Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans ; Electrocardiography/methods* ; Mental Health ; Algorithms ; Signal Processing, Computer-Assisted ; Machine Learning ; Arrhythmias, Cardiac/diagnosis* ; Cardiovascular Diseases ; Neural Networks, Computer ; Mental Disorders

Dysfunction of the interoceptive system is recognized as an important component of clinical symptoms, including anxiety, depression, psychosis, and other mental disorders. Non-invasive neuromodulation is an emerging clinical intervention approach, and over the past decade, research on non-invasive neuromodulation aimed at regulating interoception has rapidly developed. This review first outlines the pathways of interoceptive signals and assessment methods, then summarizes the interoceptive abnormalities in psychiatric disorders and current studies for non-invasive neuromodulation targeting interoception, including intervention modes, target sites, interoceptive measures, and potential neurobiological mechanisms. Finally, we discuss significant research challenges and future directions.
Humans ; Interoception/physiology* ; Mental Disorders/therapy*

A growing interest in the comprehensive pathogenic mechanisms of psychiatric disorders from the perspective of the microbiome has been witnessed in recent decades; the intrinsic link between microbiota and brain function through the microbiota-gut-brain axis or other pathways has gradually been realized. However, little research has focused on viruses-entities characterized by smaller dimensions, simpler structures, greater diversity, and more intricate interactions with their surrounding milieu compared to bacteria. To date, alterations in several populations of bacteriophages and viruses have been documented in both mouse models and patients with psychiatric disorders, including schizophrenia, major depressive disorder, autism spectrum disorder, and Alzheimer's disease, accompanied by metabolic disruptions that may directly or indirectly impact brain function. In addition, eukaryotic virus infection-mediated brain dysfunction provides insights into the psychiatric pathology involving viruses. Efforts towards virus-based diagnostic and therapeutic approaches have primarily been documented. However, limitations due to the lack of large-scale cohort studies, reliability, clinical applicability, and the unclear role of viruses in microbiota interactions pose a challenge for future studies. Nevertheless, it is conceivable that investigations into viruses herald a new era in the field of precise psychiatry.
Humans ; Mental Disorders/virology* ; Animals ; Brain/virology* ; Gastrointestinal Microbiome/physiology* ; Viruses ; Virus Diseases/complications*

OBJECTIVES: This study aims to explore the current status and risk factors of oral health-related quality of life OHRQoL in patients with mental disorders and provide evidence for effective intervention measures. METHODS: A total of 397 patients diagnosed with mental illness were selected by convenience sampling, and investigation was carried out using general data questionnaire, health literacy in dentistry-14 (HeLD-14), oral health impact profile-14 (OHIP-14), and oral health status checklist. RESULTS: The total score of OHIP-14 in patients with mental disorders was 8(2, 14). The score of HeLD-14 was negatively correlated with the score of OHIP-14 (r=-0.142, P<0.01). The results of multiple linear regression showed that six variables including annual family income, schizophrenia, sweets, frequency of visits to the dentist, dental caries, and missing teeth affected OHRQoL of patients with mental disorders (P<0.05). CONCLUSIONS The poor OHRQoL of psychiatric patients is associated with many factors. Medical personnel should pay attention to their oral health problems and develop targeted oral care programs throughout the course of disease to improve oral health and related quality of life of patients.
Humans ; Quality of Life ; Oral Health ; Mental Disorders ; Risk Factors ; Surveys and Questionnaires ; Male ; Female ; Dental Caries ; Adult ; Middle Aged ; Schizophrenia

Psychogenic non-epileptic seizures are accompanied by motor,behavioral,sensory,and/or cognitive changes,with the clinical manifestations similar to epileptic seizures.This disease is easy to be misdiagnosed and neglected in clinical work.At present,most intervention measures still depend on the experience of clinicians.This article reviews the comorbidities of psychogenic non-epileptic seizures,including mental and cognitive disorders,somatic syndrome,sleep disorders,and epilepsy.This review aims to strengthen the precision of clinical treatment and management of patients with psychogenic non-epileptic seizures and provide more efficient individualized diagnosis and treatment programs for patients.
Humans ; Seizures/diagnosis* ; Comorbidity ; Epilepsy ; Sleep Wake Disorders ; Mental Disorders ; Psychophysiologic Disorders ; Cognition Disorders

