scholarly journals A PRELIMINARY STUDY OF BIOLOGICAL ATTRIBUTED RISK FACTOR FOR ANXIETY AMONG ANXIOUS CHILDREN

2019 ◽  
Vol 4 (33) ◽  
pp. 209-222
Author(s):  
Chen Cheong Chen ◽  
Asmidawati Ashari ◽  
Rahimah Ibrahim ◽  
Wan Aliaa W. Sulaiman ◽  
Kian Yong Koo
Keyword(s):  
Risk Factors ◽  
Electrical Activity ◽  
Trait Anxiety ◽  
Significant Relationship ◽  
Anxiety Level ◽  
Anxiety Score ◽  
Brain Electrical Activity ◽  
Biological Risk ◽  
The Brain ◽  
Trait Anxiety Score

Anxiety disorders are chronic, disabling conditions that are distributed across the globe. Woefully, the consistent increase of prevalence rate had affected people across nations range from children to adults. Biological attributed risk factors had associated strongly with the early onset of anxiety during the childhood stage. This current research intended to study the biological risk factors of brain electrical activity, hereditary and gender effect on trait anxiety among anxious children. A total of 36 children, aged ranged from 8 to 13 years old with high trait anxiety level were recruited by using a purposive sampling method. Self- administered STAIC-T and STAIT were used to measure the trait anxiety level of children and parents respectively. Besides, neuroimaging of Quantitative Electroencephalogram (qEEG) brain mapping was administered to study the brain electrical activity and associated brain locations. Pearson’s Correlation was carried out in order to study the relationship between biological risk factors with trait anxiety level. Results showed that there is a significant relationship between parents’ trait anxiety score and children’s trait anxiety score. Preliminary findings indicated that the brain locations of Fp1, F4, F8, T3, and T4 showed a significant relationship with trait anxiety. In conclusion, hereditary and associated brain locations played a role in affecting the trait anxiety level of children and results in the biological vulnerability of anxiety since birth.

Fit Vs Faint: Assessing Work Causation in “Idiopathic Fall” Cases

2014 ◽  
Vol 19 (5) ◽  
pp. 3-12
Author(s):  
Lorne Direnfeld ◽  
David B. Torrey ◽  
Jim Black ◽  
LuAnn Haley ◽  
Christopher R. Brigham
Keyword(s):  
Blood Flow ◽  
Electrical Activity ◽  
Loss Of Consciousness ◽  
Brain Electrical Activity ◽  
Medical Terminology ◽  
Scientific Analysis ◽  
Medical Causation ◽  
The Individual ◽  
The Brain ◽  
Current Science

Abstract When an individual falls due to a nonwork-related episode of dizziness, hits their head and sustains injury, do workers’ compensation laws consider such injuries to be compensable? Bearing in mind that each state makes its own laws, the answer depends on what caused the loss of consciousness, and the second asks specifically what happened in the fall that caused the injury? The first question speaks to medical causation, which applies scientific analysis to determine the cause of the problem. The second question addresses legal causation: Under what factual circumstances are injuries of this type potentially covered under the law? Much nuance attends this analysis. The authors discuss idiopathic falls, which in this context means “unique to the individual” as opposed to “of unknown cause,” which is the familiar medical terminology. The article presents three detailed case studies that describe falls that had their genesis in episodes of loss of consciousness, followed by analyses by lawyer or judge authors who address the issue of compensability, including three scenarios from Arizona, California, and Pennsylvania. A medical (scientific) analysis must be thorough and must determine the facts regarding the fall and what occurred: Was the fall due to a fit (eg, a seizure with loss of consciousness attributable to anormal brain electrical activity) or a faint (eg, loss of consciousness attributable to a decrease in blood flow to the brain? The evaluator should be able to fully explain the basis for the conclusions, including references to current science.

scholarly journals Identification of Brain Electrical Activity Related to Head Yaw Rotations

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3345
Author(s):  
Enrico Zero ◽  
Chiara Bersani ◽  
Roberto Sacile
Keyword(s):  
Electrical Activity ◽  
Electrical Stimulus ◽  
Head Movements ◽  
Brain Electrical Activity ◽  
Output Function ◽  
Input Output ◽  
Eeg Signals ◽  
Head Turning ◽  
Identification Technique ◽  
The Brain

Automatizing the identification of human brain stimuli during head movements could lead towards a significant step forward for human computer interaction (HCI), with important applications for severely impaired people and for robotics. In this paper, a neural network-based identification technique is presented to recognize, by EEG signals, the participant’s head yaw rotations when they are subjected to visual stimulus. The goal is to identify an input-output function between the brain electrical activity and the head movement triggered by switching on/off a light on the participant’s left/right hand side. This identification process is based on “Levenberg–Marquardt” backpropagation algorithm. The results obtained on ten participants, spanning more than two hours of experiments, show the ability of the proposed approach in identifying the brain electrical stimulus associate with head turning. A first analysis is computed to the EEG signals associated to each experiment for each participant. The accuracy of prediction is demonstrated by a significant correlation between training and test trials of the same file, which, in the best case, reaches value r = 0.98 with MSE = 0.02. In a second analysis, the input output function trained on the EEG signals of one participant is tested on the EEG signals by other participants. In this case, the low correlation coefficient values demonstrated that the classifier performances decreases when it is trained and tested on different subjects.

