What can we learn from exploring cognitive appraisal, coping styles and perceived stress in UK undergraduate dissertation students?

Undergraduate dissertation students’ cognitive appraisal, coping styles and perceived stress were examined at three time points during their undergraduate dissertation projects (UDP), observing whether cognitive appraisal and coping styles predicted perceived stress and their temporal changes. Sixty-four dissertation students completed the Perceived Stress Scale, an adapted Cognitive Appraisal of Health Scale, the Brief COPE and explorative open-ended questions. Linear Regression models for each time-point showed coping styles and cognitive appraisal predicted perceived stress, but single coping styles and primary appraisal harm/loss predicted stress levels inconsistently over time. Analyses indicated significant effects of time-point on primary appraisals benign/irrelevance, harm/loss and challenge but none for secondary appraisal,coping styles or perceived stress. Content Analysis showed perceived stressors and coping styles to be a function of the UDP’s stages and their tasks and challenges. Implications and recommendations for students and supervisors are discussed

Ageing, Grey Matter Loss and Resting-State Effective Connectivity

Aldring påvirker kroppen på forskjellige måter. Ikke-patologisk aldring karakteriseres av asymmetrisk tap av grå materie, som påvirker den tjukkere hemisfæren sterkere (Roe et al., 2021). Det er ukjent hvordan disse strukturelle forandringene kan relateres til intrinsisk aktivitet som måles med «resting state» funksjonell magnetresonanstomografi (fMRI). Derfor undersøkte vi sammenhengen mellom sannsynlighetsverdier for grå materie (GMPV) og effektiv konnektivet (EC). De observerte dataene inneholder to tidspunkter, T5 og T6, fra det longitudinelle BETULA prosjektet (N = 227). Canonical Correlation Analysis indikerer relasjoner mellom EC og GMPV innom Default Mode Network og Central Executive Network. Sammenhengen mellom EC og GMPV ble spesifisert ved hjelp av generalized additive models. I tillegg fant vi forskjeller i EC mellom T5 og T6, fra venstre dorsal Prefrontal Cortex til høyre medial Temporal Gyrus og høyre Prefrontal Cortex til venstre Precuneus. Videre predikerte GMPV EC bedre enn kronologisk alder. Sammenhengen mellom strukturell og funksjonell lateralisering i de aktuelle dataene var svak. Det ble funnet markører for sammenhengen mellom hjernestruktur og -funksjon.Master's Thesis in PsychologyMAPSYK360INTL-HFINTL-MNINTL-PSYKINTL-MEDMAPS-PSYKINTL-KMDINTL-SVINTL-JU

No effect of forest representations on state anxiety, actual and perceived noise

Previous research indicates that nature and nature representations might have positive effects and noise negative effects on various facets of life, such as performance, perceived life quality, and physical and mental health. In this intervention, we observed whether posters showing a representation of nature (forests) can be used to reduce actual noise, perceived noise, and state anxiety in university library users. Measurements were taken twice daily for a 5-day period pre-intervention (before posters were installed) and again during the intervention, when posters were installed. No significant differences were found for perceived or actual noise levels or for self-report state anxiety levels between pre-intervention and intervention phase. Correlations between actual and perceived noise, and actual noise and state anxiety, were small in their magnitude and non-significant, with the exception of state anxiety and perceived noise during the intervention phase, suggesting a weak positive relationship. Finally, in hierarchical linear regression models, actual and perceived (overall and talking) noise and intervention phase were non-significant predictors of state anxiety. Small effect sizes of nature representations on state anxiety, as well as actual and perceived noise, suggest posters of forests to not be an effective intervention for anxiety and actual and perceived noise reduction in a university library

Deep brain imaging of three participants across 1 year: The Bergen breakfast scanning club project

Our understanding of the cognitive functions of the human brain has tremendously benefited from the population functional Magnetic Resonance Imaging (fMRI) studies in the last three decades. The reliability and replicability of the fMRI results, however, have been recently questioned, which has been named the replication crisis. Sufficient statistical power is fundamental to alleviate the crisis, by either “going big,” leveraging big datasets, or by “going small,” densely scanning several participants. Here we reported a “going small” project implemented in our department, the Bergen breakfast scanning club (BBSC) project, in which three participants were intensively scanned across a year. It is expected this kind of new data collection method can provide novel insights into the variability of brain networks, facilitate research designs and inference, and ultimately lead to the improvement of the reliability of the fMRI results

