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2,584 results for “Mentalization”
Normalized and batch-corrected concentration of 43 immune markers from 248 subjects with stress-related mental disorders and 36 healthy controls
<h1>Abstract</h1> <p>In a subset of patients with mental disorders, such as depression, low-grade inflammation and altered immune marker concentrations are observed. However, these immune alterations are often assessed by only one data type and small markers panels. Here, we used a transdiagnostic approach and combined data from two cohorts to define subgroups of depression symptoms across the diagnostic spectrum through a large-scale multi-omics clustering approach in 237 individuals. The method incorporated age, body mass index (BMI), 43 plasma immune markers and RNA-seq data from peripheral mononuclear blood cells (PBMCs). Our initial clustering revealed four clusters, including two immune-related depression symptom clusters characterized by elevated BMI, higher depression severity and elevated levels of immune markers such as interleukin-1 receptor antagonist (IL-1RA), C-reactive protein (CRP) and C-C motif chemokine 2 (CCL2 or MCP-1). In contrast, the RNA-seq data mostly differentiated a cluster with low depression severity, enriched in brain related gene sets. This cluster was also distinguished by electrocardiography data, while structural imaging data revealed differences in ventricle volumes across the clusters. Incorporating predicted cell type proportions into the clustering resulted in three clusters, with one showing elevated immune marker concentrations. The cell type proportion and genes related to cell types were most pronounced in an intermediate depression symptoms cluster, suggesting that RNA-seq and immune markers measure different aspects of immune dysregulation. Lastly, we found a dysregulation of the SERPINF1/VEGF-A pathway that was specific to dendritic cells by integrating immune marker and RNA-seq data. This shows the advantages of combining different data modalities and highlights possible markers for further stratification research of depression symptoms.</p> <h1>Methods</h1> <p>The normalized and batch-corrected concentration of 43 immune markers from 237 subjects with stress-related mental disorders and 36 healthy controls was determined in plasma. This data was used in the initial analysis. Additionally, the same measurements are provided for 11 subjects with stress-related mental disorders used in a replication analysis.</p> <p>- blood was collected in the morning under fasted conditions and plasma stored at -80°C until further processing<br>- samples were randomized into 96 well plates<br>- immune marker concentration was measured with the Meso Scale Diagnostics V-PLEX Human Biomarker 54-Plex Kit and the MESO QuickPlex SQ 120 imager according to the manufacturer's instructions<br>- additionally, high-sensitivity C-reactive protein (Tecan Group Ltd.), cortisol (Tecan Group Ltd.), interleukin (IL)-6 (Thermo Fisher Scientific), IL-6 soluble receptor (Thermo Fisher Scientific) and IL-13 (Thermo Fisher Scientific) was measured via ELISA according to the manufacturer's instructions<br>- values below the detection limit in markers measured with ELISA were set to zero and values above the detection limit to the upper limit<br>- the data was quantile-normalized (values were ranked and mapped to the quantiles of a standard normal distribution)<br>- the normalized concentration was corrected for the biobank storage position (batch_variable) via a linear model and the residuals reported as the concentration</p> <p>The following markers were measured:<br>fibroblast growth factor 2 (FGF2 or bFGF), cortisol, C-C motif chemokine 11 (CCL11 or eotaxin), CCL26 (eotaxin-3), vascular endothelial growth factor receptor 1 (VEGFR1 or Flt-1), hsCRP, intercellular adhesion molecule (ICAM)-1, interferon (IFN)-gamma, IL-1alpha, IL-1 receptor antagonist (IL-1RA), IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17B, IL-2, IL-27, IL-31, IL-5, IL-6 high sensitivity (IL-6HS), IL-7, IL-8HS, C-X-C motif chemokine 10 (CXCL10 or IP-10), CCL2 (MCP-1), CCL13 (MCP-4), CCL22 (MDC), CCL3 (MIP-1alpha), CCL4 (MIP-1beta), placental growth factor (PlGF), serum amyloid A (SAA), sIL-6R, CCL17 (TARC), angiopoietin-1 receptor (Tie-2), tumor necrosis factor (TNF or TNF-alpha), lymphotoxin-alpha (LT-alpha or TNF-beta), thymic stromal lymphopoietin (TSLP), vascular cell adhesion protein 1 (VCAM-1), vascular endothelial growth factor (VEGF)-A-HS, VEGF-C, VEGF-D</p> <p>The data is provided as a tab separated file.</p>
Re-igniting Windrush Folk stories and songs to improve African-Caribbean mental health disparities in the London Boroughs of Lewisham & Greenwich
