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Abstract Aim To address the need for additional education in the management of mental illness in the critical care setting by providing a broad overview of the interrelationship between critical illness and mental illness. The paper also offers practical advice to support critical care staff in managing patients with mental illness in critical care by discussing two hypothetical case scenarios involving aggressive and disorganised behaviour. People living with mental illness are over‐represented among critically unwell patients and experience worse outcomes, contributing to a life expectancy up to 30 years shorter than their peers. Strategic documents call for these inequitable outcomes to be addressed. Staff working in intensive care units (ICUs) possess advanced knowledge and specialist skills in managing critical illness but have reported limited confidence in managing patients with comorbid mental illness. Design & Methods A discursive paper, drawing on clinical experience and research of the authors and current literature. Results Like all people, patients with mental illnesses draw on their cognitive, behavioural, social and spiritual resources to cope with their experiences during critical illness. However, they may have fewer resources available due to co‐morbid mental illness, a history of trauma and social disadvantage. By identifying and sensitively addressing patients' underlying needs in a trauma‐informed way, demonstrating respect and maximising patient autonomy, staff can reduce distress and disruptive behaviours and promote recovery. Caring for patients who are distressed and/or display challenging behaviours can evoke strong and unpleasant emotional responses. Self‐care is fundamental to maintaining a compassionate approach and effective clinical judgement. Staff should be enabled to accept and acknowledge emotional responses and access support—informally with peers and/or through formal mechanisms as needed. Organisational leadership and endorsement of the principles of equitable care are critical to creation of the environment needed to improve outcomes for staff and patients. Relevance to clinical practice ICU nurses hold an important role in the care of patients with critical illnesses and are ideally placed to empower, advocate for and comfort those patients also living with mental illness. To perform these tasks optimally and sustainably, health services have a responsibility to provide nursing staff with adequate education and training in the management of mental illnesses, and sufficient formal and informal support to maintain their own well‐being while providing this care. Patient and public involvement This paper is grounded in accounts of patients with mental illness and clinicians providing care to patients with mental illness in critical care settings but there was no direct patient or public contribution.

This document is a summary of the top papers published in the journal Brain Sciences in 2022-2023. The papers cover a range of topics in neuropsychology, including the brain correlates of social and emotional processes, stress-related pathologies, phobias, substance use disorders, and addiction. One paper focuses on the negative effects of excessive use of social networking sites, while another examines the toxic effects of synthetic cannabinoids. Other papers explore the brain correlates of eating disorders, stress measurement in daily life situations, the role of body memories in mental health problems, cognitive impairments in patients with psychotic episodes, the impact of the COVID-19 pandemic on clinical and research activities, and the study of normal and atypical development. Two papers specifically address developmental dyslexia, looking beyond the traditional phonological interpretation of the disorder. Overall, these papers contribute to a better understanding of various neuropsychological issues and offer insights for potential interventions and treatments. [Extracted from the article]

Sex differences exist in many neurological and psychiatric diseases, but these have not always been addressed adequately in research. In order to address this, it is necessary to consider how sex is incorporated into the design (e.g. using a balanced design) and into the analyses (e.g. using sex as a covariate) in the published literature. We surveyed papers published in 2009 and 2019 across six journals in neuroscience and psychiatry. In this sample, we find a 30% increase in the percentage of papers reporting studies that included both sexes in 2019 compared with 2009. Despite this increase, in 2019 only 19% of papers in the sample reported using an optimal design for discovery of possible sex differences, and only 5% of the papers reported studies that analysed sex as a discovery variable. We conclude that progress to date has not been sufficient to address the importance of sex differences in research for discovery and therapeutic potential for neurological and psychiatric disease. Sex differences occur in many neurological and psychiatric diseases, and yet research is not always designed optimally to identify these. Here the authors perform a study of how sex was incorporated into the design and analyses of papers published six journals in neuroscience and psychiatry in 2009 compared with 2019. [ABSTRACT FROM AUTHOR]

Aim: To address the need for additional education in the management of mental illness in the critical care setting by providing a broad overview of the interrelationship between critical illness and mental illness. The paper also offers practical advice to support critical care staff in managing patients with mental illness in critical care by discussing two hypothetical case scenarios involving aggressive and disorganised behaviour. People living with mental illness are over‐represented among critically unwell patients and experience worse outcomes, contributing to a life expectancy up to 30 years shorter than their peers. Strategic documents call for these inequitable outcomes to be addressed. Staff working in intensive care units (ICUs) possess advanced knowledge and specialist skills in managing critical illness but have reported limited confidence in managing patients with comorbid mental illness. Design & Methods: A discursive paper, drawing on clinical experience and research of the authors and current literature. Results: Like all people, patients with mental illnesses draw on their cognitive, behavioural, social and spiritual resources to cope with their experiences during critical illness. However, they may have fewer resources available due to co‐morbid mental illness, a history of trauma and social disadvantage. By identifying and sensitively addressing patients' underlying needs in a trauma‐informed way, demonstrating respect and maximising patient autonomy, staff can reduce distress and disruptive behaviours and promote recovery. Caring for patients who are distressed and/or display challenging behaviours can evoke strong and unpleasant emotional responses. Self‐care is fundamental to maintaining a compassionate approach and effective clinical judgement. Staff should be enabled to accept and acknowledge emotional responses and access support—informally with peers and/or through formal mechanisms as needed. Organisational leadership and endorsement of the principles of equitable care are critical to creation of the environment needed to improve outcomes for staff and patients. Relevance to clinical practice: ICU nurses hold an important role in the care of patients with critical illnesses and are ideally placed to empower, advocate for and comfort those patients also living with mental illness. To perform these tasks optimally and sustainably, health services have a responsibility to provide nursing staff with adequate education and training in the management of mental illnesses, and sufficient formal and informal support to maintain their own well‐being while providing this care. Patient and public involvement: This paper is grounded in accounts of patients with mental illness and clinicians providing care to patients with mental illness in critical care settings but there was no direct patient or public contribution. [ABSTRACT FROM AUTHOR]

