Objective:To investigate the differences in brain age and brain age gap (BAG) between patients with prolonged disorders of consciousness (pDoC) and healthy controls (HC).Methods:A retrospective cross-sectional study was performed; 43 patients with pDoC admitted to Rehabilitation Medicine Center, Zhujiang Hospital, Southern Medical University from January 2020 to October 2022 were enrolled; 26 healthy volunteers recruited at the same time and 187 healthy subjects from the publicly available healthy control dataset Nathan Kline Institute-Rockland Sample (NKI-RS) were chosen as HC group. The clinical and imaging data of these subjects were collected. A brain age estimation model was constructed based on amplitude of low-frequency fluctuation (ALFF) in resting-state functional magnetic resonance imaging (rs-fMRI) for healthy individuals, and the pDoC group was used as the test set. A two-sample t-test was used to compare the brain age and BAG differences between the pDoC group and HC group. Pearson correlation analysis was used to explore the correlation between BAG and coma recovery scale-revised (CRS-R) in the pDoC group. Results:The chronological age and estimated brain age in the HC group were (41.54±9.61) and (42.32±10.65) years, respectively, without significant difference ( t=-0.254, P=0.801). The chronological age and estimated brain age in the pDoC group were (49.91±12.03) and (62.79±15.00) years, respectively, with significant difference ( t=-4.341, P<0.001). The BAG in the HC and pDoC groups were (0.78±4.59) and (12.88±7.17) years, respectively, with significant difference ( t=-7.822, P<0.001). Correlation analysis results showed that in the pDoC patients, no correlation was noted between BAG and CRS-R score on the day of imaging scan or 6 months after the day of imaging scan ( r=0.090, P=0.738; r=0.205, P=0.674); no correlation was noted between BAG and difference in CRS-R score (difference value of CRS-R score 6 months after the day of imaging scan-CRS-R score on the day of imaging scan, r=0.246, P=0.687). Conclusion:Compared with the HC subjects, patients with pDoC exhibit an abnormal increase in brain age, suggesting that pDoC caused by severe brain injury may lead to accelerated brain aging.

Objective To analyze the differences in structural integrity of cerebral white matter fiber bundles in vegetative state(VS)patients with different prognoses,and to construct an early-stage prognostic prediction model for 1-year post-stabilization prognosis.Methods A retrospective analysis was conducted on 52 VS patients admitted to the Department of Rehabilitation Medicine at Zhujiang Hospital of Southern Medical University.Patients were stratified into good prognosis(n=22)and poor prognosis(n=30)at 1-year follow-up based on Coma Recovery Scale-Revised(CRS-R)scores.The fractional anisotropy values of cerebral white matter fiber bundles were derived from diffusion tensor imaging,and for the first time,the scores of the visual subscales of CRS-R were combined with FA values as input features for the prognostic model.To optimize model construction,the least absolute shrinkage and selection operator regression was employed for feature screening,and synthetic minority over-sampling technique for data balancing.The prognostic prediction model was subsequently developed using a support vector machine algorithm and validated via leave-one-out cross-validation.Model performance was evaluated using area under receiver operating characteristic curve,along with accuracy,sensitivity,specificity,and F1 score metrics.Results Following LASSO regression feature screening,the pontine crossing tract,medial lemniscus,tapetum,splenium of corpus callosum,and visual subscale scores were identified as key predictors.A multimodal SVM-based prediction model constructed with the above features could effectively predict the 1-year prognosis of VS patients,achieving a high predictive performance(AUC=0.894).Conclusion The SVM-based model integrating FA values of specific white matter fiber bundles and visual subscale scores demonstrates excellent predictive performance in predicting the 1-year prognosis of VS patients.