<p>This cross-disciplinary intergenerational project created a network of experts from multiple fields, aiming to achieve several key objectives. Using A-C Folk Songs and Art methods, it provided support to hub spaces, including training, remuneration for services and connecting them to therapists. The project also embeded culturally relevant narrative therapy techniques in community settings to support proactive positive mental health, whilst ensuring community organisations had access to affordable meeting spaces. Finally, it created opportunities for intergenerational connection, fostering a more cohesive and supportive community environment.</p> <p>A-C communities are 40% more likely than white-British people to come into contact with mental health services and be detained under the Mental Health Act, reflecting a stark historical pattern of structural racism and its ensuing health inequalities within the mental health system (Vige, 2019). Access to mental healthcare services are limited as a result of institutional, cultural and socio- economic exclusion factors related to BME groups (Memon, et al., 2016). The field of clinical psychology often 'assumes a deficit-based-approach' to the mental health of those minoritised by society (Renkly & Bertolini, 2018). This model is problematic with those from A-C groups because it places emphasis on the individual rather than systems of oppression and ignores the ways cultural traditions and communities create supporting mechanisms for mental health. Our approach offers an alternative model.</p> <p>This project uses an augmented generative co-design framework base on Bird et al (2021) where a narrative enquiry (Pinnegar, & Daynes, 2007) is used to engage participants in conversations on folk songs and how these can be utilised to support mental health of the local A-C community. Through a series of workshops we brought together storytellers, A-C elders and young adults 18-85 to gather traditional stories as well as to create new ones. This supported our understanding of both folk stories and song routes and the lessons learnt within them. We used these stories as analogies to map out the socio-cultural ways in which mental health is discussed in African-Caribbean communities, capturing these conversations via film which, after each session, is edited and re-shared in the next session to create a focus for future conversations. </p> <p>During the project we have co-produced a toolkit including: film, workshop plans and thematic analysis of findings. Our work will feed into at least 2 publications which connect the 10 NHS 75 projects (article and policy document) and we plan on publishing at least 2 further works; 1 on methodological insight and the other on research findings.</p> <p>Our work has been shared at the International symposium (1st July 2024 University of Greenwich) linked to mental Health and the Climate crisis, opening possible future avenues of work with international organisations as well as with the Caribbean Association. </p> <p> </p>
BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance-Figure 2. Energy-VAS subjective measures for the participants (n=12) under two conditions (control and exercise involved cognitive task).
<p>As shown in Figure 2, it was found that there was a statistically significant interaction in the<br> percentage of mental fatigue between the condition type and time-on-task factor times (F(6, 22) =<br> 492.19, p < 0.001) as well as there was a significant main effect of time-on-task (time5 to time30)<br> (F(5, 22) = 463.794, p < 0.001). In addition, there was also a significant main effect in the condition type (F (1, 22) = 713.133, p < 0.001) which represented a large effect size. For the physical fatigue<br> subjective measure, there was a significant difference between the two experimental conditions (p <<br> 0.001), and within the subject test times (p < 0.001). However, there was no significant difference<br> between the means of the concentration visual analogue scale for these two experimental conditions<br> (p = 0.057) despite a significant difference (p < 0.001) in the time-on-task repeated measures.</p>
BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance-Figure 1. The 10-20 international system electrode placement showing the EEG electrode placement
<p>For the EEG analysis, the average power in the theta band (4 – 8 Hz), and alpha band (8 – 12<br> Hz) were computed at the frontal and parietal electrodes Fz and Pz respectively. Next, the ratio of<br> these two powers was determined, and named the ‘cognitive ratio’ as several researchers found that<br> the fronto-parietal network play important roles in cognitive activities.</p>
Intentional Forgetting in Organizations: The Positive Effects of Decision Support Systems on Mental Resources and Well-being
<p>This dataset contains raw data collected in an experimental study at the University of Muenster, Germany. The study is part of a larger research project and examined “intentional forgetting” effects in a simulated sales planning scenario. Intentional forgetting was operationalized via computer-based decision support system that enabled users to forget decision-relevant background information. We assumed that such intentional forgetting not only enhances decision quality but also decreases strain of decision makers and releases memory capacities for additional tasks.</p>
Using the Socialise app to collect smartphone sensor data for mental health research: A feasibility study
<p>To investigate the feasibility of collecting smartphone sensor data for mental health research, we tested the Socialise app that was developed at the Black Dog Institute in a group of people with a lived experience of mental health challenges (n=32). Bluetooth, GPS and battery status data were collected at regular intervals (3, 4, 5 or 8 minutes) for 4 weeks. In addition, survey data was collected using the app to investigate the views of participants on user experience and the acceptability of passive data collection for mental health research. No mental health data was collected as part of the feasibility study.</p>
Do synaesthesia and mental imagery tap into similar crossmodal processes?
