Objective To investigate the error monitoring function damages on the patients with schizo?phrenia ( SCH) . Methods A total of 32 patients with schizophrenia were compared with matched 34 health con?trols ( HC) on the error monitoring tasks which were compiled by E?Prime. Results The comparison between SCH group ((713.22±174.52)ms,( 491.14±170.29) ms,( 1060.31±130.84) ms,(8.28±12.55)time,( 8.00± 7.53)time respectively) and HC group ((560.73±156.94) ms,(395.62±188.03) ms,(989.85±104.33) ms, (2.97±4.13) times,(3.12±6.50) times) on the reaction time of choice,assessment,incongruent condition,the numbers of uncertain and the numbers of dropout were significant ( t=-3.737, P=0.000;t=-2.159, P=0.035;t=-2.426, P=0.018;t=-2.282, P=0.022;t=-2.824, P=0.006) . The SCH group and HC group did not signifi?cantly difference in Full Correct((124.72±23.74)/(131.74±21.96)times),Full Error((15.69±17.64)/(13.35± 18.63)times),Part Correct((6.83±10.40)/(4.21±7.03)times),Part Error((2.91±10.91)/(0.62±1.10)times) and Accuracy((0.831±0.161)/(0.874±0.159))(P>0.05).There was no significantly correlation among the course of disease,HAMA,HAMD and the error monitoring. Conclusion These results demonstrate that the error monitoring function damages on the patient with SCH may be involved in the dysfunction of anterior cingulate cortex.

Objective To investigate the attention network in patients with obsessive-compulsive disorder (OCD) and generalized anxiety disorder (GAD).Methods 31 GAD patients,31 OCD patients and 30 healthy controls (HC) were tested with attention network test.Results There were significant differences in the main effects with respect to the alerting network(15.87±5.24,26.77±4.33,34.87±3.47) (F=4.619,P=0.012)) and the executive network(114.84±9.64,122.45±5.57,96.57±5.45) (F=3.388,P=0.038) among the OCD,GAD and HC groups.The three groups did significantly differ in RT of the attention network (F=19.808,P=0.000).For the HC group,there was significant main effects with respect to cue conditions(F=29.699,P=0.000).There was a significant correlation between the executive network and Hamilton anxiety scale (r=0.351) and also a significantly negative correlation between the alerting network and Hamilton depression scale (r=-0.267).Conclusion There are attention network damages in patients with OCD and GAD,which may be involved in the impairment of emotion.

Objective　To investigate the association between transporter associated with antigen processing(TAP) gene and ankylosing spondylitis(AS) as well as HLA-B27. Methods　 PCR-SSO was used to analyze the frequencies of TAP alleles and variant amino acids of TAP in 48 patients (B27+) with AS and 123 normal individuals (B27+ or B27-). Results　 The phenotypes of Ile/Ile, Asp/Asp were over-presented for TAP1 and Val/Val, Ala/Thr, Stop/Stop for TAP2 in Han nationality. For each TAP there were four alleles: TAP1*0101, TAP1*0201, TAP1*0301, TAP1*0401, and TAP2*0101, TAP2*0102, TAP2*0201, TAP2*0202. In the research subjects, hybridization blanks accounted for 9.9%(17/171) of TAP1 and 15.8%(27/171) of TAP2. No difference was found in the distribution of TAP alleles between the AS patients(B27+) and normal controls(B27+ or B27-). In the patients group the frequency of phenotype in codon of 333 (Val/Val) was significantly decreased as compared with that of the healthy controls(B27+)(P＜0.05). In addition, the frequency of phenotype Ala/Ala(665) was significantly decreased and that of Ala/Thr was significantly increased in normal controls(B27-), compared with those in normal controls(B27+)(P<0.05). Conclusion　 It is possible that there are new TAP alleles in Han nationality. No association was found between TAP alleles and AS. And the homozygosity for codon 333 which is Val/Val seems to offer resistance to AS among those HLA-B27+ individuals. In normal individuals, negative correlation was found between heterozygote Ala/Thr and B27, and possibly there was positive correlation between phenotype Ala/Ala and B27.

Objective To explore the impairment of attention network function in male patients with alcohol use disorder(AUD) and the main influencing factors of attention network function. Methods Forty-one patients with AUD after withdrawal therapy and 34 healthy controls (HC) matched with their demograph-ic data were selected as subjects of study. Attention function were assessed by attention network test (ANT). Results Compared with the healthy control group((30. 62±19. 74)ms,(98. 59±1. 46)%),there were sig-nificant differences in the reaction time of alerting network(t=-2. 479,P=0. 015) and the correct rate of the attention network test(t=-2. 074,P=0. 044) in the AUD group((17. 02±26. 42)ms,( 95. 07±10. 73)%). Pearson correlation analysis showed the alert network of AUD was negatively correlated with the age of first drinking(r=-0. 316,P=0. 044) and was positively correlated with the score of Penn alcohol craving scale (PACS) (r=0. 364,P=0. 019). The correct rate of attention network function in patients with AUD was negatively correlated with the years for education ( r=-0. 343, P=0. 028) and years for addiction ( r=-0. 337,P=0. 031). Linear regression analysis showed the attention network function of AUD patients was affected by the age of first drinking(β=0. 432,t=2. 079,P=0. 046),the years for addiction(β=-0. 555,t=-3. 127,P=0. 004) and years for uncontrol drinking(β=0. 309,t=2. 074,P=0. 047). Conclusion The AUD patients were demonstrated deficit in the alerting network. The impairment of attention function of AUD patients were influenced by their drinking condition.