in females. Roughly one in five of Icelandic female university students exhibit elevated psychological distress, yet less than 30% of them do receive professional mental health care. To ameliorate the psychological distress a cognitive behavioral group therapy was designed to target the distress. The purpose of this paper is to describe the main steps in designing the respective intervention and the revisions made by the expert panel based on the validation of the preliminary intervention and the experience of the advanced practice psychiatric nurses therapists.Methods: The intervention design took place in four phases. Initially psychological distress was defined, secondly a literature review was conducted to see if there were effective interventions available to solve the problem. Thirdly the drafting of the intervention took place based on theory and evidence and finally the intervention was validated with quantitative and qualitative methods. The intervention was provided by two advanced practice psychiatric nurses in 4 sessions in groups of 5 to 8 females. An expert panel of 6 psychiatric nurses was formed to guide the intervention design, the delivery of the intervention and intervention validation.Results: The quantitative and qualitative validation of the preliminary intervention showed that psychological distress decreased and was acceptable to participants.Conclusions: The validation of the preliminary intervention provided the expert group with rationale for modifying the content and structure of the intervention in nine categories.


2007 ◽  
Vol 19 (Supplement) ◽  
pp. 86-86
Author(s):  
Shinsuke Inoue ◽  
Akiyama Yoko ◽  
Yoshinobu Izumi ◽  
Shigehiro Nishijima
Keyword(s):  

2014 ◽  
Vol 19 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Volker Straebel ◽  
Wilm Thoben

Alvin Lucier's Music for Solo Performer (1965), often referred to as the ‘brain wave piece’, has become a key work of experimental music. Its setup, in which the brain waves of a solo performer are made to excite percussion instruments, has given the work a central place in the discourse on artistic sonification. However, only a small number of the authors making reference to the work seem to have studied the score, and even fewer have given thought to the score's implications for performance practice and aesthetic reflection. This paper pays detailed attention to these yet overlooked aspects, drawing on accounts of early performances as well as the authors’ participation in a 2012 performance led by the composer. We also trace the history of live-electronic equipment used for Music for Solo Performer and discuss the work's reception in sonification research.


2016 ◽  
Vol 27 (1) ◽  
pp. 68-79 ◽  
Author(s):  
Jia-Yan Pan ◽  
Petrus Ng ◽  
Daniel Kim-Wan Young ◽  
Schoepf Caroline

Objective: This study examined the effectiveness of group cognitive behavioral intervention (CBI) in improving mental health and promoting postmigration growth for Mainland university students in Hong Kong. Methods: Thirty-six Mainland students with mild-to-moderate levels of psychological distress have completed a 8-session CBI group. Various mental health measures have been administered at the pre-, post-, and 3-month follow-up tests. Results: The levels of psychological distress, acculturative stress, and negative emotions and negative thoughts of the participants were significantly reduced, while their positive emotions and postmigration growth were significantly increased upon completion of the CBI group. The positive effects were maintained at 3-month follow-up. Conclusions: CBI group appears to be an effective intervention approach for improving the mental health and promoting postmigration growth for Mainland university students in Hong Kong. Implications for social work practices when engaging with Chinese international students were provided.


2020 ◽  
Vol 17 (5) ◽  
pp. 2051-2056
Author(s):  
Kalyana Sundaram Chandran ◽  
T. Kiruba Angeline

A Brain Computer Interface (BCI) is the one which converts the activity of the brain signals into useful and understandable signal. Brain computer interface is also called as Neural-Control Interface (NCI), Direct Neural Interface (DCI) or Brain Interface Machine (BMI). Electroencephalogram (EEG) based brain computer interfaces (BCI) is the technique used to measure the activity of the brain. Electroencephalography (EEG) is a brain wave monitoring and diagnosis. It is the measurement of electrical activity of the brain from the scalp. Taste sensations are important for our body to digest food. Identification of disease symptoms is based on the inhibition of different types of taste and by testing them to find the normality and abnormality of taste. The information is used in detection of disorder such as Parkinson’s disease etc. It is a source of reimbursement for better clinical diagnosis. Our brain continuously produces electrical signals when it operates. Those signals are measured with the equipment called Neurosky Mindwave Mobile headset. It is used to collect the real time brain signal samples. Neurosky is the equipment used in proposed work. Here the pre-processing technique is executed with median filtering. Feature extraction and classification is done with Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM). It increases the performance accuracy. The SVM classification accuracy achieved by this work is 90%. The sensitivity achieved is higher and the specificity is about 80%. We can able to predict the taste disorders using this methodology.


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