Hypoglycemia in Dogs and Recovery After Intracisternal Administration of Glucose

1957 ◽  
Vol 191 (2) ◽  
pp. 367-370 ◽  
Author(s):  
Miles L. Doyle ◽  
Norman S. Olsen
Keyword(s):  
Cerebrospinal Fluid ◽  
Electrical Activity ◽  
Plasma Glucose ◽  
General Circulation ◽  
Severe Hypoglycemia ◽  
Brain Electrical Activity ◽  
Arterial Blood ◽  
Serial Sampling ◽  
The Brain

A standardized procedure for the production of hypoglycemia in dogs has been developed. The degree of hypoglycemia may be determined by the correlation of electroencephalographic tracings and levels of plasma constituents. During severe hypoglycemia glucose was injected either by the intravenous or intracisternal route. In the former group the brain electrical activity returned to normal within 1 minute, whereas, the latter group required 6–10 minutes. Serial sampling of arterial blood in the animals which had been given glucose directly into the cerebrospinal fluid showed that relatively large increases in plasma glucose preceded the return to normal electrical activity of the brain. It is concluded that glucose does not pass directly from the cerebrospinal fluid into the cerebral tissues but rather is transported to the general circulation before entering the brain.

Effects of Natural Stress Relief Meditation on Trait Anxiety: A Pilot Study

2007 ◽  
Vol 101 (1) ◽  
pp. 130-134 ◽  
Author(s):  
Fabrizio Coppola
Keyword(s):  
Pilot Study ◽  
Trait Anxiety ◽  
Daily Practice ◽  
Stress Relief ◽  
Anxiety Score ◽  
State Trait Anxiety Inventory ◽  
Natural Stress ◽  
The Difference ◽  
Trait Anxiety Score

Natural Stress Relief meditation, a mental technique which is practiced for 15 minutes twice a day, aims to reduce stress and anxiety by eliciting a specific state of physiological rest along with mental alertness. The meditation is taught in a self-administered program, requiring one hour of training during the first three days, followed by the regular twice daily practice. Each 15-min. session consists in sitting quietly with closed eyes while applying a specific mental procedure. To test the effectiveness of meditation in reducing trait anxiety, Spielberger's State-Trait Anxiety Inventory was administered to 25 participants four times over a 3-wk. period: one week before starting to practice the meditation, a few hours before starting, 1 wk. after, and 2 wk. after. The difference in Trait Anxiety score between pretreatment and before starting the practice was not significant, while it was significant both after the first week of practice (Cohen d= .46) and after the first 2 wk. of practice ( d= .67).

scholarly journals 71 Predictors of children anxiety and association with parental anxiety in the preoperative setting at a tertiary pediatric center

2020 ◽  
Vol 25 (Supplement_2) ◽  
pp. e29-e30
Author(s):  
Amelie Bastarache ◽  
Genevieve Normand
Keyword(s):  
Risk Factors ◽  
Trait Anxiety ◽  
The State ◽  
Anxiety Level ◽  
Preoperative Anxiety ◽  
Parental Anxiety ◽  
State Trait Anxiety Inventory ◽  
Children’S Anxiety ◽  
The Impact ◽  
Pediatric Center

Abstract Background Preoperative anxiety is a prevalent phenomenon in the pediatric population. The impact of anxiety can be seen in the children and accompanying family and have significant consequences during anesthesia, the perioperative and postoperative period. Previous studies examining risk factors of anxiety were contradictory and a few studied children aged under 5. Objectives The aim of this study is to evaluate the association between parental anxiety and child anxiety in patients undergoing elective surgery in a tertiary pediatric center. The secondary objectives were to identify the cohort characteristics and the risk factors associated with higher anxiety. Design/Methods In this prospective cohort study, 166 children aged from 2 to 12 years old, who had a surgery between March and June 2019, were analyzed. Children’s anxiety at induction was assessed by the anesthesiologist with the Modified Yale Preoperative Scale Short form (mYPAS-SF). Anxiety level of children over 8 years old was self-assessed by the State-Trait Anxiety Inventory-Child form (STAIC) during the preoperative evaluation. Parents’ anxiety was measured with the State-Trait Anxiety Inventory form (STAI). Data recorded included personal, familial and sociodemographic details, past healthcare history and prior separations. Unadjusted and adjusted logistic regression were performed to identify possible risk factors of children’s anxiety and association between child and parent anxiety. Results The prevalence of significant anxiety at induction was 39.8%. No significant association was observed between the level of anxiety of parents compared to their children except in the group of children aged over 8. In this population, statistically significant correlation was observed between the STAIC and the STAI score, with a Pearson coefficient of 0.4. Children aged 2 to 5 years old and parents aged 15 to 35 years old, being an only child and no anterior history of separation were all associated with higher anxiety at induction. In the adjusted analysis, being five years or older was a protective factor (OR 0.23, 95% CI 0.12;0.45, p<0.001). Conclusion Parent anxiety does not seem to be a good indicator of children’s anxiety even if an association was observed in the group of 8 to 12 years old. Children under 5 are more at risk of preoperative anxiety and could benefit from new technologies and preparative strategies to lower their anxiety level. Anxiety at induction remains difficult to predict and more studies on the subject need to be carried out.