<p>Examples of video stimuli used in<strong> Experiment 1</strong> of paper - Do synaesthesia and mental imagery tap into similar crossmodal processes?</p> <p> </p> <p> </p> <p> </p>
Figure. General head scalation pattern for Elaphe sauromates (cs – anterior chin shields; cs' – posterior chin shields; f – frontal; g – gulars; in – internasal; l – loreal; la – upper labials; la' – lower labials; m – mental; p – parietals; pf – prefrontal; prn – prenasal; ptn – postnasal; pto – postocular; pro – preocular; r – rostral; so – supraocular; sbo – subocular; t – temporals; v – ventral shields). in Morphological characteristics of the elusive blotched snake (Elaphe sauromates) at its northwestern range limit (Romania)
Figure. General head scalation pattern for Elaphe sauromates (cs – anterior chin shields; cs' – posterior chin shields; f – frontal; g – gulars; in – internasal; l – loreal; la – upper labials; la' – lower labials; m – mental; p – parietals; pf – prefrontal; prn – prenasal; ptn – postnasal; pto – postocular; pro – preocular; r – rostral; so – supraocular; sbo – subocular; t – temporals; v – ventral shields).
Data Sharing Practices in the MRC Circadian Mental Health Network.
<p>This dataset supports the research conducted within the MRC Circadian Mental Health Network which assesses data sharing practices among Principal Investigators' publications in 2023. This work aims to identify trends, challenges, and inform future recommendations and policies based on the findings. The dataset includes various files that detail the methodology, data collected, and analyses performed.</p> <p> </p> <p><strong>Repository Contents:</strong></p> <ol> <li> <p><strong>Methods and Analysis Report - Data Sharing Practices in the MRC CMHN.pdf</strong></p> <ul> <li>This report provides the methodologies used for selecting and assessing research papers within the network, along with detailed results, tables, and discussions from the evaluation.</li> </ul> </li> <li> <p><strong>CMHN_All_Data.xlsx</strong></p> <ul> <li>An Excel workbook containing: <ul> <li><strong>Sheet 1</strong>: All data and variables collected and analysed for this project.</li> <li><strong>Sheet 2</strong>: A README file that explains each variable and its values.<br><br></li> </ul> </li> </ul> </li> <li> <p><strong>CMHN DataType Scoring.xlsx</strong></p> <ul> <li>An Excel workbook detailing: <ul> <li><strong>Sheet 1</strong>: All datatypes, both code and datasets, evaluated in this study.</li> <li><strong>Sheet 2</strong>: A README explaining the variables evaluated and their specific values.<br><br></li> </ul> </li> </ul> </li> <li> <p><strong>CMHN Data Extraction Survey.pdf</strong></p> <ul> <li>A copy of the Microsoft Form used to systematically evaluate data-sharing practices from selected publications, describing the structured data extraction process used.<br><br></li> </ul> </li> <li> <p><strong>CMHN DataType Scoring Survey.pdf</strong></p> <ul> <li>A Microsoft Form used to assess the types of data (code and datasets) shared.<br><br></li> </ul> </li> <li> <p><strong>Data_CSV_Code.csv</strong></p> <ul> <li>This file is the original, uncleaned dataset directly extracted from the initial response data of the Microsoft Form used in the project. It served as the primary dataset for all subsequent data analysis and code execution within the study.<br><br></li> </ul> </li> <li> <p><strong>CMHN Code.Rmd</strong></p> <ul> <li>An R Markdown file containing the code used for data analysis; predominantly descriptive statistics due to the limited number of papers with shared data.</li> </ul> </li> </ol> <p><strong><br>Recommended Use:</strong> For comparative purposes or further analysis, researchers are encouraged to utilise the cleaned datasets available in "CMHN_All_Data.xlsx" and "CMHN DataType Scoring.xlsx."<br><br><strong>Contact:</strong> For further inquiries, please email us at <a href="mailto:bio_rdm@ed.ac.uk" target="_blank" rel="noopener">bio_rdm@ed.ac.uk</a>.</p>
MAPA MENTAL DAS REGRAS & FORMULÁRIO DE DECISÃO – BestPrice Game
<p>Diagrama na forma de mapa mental das regras e formulário de decisão do jogo BestPrice</p> <p> </p>