The problem of mental health in academia is increasingly discussed in literature, and to extract meaningful insights from the growing amount of scientific publications, text mining approaches are used. In this study, BERTopic, an advanced method of topic modeling, was applied to abstracts of 2,846 PubMed articles on depression, anxiety, and burnout in academia published in years 1975-2023. BERTopic is a modular technique comprising a text embedding method, a dimensionality reduction procedure, a clustering algorithm, and a weighing scheme for topic representation. A model was selected based on the proportion of outliers, the topic interpretability considerations, topic coherence and topic diversity metrics, and the inevitable subjectivity of the criteria was discussed. The selected model with 27 topics was explored and visualized. The topics evolved differently with time: research papers on students' pandemic-related anxiety and medical residents' burnout peaked in recent years, while publications on psychometric research or internet-related problems are yet to be presented more amply. The study demonstrates the use of BERTopic for analyzing literature on mental health in academia and sheds light on areas in the field to be addressed by further research. [ABSTRACT FROM AUTHOR]

Background: The most impactful research on pediatric type 1 diabetes (T1D) remains unknown. Objective: We aimed to evaluate the characteristics and impact of the 100 most-cited articles on pediatric T1D. Materials and Methods: Using a predefined bibliometric strategy, the Scopus database was searched for high-cited papers (HCPs) published from 2001 to 2020. Articles were evaluated for data on the publication year, countries, authors, journals, topics, and types. Social network analysis was performed to visualize the interaction among countries, organizations, and authors using VOSviewer software. Results: The top 100 HCPs received 390 to 4634 citations, averaging 773.5 citations per paper (CPP). The funded HCPs (n = 50) had a higher impact (CPP 791.5). The majority of HCPs (n = 83) were collaborative. Classifying by research type, 65 studies were clinical (n = 65), risk factors (n = 27), epidemiology (n = 26), pathophysiology (n = 16), treatment outcome (n = 13), genetics (n = 12), complications (n = 3), quality of life (n = 2), and prognosis (n = 1). The number of authors involved was 1,101, affiliated with 545 organizations in 27 countries; the USA (n = 64) and the UK (n = 24) were the most productive countries, whereas Australia and the UK were the most impactful. D.M. Nathan and J.M. Lawrence were the most prolific authors, while P. Raskin and J.M. Lachin were the most impactful. Conclusions: High-income countries such as the USA, UK, and Australia contribute significantly to high-impact pediatric T1D research. Funding and collaboration improve the impact of citations in publications. Less researched areas such as treatment outcomes, genetics, complications, quality of life, and prognosis should be the focus of future research on pediatric T1D. [ABSTRACT FROM AUTHOR]

Background and Hypothesis Processing speed dysfunction is a core feature of psychosis and predictive of conversion in individuals at clinical high risk (CHR) for psychosis. Although traditionally measured with pen-and-paper tasks, computerized digit symbol tasks are needed to meet the increasing demand for remote assessments. Therefore we: (1) assessed the relationship between traditional and computerized processing speed measurements; (2) compared effect sizes of impairment for progressive and persistent subgroups of CHR individuals on these tasks; and (3) explored causes contributing to task performance differences. Study Design Participants included 92 CHR individuals and 60 healthy controls who completed clinical interviews, the Brief Assessment of Cognition in Schizophrenia Symbol Coding test, the computerized TestMyBrain Digit Symbol Matching Test, a finger-tapping task, and a self-reported motor abilities measure. Correlations, Hedges' g, and linear models were utilized, respectively, to achieve the above aims. Study Results Task performance was strongly correlated (r  = 0.505). A similar degree of impairment was seen between progressive (g  = −0.541) and persistent (g  = −0.417) groups on the paper version. The computerized task uniquely identified impairment for progressive individuals (g  = −477), as the persistent group performed similarly to controls (g  = −0.184). Motor abilities were related to the computerized version, but the paper version was more related to symptoms and psychosis risk level. Conclusions The paper symbol coding task measures impairment throughout the CHR state, while the computerized version only identifies impairment in those with worsening symptomatology. These results may be reflective of sensitivity differences, an artifact of existing subgroups, or evidence of mechanistic differences. [ABSTRACT FROM AUTHOR]

Objective: Despite the frequent comorbidity of substance use disorders (SUDs) and psychiatric disorders, it remains unclear if screening for substance use in behavioral health clinics is a common practice. The aim of this review is to examine what is known about systematic screening for substance use in outpatient behavioral health clinics. Methods: We conducted a PRISMA-based systematic literature search assessing substance use screening in outpatient adult and pediatric behavioral health settings in PubMed, Embase, and PsycINFO. Quantitative studies published in English before May 22, 2020 that reported the percentage of patients who completed screening were included. Results: Only eight articles met our inclusion and exclusion criteria. Reported prevalence of screening ranged from 48 to 100%, with half of the studies successfully screening more than 75% of their patient population. There were limited data on patient demographics for individuals who were and were not screened (e.g., gender, race) and screening practices (e.g., electronic versus paper/pencil administration). Conclusions: The results of this systematic review suggest that successful screening for substance use in behavioral health settings is possible, yet it remains unclear how frequently screening occurs. Given the high rates of comorbid SUD and psychopathology, future research is necessary regarding patient and clinic-level variables that may impact the successful implementation of substance use screening. Trial registry A methodological protocol was registered with the PROSPERO systematic review protocol registry (ID: CRD42020188645). [ABSTRACT FROM AUTHOR]

Objective: The number of citations to a paper represents the weight of that work in a particular area of interest. Several highly cited papers are listed in the bibliometric analysis. This study aimed to identify and analyze the 100 most cited papers in insomnia research that might appeal to researchers and clinicians. Methods:We reviewed theWeb of Science (WOS) Core Collection database to identify articles from 1985 to 24 March 2022. The R bibliometric package was used to further analyze citation counts, authors, year of publication, source journal, geographical origin, subject, article type, and level of evidence. Word co-occurrence in 100 articles was visualized using VOS viewer software. Results: A total of 44,654 manuscripts were searched on the Web of Science. Between 2001 and 2021, the top 100 influential manuscripts were published, with a total citation frequency of 38,463. The top countries and institutions contributing to the field were the U.S. and Duke University. Morin C.M. was the most productive author, ranking first in citations. Sleep had the highest number of manuscripts published in the top 100 (n = 31), followed by Sleep Medicine Reviews (n = 9). The most cited manuscript (Bastien et al., Sleep Medicine, 2001; 3,384 citations) reported clinical validation of the Insomnia Severity Index (ISI) as a brief screening indicator for insomnia and as an outcome indicator for treatment studies. Co-occurrence analyses suggest that psychiatric disorders combined with insomnia and cognitive behavioral therapy remain future research trends. Conclusion: This study provides a detailed list of the most cited articles on insomnia. The analysis provides researchers and clinicians with a detailed overview of the most cited papers on insomnia over the past two decades. Notably, COVID-19, anxiety, depression, CBT, and sleep microstructure are potential areas of focus for future research. [ABSTRACT FROM AUTHOR]