Objective To analyze the differences in structural integrity of cerebral white matter fiber bundles in vegetative state(VS)patients with different prognoses,and to construct an early-stage prognostic prediction model for 1-year post-stabilization prognosis.Methods A retrospective analysis was conducted on 52 VS patients admitted to the Department of Rehabilitation Medicine at Zhujiang Hospital of Southern Medical University.Patients were stratified into good prognosis(n=22)and poor prognosis(n=30)at 1-year follow-up based on Coma Recovery Scale-Revised(CRS-R)scores.The fractional anisotropy values of cerebral white matter fiber bundles were derived from diffusion tensor imaging,and for the first time,the scores of the visual subscales of CRS-R were combined with FA values as input features for the prognostic model.To optimize model construction,the least absolute shrinkage and selection operator regression was employed for feature screening,and synthetic minority over-sampling technique for data balancing.The prognostic prediction model was subsequently developed using a support vector machine algorithm and validated via leave-one-out cross-validation.Model performance was evaluated using area under receiver operating characteristic curve,along with accuracy,sensitivity,specificity,and F1 score metrics.Results Following LASSO regression feature screening,the pontine crossing tract,medial lemniscus,tapetum,splenium of corpus callosum,and visual subscale scores were identified as key predictors.A multimodal SVM-based prediction model constructed with the above features could effectively predict the 1-year prognosis of VS patients,achieving a high predictive performance(AUC=0.894).Conclusion The SVM-based model integrating FA values of specific white matter fiber bundles and visual subscale scores demonstrates excellent predictive performance in predicting the 1-year prognosis of VS patients.

Objective:To investigate the differences in brain age and brain age gap (BAG) between patients with prolonged disorders of consciousness (pDoC) and healthy controls (HC).Methods:A retrospective cross-sectional study was performed; 43 patients with pDoC admitted to Rehabilitation Medicine Center, Zhujiang Hospital, Southern Medical University from January 2020 to October 2022 were enrolled; 26 healthy volunteers recruited at the same time and 187 healthy subjects from the publicly available healthy control dataset Nathan Kline Institute-Rockland Sample (NKI-RS) were chosen as HC group. The clinical and imaging data of these subjects were collected. A brain age estimation model was constructed based on amplitude of low-frequency fluctuation (ALFF) in resting-state functional magnetic resonance imaging (rs-fMRI) for healthy individuals, and the pDoC group was used as the test set. A two-sample t-test was used to compare the brain age and BAG differences between the pDoC group and HC group. Pearson correlation analysis was used to explore the correlation between BAG and coma recovery scale-revised (CRS-R) in the pDoC group. Results:The chronological age and estimated brain age in the HC group were (41.54±9.61) and (42.32±10.65) years, respectively, without significant difference ( t=-0.254, P=0.801). The chronological age and estimated brain age in the pDoC group were (49.91±12.03) and (62.79±15.00) years, respectively, with significant difference ( t=-4.341, P<0.001). The BAG in the HC and pDoC groups were (0.78±4.59) and (12.88±7.17) years, respectively, with significant difference ( t=-7.822, P<0.001). Correlation analysis results showed that in the pDoC patients, no correlation was noted between BAG and CRS-R score on the day of imaging scan or 6 months after the day of imaging scan ( r=0.090, P=0.738; r=0.205, P=0.674); no correlation was noted between BAG and difference in CRS-R score (difference value of CRS-R score 6 months after the day of imaging scan-CRS-R score on the day of imaging scan, r=0.246, P=0.687). Conclusion:Compared with the HC subjects, patients with pDoC exhibit an abnormal increase in brain age, suggesting that pDoC caused by severe brain injury may lead to accelerated brain aging.