Data sets - The attitude of computer science teachers to inclusive education, Motivation to teach, Perception of the possible impact of computer science on students with mental disabilities
<p>Data sets </p> <p>The attitude of computer science teachers to inclusive education, Motivation to teach, Perception of the possible impact of computer science on students with mental disabilities. <br>In the period from February to October 2024, a survey of 112 computer science teachers in Kazakhstan (Pavlodar region) was conducted to determine attitudes to inclusive education, motivation to teach, and perception of the possible impact of computer science on students with mental disabilities.</p> <p>Questionnaire <br>https://docs.google.com/document/d/1LzukKSqW_mHMZXbMtN0ecmmU4cKJiwgf0laTWBHQSng/edit?usp=sharing</p> <p><strong>This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP14872400).</strong></p>
Study of the Effects of Daylighting and Artificial Lighting at 59° Latitude on Mental States, Behaviour and Perception - Dataset
<p>Dataset relative to manuscript "Study of the Effects of Daylighting and Artificial Lighting at 59° Latitude on Mental States, Behaviour and Perception", submitted to Sustainability journal</p>
Twitter mental health classification
<p>A dataset of songs shared by twitter users who have self identified as having an mental health disorder. Also some data in the same format by the control population.</p>
Dataset for the paper "The relationship between medical students' empathy, mental health, and burnout: A cross-sectional study" published in Medical Teacher (2022)
<p><strong>Full reference of the paper: </strong></p> <p>Valerie Carrard, Céline Bourquin, Sylvie Berney, Katja Schlegel, Jacques Gaume, Pierre-Alexandre Bart, Martin Preisig, Marianne Schmid Mast & Alexandre Berney (2022): The relationship between medical students’ empathy, mental health, and burnout: A cross-sectional study, Medical Teacher, DOI: <a href="https://doi.org/10.1080/0142159X.2022.2098708">10.1080/0142159X.2022.2098708</a></p>
Individualized mental fatigue does not impact neuromuscular function and exercise performance
<p>Previous work has shown that mental fatigue may have negative consequences on cognitive or physical performance, although recent reports question this previous empirical evidence. Here, we investigate the critical role of inter-individual differences in susceptibility to develop mental fatigue by measuring neurophysiological and physical responses to an individualized mental fatigue task. We expected mental load to alter both subjective, i.e., increased subjective perception of fatigue, and objective markers of fatigue, i.e., impaired knee extensor neuromuscular function, impaired corticospinal excitability and reduced cerebral oxygenation. Even though all participants performed a similar mental effort, their performance in a subsequent exercise did not differ. Furthermore, even if there was an elevated subjective feeling of mental fatigue, none of the neurophysiological parameters were affected. The study provides new insights into an issue that has grown in popularity in recent years without questioning individual differences and which has taken for granted the detrimental effect of acute mental fatigue on performance.</p>
The Co-Researchers Journey in CoAct for Mental Health
<p>This graphic document is a testimony of the Co-Researchers’ contribution to CoAct for Mental Health over a long and still unfinished journey, from 2020 to 2022. Co-Researchers, people with mental health problems and their families, have been the main actors of this research, as in-the-field competent experts. The research involved launching a chatbot in Telegram where anyone can listen to their lived experiences and react to them. Co-Researchers have been involved in the interpretation of the data collected and drew conclusions to make political recommendations and support specific demands.CoAct for Mental Health is part of CoAct (Co-designing Citizen Social Science for Collective Action), a project funded by the European Union’s Horizon 2020 research and innovation programme. CoAct understands Citizen Social Science as participatory research co-designed and directly driven by citizen groups sharing a social concern. We expect to upscale this project at a more global level and to replicate it to other social pressing issues.</p>
