Emotional Dissonance Among Frontline Hospitality Employees: An Exploratory Study Examining Habituation Theory Using fMRI

2021 ◽  
pp. 109634802110116
Author(s):  
Woosik Danny Choi ◽  
Timothy Kelley ◽  
Eric Walden ◽  
Barent McCool ◽  
Michael O’Boyle
Keyword(s):  
Exploratory Study ◽  
Brain Regions ◽  
Regions Of Interest ◽  
Emotional Dissonance ◽  
Employee Welfare ◽  
Significant Difference ◽  
Depth Analysis ◽  
Managerial Implications ◽  
Managing Stress ◽  
Fmri Analysis

The purpose of this exploratory study is to analyze the emotional dissonance among frontline hospitality employees, based on the habituation theory, by examining the responses of brain regions of interest to customers’ incivility. A survey and functional magnetic resonance imaging (fMRI)—measuring brain responsiveness—data were collected to compare the life/occupational stress between the frontline hospitality (i.e., customer interacting jobs) and nonhospitality (i.e., minimal or no customer interaction) employees and analyze the responses of brain regions of interest. Although the data from the survey suggested no significant difference between the two groups of employees, the fMRI analysis found significant habituation of the brain regions of interest among the frontline hospitality employees. The analysis outcomes confirm habituation theory and suggest managerial implications such as managing stress or burnout from emotional dissonance and improving employee welfare/fitness to relieve stress from emotional dissonance. The findings suggest the call for more in-depth analysis regarding emotional dissonance.

scholarly journals Computer Literacy and Online Learning Attitude toward GSOE Students in Distance Education Programs

2016 ◽  
Vol 6 (3) ◽  
pp. 147 ◽  
Author(s):  
Lung-Yu Li ◽  
Long-Yuan Lee
Keyword(s):  
Online Learning ◽  
Computer Literacy ◽  
Online Courses ◽  
The Body ◽  
Education Management ◽  
Learning Attitude ◽  
Learning Attitudes ◽  
Significant Difference ◽  
Learning Programs ◽  
Managerial Implications

<p>The purpose of this study was to explore graduate students’ competencies in computer use and their attitudes toward online learning in asynchronous online courses of distance learning programs in a Graduate School of Education (GSOE) in Taiwan. The research examined the relationship between computer literacy and the online learning attitudes of these students. Data were collected via a survey through 252 GSOE students in Taiwan. Results revealed a significant positive relationship between computer literacy and online learning attitude among the students. Higher computer literacy was correlated with higher online learning attitude. However, no statistically significant difference was found in online learning attitude by gender or by age group. Suggestions and managerial implications were discussed in the study, and would provide contribution both to the body of knowledge in the filed of education management.</p>

scholarly journals Emotional Reactions to Music in Dementia Patients and Healthy Controls: Differential Responding Depends on the Mechanism

2021 ◽  
Vol 4 ◽  
pp. 205920432110101
Author(s):  
Gonçalo T. Barradas ◽  
Patrik N. Juslin ◽  
Sergi Bermúdez i Badia
Keyword(s):  
Episodic Memory ◽  
Brain Stem ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Basic Research ◽  
Brain Regions ◽  
Emotional Reactions ◽  
Dementia Patients ◽  
Significant Difference ◽  
Brain Stem Reflex

Music is frequently regarded as a unique way to connect with dementia patients. Yet little is known about how persons with dementia respond emotionally to music. Are their responses different from those of healthy listeners? If so, why? The present study makes a first attempt to tackle these issues in a Portuguese context, with a focus on psychological mechanisms. In Experiment 1, featuring 20 young and healthy adults, we found that musical excerpts which have previously been shown to activate specific emotion induction mechanisms (brain stem reflex, contagion, episodic memory, musical expectancy) in Sweden were valid and yielded predicted emotions also in Portugal, as indexed by self-reported feelings, psychophysiology, and post hoc mechanism indices. In Experiment 2, we used the same stimuli to compare the responses of 20 elderly listeners diagnosed with Alzheimer’s disease (AD) with those of 20 healthy listeners. We controlled for cognitive functioning (Mini-Mental State Examination) and depression (Geriatric Depression Scale). Our predictions about how mechanisms would be differentially affected by decline in brain regions associated with AD received support in that AD patients reported significantly lower levels of (a) sadness in the contagion condition, (b) happiness and nostalgia in the episodic memory condition, and (c) anxiety in the musical expectancy condition. By contrast, no significant difference in reported surprise was found in the brain stem reflex condition. Implications for musical interventions aimed at dementia are discussed, highlighting the key role that basic research may play in developing applications.