Objective:To assess the efficacy of parent training (PT) on attention deficit hyperactivity disorder (ADHD) symptoms, behavioral problems, and parenting stress in child with ADHD or ADHD symptoms.Methods:Randomized controlled trials of the effect of PT on ADHD symptoms in Chinese children with ADHD or ADHD symptoms were collected by PsychINFO, PubMed, EMBASE, Web of science, Scopus, China National Knowledge database, WanFang database, the China Science and Technology Journal Database and the China Biology Medicine disc. The quality of the included studies was evaluated by version 2 of the Cochrane tool for assessing risk of bias in randomized trial. Forest plots were drawn using Review Manager 5.4.1, sensitivity analyses of results were performed using Stata 18.0 to assess the stability of the results, and publication bias was assessed using funnel plots and Egger's test.Results:A total of 10 studies containing 571 subjects in the experimental group and 562 subjects in the control group met the inclusion exclusion criteria. Significant differences were observed in various measures, including overall ADHD symptoms (MD=-2.43, 95% CI: -3.95--0.91), inattention (MD=-1.10, 95% CI: -1.94--0.26), hyperactivity/impulsivity (SMD=-0.58, 95% CI: -0.87--0.28), overall conduct problems (SMD=-0.80, 95% CI: -1.05--0.55), conduct problem (SMD=-1.34, 95% CI: -2.31--0.37), learning problem (SMD=-0.81, 95% CI: -1.40--0.23), impulsivity/hyperactivity (SMD=-0.53, 95% CI: -0.78--0.29), hyperactivity index (SMD=-1.27, 95% CI: -1.99--0.55), parenting stress index (SMD=-0.69, 95% CI: -1.12--0.26), difficult child (MD=-1.96, 95% CI: -3.44--0.48), dysfunctional interaction (MD=-3.10, 95% CI: -4.43--1.78), and parenting distress (MD=-3.35, 95% CI: -4.59--2.12)(all P<0.05). However, no significant differences were observed in oppositional-defiant disorder, anxiety, or somatic problem. Conclusions:The initial findings suggested that PT was effective for Chinese children with ADHD or ADHD symptoms.The addition of PT appeared to improve core symptoms of ADHD (inattention and hyperactivity/impulsivity), conduct problems, and parental stress more effectively than routine care alone.

Background Comorbid attention-deficit/hyperactivity disorder(ADHD)and emotional dysregulation may represent a distinct subtype of ADHD,which is characterized by an increased risk of anxiety or depressive disorder and a poor clinical prognosis,so research is urgently required to explore its unique executive functioning profile and clinical characteristics.However,there is limited research comparing the clinical symptoms and executive function in children with ADHD in terms of the presence or absence of emotional dysregulation.Objective To explore the executive function and clinical characteristics of ADHD children with emotional dysregulation.Methods From June 2020 to December 2023,118 children aged 7 to 12 with ADHD attending the Mental Health Center of West China Hospital,Sichuan University and fulfilling the Diagnostic and Statistical Manual of Mental Disorders,fifth edition(DSM-5)diagnostic criteria were enrolled.Children were classified into emotional dysregulation group(n=68)and non-emotional dysregulation group(n=50)based on the standard T-scores of Achenbach's Child Behavior Checklist(CBCL)-anxious/depressed,aggressive behavior and attention problems subscales.All children were then subjected to complete the Chinese version of Swanson Nolan and Pelham,Version IV Scale-parent form(SNAP-IV),Chinese Wechsler Intelligence Scale for Children(C-WISC),Weiss Functional Impairment Scale-Parent form(WFIRS-P)and 4 tests of the Cambridge Neuropsychological Test Automated Battery(CANTAB):①Stockings of Cambridge(SOC)testing spatial planning.②Intradimensional-extradimensional Set Shifting(IED)testing cognitive/attentional flexibility,adjusting the total errors across the task.③Spatial Working Memory(SWM)testing spatial working memory.④Rapid Visual Information Processing(RVP)testing sustained attention.Results The SNAP-IV Inattention,Hyperactivity/Impulsivity and Oppositional Defiant Disorder domain scores and total score were all higher in emotional dysregulation group compared with non-emotional dysregulation group(t=3.206,5.088,6.316,6.553,P<0.01).The WFIRS-P family,school learning,life skills,self-concept,social activities and risky activities domain scores and total score were all higher in emotional dysregulation group compared with non-emotional dysregulation group(t=6.074,4.406,4.143,3.984,6.575,6.662,8.254,P<0.01).In CANTAB,emotional dysregulation group made more total adjusted errors across the IED task compared with non-emotional dysregulation group(t=2.168,P<0.05).Conclusion Children with ADHD who exhibit emotional dysregulation have been observed to experience more severe core symptoms,impaired social functioning and poorer performance on tests assessing executive function,particularly in the area of cognitive flexibility.