The Transformative Storytelling Technique for Developing Guided Digital Narratives in Mental Health Support. Pilot study
<p>In a society where advances and innovations occur on a daily basis, the development of digital mental health tools continues at almost uncontrollable rates. Following trends in the utilization of storytelling across fields and reflecting on the lack of working models and frameworks for the application of storytelling for mental health support, the Transformative Storytelling Technique (TST) is designed and developed as a part of this work. This technique represents a new category for creating hybrid content to guide the experience of audiences, starting with the case of informal caregivers. In this pilot study, a TST caregiver story is assessed pre-post in an interventional study, investigating the potential role of mental health audio stories in supporting informal caregiver wellbeing. The anonymized raw dataset is available.</p>
Having an optimal race with hypnosis: Efficient mental training with a hypnosis audio-intervention in professional Downhill Mountainbike athletes
<p>We tested 19 professional downhill mountainbike athletes participating in two consecutive races of the IXS Downhill Cup. All athletes listened to a hypnosis audio-intervention at least one time after the first race. We instructed the athletes to use the personal post-hypnotic trigger to elicit an optimal mental state in the second race. At both races, we measured competitive anxiety, self-confidence, state resilience, and flow with questionnaires and assessed heart rate variability (HRV) as a physiological measure of resilience.</p> <p>HRV data was measuared using the Polar H10 chest strap and recorded via the Polar Sensor Logger Application. HRV was analysed with Kubios HRV Standard version 3.5.0 Analysis Software. All data were analysed with R.</p> <p>The original recording of the hypnosis audio-intervention is accessible via this link: <a href="https://www.nina-hoffmann.com/mental">https://www.nina-hoffmann.com/mental</a>.</p>
Dataset for the paper "Exposure of medical students to sexism and sexual harassment and their association with mental health: a cross-sectional study at a Swiss medical school" published in BMJ Open (2023)
<p><strong>Full reference of the paper: </strong></p> <p>Barbier JM, Carrard V, Schwarz J, et al. Exposure of medical students to sexism and sexual harassment and their association with mental health: a cross-sectional study at a Swiss medical school. BMJ Open 2023;13:e069001. doi:10.1136/bmjopen-2022-069001</p>
Positive mental health among sports coaches: A six-month longitudinal study
<p><span>Positive mental health is important for sports coaches to keep functioning well over time, but little is known about its longitudinal stability</span><span>. </span><span>Consequently, this study examined </span><span>stability and change of emotional, psychological, and social well-being in a sample of 422 sports coaches </span><span>(<em>M<sub>age</sub></em> = 44.48, <em>SD</em> = 11.03) in terms of measurement invariance, rank-order stability, mean-level change, stability of interindividual differences, and structural stability. Participants completed measures of emotional, psychological, and social well-being at baseline and again at three and six months. Multiple perspectives of stability and change were examined using structural equation modeling. The results confirm that the measure of positive mental health functions equivalently over time. Stability of well-being remained high, with rank-order stability coefficients ranging from .67 to .79 at three and six months, and no mean-level change in well-being was observed. The results also indicate stable interindividual differences and structural stability of positive mental health over time. These results confirm the importance of addressing any symptoms of diminished positive mental health in the coaching population.</span></p>
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OpenNeuro
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