Around a third of the total population of Europe suffers from mental disorders. The use of electroencephalography (EEG) together with Machine Learning (ML) algorithms to diagnose mental disorders has recently been shown to be a prominent research area, as exposed by several reviews focused on the field. Nevertheless, previous to the application of ML algorithms, EEG data should be correctly preprocessed and prepared via Feature Engineering (FE). In fact, the choice of FE techniques can make the difference between an unusable ML model and a simple, effective model. In other words, it can be said that FE is crucial, especially when using complex, non-stationary data such as EEG. To this aim, in this paper we present a Systematic Mapping Study (SMS) focused on FE from EEG data used to identify mental disorders. Our SMS covers more than 900 papers, making it one of the most comprehensive to date, to the best of our knowledge. We gathered the mental disorder addressed, all the FE techniques used, and the Artificial Intelligence (AI) algorithm applied for classification from each paper. Our main contributions are: (i) we offer a starting point for new researchers on these topics, (ii) we extract the most used FE techniques to classify mental disorders, (iii) we show several graphical distributions of all used techniques, and (iv) we provide critical conclusions for detecting mental disorders. To provide a better overview of existing techniques, the FE process is divided into three parts: (i) signal transformation, (ii) feature extraction, and (iii) feature selection. Moreover, we classify and analyze the distribution of existing papers according to the mental disorder they treat, the FE processes used, and the ML techniques applied. As a result, we provide a valuable reference for the scientific community to identify which techniques have been proven and tested and where the gaps are located in the current state of the art. [ABSTRACT FROM AUTHOR]

Background: The increase in mental health problems among college students has become a global challenge, with anxiety and depression in particular becoming increasingly prevalent. Positive psychology has gained attention as an important psychological intervention that emphasizes improving mental health by promoting positive emotions and mindfulness. However, with the diversity of reading styles, however, there is a lack of systematic research on these effects. Therefore, this study aims to explore the specific effects of different reading styles on college students' mental health and quality of life based on positive psychology, with the aim of providing more effective interventions and recommendations for improving college students' mental health. Methods: This study used a two-round questionnaire to select students with mental health problems and divided them into four experimental groups with a control group. The study was conducted by distributing questionnaires and experimental interventions, and a total of 2860 valid questionnaires were collected. The study used the Self-Assessment Scale for Anxiety (SAS) and the Self-Depression Scale (SDS) to assess the participants' anxiety and depression levels. In addition, the study used the Physical Composite Score (PCS) and the Mental Composite Score (MCS) to assess the participants' quality of life. SPSS 26.0 was used for data statistics and repeated measures ANOVA was used. Results: Paper text reading and audio reading methods were effective in reducing anxiety levels and improving sleep quality. However, the electronic text reading approach was less effective compared to paper text reading and audio reading, and the video reading approach was not effective in improving depression. In addition, the positive psychology literature reading intervention showed significant improvements in college students' quality of life scores. Conclusion: The results of this study suggest that paper text reading and audio reading modalities have a positive impact on the mental health and quality of life of college students, while e-text reading and video reading modalities are less effective. These findings provide suggestions for college students to choose appropriate reading styles and further demonstrate the effectiveness of positive psychology reading on mental health. These results have important academic and practical implications for promoting mental health and improving quality of life among college students. [ABSTRACT FROM AUTHOR]

Objectives: The present study examines the publication output of authors from India on the topic of "Covid-19 and Psychology" using bibliometric methods. Methods: The publications as listed in Scopus database were identified by using "Covid-19" and its synonyms keywords in "Keyword" and "Title" tags. The results obtained were further restricted to subject "Psychology" under subject tag and country to India. Results: 372 publications emerged in the last 2 years on the topic of "Covid-19 and Psychology", accounting to 4.63% share of global output. About 9.95% and 25.81% share of Indian publications received external funding support and involved international collaboration, respectively. The author's from 277 organizations and 416 authors participated unevenly in the research in this area. The highest number of publications emerged from National Institute of Mental Health and Allied Sciences (NIMHANS), Bangaluru, followed by Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, All India Institute of Medical Sciences (AIIMS), New Delhi and All India Institute of Medical Sciences (AIIMS), Bhubaneswar. Authors from Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry had highest impact in terms of citations per paper and relative citation index, followed by authors from King George's Medical University (KGMU), Lucknow, and Manipal Academy of Higher Education (MAHE), Manipal. The journals that published the highest number of publications were Asian Journal of Psychiatry (158 papers), Indian Journal of Psychological Medicine (44 papers), and Frontier in Psychology (18 papers). The most commonly investigated topics in terms of frequency of appearances of keywords were mental health (93), followed by anxiety (80), mental disease (68), depression (64), mental stress (34), and social isolation. Conclusion: Over the last 2 years a large number of publications have emerged in the area of COVID-19 and psychology from India. [ABSTRACT FROM AUTHOR]

Recently, there will be more than 4.62 billion social media users worldwide. A large number of users tend to publish personal emotional dynamics or express opinions on social media. These massive user data provide data support for the development of mental illness detection research and have achieved good results. However, it is difficult for current mental illness detection models to accurately identify key emotional features from a large number of posts issued by users to detect problem users. In view of the fact that the existing models cannot more accurately extract the words with high emotional contribution in the content of user posts, this paper proposes two hierarchical user post feature representation models, named Single-Gated LeakReLU-CNN (SGL-CNN) and Multi-Gated LeakyReLU-CNN (MGL-CNN). We leverage these 2 models to identify users with mental illness in online forums. For all posts published by each user within a certain time span, the model proposed in this paper can identify key emotional features in them and filter out other unimportant information as much as possible. In addition, the addition of gating units in this paper can significantly improve the performance of emotion detection tasks. The experimental results based on the task of RSDD dataset prove that the performance of the model proposed in this paper is superior to that of the existing methods. [ABSTRACT FROM AUTHOR]