scholarly journals A three-dimensional thalamocortical dataset for characterizing brain heterogeneity

2020 ◽  
Author(s):  
Judy A. Prasad ◽  
Aishwarya H. Balwani ◽  
Erik C. Johnson ◽  
Joseph D. Miano ◽  
Vandana Sampathkumar ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Brain Regions ◽  
Regions Of Interest ◽  
Subcortical Structures ◽  
Neural Structure ◽  
Brain Areas ◽  
X Ray ◽  
Anatomical Imaging ◽  
Brain Pathways ◽  
Critical Aspects

AbstractNeural cytoarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as these structures serve as the vital landmarks with which to map brain pathways. Access to continuous, three-dimensional volumes that span multiple brain areas not only provides richer context for identifying such landmarks, but also enables a deeper probing of the microstructures within. Here, we describe a three-dimensional X-ray microtomography imaging dataset of a well-known and validated thalamocortical sample, encompassing a range of cortical and subcortical structures. In doing so, we provide the field with access to a micron-scale anatomical imaging dataset ideal for studying heterogeneity of neural structure.

scholarly journals Use of Team-Based Learning Pedagogy to Prepare for a Pharmacy School Accreditation Self-Study

Pharmacy ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 148
Author(s):  
Ruth Vinall ◽  
Ashim Malhotra ◽  
Jose Puglisi
Keyword(s):  
Subgroup Analysis ◽  
Exploratory Study ◽  
Likert Scale ◽  
The Self ◽  
Classroom Setting ◽  
Participant Engagement ◽  
Significant Difference ◽  
Self Study ◽  
Team Based Learning ◽  
School Accreditation

Ensuring adequate engagement and preparation of all stakeholders in an accreditation self-study can be challenging for many reasons, including lack of motivation and inadequate understanding of expectations and procedures. The goal of this exploratory study was to determine whether using team-based learning (TBL) pedagogy to deliver an accreditation preparation workshop could effectively prepare and engage participants. A Likert-scale questionnaire was administered to workshop attendees (n = 52) to determine whether they found TBL-based training helpful and whether it promoted engagement. Twenty-four attendees completed the survey (46%). More than 80% of participants strongly agreed or agreed with 12 statements relating to perceptions of self and participant engagement within team activities and the usefulness of team activities. More than 65% of participants strongly agreed or agreed with statements relating to the helpfulness of the TBL approach in preparing for the self-study (five questions). Subgroup analysis showed no significant difference in responses based on whether on not participants had previously been involved in an accreditation self study. Our data indicate that a TBL approach can be an effective way to engage and prepare stakeholders for an accreditation self-study, and that TBL pedagogy has utility outside of the classroom setting.

scholarly journals Resting-State Functional Magnetic Resonance Imaging Connectivity Between Semantic and Phonological Regions of Interest May Inform Language Targets in Aphasia

2020 ◽  
Vol 63 (9) ◽  
pp. 3051-3067
Author(s):  
Amy E. Ramage ◽  
Semra Aytur ◽  
Kirrie J. Ballard
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Resting State ◽  
Brain Regions ◽  
Regions Of Interest ◽  
Healthy Controls ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Language Performance

Purpose Brain imaging has provided puzzle pieces in the understanding of language. In neurologically healthy populations, the structure of certain brain regions is associated with particular language functions (e.g., semantics, phonology). In studies on focal brain damage, certain brain regions or connections are considered sufficient or necessary for a given language function. However, few of these account for the effects of lesioned tissue on the “functional” dynamics of the brain for language processing. Here, functional connectivity (FC) among semantic–phonological regions of interest (ROIs) is assessed to fill a gap in our understanding about the neural substrates of impaired language and whether connectivity strength can predict language performance on a clinical tool in individuals with aphasia. Method Clinical assessment of language, using the Western Aphasia Battery–Revised, and resting-state functional magnetic resonance imaging data were obtained for 30 individuals with chronic aphasia secondary to left-hemisphere stroke and 18 age-matched healthy controls. FC between bilateral ROIs was contrasted by group and used to predict Western Aphasia Battery–Revised scores. Results Network coherence was observed in healthy controls and participants with stroke. The left–right premotor cortex connection was stronger in healthy controls, as reported by New et al. (2015) in the same data set. FC of (a) connections between temporal regions, in the left hemisphere and bilaterally, predicted lexical–semantic processing for auditory comprehension and (b) ipsilateral connections between temporal and frontal regions in both hemispheres predicted access to semantic–phonological representations and processing for verbal production. Conclusions Network connectivity of brain regions associated with semantic–phonological processing is predictive of language performance in poststroke aphasia. The most predictive connections involved right-hemisphere ROIs—particularly those for which structural adaptions are known to associate with recovered word retrieval performance. Predictions may be made, based on these findings, about which connections have potential as targets for neuroplastic functional changes with intervention in aphasia. Supplemental Material https://doi.org/10.23641/asha.12735785

