Background: Progress in neuroimaging research has provided insight into the neurobiological mechanism underlying depression, specifically motivational anhedonia, which compromises patients' ability to initiate goal-directed action. Breit et al. formerly, using the same cohort versus controls; correlations with reduced motivation were observed within superiority SLF and precuneus and authors emphasized that such results should pave the way to biomarkers in drug grounded development.
Objective: This paper seeks to cross-fertilise neurobiological understandings of motivational anhedonia with novel therapeutic approaches, specifically showcasing how the confluence of rapid tele-psychotherapy with single-session music therapy (RTP-SSMT) represents a neurobiologically informed and scalable intervention for depressive disorders.
Content: Building on literature from diffusion tensor imaging (DTI) and resting-state fMRI, this review discusses the involvement of reduced local correlation in the precuneus-a key hub within DMN related to self-referential processing and rumination-coordinated with white matter alterations in the SLF connecting parietal and frontal cortices. It is suggested that RTP-SSMT may act to trigger dopaminergic reward pathways, re-normalize motivational circuits and augment behavioral activation tenets with a brief and technologically-driven approach. This paper also considers policy implications for incorporating creative-arts-based tele-therapies within stepped-care mental health services.
Implications: The proposed model highlights how musically driven treatments have the potential to increase access, cultural appropriateness, and motivational engagement with mental health interventions. It urges clinicians and policymakers to consider evidence-informed, neurobiologically targeted interventions to enhance treatment adherence and provide psychotherapy more broadly in clinical and community settings.
Conclusion: Integrating brain imaging results with new therapeutic concepts offers an opportunity for precision mental health care. Implementation of RTP-SSMT in mental health practice could revolutionize psychiatric treatment infrastructure for depression by integrating neuroscience, clinical innovation and policy to treat motivational anhedonia more effectively.
Background: Recent discussion on Ethical Big Data for Personalised Mental Health Nursing, highlights the pressing requirement to weave data ethics into mental health practice in relation to P4 medicine and systems thinking. Yet the bridge from ethical obligations to measurable methods is largely missing. The enhancement of statistical literacy is susceptible to culture shocks, which will then promote the development route of data-driven innovation toward humanistic and equitable mental health care.
Objective: The purpose of this paper is to articulate ethical statistical paths that could implement big data in mental health practice. It aims to show how sound statistical methods may make compatible the principles of predictive, preventive, personalised, and participatory as well as the aims of (P4) medicine.
Content: To complement Yıldız's ethical framework, this letter proposes statistical guidance influenced by Sutton's Applied Statistics Concepts for Counselors. The recommendations are organised around three major approaches: a regression-based predictive modelling approach to expose the predictive power of risk factors in a more transparent and fair manner; multivariate and multilevel analyses to maintain a focused approach to care while recognising that individual-level IRT might not exact the same influence at the system level; and non-parametric and robust statistics to sustain the desire for inclusiveness in terms of both population and individual data. The utilisation of these three sets of suggestions reveals how ethical and methodological rigour can co-occur in mental health data science.
Implications: If the ethical underpinnings of this statistical education were integrated into nursing and counselling training, we might develop a data-literate crop of future practitioners. System-level interventions-for example, the creation of Ethical Big-Data Guidelines for Mental Health are called for to require statistical validation of predictive technologies before clinical use. Those kinds of rules would make big data an augmentation, rather than a replacement, for human judgment in mental health care.
Conclusion: Responsible big data practice calls for a combination of ethical watchfulness and methodological care. The moment mental health professionals have the statistics and ethics of data explained to them, they turn information into wisdom-imagining a future that's both deeply scientific and deeply human.
Despite the well-documented physical and mental health benefits of physical activity, people experiencing mental health challenges remain significantly less active than the general population. Mental health nurses are well positioned to promote physical activity in mental healthcare, yet little is known about their knowledge, attitudes and practices in this area, especially in Germany.
This cross-sectional study surveyed 347 mental health nurses in Germany using the German version of the Exercise in Mental Illness Questionnaire (EMIQ-G). The questionnaire assessed knowledge, attitudes, perceived barriers and recommendation behaviour regarding physical activity. This manuscript follows the STROBE reporting guidelines.
Most participants were aware of the benefits of physical activity and recommended it regularly. However, only 28.8% had received formal training, and several limitations were observed regarding the quality of the recommendations: many participants did not assess clients' suitability for physical activity, a substantial proportion did not specify an intensity level, and there was a noticeable emphasis on aerobic exercises at the expense of other activity types. Mental health nurses showed a strong interest in further education, particularly regarding client motivation and appropriate exercise types.
While mental health nurses in Germany recognise the importance of physical activity and frequently recommend it in their mental health nursing practice, gaps in training and implementation remain. Targeted educational interventions and structural support are essential to enhance the quality and consistency of physical activity promotion in mental health nursing. These findings can inform tailored strategies to empower nurses and ultimately improve health outcomes for individuals experiencing mental health challenges.
The extended duration of untreated psychosis (DUP) in individuals with schizophrenia represents a significant challenge in mental healthcare delivery, potentially compromising treatment outcomes and recovery trajectories. Understanding the critical incidents that influence help-seeking behaviours remains crucial yet understudied from patients' perspectives.
To identify and analyse the critical incidents that influence help-seeking behaviours and duration of untreated psychosis in individuals with schizophrenia, and to examine the factors associated with these turning points.
In a qualitative study, 21 individuals in remission from schizophrenia participated in semi-structured interviews based on the critical incident technique. The COREQ guidelines were followed for reporting qualitative research. Interviews were analysed using reflexive thematic analysis to identify key themes and patterns.
Analysis revealed two primary domains: internal turning points (self-recognition of symptoms, personal coping strategies) and external catalysts (family intervention, crisis events). Family members emerged as crucial facilitators in the help-seeking process, with their involvement significantly reducing DUP. Educational background, cultural beliefs, and previous mental health awareness were identified as key factors influencing the timing of help-seeking behaviours.
These findings illuminate the complex interplay between personal, familial and social factors in determining when and how individuals with schizophrenia seek professional help. The results emphasise the critical role of family support systems in facilitating earlier intervention.
Mental health professionals can utilise these insights to develop targeted early intervention strategies and family education programs, potentially reducing DUP and improving treatment outcomes for individuals experiencing first-episode psychosis.
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：