Recent developments in the fields of natural language processing (NLP) and machine learning (ML) have shown significant improvements in automatic text processing. At the same time, the expression of human language plays a central role in the detection of mental health problems. Whereas spoken language is implicitly assessed during interviews with patients, written language can also provide interesting insights to clinical professionals. Existing work in the field often investigates mental health problems such as depression or anxiety. However, there is also work investigating how the diagnostics of eating disorders can benefit from these novel technologies. In this paper, we present a systematic overview of the latest research in this field. Our investigation encompasses four key areas: (a) an analysis of the metadata from published papers, (b) an examination of the sizes and specific topics of the datasets employed, (c) a review of the application of machine learning techniques in detecting eating disorders from text, and finally (d) an evaluation of the models used, focusing on their performance, limitations, and the potential risks associated with current methodologies. [ABSTRACT FROM AUTHOR]

This document is an editorial from the journal Frontiers in Psychiatry that explores the cultural and social implications of the COVID-19 pandemic. It discusses how different countries, minorities, and special populations have experienced and adapted to the pandemic. The editorial highlights various research articles that examine the impact of COVID-19 on healthcare professionals, students, trainees, residents, and special populations. The document provides a summary of these papers, which cover a range of topics including help-seeking messages, art therapy, mental health policies, behavioral patterns, medication trends, suicide rates, burnout among healthcare workers, and the management of long-term consequences. The document concludes by acknowledging the global impact of the pandemic and expressing hope for better understanding and addressing its challenges. [Extracted from the article]

Introduction and aim. Neurotrophins (NTFs) are polypeptide growth factors that regulate the outgrowth, differentiation, neurogenesis, and apoptotic death of neurons in the central and peripheral nervous systems. NTFs also control the function of several other cell populations such as lymphoid, epithelial, oligoglia, and mast cells. Physiological responses to neurotrophins are mediated by their binding to two types of receptors: the Trk (tropomyosin receptor kinase) family of RTKs (receptor tyrosine kinases) and, the p75 neurotrophin receptor (p75NTR). Neurotrophins such as: nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF) play a significant role in neuronal plasticity and network connectivity in the developing brain. The aim of the presentation is to discuss the latest research on the potential diagnostic and therapeutic significance of selected neurotrophins in the context of mental disorders. Material and methods. Notably, the role of BDNF and regulation of TrkB receptor expression in the pathophysiology and pharmacological treatment of depressive disorders have been proven. Furthermore, there is strong clinical evidence that the BDNF signaling pathway is involved in depression recovery both pharmacologically and psychologically. Analysis of literature. On the other hand, many studies have suggested that the primary molecular mechanism underlying antidepressant activity may be associated with increasing neurotrophin levels. Conclusion. Consequently, the neurotrophins and their receptors are promising therapeutic targets, and their modulation may have applications in new pharmacological strategies for psychiatric disorders. [ABSTRACT FROM AUTHOR]

After disasters, many people seek compensation for physical, psychological or economic damages. However, compensation processes can be perceived as arduous and unfair and potentially create stress for both individuals and communities. This systematic review explored the psychosocial impacts of post-disaster compensation processes, including compensation sought through both litigation and government assistance programmes. We searched seven databases, hand-searched reference lists of included studies, and used thematic analysis to synthesise results of included studies. We screened 6,532 papers, ultimately including 66 in the review. While we found mixed evidence regarding the relationship between individual mental health and the compensation process, many studies suggested the process placed demands on emotional resources and could cause stress. Numerous challenges of the compensation process were described, including complicated paperwork, lengthy processes, inadequate information, confusing eligibility criteria, lack of inter-agency cooperation, poor understanding of communities' unique needs, insufficient pay-outs, and politicisation of the process. Inequities in compensation distribution introduced additional stress to already traumatised communities, who often experienced resentment, envy and conflict. The mixed nature of the relationship between mental health and the compensation process was evident in research trends where a small number of studies reported positive findings related to relating to gratitude, helpfulness of compensation and strengthened community relationships, while a substantial number of others reported negative impacts including higher mental health problems. Positive and negative impacts were reported for both litigation and non-litigation compensation-seeking. The nuanced dynamics of these findings are described in greater detail within the paper. It is important that compensation regulators consider the potential impacts on individuals and communities and take steps to address compensation inequities. This enhanced understanding of how those affected by disasters can rebuild their lives and furthering understanding of how to support them will enable evidence-based approaches to building resilience and planning for long-term recovery. Significant compensation process improvements could be realised by ensuring clear communication and transparent decision-making. Overall, this review underscores the importance of ensuring that compensation processes are fair and straightforward so they can repair material losses without deteriorating the social norms and relationships of affected communities. [ABSTRACT FROM AUTHOR]

Cognitive impairment (CI) is a type of mental health disorder that mainly affects cognitive abilities, such as learning, memory, perception, and problem-solving. Currently, in clinical practice, the treatment of cognitive impairment mainly focuses on the application of cholinesterase inhibitors and NMDA receptor antagonists; however, there is no specific and effective drug yet. Procatechuic acid (PCA) possesses various functions, including antibacterial, antiasthmatic, and expectorant effects. In recent years, it has received growing attention in the cognitive domain. Therefore, by summarizing the mechanisms of action of procatechuic acid in the treatment of cognitive impairment in this paper, it is found that procatechuic acid has multiple effects, such as regulating the expression of neuroprotective factors, inhibiting cell apoptosis, promoting the autophagy-lysosome pathway, suppressing oxidative stress damage, inhibiting inflammatory responses, improving synaptic plasticity dysfunction, inhibiting Aβ deposition, reducing APP hydrolysis, enhancing the cholinergic system, and inhibiting the excitotoxicity of neuronal cells. The involved signaling pathways include activating Pi3K-akt-mTor and inhibiting JNK, P38 MAPK, P38-ERK-JNK, SIRT1, and NF-κB/p53, etc. This paper aims to present the latest progress in research on procatechuic acid, including aspects such as its chemical properties, sources, pharmacokinetics, mechanisms for treating neurodegenerative diseases. [ABSTRACT FROM AUTHOR]