scholarly journals Dissection of neuroinflammation in schizophrenia

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S274-S275
Author(s):  
Fizah Muratib ◽  
Yuya Mizuno ◽  
Ines Carreira Figueiredo ◽  
Oliver Howes ◽  
Tiago Reis Marques
Keyword(s):  
Risk Factor ◽  
Grey Matter ◽  
Psychotic Disorders ◽  
Positive Association ◽  
Brain Regions ◽  
Regions Of Interest ◽  
Cannabis Use ◽  
Similar Response ◽  
Frequency Of Use ◽  
The Brain

AimsSchizophrenia is notoriously becoming one of the world's most debilitating mental disorders, affecting 1 in 100 people. There is increasing evidence that neuroinflammation plays a part in the pathogenesis of schizophrenia and other psychotic disorders; microglial activity acting as a marker for neuroinflammatory reactions in the brain. Furthermore, cannabis is an illicit substance that also evokes a similar response in the neuroimmune activity. This project explores how cannabis exposure influences an elevation in neuroinflammatory responses through TSPO levels, and whether this information can help us determine if cannabis use and increased TSPO levels can be associated with a risk factor for developing psychosis.Method55 participants (36 males and 19 females) were recruited from the community by the IRIS (Inflammatory Reaction in Schizophrenia) team at the IoPPN, King's College London, from which 34 patients with a diagnosis of schizophrenia and 21 healthy controls took part in the study. The eligible participants underwent clinical assessments and PET scanning, from which cannabis use history and PET data were collected. Participant neuroinflammatory levels are represented by [18F]DPA-714 volume and different regions of grey matter in the brain were analysed through multivariate analyses, the confounding variables being age and TSPO genotype.ResultA statistically significant association is shown between participants who have had exposure to cannabis and participants who have not had any exposure in their lifetime. The differences across the prioritised brain regions of interest were robust, the association appearing more apparent and statistically significant in the total (p = .00) and temporal grey matter (p = .00) regions of the brain. This may suggest that cannabis exposure influences the [18F]DPA-714 VT in the significant regions of interest. However, a negative association is seen with current use, the quantity of use, and the frequency of use.ConclusionThe initial findings for cannabis exposure show us a positive association with increased TSPO levels, however, limitations must be taken into account. Although we cannot readily establish that elevated TSPO levels in cannabis users can presently act as a risk factor marker for developing psychosis from this particular study, we can utilise this data to continue our research in disclosing a new system to predict the occurrence of psychosis.

scholarly journals Brain Activation of College Students in China With Premenstrual Syndrome Localized by BOLD-fMRI

2021 ◽  
Author(s):  
Dongmei Gao ◽  
Mingzhou Gao ◽  
Li An ◽  
Yanhong Yu ◽  
Jieqiong Wang ◽  
...  
Keyword(s):  
College Students ◽  
Premenstrual Syndrome ◽  
Brain Area ◽  
Inferior Frontal Gyrus ◽  
Brain Regions ◽  
Anterior Lobe ◽  
Middle Temporal Gyrus ◽  
Cerebellar Tonsil ◽  
Bold Fmri ◽  
Significant Difference

Abstract Background: Most studies on the mechanism behind premenstrual syndrome (PMS) have focused on fluctuating hormones, but little evidence exists regarding functional abnormalities in the affected brain regions of college students. Thus, the aim of this study is to localize PMS's abnormal brain regions by BOLD-fMRI in college students.Methods: Thirteen PMS patients and fifteen healthy control (HC) subjects underwent a BOLD-fMRI scan during the luteal phase induced by depressive emotion pictures. The BOLD-fMRI data were processed by SPM 8 software and rest software based on MATLAB platform. Each cluster volume threshold (cluster) was greater than 389 continuous voxels, and the brain area with single voxel threshold P < 0.05 (after correction) was defined as the area with a significant difference. The emotion report form and the instruction implementation checklist were used to evaluate the emotion induced by picture.Results: Compared to the HC, right inferior occipital gyrus, right middle occipital gyrus, right lingual gyrus, right fusiform gyrus, right inferior temporal gyrus, cerebelum_crus1_R，cerebelum_6_R, culmen, the cerebellum anterior lobe, tuber, cerebellar tonsil of PMS patients were enhanced activation. Sub-lobar，sub-gyral，extra-nuclear，right orbit part of superior frontal gyrus, right middle temporal gyrus, right Orbit part of inferior frontal gyrus, limbic lobe, right insula, bilateral anterior and adjacent cingulate gyrus, bilateral caudate, caudate head, bilateral putamen, left globus pallidus were decreased activation.Conclusion: Our findings may improve our understanding of the neural mechanisms involved in PMS.