scholarly journals Coherence and phase synchronization of the brain electrical activity

2016 ◽  
Vol 20 (4) ◽  
pp. 36-45
Author(s):  
А. О. Попов ◽  
Антон Ваврещук ◽  
А. М. Канайкин
Keyword(s):  
Electrical Activity ◽  
Phase Synchronization ◽  
Brain Electrical Activity ◽  
The Brain

scholarly journals EEG Based Headband for Emotion Detection

2019 ◽  
Vol 9 (2) ◽  
pp. 3287-3290
Keyword(s):  
Electrical Activity ◽  
Affective Computing ◽  
Low Noise ◽  
Brain Electrical Activity ◽  
Human Beings ◽  
Emotion Detection ◽  
Eeg Signals ◽  
Peripheral Device ◽  
Low Amplitude ◽  
The Brain

EEG is the term used for recording the brain electrical activity. In Electroencephalography, the encephalon means brain. EEG measures electrical activity generated by thousands of neurons that exists in human brain. The brain electrical activity is measured in voltages. This paper is focused on recognizing emotion from human activity, measured by EEG signals. Making the computer more empathic to the user is one of the aspects of affective computing. With EEG-based emotion detection, the computer can actually take a look inside user’s head to observe their mental state. A low power, low noise and high sensitive analog signal from brain decoded into filtered digital output. The decoder picks a low amplitude and a microvolt signal from brain and decodes it into a filtered and amplified output. As of thelatestattentiongiving fromexaminationteam in creatingsensitivecommunicationamong human beings and peripheral device, the proof of identity of emotive state of the previousdeveloped a necessity. Electro-encephalography establishedimportantconsideration from scientists, becausethey establish modest, inexpensive, transportable, and easily solving theidentification of mind states in this paper.[2] In this paper, it provide a comprehensive overviewfrompresent works in emotion detection using EEG signals

scholarly journals Brain Electrical Activity Mapping (BEAM) on Trait Anxiety among Malaysian Chinese Children

2020 ◽  
Vol 8 (4) ◽  
pp. 246-259
Author(s):  
Chen Chen Cheong ◽  
Asmidawati Ashari ◽  
Rahimah Ibrahim ◽  
Wan Aliaa W. Sulaiman ◽  
Koo Kian Yong
Keyword(s):  
Electrical Activity ◽  
Trait Anxiety ◽  
Brain Mapping ◽  
Chinese Children ◽  
Second Phase ◽  
Brain Electrical Activity ◽  
Brain Mechanism ◽  
Brain Electrical Activity Mapping ◽  
Quantitative Electroencephalogram ◽  
Malaysian Chinese

Objective - Woefully, the early onset of anxiety disorders had affected children in different aspects throughout their developmental stages. In order to get rid of the increased prevalence rate among children, the biological attributed risk factors for anxiety should be given more concern. Particularly, this research intended to study the biological brain mechanism for trait anxiety among children. With brain electrical activity mapping, this research was aimed to study the relationship between the brain locations situated at the prefrontal cortex and temporal lobe with trait anxiety. Subsequently, this research aimed to predict the associated brain locations for trait anxiety among anxious children. Methodology/Technique – A total of 212 Chinese children from Kuala Lumpur, Malaysia with high trait anxiety was recruited after the first phase of the screening phase through the administration of the State-Trait Anxiety Inventory for Children-Trait Scale (STAIC-T). Recruited children then proceeded to the second phase of brain electrical activity brain mapping with a Quantitative Electroencephalogram (qEEG) brain mapping machine. Finding – Results showed that brain locations Fp1, Fp2, F7, F8, F3, F4, T3, and T4 are significantly correlated with trait anxiety while F8, Fp2, F4, and Fp1 are the significant predictors for trait anxiety among children during on task state. In short, the biological brain mechanism of brain locations played a role in forming the anxious trait the personality of children which resulted in reducing their resilience towards stress. Type of Paper: Empirical JEL Classification: D83, I19 Keywords: Brain Electrical Activity Mapping (BEAM); Children; Chinese; Malaysia; Trait anxiety; Quantitative Electroencephalogram (qEEG) Reference to this paper should be made as follows: Cheong, C.C; Ashari, A; Ibrahim, R; Sulaiman, W.A.W; Yong, K.K. (2020). Brain Electrical Activity Mapping (BEAM) on Trait Anxiety among Malaysian Chinese Children, GATR Global J. Bus. Soc. Sci. Review, 8(4): 246 – 259. https://doi.org/10.35609/gjbssr.2020.8.4(6)

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