Background: Housing insecurity can be understood as experiencing or being at risk of multiple house moves that are not through choice and related to poverty. Many aspects of housing have all been shown to impact children/young people's health and wellbeing. However, the pathways linking housing and childhood health and wellbeing are complex and poorly understood. Methods: We undertook a systematic review synthesising qualitative data on the perspectives of children/young people and those close to them, from the United Kingdom (UK). We searched databases, reference lists, and UK grey literature. We extracted and tabulated key data from the included papers, and appraised study quality. We used best fit framework synthesis combined with thematic synthesis, and generated diagrams to illustrate hypothesised causal pathways. Results: We included 59 studies and identified four populations: those experiencing housing insecurity in general (40 papers); associated with domestic violence (nine papers); associated with migration status (13 papers); and due to demolition-related forced relocation (two papers). Housing insecurity took many forms and resulted from several interrelated situations, including eviction or a forced move, temporary accommodation, exposure to problematic behaviour, overcrowded/poor-condition/unsuitable property, and making multiple moves. Impacts included school-related, psychological, financial and family wellbeing impacts, daily long-distance travel, and poor living conditions, all of which could further exacerbate housing insecurity. People perceived that these experiences led to mental and physical health problems, tiredness and delayed development. The impact of housing insecurity was lessened by friendship and support, staying at the same school, having hope for the future, and parenting practices. The negative impacts of housing insecurity on child/adolescent health and wellbeing may be compounded by specific life circumstances, such as escaping domestic violence, migration status, or demolition-related relocation. Conclusion: Housing insecurity has a profound impact on children and young people. Policies should focus on reducing housing insecurity among families, particularly in relation to reducing eviction; improving, and reducing the need for, temporary accommodation; minimum requirements for property condition; and support to reduce multiple and long-distance moves. Those working with children/young people and families experiencing housing insecurity should prioritise giving them optimal choice and control over situations that affect them. [ABSTRACT FROM AUTHOR]

The rising prevalence of mental health disorders in adolescents, compounded by treatment resistance, underscores the need for innovative interventions. Ketamine, recognized for its rapid antidepressant and anti-suicidal effects in adults, has recently emerged as a potential treatment for adolescents with treatment-resistant depression and suicidality. This paper aims to highlight key elements of the informed consent process, including obtaining parental consent and adolescent assent, and discussing the nature of ketamine treatment, its benefits, and potential risks. Obtaining informed consent for ketamine treatment in this demographic poses unique challenges. During the informed consent process, clinicians should balance an adolescent’s growing autonomy with parental consent and address the distinct features of treatment, including ketamine’s potential to induce psychedelic-like effects. Additionally, clinicians should highlight the “off-label” use in this population and the uncertainty inherent to treatment at this time, including the lack of data on repeated ketamine exposure on the developing brain. This paper also addresses challenging scenarios related to informed consent for this treatment, such as instances when parents are willing to consent but the adolescent refuses. Alternative treatment strategies such as transcranial magnetic stimulation (TMS) and electroconvulsive therapy (ECT) are also considered. In conclusion, while an emerging body of evidence suggests that ketamine shows potential for the acute treatment of adolescents with severe depression and suicidality, adherence to informed consent principles is paramount to ensure best clinical practices and uphold ethical standards amidst the current landscape of ongoing research. [ABSTRACT FROM AUTHOR]

Coping with academic demands can be challenging for university students with Attention-Deficit/Hyperactivity Disorder (ADHD). Treatment can help them cope and prevent related mental health issues. The present study aimed to investigate the feasibility of a randomized controlled trial for group Cognitive Behavioural Therapy (CBT), including the use of an app for CBT homework assignments, and to explore the effects of CBT for university students with ADHD. University students (n = 36) participated in the first phase of the study, involving the design of an app to present CBT homework assignments, by evaluating prototypes of the app along with the development team. In the second phase, a pre- vs. post-test design was used. Students with ADHD (n = 7) were offered manual-based CBT once a week for 6 weeks using the app or a paper manual to do the homework, as preferred. University students who took part in the development of the app noted that they would rather use the app than a printed manual. On the other hand, participants in the CBT feasibility study preferred doing homework on paper rather than using the developed app. They all found group CBT and the key elements in the CBT manual helpful. The findings suggest that providing group CBT for university students with ADHD through 6 sessions is feasible and assessing its effects in a randomized controlled trial (RCT) is feasible. Such treatment might improve coping with ADHD symptoms and related mental health issues. Further studies on the development of an app supporting CBT are needed. Trial registration Registry name: Cognitive Behavioural Therapy for University Students with Attention-deficit Hyperactivity Disorder (ADHD). URL: https://register.clinicaltrials.gov. Registration number: NCT 04714866. [ABSTRACT FROM AUTHOR]

In December 2022, the death of Christopher Clunis was made public. He had actually died in February 2021. Christopher Clunis was convicted of the manslaughter of a stranger, Jonathan Zito. He attacked Mr Zito at a train station. This paper will argue that this terrible event became a totemic symbol of the wider failings of the policy of community care. The image of Clunis being driven away from Court was repeatedly used in newspaper and other media reports as a reference point. The image reflects a number of long-standing traits in the representation of the "mentally ill." These are combined with a racial stereotype of Black men. The paper examines historical representations of the mentally ill as a context for a discussion of the Clunis case. The paper uses the work of Stuart Hall as an analytical tool to examine the questions of race and representation, and the moral panic following failings of community care. [ABSTRACT FROM AUTHOR]

Introduction and aim. Recent functional connectivity studies showed that increased synchrony between the right anterior insula and the default mode network is associated with psychosis. This association is proposed to be correlated with the disrupted dynamics between the pre-reflective and reflective temporal experience in psychotic patients. The aim of the research is to assess the proposed association through the research question: How is the relation between the dynamics, of the right anterior insula, the Default Mode (DMN), Central Executive (CEN) and Salience (SAL) networks, and the dynamic between the implicit pre reflexive and explicit reflexive temporal experience, in schizophrenia patients? The hypothesis is, there is a reciprocal constitutive relation between the functional dynamics of these large-scale brain networks and these temporal, bodily experiences, which is out of synchrony in schizophrenia patients. Material and methods. Sample of 44 patients (n=44, schizophrenia undifferentiated (F20.3 ICD-11, 295.9 DSM-V)), 1-year diagnosis (Max.) & 44 healthy controls, paired by age & sex. Includes a Phenomenologically informed interview and an fMRI scan (breath & heart rate monitoring during the trials). The first trial consists of a resting state fMRI (whole-body MR unit with an eight-channel head coil), and the imaging sequences will be conducted under darkness. The second trial will be the same but the participant will be asked to keep their eyes open while watching the screen, where a digital clock will be presented for 10 minutes. Analysis of literature. A study evidenced that the Ultra High- Risk subjects had greater periods of synchrony between the right anterior insula and the DMN and lost the competitive dynamics between the synchronic activity of the SAL and DMN, and the CEN and insular activity (along with DMN deactivation). Another study suggests that the latter impairment in the triple network dynamics may be associated with the loss of contact with reality suffered by psychotic patients, along with a morbidly excessive awareness of the individual realm; the latter could be associated with the greater synchronic pattern between the right anterior insula and the DMN. Conclusion. It is concluded that DMN activity is associated with the temporal experience. A solid support is offered to the claim that the main temporal disturbance experienced by schizophrenia patients, is associated with disturbed dynamics of the triple network activity. [ABSTRACT FROM AUTHOR]