Objective To gain insights into the care service preferences and willingness of patients with severe mental disorders in Beijing,analyze the main factors affecting their participation in care services,and provide data support and decision-making reference for the optimal design of care services for patients with severe mental disorders and the improvement of relevant policies.Methods In July 2022,a questionnaire survey was conducted for a part of Beijing community patients with severe mental disorders selected by multi-stage stratified sampling,including the basic personal information and the preferences of discrete choice experiment.A mixed Logit model was used to perform regression analysis on the care service preferences,and the trade off between general and monetary attributes was quantified by willingness to pay(WTP).Results A total of 242 questionnaires were distributed,and 181 valid questionnaires were collected,with a response rate of 74.79%.The regression coefficients for the four attributes-service type,service content,service frequency,and service cost-all showed statistical significance(all P<0.05).Patients' most preferred attribute level was a service frequency covering about 90% of the time per month/year( β=1.059),while the least preferred was full-time residential care( β=-1.025).Increasing the service frequency from 30% to 90% corresponded to a WTP of 492.5 yuan,while changing the service type from home-based care to full-time residential care resulted in a WTP of -476.6 yuan.Moreover,there were differences in care service preferences and WTP among patient groups with different characteristics(all P<0.05).Conclusions Service type,service content,service frequency,and service cost all significantly affect the care service preferences of patients with severe mental disorders.There is heterogeneity in care service preferences among patient groups with different characteristics.
Humans ; Mental Disorders/therapy* ; Patient Preference ; Beijing ; Surveys and Questionnaires ; Male ; Female ; Choice Behavior ; Adult ; Middle Aged

Aims or objective: To determine the prevalence of neurodevelopmental disorder (NDD) comorbidities and their association with the clinical profile of children with focal epilepsy treated at the Philippine Children’s Medical Center from 2023 to 2024.

Materials and Method: This cross-sectional analytical study was conducted from June 10, 2023 to June 1, 2024 at the Philippine Children's Medical Center. Detailed information was obtained for each case according to protocol. A complete history was taken from the accompanying caretakers. Children aged 0 to 7 years and 11 months, recently diagnosed with focal epilepsy, were evaluated using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5-TR) criteria. The level of early child development was determined based on the total Battelle Developmental Inventory-2 developmental quotient score.

Results: The study examined 246 children with focal epilepsy. Significant findings included those children with NDD had a higher median age (4.67 years) compared to those without NDD (3.37 years) (p < .001). A higher proportion of non-NDD children were under one year old. Children without NDD had mothers with higher educational attainment (p = .015) and came from families with higher incomes (p = .003). Neonatal complications such as hypoxic-ischemic encephalopathy (HIE) and sepsis were more common in children with NDD (p = .005 and p = .006). Phenobarbital use was more frequent in children with NDD (p = .001), who also had more abnormal EEG and neuroimaging findings (p < .001). Neurodevelopmental evaluations were conducted later for children with NDD (p < .001). A significant number (75.20%) of children exhibited neurodevelopmental problems, with global developmental delay being most prevalent. Crude analysis showed associations between age, number of antiseizure medications, and delays in evaluation with increased odds of NDD.

Conclusion: The study offers insights into children with focal epilepsy at a tertiary hospital in the Philippines, emphasizing the impact of low socioeconomic status, age, birth complications and multiple anti-seizure medications. These findings are vital for clinicians to modify care plans through a multidisciplinary approach to enhance outcomes and improve quality of life in this high-risk population.

Human ; Male ; Female ; Infant Newborn: First 28 Days After Birth ; Infant: 1-23 Months ; Child Preschool: 2-5 Yrs Old ; Child: 6-12 Yrs Old ; Neurodevelopmental Disorders ; Sepsis ; Hypoxia-ischemia, Brain ; Epilepsies, Partial ; Educational Status ; Diagnostic And Statistical Manual Of Mental Disorders ; Child Development

OBJECTIVES: To investigate the relationship between the polygenic risks for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder (ADHD). METHODS: Using a cross-sectional design, 285 children with ADHD and 107 healthy controls were assessed using the Child Behavior Checklist, the Behavior Rating Inventory of Executive Function for parents, the Wechsler Intelligence Scale for Children, Fourth Edition, and the Cambridge Neuropsychological Test Automated Battery. Blood samples were collected for genetic data. Polygenic risk scores (PRSs) for various psychiatric disorders were calculated using the PRSice-2 software. RESULTS: Compared with the healthy controls, the children with ADHD displayed significantly higher PRSs for ADHD, major depressive disorder, anxiety disorder, and obsessive-compulsive disorder (P<0.05). In terms of daily-life executive function, ADHD-related PRS was significantly correlated with the working memory factor; panic disorder-related PRS was significantly correlated with the initiation factor; bipolar disorder-related PRS was significantly correlated with the shift factor; schizophrenia-related PRS was significantly correlated with the inhibition, emotional control, initiation, working memory, planning, organization, and monitoring factors (P<0.05). The PRS related to anxiety disorders was negatively correlated with total IQ and processing speed index (P<0.05). The PRS related to obsessive-compulsive disorder was negatively correlated with the processing speed index and positively correlated with the stop-signal reaction time index of the stop-signal task (P<0.05). CONCLUSIONS PRSs for various psychiatric disorders are closely correlated with the behavioral and cognitive characteristics in children with ADHD, which provides more insights into the heterogeneity of ADHD.
Humans ; Attention Deficit Disorder with Hyperactivity/genetics* ; Child ; Male ; Female ; Cross-Sectional Studies ; Neuropsychological Tests ; Multifactorial Inheritance ; Adolescent ; Mental Disorders/etiology* ; Executive Function ; Genetic Risk Score