Objective To investigate the mediating effect of social problems in the effect pathway of emotional dysregulation influencing anxiety/depression emotions in children with attention-deficit/hyperactivity disorder(ADHD)and to explore the potential moderating effect of family functionality.Methods A total of 235 children diagnosed with ADHD were enrolled in the study.The paticipants'age ranged from 6 to 12.Emotion Regulation Checklist,Achenbach's Child Behavior Checklist(CBCL)Social Problems Subscale,CBCL Anxious/Depressed Subscale,and Family Assessment Device were used to evaluate the emotional regulation,social problems,anxiety/depression emotions,and family functionality of the participants.A moderated mediation model was employed to analyze whether social problems and family functionality mediate and moderate the relationship between emotional regulation and anxiety/depression emotions.Results Social problems partially mediated the impact of emotional dysregulation on anxiety/depression emotions in ADHD children,with the direct effect being 0.26(95%confidence interval[CI]:[0.17,0.36],P＜0.001),the indirect effect being 0.13(95%CI:[0.07,0.19],P＜0.001),and the mediating effect accounting for 33%of the total effect.Family functionality exhibited a positive moderating effect on the relationship between social problems and anxiety/depression emotions.Conclusion This study contributes to the understanding of complex factors influencing anxiety/depression in children with ADHD,providing reference for the further development of targeted interventions for children with ADHD and the improvement of prognosis.

Hevin is one of the extracellular matrix proteins secreted by astrocytes. Under physiological conditions, Hevin plays an important role in synaptogenesis in the central nervous system (CNS); secreted protein, acidic and rich in cysteine (SPARC) is its homologue and antagonizes the synaptogenic effects of Hevin. In pathological conditions, the expressions of Hevin and SPARC are altered, suggesting their possible roles at synaptic reorganization in various disease process, such as brain injury, Alzheimer's disease, epilepsy and brain tumors; however, the specific mechanism is not totally understood yet. So this paper reviews the mechanism of Hevin/SPARC in CNS synaptogenesis, reorganization and diseases to provide ideas for further research.

OBJECTIVE: To carry out genetic testing for a patient with 45,X/46,XY mosaicism and autism spectrum disorder (ASD). METHODS: Peripheral blood samples of the patient and his parents were collected for the extraction of genomic DNA. Trio-based whole exome sequencing and Sanger sequencing were carried out thereafter. RESULTS: The proband and his father were found to harbor a heterozygous c.4781G>A (p.Arg1594Gln) variant of the CACNA1I gene. In addition, the proband was also found to harbor a de novo c.268C>T (p.Arg90Trp) missense variant of the MTRR gene. Based on guidelines of the American College of Medical Genetics and Genomics (ACMG), the c.4781G>A (p.Arg1594Gln) variant of the CACNA1I gene was predicted to be pathogenic (PVS1, PM1, PM2, PP3), while the c.268C>T (p.Arg90Trp) variant of the MTRR gene was predicted to be of uncertain significance. CONCLUSION Variants of the CACNA1I and MTRR genes, together with the chromosomal mosaicism, may have predisposed to the susceptibility to the ASD in this patient.
Autism Spectrum Disorder/genetics* ; Genomics ; Heterozygote ; Humans ; Mosaicism ; Whole Exome Sequencing

Objective:To investigate the characteristics and change trends of electroencephalogram (EEG) in patients with drug resistant epilepsy (DRE) after vagus nerve stimulation (VNS).Methods:Twenty-five patients with DRE, admitted to our hospital from July 2016 to May 2019, were chosen; all patients accepted VNS and followed up for 12 months. Long range video EEG (VEEG) monitoring was performed before VNS, and 3, 6 and 12 months after VNS, and the tracing time of each monitoring was longer than 12 h. The EEG characteristics of these patients before and different times after VNS were analyzed.Results:In the VEEG monitoring before VNS, 25 patients showed sharp wave, spike wave, sharp slow wave, and compound spike slow wave in the interictal period; 3 patients (12%) could locate the brain region. The interictal EEG of 11 patients 3 months after VNS showed different degrees of improvement as compared with the preoperative one, which manifested as mixed rhythms: mono-spiking as sharp wave, sharp slow wave or spike wave; 8 patients had McHugh grading I-II. The interictal EEG of 18 patients 6 months after VNS showed different degrees of improvement as compared with the preoperative one; 11 patients had McHugh grading I-II. The interictal EEG of 21 patients 12 months after VNS showed different degrees of improvement as compared with the preoperative one; 15 patients had McHugh grading I-II.Conclusion:The EEG improvement effect of DRE patients after VNS is gradually improved with time; in some patients, the EEG improvement is earlier than improvement of clinical symptoms.