Introduction and aim. According to WHO 23 million children and adolescent were diagnosed with depression in 2019. What's more, the Institute of Metrics and Health Assessment indicates that 86,000 of young people suffer from bipolar disorder. Generally, in recent years there has been noticeable increase in the number of minors diagnosed with affective disorders. These people experience depressed mood, loss of interest, and anhedonia. Moreover, there is a strong relationship between affective disorders and suicidal behavior. Due to the low specificity of the occurring symptoms and the high frequency of co-occurrence of other mental illnesses, affective disorders are difficult to unequivocally diagnose. Material and methods. We will focus on the most up-to-date research and clinical results. Analysis of literature. As previous research on potential treatments for affective disorders focused on adult patients, potential treatments for minors still require validation studies. Nowadays, treatment recommendations include application of psychopharmacotherapy combined with psychosocial interventions (cognitive-behavioral and interpersonal therapies are recognized as the most effective). Of the antidepressants, fluoxetine and escitalopram are the most commonly used in the therapy of adolescent depression. Recent studies show that atypical antipsychotics, such as risperidone, may be the most effective in treatment of bipolar disorder, though they carry a risk of causing more metabolic disorders in young people. Conclusion. The aim of this study is to present the issues of diagnosing affective disorders in children and adolescents, taking into account the specificity and selectivity of the observed symptoms. In addition, a discussion of potential treatment methods, with emphasis on their effectiveness and safety will be presented. [ABSTRACT FROM AUTHOR]

Background: Severe and enduring anorexia nervosa (SE-AN) is amongst the most impairing of all mental illnesses. Collective uncertainties about SE-AN nosology impacts treatment refinement. Qualitative research, particularly lived experience literature, can contribute to a process of revision and enrichment of understanding the SE-AN experience and further develop treatment interventions. Poor outcomes to date, as evidenced in clinical trials and mortality for people with SE-AN (1 in 20) demonstrate the need for research that informs conceptualisations and novel treatment directions. This interpretative, meta-ethnographic meta-synthesis aimed to bridge this gap. Methods: A systematic search for qualitative studies that explored the AN experiences of people with a duration of greater than 3 years was undertaken. These studies included those that encompassed phenomenology, treatment experiences and recovery. Results: 36 papers, comprising 382 voices of SE-AN experiences informed the meta-ethnographic findings. Four higher order constructs were generated through a synthesis of themes and participant extracts cited in the extracted papers: (1) Vulnerable sense of self (2) Intra-psychic processes (3) Global impoverishment (4) Inter-psychic temporal processes. Running across these meta-themes were three cross cutting themes (i) Treatment: help versus harm, (ii) Shifts in control (iii) Hope versus hopelessness. These meta-themes were integrated into conceptualisations of SE-AN that was experienced as a recursive process of existential self-in-relation to other and the anorexia nervosa trap. Conclusions: The alternative conceptualisation of SE-AN proposed in this paper poses a challenge to current conceptualisations of AN and calls for treatments to engage with the complex intra and inter-psychic processes of the SE-AN, more fully. In doing so, clinicians and researchers are asked to continue to be bold in testing novel ideas that may challenge our own rigidity and attachment to dominant paradigms to best serve the individual person with SE-AN. The 'global impoverishment of self', found in this synthesis of AN experiences, should inform proposed diagnostic criteria for SE-AN. [ABSTRACT FROM AUTHOR]

Deep-brain stimulation (DBS) is a highly effective and safe medical treatment that improves the lives of patients with a wide range of neurological and psychiatric diseases. It has been established as a first-line tool in the treatment of these conditions for the past two decades. Closed-loop deep-brain stimulation (CLDBS) advances this tool further by automatically adjusting the stimulation parameters in real time based on the brain's response. In this context, this paper presents a low-noise amplifier (LNA) and a neurostimulator circuit fabricated using the low-power/low-voltage 65 nm CMOS process from TSMC. The circuits are specifically designed for implantable applications. To achieve the best tradeoff between input-referred noise and power consumption, metaheuristic algorithms were employed to determine and optimize the dimensions of the LNA devices during the design phase. Measurement results showed that the LNA had a gain of 41.2 dB; a 3 dB bandwidth spanning over three decades, from 1.5 Hz to 11.5 kHz; a power consumption of 5.9 µW; and an input-referred noise of 3.45 µVRMS, from 200 Hz to 11.5 kHz. The neurostimulator circuit is a programmable Howland current pump. Measurements have shown its capability to generate currents with arbitrary shapes and ranging from −325 µA to +318 µA. Simulations indicated a quiescent power consumption of 0.13 µW, with zero neurostimulation current. Both the LNA and the neurostimulator circuits are supplied with a 1.2 V voltage and occupy a microdevice area of 145 µm × 311 µm and 88 µm × 89 µm, respectively, making them suitable for implantation in applications involving closed-loop deep-brain stimulation. [ABSTRACT FROM AUTHOR]

In the face of the unprecedented public health crisis caused by the novel coronavirus pneumonia epidemic, front-line health workers are under enormous mental pressure. This paper aims to explore the mental health challenges faced by front-line health workers in the early stages of a public health emergency, such as stress, anxiety, and depression. At the same time, the factors that increase their mental stress are analyzed, and practical measures are put forward to prevent and manage mental health problems, aiming at improving the quality of medical treatment during public health emergencies. This paper has some reference value for people engaged in mental health prevention. [ABSTRACT FROM AUTHOR]