BACKGROUND: Exposure to environmental noise may have a negative impact on a population's mental health. We estimated the prevalence of exposure perception to high environmental noise in the Valencian Community, a region on the Mediterranean coast of Spain, and analysed its association with poor mental health risk, adjusting for demographic, socioeconomic and health status variables. METHODS: Cross-sectional study based on a sample of 5.485 subjects, aged 15 or above, of the 2016 Valencian Community Health Survey. The risk of poor mental health was assessed via Goldberg's questionnaire, a highly standardized self-reported questionnaire designed to screen for general psychological distress in the general population. Noise perception were determined in the home environment based on individuals' responses to the Valencian Survey question about external noise problems. Sociodemographic variables, such as sex, age, level of education, or country of birth, and health variables, such as self-perceived health, or chronic diseases, were also considered. Logistic regression was used to estimate the Odds Ratios and confidence intervals of association between variables according to sex. RESULTS: The prevalence of poor mental health was 26.2% [n = 2665; 95% CI: 24.5-27.9] in men and 33.6% [n = 2820; 95% CI: 31.9-35.3] in women. A total of 7.8% [n = 5485; 95% CI: 6.8-8.8] presented exposure to high noise perception, with no differences according to sex. Being at risk of poor mental health was significantly associated (p < 0.05) with high noise perception after adjusting for the rest of the variables (OR: 2.16 [95% CI: 1.46-3.19] in men; 2.46 [95% CI: 1.72-3.50] in women). CONCLUSIONS Although the prevalence of exposure perception to high noise was not very high, population subgroups presenting high values were detected. High noise perception was related to the risk of poor mental health, regardless of other variables. Poor mental health risk was associated with exposure perception to high noise, other socioeconomic determinants, and health status. Improving noise exposure conditions could reduce the risk of poor mental health.
Humans ; Spain/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Noise/adverse effects* ; Cross-Sectional Studies ; Young Adult ; Adolescent ; Environmental Exposure/adverse effects* ; Aged ; Mental Health/statistics & numerical data* ; Prevalence ; Mental Disorders/epidemiology* ; Risk Factors

Neuropsychiatric disorders arise from complex interactions between genetic and environmental factors. DNA methylation, a reversible and environmentally responsive epigenetic regulatory mechanism, serves as a crucial bridge linking environmental exposure, gene expression regulation, and neurobehavioral outcomes. During long-duration deep-space missions, astronauts face multiple stressors-including microgravity, cosmic radiation, circadian rhythm disruption, and social isolation, which can induce alterations in DNA methylation and increase the risk of neuropsychiatric disorders. Genome-wide DNA methylation research can be divided into 3 major methodological stages: Study design, sample preparation and detection, and data analysis, each of which can be applied to astronaut neuropsychiatric health monitoring. Systematic comparison of the Illumina MethylationEPIC array and whole-genome bisulfite sequencing reveals their complementary strengths in terms of genomic coverage, resolution, cost, and application scenarios: the array method is cost-effective and suitable for large-scale population studies and longitudinal monitoring, whereas sequencing provides higher resolution and coverage and is more suitable for constructing detailed methylation maps and characterizing individual variation. Furthermore, emerging technologies such as single-cell methylation sequencing, nanopore long-read sequencing, and machine-learning-based multi-omics integration are expected to greatly enhance the precision and interpretability of epigenetic studies. These methodological advances provide key support for establishing DNA-methylation-based monitoring systems for neuropsychiatric risk in astronauts and lay an epigenetic foundation for safeguarding neuropsychiatric health during future long-term deep-space missions.
DNA Methylation ; Humans ; Space Flight ; Mental Disorders/genetics* ; Epigenesis, Genetic ; Astronauts/psychology* ; Weightlessness/adverse effects* ; Epigenomics