Psychopathology of cognitive disengagement syndrome (CDS): a network analysis based on CBCL scales in 72,106 Chinese school students.

Cognitive Disengagement Syndrome (CDS) is a cluster of behavioral problems that severely affect an individual's functioning. Currently, there is no consensus on the main clinical features of CDS, and further exploration in large samples is needed. Using a cluster-stratified random sampling method, 72,106 children and adolescents were recruited from five provinces in mainland China for this study. Using both the traditional two-factor scoring method and the CBCL DSM-oriented scales, we assessed individual behavioral problems from psychopathological and DSM-oriented perspectives. Network analysis was employed to explore the relationship between CDS and behavioral problems. The various networks were compared by gender and age subgroups. Among 72,106 participants (mean age, 11.49 years; minimum age, 5 years; maximum age, 16 years), there were 36,449 males (50.5%) and 35,657 females (49.5%). From a psychopathological perspective, the motor symptoms node was associated with the sad node and the withdrawn node, while the cognitive symptoms node was linked to the nervous node and the self-conscious node. In terms of gender, males had stronger associations of the motor symptoms node with the sad node and the withdrawn node than females (P = 0.043), and weaker associations of the cognitive symptoms node with the nervous node than females (P = 0.027). In terms of growth stage, the adolescent group had stronger associations of the cognitive symptoms node with the nervous node and the self-conscious node than the child group (P = 0.016, 0.001). From DSM perspective, motor symptoms node were associated with sad node, and cognitive symptoms node were related to can't concentrate node, nervous node, and worthless node. With increasing age, there was an upward trend in the strength of the cognitive and motor symptoms node. CDS is closely linked to psychological and behavioral issues, especially internalizing problems, with differences observed by gender and growth stage. The connection between CDS and the affective, anxiety, and ADH symptoms is particularly pronounced.

Neural network aided extended Kalman filtering for inverse imaging of cardiac transmembrane potential.

Objective.The aim of this study is to address the limitations in reconstructing the electrical activity of the heart from the body surface electrocardiogram, which is an ill-posed inverse problem. Current methods often assume values commonly used in the literature in the absence ofa prioriknowledge, leading to errors in the model. Furthermore, most methods ignore the dynamic activation process inherent in cardiomyocytes during the cardiac cycle.Approach.To overcome these limitations, we propose an extended Kalman filter (EKF)-based neural network approach to dynamically reconstruct cardiac transmembrane potential (TMP). Specifically, a recurrent neural network is used to establish the state estimation equation of the EKF, while a convolutional neural network is used as the measurement equation. The Jacobi matrix of the network undergoes a correction feedback process to obtain the Kalman gain.Main results.After repeated iterations, the final estimated state vector, i.e. the reconstructed image of the TMP, is obtained. The results from both the final simulation and real experiments demonstrate the robustness and accurate quantification of the model.Significance.This study presents a new approach to cardiac TMP reconstruction that offers higher accuracy and robustness compared to traditional methods. The use of neural networks and EKFs allows dynamic modelling that takes into account the activation processes inherent in cardiomyocytes and does not requirea prioriknowledge of inputs such as forward transition matrices.

Diagnostic efficiency and psychometric properties of CBCL DSM-oriented scales in a large sample of Chinese school-attending students aged 5-16.

BACKGROUND: Children and adolescents are vulnerable to various psychiatric disorders during the critical phase of individual development. In China, the child behavior checklist (CBCL) is a widely employed psychometric questionnaire for assessing children and adolescents. However, further validation of the psychometric properties and diagnostic effectiveness of the CBCL DSM-oriented scales is necessary. These scales were developed based on DSM diagnosis and require evaluation using a substantial sample of Chinese individuals. METHODS: This study involved the analysis of a substantial dataset consisting of 72,109 samples collected from five provinces in China. Data was gathered using the CBCL (Parent Rating Scale), and rigorous assessments of reliability and validity were conducted. The mini-international neuropsychiatric interview for children and adolescents (MINI-KID) and the diagnostic and statistical manual of mental disorders-IV (DSM-IV) interview were employed to diagnose the participants. To ensure the accuracy of the diagnoses, receiver operating characteristic curve (ROC curves) were utilized, and the Youden Index was calculated to determine the appropriate diagnostic cut-off point for each specific target diagnosis. RESULTS: The study included a total sample of 72,109 cases, out of which 19,782 cases underwent MINI-KID assessment and structured or semi-structured interviews based on DSM-IV to clarify the diagnosis. Reliability and validity analyses showed that the reliability of the subscales and total scales was good, except for Anxiety Problems. The Cronbach's alpha for the CBCL DSM-oriented scales was 0.92. In addition, the validity of all scales was good (CFI = 0.80). For the sample with a clear diagnosis, all five subscales of the CBCL DSM-oriented scales showed fair diagnostic efficiency for the target diagnosis. Among them, the area under curves (AUC) of Mood disorder, Anxiety, Attention deficit and hyperactivity disorder (ADHD), Oppositional defiant disorder (ODD) and Conduct disorder (CD) are 0.80, 0.74, 0.75, 0.74, 0.74. Among the three sample groups, the highest diagnostic efficiency was found in Affective Problems to Mania. The diagnostic cut-off point for each subscale on target diagnoses was clearly defined. CONCLUSION: Overall, the reliability, validity and diagnostic efficiency of CBCL DSM-oriented scales in Chinese children and adolescents were within acceptable limits. In addition, we used ROC curves and cut-off points to predict the cut-off values of common child and adolescent psychiatric disorders mentioned in the CBCL DSM-oriented scales. This provides an important reference for the clinical application of the CBCL DSM-oriented scales in Chinese samples.