Schizophrenia is a complex psychiatric disorder characterized by a wide array of cognitive impairments. While research has predominantly focused on the neurological aspects of schizophrenia, emerging evidence suggests that the immune system, specifically eosinophils, may play a significant role in the cognitive deficits associated with the disorder. This review presents a novel perspective on the interplay between eosinophils and cognitive impairment in schizophrenia. Eosinophils, traditionally associated with allergic responses and inflammation, have garnered limited attention within the realm of neuropsychiatry. Recent studies have hinted at a potential link between eosinophil activation and the pathogenesis of schizophrenia. In this comprehensive review, we delve into the world of eosinophils, elucidating their nature, functions, and interactions with the immune system. We examine the cognitive deficits observed in individuals with schizophrenia and discuss existing theories on the etiology of these impairments, focusing on immune system involvement. The paper also highlights the evolving body of research that supports the idea of eosinophilic influence on schizophrenia-related cognitive deficits. Furthermore, we explore potential mechanisms through which eosinophils may exert their effects on cognitive function in schizophrenia, including interactions with other immune cells and inflammatory pathways. By discussing the clinical implications and potential therapeutic avenues stemming from this newfound perspective, we underscore the practical significance of this emerging field of research. While this paper acknowledges the limitations and challenges inherent in studying eosinophils within the context of schizophrenia, it serves as a posit for novel thought in this vexing disease space as well as a call to action for future research endeavors. By providing a comprehensive survey of the existing literature and posing unanswered questions, we aim to inspire a reimagining of the relationship between eosinophils and cognitive impairment in schizophrenia, ultimately advancing our understanding and treatment of this debilitating disorder. [ABSTRACT FROM AUTHOR]

This document is a summary of a special issue of the journal Biomedicines on translational laboratory and experimental medicine for neurological diseases and mental illnesses. The issue includes 21 papers that explore various topics such as stroke and neuroplasticity, age and behavioral studies, neuropsychiatric disorders and treatments, and mental health and disorders. The papers provide insights into the mechanisms underlying these conditions and offer perspectives on therapeutic strategies and interventions. The goal of the special issue is to improve our understanding of brain function and mental health and to develop real-world applications to benefit individuals affected by these disorders. [Extracted from the article]

The rapid advancement of technology has created new opportunities to improve the accuracy and efficiency of medical diagnoses, treatments, and overall patient care in several medical domains, including mental health. One promising novel approach is federated learning, a machine learning approach that allows multiple devices to train a shared model without exchanging raw data. Instead of centralizing the data in one location, each device or machine holds a portion of the data and collaborates with other devices to update the shared model. In this way, federated learning enables training on more extensive and diverse datasets than would be possible with centralized training while preserving the privacy and security of individual data. In the mental health domain, federated learning has the potential to improve mental disorders' detection, diagnosis, and treatment. By pooling data from multiple sources while maintaining patient privacy by keeping data secure and ensuring that they are not used for unauthorized purposes. This literature survey reviews recent studies that have exploited federated learning in the psychiatric domain, covering multiple data resources and different machine-learning techniques. Furthermore, we formulate the gap in the current methodologies and propose new research directions. [ABSTRACT FROM AUTHOR]

This paper disputes the thesis that a self-reported mental condition of apparent genetic origin makes its carriers entertain entrepreneurial intentions and assesses its implications for entrepreneurship-driven economic development. The findings are that the research in question mistakes true causative agents for superficial cause-hiding vectors, thus confusing a self-reported attention-deficit/hyperactivity disorder (ADHD) condition with the cause of entrepreneurial intentions. This is all the more so because ADHD was not properly accounted for, relying instead on the Global University Entrepreneurial Spirit Students Survey (GUESSS), self-administered without diagnostic evidence. Thus, entrepreneurship has been turned on its head, being misrepresented as a hardwired, innate human trait instead of a course of action that hinges on subjective preferences that can be influenced by the structure of rewards shaped by public policy. This misrepresentation may dwell in the so-called 'hardness bias', which underestimates the softer but crucial test of the quality of conjectures. The originality of this paper lies in the use of the harmful-dysfunction analysis, showing that the entrepreneurship research in question is based on a bogus notion of disorder. [ABSTRACT FROM AUTHOR]

Background: Research priority setting aims to identify research gaps within particular health fields. Given the global burden of mental illness and underfunding of mental health research compared to other health topics, knowledge of methodological procedures may raise the quality of priority setting to identify research with value and impact. However, to date there has been no comprehensive review on the approaches adopted with priority setting projects that identify mental health research, despite viewed as essential knowledge to address research gaps. Hence, the paper presents a summary of the methods, designs, and existing frameworks that can be adopted for prioritising mental health research to inform future prioritising projects. Method: A systematic review of electronic databases located prioritisation literature, while a critical interpretive synthesis was adopted whereby the appraisal of methodological procedures was integrated into the synthesis of the findings. The synthesis was shaped using the good practice checklist for priority setting by Viergever and colleagues drawing on their following categories to identify and appraise methodological procedures: (1) Comprehensive Approach—frameworks/designs guiding the entire priority setting; (2) Inclusiveness –participation methods to aid the equal contribution of stakeholders; (3) Information Gathering—data collecting methods to identify research gaps, and (4) Deciding Priorities—methods to finalise priorities. Results: In total 903 papers were located with 889 papers removed as either duplicates or not meeting the inclusion and exclusion criteria. 14 papers were identified, describing 13 separate priority setting projects. Participatory approaches were the dominant method adopted but existing prioritisation frameworks were modified with little explanation regarding the rationale, processes for adaptation and theoretical foundation. Processes were predominately researcher led, although with some patient involvement. Surveys and consensus building methods gathered information while ranking systems and thematic analysis tend to generate finalised priorities. However, limited evidence found about transforming priorities into actual research projects and few described plans for implementation to promote translation into user-informed research. Conclusion: Prioritisation projects may benefit from justifying the methodological approaches taken to identify mental health research, stating reasons for adapting frameworks alongside reasons for adopting particular methods, while finalised priorities should be worded in such a way as to facilitate their easy translation into research projects. [ABSTRACT FROM AUTHOR]

Background: Needs assessment is one of the fundamental humanitarian responses to sudden-onset or long-lasting emergencies. The Humanitarian Emergency Settings Perceived Needs Scale (HESPER)/ HESPER Web are valid scales for identifying perceived needs among humanitarian or disaster-affected populations, both in humanitarian practice and in science. This scoping review aimed to determine the scientific use of HESPER or HESPER Web, report on previously published perceived needs in humanitarian emergencies, and discuss how scientific and humanitarian actors can work together in a partnership in needs assessment in humanitarian settings. Results: In all, eight papers were found in which the HESPER or HESPER Web had been used in conflict- or post-conflict settings or natural disasters. The study samples varied from 85 to 1000 participants (mean 440). The mean number of perceived needs in all studies was 8, varying from 4.25 to 12.18. The top three needs varied in all the studies. A high number of perceived needs was associated with mental health problems. No paper has reported on how the assessment outcomes were shared between the researchers and humanitarian actors. Conclusion: Inventorying the needs from the perspective of the affected population is important to tailor the response to each humanitarian emergency. The HESPER scale and the HESPER Web are multisectoral tools that can be used to take inventory of the perceived needs and indicate the mental health problems that arise in conflict-ridden and natural disaster contexts. It is essential that results from a scientific needs inventory are shared with adequate humanitarian stakeholders to not only facilitate a proper response, but also to foster a closer collaboration between scientists, humanitarians, and the affected population. Doing so would increase the development and use of evidence in practice when providing humanitarian aid. [ABSTRACT FROM AUTHOR]