scholarly journals Comparing the usability of paediatric weight estimation methods: a simulation study

2018 ◽  
Vol 104 (2) ◽  
pp. 121-123 ◽  
Author(s):  
Robin D Marlow ◽  
Dora L B Wood ◽  
Mark D Lyttle
Keyword(s):  
Simulation Study ◽  
Exploratory Study ◽  
Life Support ◽  
Estimation Methods ◽  
Weight Estimation ◽  
Cognitive Stress ◽  
Reference Table ◽  
Online Simulation ◽  
Significant Difference ◽  
Recent Version

ObjectiveEstimating weight is essential in order to prepare appropriate sized equipment and doses of resuscitation drugs in cases where children are critically ill or injured. Many methods exist with varying degrees of complexity and accuracy. The most recent version of the Advanced Paediatric Life Support (APLS) course has changed their teaching from an age-based calculation method to the use of a reference table. We aimed to evaluate the potential implications of this change.MethodUsing a bespoke online simulation platform we assessed the ability of acute paediatric staff to apply different methods of weight estimation. Comparing the time taken, rate and magnitude of errors were made using the APLS single and triple age-based formulae, Best Guess and reference table methods. To add urgency and an element of cognitive stress, a time-based competitive component was included.Results57 participants performed a total of 2240 estimates of weight. The reference table was the fastest (25 (22–28) vs 35 (31–38) to 48 (43–51) s) and most preferred, but errors were made using all methods. There was no significant difference in the percentage accuracy between methods (93%–97%) but the magnitude of errors made was significantly smaller using the three APLS formulae 10% (6.5–21) compared with reference table (69% (34–133)) mainly from month/year table confusion.ConclusionIn this exploratory study under psychological stress none of the methods of weight estimation were free from error. Reference tables were the fastest method and also had the largest errors and should be designed to minimise the risk of picking errors.

scholarly journals Causal connectivity abnormalities of regional homogeneity in children with attention deficit hyperactivity disorder: a rest-state fMRI study

ADMET & DMPK ◽  
2017 ◽  
Vol 5 (4) ◽  
pp. 242-252 ◽  
Author(s):  
Dechun Zhao ◽  
Shuxing Zheng ◽  
Li Yang ◽  
Yin Tian
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Low Frequency ◽  
Brain Regions ◽  
Regional Homogeneity ◽  
Support Vector ◽  
Attention And Memory ◽  
Causality Analysis ◽  
Hyperactivity Disorder ◽  
Significant Difference

The present study aimed to investigate individual differences of causal connectivity between brain regions in attention deficit hyperactivity disorder (ADHD) which was a psychiatric disorder. Resting-state functional magnetic resonance imaging (R-fMRI) data of typically-developing controls (TDC) children group and combined ADHD (ADHD-C) children group were distinguished by the support vector machine (SVM) with linear kernel function, based on regional homogeneity (ReHo), amplitude of low frequency fluctuation (ALFF) and fractional ALFF (FALFF). The highest classification accuracy yielded by ReHo was 90.91 %. Furthermore, the granger causality analysis (GCA) method based on the classified weight map of regions of interesting (ROIs) showed that five causal flows existed significant difference between TDC and ADHD-C. That is, the averaged GCA values of three causal connections (i.e. left VLPFC à left CC1, right PoCG à left CC1, and right PoCG à right CC2) for ADHD-C were separately stronger than those for TDC. And the other two connections (i.e. right FEF à right SOG and right CC1 à right SOG) were weaker for ADHD-C than those for TDC. In addition, only two causality flows (i.e. left VLPFC à left CC1 and right PoCG à right CC2) presented that their GCA values were positively correlation with ADHD index scores, respectively. Our findings revealed that ADHD children represented widespread abnormalities in the causality connectivity, especially involved in the attention and memory related regions. And further provided evidence that the potential neural causality flows could play a key role in characterizing individual’s ADHD.

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