The privacy and control paradoxes in the context of smartphone apps

This research examines how various factors, such as the degree of e-privacy concerns and control over data access permissions, can influence a user's intention to install a smartphone app. We conducted two survey-based experiments with 441 participants. In each experiment, we manipulated the degree of control over the number and type of data access permissions granted to different fictional apps. In Study 1, participants were informed about the set of permissions the apps required. In Study 2, participants indicated which individual permissions they were willing to grant to the apps. In both experiments, we assessed the level of e-privacy concerns, perceived app importance, and the intention to install the apps. The results suggest that the type of app plays a central role in determining both the perceived benefit of installing the app and the level of e-privacy concerns. The intention to install an app is more strongly associated with perceived app importance than with e-privacy concerns (especially when app importance is high, and users have explicit control over which specific data access permissions they want to grant). The implications of these results are discussed regarding psychological factors involved in app installation decision-making process and the importance of promoting data protection by design

Researching together:a collaborative research volunteer scheme and its student-staff partnership evaluation

This case study outlines a university-wide programme that brings together staff and undergraduate students in co-research projects. They argue that successful student-staff partnerships require a structured approach, clear communication about expectations and roles and due care taken with respect to power imbalances. If done successfully, programmes like this increase competence and confidence aiding students now, and in the future

National income inequality predicts cultural variation in mouth to mouth kissing

Romantic mouth-to-mouth kissing is culturally widespread, although not a human universal, and may play a functional role in assessing partner health and maintaining long-term pair bonds. Use and appreciation of kissing may therefore vary according to whether the environment places a premium on good health and partner investment. Here, we test for cultural variation (13 countries from six continents) in these behaviours/attitudes according to national health (historical pathogen prevalence) and both absolute (GDP) and relative wealth (GINI). Our data reveal that kissing is valued more in established relationships than it is valued during courtship. Also, consistent with the pair bonding hypothesis of the function of romantic kissing, relative poverty (income inequality) predicts frequency of kissing across romantic relationships. When aggregated, the predicted relationship between income inequality and kissing frequency (r=.67, BCa 95%CI[.32,.89]) was over five times the size of the null correlations between income inequality and frequency of hugging/cuddling and sex. As social complexity requires monitoring resource competition among large groups and predicts kissing prevalence in remote societies, this gesture may be important in the maintenance of long-term pair bonds in specific environments

Considerations on brain age predictions from repeatedly sampled data across time

Introduction Brain age, the estimation of a person's age from magnetic resonance imaging (MRI) parameters, has been used as a general indicator of health. The marker requires however further validation for application in clinical contexts. Here, we show how brain age predictions perform for the same individual at various time points and validate our findings with age-matched healthy controls. Methods We used densely sampled T1-weighted MRI data from four individuals (from two densely sampled datasets) to observe how brain age corresponds to age and is influenced by acquisition and quality parameters. For validation, we used two cross-sectional datasets. Brain age was predicted by a pretrained deep learning model. Results We found small within-subject correlations between age and brain age. We also found evidence for the influence of field strength on brain age which replicated in the cross-sectional validation data and inconclusive effects of scan quality. Conclusion The absence of maturation effects for the age range in the presented sample, brain age model bias (including training age distribution and field strength), and model error are potential reasons for small relationships between age and brain age in densely sampled longitudinal data. Clinical applications of brain age models should consider of the possibility of apparent biases caused by variation in the data acquisition process.publishedVersio

Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing

Unveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age-associations of WM features from different diffusion approaches, we analyzed UK Biobank diffusion magnetic resonance imaging (dMRI) data across midlife and older age (N = 35,749, 44.6–82.8 years of age). Conventional and advanced dMRI approaches were consistent in predicting brain age. WM-age associations indicate a steady microstructure degeneration with increasing age from midlife to older ages. Brain age was estimated best when combining diffusion approaches, showing different aspects of WM contributing to brain age. Fornix was found as the central region for brain age predictions across diffusion approaches in complement to forceps minor as another important region. These regions exhibited a general pattern of positive associations with age for intra axonal water fractions, axial, radial diffusivities, and negative relationships with age for mean diffusivities, fractional anisotropy, kurtosis. We encourage the application of multiple dMRI approaches for detailed insights into WM, and the further investigation of fornix and forceps as potential biomarkers of brain age and ageing.publishedVersio