This document is a summary of a special issue of the journal Brain Sciences titled "Neurological and Psychiatric Disorders in the COVID-19 Era." The issue aims to expand knowledge about the impact of COVID-19 on neurological and psychiatric disorders and how the outbreak has affected their management. The issue includes six original scientific papers. One study found an association between pulmonary embolism in COVID-19 patients and neurological complications such as stroke and seizures. Another study reviewed the possible mechanisms of SARS-CoV-2 damage in the body, including neurological disorders. A systematic review identified risk factors for depressive symptoms during COVID-19-related restrictions. Another study evaluated long-term neuropsychiatric sequelae in COVID-19 survivors and found that a significant portion still experienced symptoms. A review focused on the impact of COVID-19 on neurology training, and the final paper examined emotional distress in COVID-19 patients admitted to a rehabilitation unit. The special issue aims to provide new insights for future research initiatives. [Extracted from the article]

Aims: The current review investigated the psychosocial characteristics of late-onset problem drinkers, an under-researched area of alcohol harm that accounts for one-third of older problem drinkers. Method: Following the PRISMA model, the protocol and search strategy included a scoping search and main search of nine databases. A total of 1,595 papers were identified; after screening, 26 papers were considered eligible and were included in the review. The review used an investigative framework comprising three categories: standardising age of onset; gender differences; and psychosocial and mental health characteristics. The review also investigated how meaning and purpose in life, and treatment have been reported in relation to this cohort. Findings/Conclusions: The combined onset ages of the reviews' 26 papers (mean age = 52.69 years) and the participants' self-reported age at onset (mean age = 56.79 years), suggest that late-onset alcohol use disorder (AUD)/problem drinking is likely to emerge at the age of 55 years and older. Moreover, there is a high prevalence of co-morbid mental health disorders among elderly, late-onset drinkers. Retirement was reported as the most prevalent psychosocial risk factor for late-onset problematic drinking; other late-life events included bereavement, loneliness and social isolation, and boredom. In the context of gender, women are at greater risk of developing late-onset problem drinking than men. Furthermore, late-onset problem drinkers, particularly women, are more treatment compliant than their early-onset counterparts, highlighting the case for bespoke treatments/interventions for late-onset problem drinkers. Finally, the role that meaning and purpose in life plays in late-onset problem drinking has been under-reported and requires further investigation. [ABSTRACT FROM AUTHOR]

As an audio recording of originally textual fanfiction, podfic has an implicitly, technically accessible nature for those with print impairments. In the course of twenty interviews with podfic listeners and creators, this project discovered that the podfic medium does not merely provide technical accessibility, but its supportive fan community creates rich cultural access with affective and participatory aspects. The paper argues that this accessibility can only be understood, valued, and replicated in other contexts by first disrupting calcified boundaries around the concepts of 'disability' and 'access'. This makes room for people with so-called 'invisible' disabilities such as chronic pain, mental illness, and neurodiversity, as well as those with other forms of intersecting marginalisation, such as on the basis of gender, class, and/or race, to understand their access needs within a framework of disability. Within this critical inclusive framework, the overlap between 'access' and 'convenience' in regard to digital media like podfic encourages coalition among variously marginalised and dis/abled fans. Further, podfic community conversations and norms based in strong emotional and creative ties lay the groundwork for long-term disability access support. Thus, podfic as a case study can theoretically and practically inform diverse digital communities' efforts to generate inclusive disability access. [ABSTRACT FROM AUTHOR]

Background and Objectives: The study aims to provide a comprehensive neuropsychological analysis of psychotic spectrum disorders, including schizophrenia, bipolar disorder, and depression. It focuses on the critical aspects of cognitive impairments, diagnostic tools, intervention efficacy, and the roles of genetic and environmental factors in these disorders. The paper emphasizes the diagnostic significance of neuropsychological tests in identifying cognitive deficiencies and their predictive value in the early management of psychosis. Materials and Methods: The study involved a systematic literature review following the PRISMA guidelines. The search was conducted in significant databases like Scopus, PsycINFO, PubMed, and Web of Science using keywords relevant to clinical neuropsychology and psychotic spectrum disorders. The inclusion criteria required articles to be in English, published between 2018 and 2023, and pertinent to clinical neuropsychology's application in these disorders. A total of 153 articles were identified, with 44 ultimately included for detailed analysis based on relevance and publication status after screening. Results: The review highlights several key findings, including the diagnostic and prognostic significance of mismatch negativity, neuroprogressive trajectories, cortical thinning in familial high-risk individuals, and distinct illness trajectories within psychosis subgroups. The studies evaluated underline the role of neuropsychological tests in diagnosing psychiatric disorders and emphasize early detection and the effectiveness of intervention strategies based on cognitive and neurobiological markers. Conclusions: The systematic review underscores the importance of investigating the neuropsychological components of psychotic spectrum disorders. It identifies significant cognitive impairments in attention, memory, and executive function, correlating with structural and functional brain abnormalities. The paper stresses the need for precise diagnoses and personalized treatment modalities, highlighting the complex interplay between genetic, environmental, and psychosocial factors. It calls for a deeper understanding of these neuropsychological processes to enhance diagnostic accuracy and therapeutic outcomes. [ABSTRACT FROM AUTHOR]

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This document is a summary of a special issue of the Journal of Clinical Medicine titled "Spinal Cord Injuries: Advances in Rehabilitation." The special issue focuses on the challenges faced by individuals with spinal cord injuries (SCI) and the need for improved rehabilitation treatments and strategies. It highlights the importance of multidisciplinary collaboration in SCI rehabilitation and presents thirteen high-quality papers covering topics such as innovative rehabilitation approaches, improvements in screening and follow-up strategies, and research into novel treatments. The papers offer exciting advances in SCI rehabilitation and provide preliminary evidence for potential solutions to gaps in understanding and management of SCI. The ultimate goal is to enhance the quality of life for people living with SCI worldwide. [Extracted from the article]