Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Objective To observe changes of white matter function in adolescent smoker(AS)with resting-state functional MRI(rs-fMRI)fractional amplitude of low-frequency fluctuation(fALFF)technique.Methods Forty-five adolescents(AS group)and 45 control subjects(control group)were prospectively enrolled,and brain rs-fMRI were acquired.Brain regions with fALFF being different between groups were observed,and the correlations with clinical indicators were analyzed.Results Compared with that in control group,fALFF of the right superior longitudinal fasciculus significantly elevated in AS group(FDR correct Q＜0.05),in which the peak of the cluster was positively correlated with score of Fagerstr?m test for nicotine dependence(FTND)(r=0.294,P=0.049).Conclusion White matter function changed in AS,presenting as significantly increased fALFF in right superior longitudinal fasciculus,which was positively correlated with nicotine dependence.

Objective To observe changes of white matter function in adolescent smoker(AS)with resting-state functional MRI(rs-fMRI)fractional amplitude of low-frequency fluctuation(fALFF)technique.Methods Forty-five adolescents(AS group)and 45 control subjects(control group)were prospectively enrolled,and brain rs-fMRI were acquired.Brain regions with fALFF being different between groups were observed,and the correlations with clinical indicators were analyzed.Results Compared with that in control group,fALFF of the right superior longitudinal fasciculus significantly elevated in AS group(FDR correct Q＜0.05),in which the peak of the cluster was positively correlated with score of Fagerstr?m test for nicotine dependence(FTND)(r=0.294,P=0.049).Conclusion White matter function changed in AS,presenting as significantly increased fALFF in right superior longitudinal fasciculus,which was positively correlated with nicotine dependence.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.