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- 저자 : Yasong Li (검색결과 4 건)
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Developing the Symptoms and Functional Impairment Rating Scale: A Multi-Dimensional ADHD Scale
Yasong Du,Mengyao Li,Wenqing Jiang,Yan Li,David. R. Coghill 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.1
ObjectiveaaThis research developed a practical, multi-dimensional attention deficit hyperactivity disorder (ADHD) rating scale (i.e., the Symptoms and Functional Impairment Rating Scale, SFIRS) for Chinese children, aged 6–12 years, with ADHD. MethodsaaThe structural validity, criterion validity, internal consistency, and test-retest reliability of the scale were evaluated. Item screening was conducted with 412 ADHD patients and 322 developmentally typical controls. ResultsaaThe scale includes 44 items, divided among Hyperactivity-Impulsivity, Self-Control, Inattention, Self-Management, Academic Performance, and Social Interaction. The six-factor model showed good data fit, with each factor significantly correlated with its corresponding criterion (r=0.690–0.841). The Cronbach’s α of the full scale was 0.976. Total score test-retest reliability was r=0.816 (p<0.01). ConclusionaaThe SFIRS thus demonstrated good reliability and validity and may be used to assess ADHD among children aged 6–12 years in China.
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Non-magnetic compliant finger sensor for continuous fine motor movement detection
Anterpal Sandhu,Yasong Li,Nicholas Peatfield,Xin Yi Yong,Ryan D’Arcy,Carlo Menon,Teresa P. L. Cheung 대한의용생체공학회 2017 Biomedical Engineering Letters (BMEL) Vol.7 No.3
A non-magnetic MEG compatible device hasbeen developed that provides continuous force and velocityinformation. Combined with MEG, this device may findutility in characterizing brain regions associated with forceand velocity relative to individual digits or movementpattern. 15 healthy right-handed participants were givenvisual cues to perform random finger movements on theprototype finger sensor for 21 s and then rest for 21 s (7times). Respective finger flexion data were obtained, during151-channel MEG brain scanning, by feeding the signalfrom finger sensor into four input Analog to Digital Converter(ADC) channels in the MEG hardware. The sourceactivity was reconstructed in beta band using a LinearlyConstrained Minimum Variance (LCMV) beamformer inthe beta band. The ADC channels were used as regressorsfor a continuous time General Linear Model (GLM) and aRegion of Interest (ROI) was identified to examine activity. MEG analysis showed bilateral activation in the primarymotor cortex region. Because individual digits could beisolated in the ADC data, somatotopy of the fingers wereobserved consistent with the homunculus except pinkyfinger. The total span was calculated to be 5.5662 mm. Thestudy confirms that the finger sensor is magneticallycompatible with MEG measurements and may potentiallyprovide a means to study complex sensorimotor functions. Improved isolation of individual digit information alongwith the use of machine learning algorithms can helpretrieve more accurate results.
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Wenqing Jiang,Yan Li,Yasong Du,Juan Fan 대한신경정신의학회 2016 PSYCHIATRY INVESTIGATION Vol.13 No.3
ObjectiveaaThis study aims to explore the feature of emotional regulation and executive functions in oppositional defiant disorder (ODD) children. MethodsaaThe emotional regulation and executive functions of adolescents with ODD, as well as the relationship between the two factors were analyzed using tools including Adolescent Daily Emotional Regulation Questionnaire (ADERQ), Wisconsin Card Sorting Test (WCST) and Cambridge Neuropsychological Test Automated Battery (CANTAB), in comparison with attention deficit hyperactivity disorder (ADHD) children without behavioral problem and healthy children; the ADERQ assessed emotional regulation ability and others were used to assess executive function. ResultsaaCompared to normal children, the ODD group displayed significant differences in the scores of cognitive reappraisal, rumination, expressive suppression, and revealing of negative emotions, as well as in the score of cognitive reappraisal of positive emotions. WCST perseverative errors were well correlated with rumination of negative emotions (r=0.47). Logistic regression revealed that the minimum number of moves in the Stocking of Cambridge (SOC) test (one test in CANTAB) and negative emotion revealing, were strongly associated with ODD diagnosis. ConclusionaaChildren with ODD showed emotion dysregulation, with negative emotion dysregulation as the main feature. Emotion dysregulation and the lack of ability to plan lead to executive function deficits. The executive function deficits may guide us to understand the deep mechanism under ODD.
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Genetically predicted physical activity is associated with lower serum urate concentrations
Guan Ying,Wei Jiahe,Meng Lifeng,Li Yasong,Wang Tianle,Chen Dingwan,Qian Qilin 한국유전학회 2022 Genes & Genomics Vol.44 No.7
Background: Physical activity (PA) is considered to play an important role in the reduced gout risk. However, the epidemiology results are inconsistent and causality remains unclear. Objective: To investigate the causal relationship of PA with serum urate concentrations and gout risk by a bidirectional Mendelian randomization (MR) approach. Method: Two genome-wide association studies (GWASs) from UK Biobank were used to identify instrumental variables for self-reported moderate-to-vigorous PA (including 377,234 European individuals), accelerometer-measured 'average acceleration' PA (including 91,084 European individuals) and accelerometer-measured overall PA (including 91,105 European individuals). The summary data for serum urate (including 110,347 European individuals) and gout (including 2,115 cases and 67,259 controls) were derived from GWAS of Global Urate Genetics Consortium. Moreover, reverse direction Mendelian randomization study was conducted. The inverse-variance weighted, weighted median, Mendelian randomization Egger regression, simple mode and weighted mode and Mendelian Randomization Pleiotropy RESidual Sum and Outlier were methods we performed. Result: Genetic predisposition to accelerometer-measured 'average acceleration' PA [beta = -0.038; 95% confidence interval (CI) = -0.060,-0.015; P = 0.001] and accelerometer-measured overall PA (beta = -0.339; 95% CI = -0.522,-0.156; P = 2.8E-4) were significantly associated with decreased serum urate concentrations. Besides, there was no evidence supporting the causal association between PA and gout risk. In the reverse direction analysis, genetic predisposition to both urate and gout were not associated with PA being investigated. Conclusions: In MR study, we found that PA may reduce serum urate concentrations but not the risk of gout. Moreover, serum urate concentrations and gout were not associated with PA.
KCI
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