ABSTRACT
Objective:To evaluate EEG biofeedback therapy on clinical efficacy of children with different subtypes of attention deficit hyperactivity disorder (ADHD) using the integrated visual and auditory integration continuous performance test (IVA-CPT).Methods:Children with ADHD who completed more than 60 times of EEG biofeedback training in Hangzhou Seventh People's Hospital from July 2018 to September 2020 were selected as the research subjects. According to the results of IAV-CPT before treatment, all the children were divided into three subtypes: attention deficit type ( n=21), impulse hyperactivity type ( n=11), and mixed type ( n=30). The differences of symptom improvement between the three subtypes before and after training were compared by SPSS 23.0 software. Results:(1) In terms of response control (a total of 9 items), there was no statistical significance in the attention deficit group before and after treatment (all P>0.05). In the hyperactivity group, the scores of visual and auditory response control, full scale response control, auditory prudence and auditory consistency, visual focus quotient and visual consistency before treatment were significantly lower than those after treatment(all P<0.05). In the mixed group, the scores of visual and auditory response control, full scale response control, auditory prudence, visual consistency, and visual prudence before treatment were significantly lower than those after treatment(all P<0.05). In terms of attention (a total of 9 items), the scores of auditory vigilance, auditory attention, visual attention, full scale attention, visual vigilance and visual speed in the attention deficit group before treatment were significantly lower than those after treatment(all P<0.05). The scores of visual attention, full scale attention, visual focus quotient (all P<0.01), auditory attention and visual speed (all P<0.05) in hyperactivity group before treatment were significantly lower than those after treatment. In the mixed group, the scores of the other 8 items before treatment were significantly lower than those after treatment (all P<0.01, auditory focus quotient were P<0.05), except that the auditory speed had no statistical significance before and after treatment.(2)After EEG biofeedback training, the changes of IVA-CPT scores of the three groups before and after treatment(visual response control (-2.76±24.39), (19.55±19.94), (12.93±25.30), F=3.932, P=0.025), (full scale response control (2.38±20.77), (21.27±15.86), (15.43±25.69), F=3.158, P=0.050), (full scale attention (18.43±27.44), (11.36±11.40), (26.23±18.41), F=4.692, P=0.016), (auditory vigilance (20.23±42.65), (6.55±10.20), (33.63±36.30), F=7.160, P=0.002), (visual vigilance (19.48±28.55), (5.27±10.62), (33.27±28.26), F=10.876, P<0.001), (visual focus quotient (-2.24±23.67), (14.45±13.79), (12.83±21.91), F=3.669, P=0.031) were statistically significant. After LSD comparison, the changes of visual control and total control scores in the attention deficit group before and after treatment were significantly lower than those in the impulse hyperactivity group (all P<0.05) and the mixed group (all P<0.05). In the three items of total attention score, auditory vigilance and visual vigilance, the changes of impulsivity hyperactivity group before and after treatment were significantly lower than those of mixed group ( P=0.050, P<0.05, P<0.01, respectively). The changes of visual attention quotient in the attention deficit group before and after treatment were significantly lower than those in the impulse hyperactivity group and the mixed group (all P<0.05). Conclusion:EEG biofeedback has clinical efficacy in the three groups of subtypes of ADHD, but the efficacy is different, and individualized EEG training programs should be developed for different subtypes of children on the basis of standard TBR therapy protocol.
ABSTRACT
Objective:To explore the regional brain activities in healthy adolescent subjects after sleep deprivation (SD) using amplitude of low-frequency fluctuation (ALFF) method.Methods:Total of 16 healthy adolescent subjects (8 males,8 females;aged 13-20 years) were recruited in the community and the campus through the internet and posters.Each of the 16 healthy adolescent subject underwent the attention network test and magnetic resonance imaging (MRI) session twice:once was after rested wakefulness (RW condition),and the other was after SD condition.Amplitude of low frequency fluctuation (ALFF) method was used to assess the local brain features.The mean ALFF signal values of the different brain areas were performed to investigate their relationships with the accuracy rate,reaction time and lapse rate in the attention network test,and were analyzed with a receiver operating characteristic (ROC) curve to investigate their sensitivities and specificities to distinguish the SD condition from the RW condition.Results:Subjects showed a lower response accuracy rate [(83 ± 12) ％ vs.(97 ± 4) ％,P ＜ 0.05],a longer response time [(832 ± 134) ms vs.(715 ± 97) ms,P ＜ 0.05] and a higher lapse rate [(15 ± 11)％ vs.(2.4 ±7.3)％,P ＜0.05] under SD condition than under RW condition.They showed higher ALFF area in the right cuneus (BA 17,BA 18),and lower ALFF areas in the right lentiform nucleus,right claustrum,left dorsolateral prefrontal cortex (BA 46) and left inferior parietal cortex (BA 39) under SD condition than under RW condition.Under SD condition,the mean ALFF signal value of the right claustrum showed a significant positive correlation with the accuracy rate (r =0.69,P ＜0.05),and a negative correlation with the lapse rate (r =-0.71,P ＜0.05).The mean ALFF signal value of the dorsolateral prefrontal cortex showed a significant positive correlation with the reaction time (r =0.68,P ＜ 0.05).The values of area under the curve of the right cuneus,right lentiform nucleus,right claustrum,left dorsolateral prefrontal cortex and left inferior parietal cortice were 0.9,0.8,0.9,0.8 and 0.9,respectively.These different ALFF areas also showed high degree of sensitivities and specificities.Conclusion:Sleep deprivation leads to the dysfunction in the default mode network,anticorrelatedtask-positive network,and advanced cognitive function brain areas,and the functional compensation in the visual network.
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Objective To understand the body image disturbence in patients with disharmony facial pattern and to provide reliable reference of clinical selection in reforming faical patterns . Methods A total of 30 patients with disharmony facial patterns (experimental group) and 30 persons with harmony facial pattern (control group) were tested and evaluated by the Self Rating Scale of Body Image system. Results Total scores in 12 patients of the experimental group were over 36 marks(40.0 %) and so was only one people in control group (3.3 %). There was a statistically significant ( P