Objective To investigate the frequency of lesions detection in patients with cerebral infarction (CI) with SPECT/CT. To investigate fluctuation of regional cerebral blood flow (rCBF) and its relationship with clinical symptoms. Methods Sixty-seven CI patients without cerebellar lesion were randomly selected. The rCBF in the regions of interest (ROI) was examined by SPECT/CT, which was collected from the frontal lobe, temporal lobe, parietal lobe, occipital lobe, thalamus, basal ganglia and cerebellum. The rCBF index was calculated. The association between fluctuation of rCBF index and clinical symptoms of patients was explored. Results There were 251 positive regions in all viewing regions , the total positive rate was 31.2%. The left side was 38.1%, while the right side was 24.4% (χ2=17.522,P < 0.01). In normal group, there were no statistical difference of average rCBF between two halves (P > 0.05). However, the average rCBF on the left parietal lobe was lower (P < 0.01). The average rCBF in the abnormal group was lower than that in ipsilateral normal group (P < 0.01). The average rCBF index in the abnormal group was higher (P < 0.01). In normal group , the average rCBF on the frontal lobe and parietal lobe was low , but the average rCBF on the thalamus and basal ganglia was high (P < 0.01). In abnormal group, there were no statistical difference in the average rCBF (P >0.05). rCBF≥0.7 is a clinical sign of abnormal ROI. Conclusion 30% of ROI of CI patients have lesions and the positive rate of the left side was higher. The biological rCBF values of all lobes were different. Therefore, rCBF index could be used to reflect whether the ROI is normal. rCBF≥0.7 could be used as a sign to quantitatively assess abnormal ROI in clinical practice.

ObjectiveTo investigate the effect of combination with repetitive transcranial magnetic stimulation (rTMS) and median nerve electrical stimulation (MNS) on patients with prolonged disorders of consciousness (pDOC) in different age. MethodsFrom January, 2021 to May, 2023, 93 patients with pDOC in the First Affiliated Hospital of Nanchang University were divided into young group (≤ 45 years old), middle-aged group (46 to 60 years old) and elderly group (> 60 years old). All the groups were treated with rTMS and MNS for four weeks. The Coma Recovery Scale-Revised (CRS-R), Glasgow Coma Scale (GCS), and Full Outline of Unresponsiveness Scale (FOUR) were used to evaluate the efficiency of awakening after treatment and the awakening ratios were compared among three groups weekly. Four weeks after treatment, regional cerebral blood flow (rCBF) was measured with CT perfusion imaging. The score of Glasgow Outcome Scale Extended (GOS-E) was compared six months after treatment. ResultsFrom three weeks after treatment, the scores of CRS-R, GCS and FOUR increased in all groups (P < 0.05). After weekly treatment, there was no significant difference in the composition ratio of consciousness level and the awakening ratio among three groups (χ² < 11.057, P > 0.05). After four weeks of treatment, rCBF improved in three groups (|t| > 2.495, P < 0.05), however, there was no difference among three groups (F < 1.887, P > 0.05). There was no difference in the score of GOS-E at six months after treatment (F = 3.083, P = 0.055). ConclusionrTMS combined with MNS is effective on pDOC patients in different ages, and elderly patients could also benefit from it.

Objective To observe the alterations in functional complexity of brain regions in autism spectrum disorder(ASD)patients and correlations with the predicted brain age.Methods Open brain resting-state functional MRI(rs-MRI)data of 93 ASD patients and 96 typically developing adolescents(healthy subjects)were downloaded.The functional complexity in brain regions were extracted with self-developed virtual digital brain software,and the alterations in functional complexity of brain regions in ASD patients and correlations with their ages were analyzed.Two networks were prospectively trained with data of 65 ASD patients and 67 healthy subjects as the training set to predict brain age,and the results were evaluated,and the predicting errors were compared using test set,i.e.the other 28 ASD patients and 29 healthy subjects.Results Compared to healthy subjects,on the basis of anatomical automatic labeling(AAL)atlas,ASD patients exhibited significantly reduced functional complexity based on Shannon entropy in the left precuneus,left cuneus and right parahippocampal gyrus.Conversely,functional complexity of ASD patients based on permutation entropy significantly increased in the left cuneus and right cerebellar Crus Ⅱ region.The left hippocampus showed reduced functional complexity based on Pearson correlation coefficient,while the left middle temporal gyrus showed increased functional complexity based on Pearson correlation coefficient.The functional complexity in brain regions of ASD patients were not closely correlated with ages(all|r|＜0.4).According to the trained fully connected network,the predicted brain ages of ASD patients and healthy subjects in test set were all lower than their physiological ages,but no significant difference was found between the prediction errors of ASD patients and healthy subjects(P=0.283).Conclusion Functional complexity changed in some brain region functions in ASD patients.The predicted brain ages of ASD patients based on the obtained fully connected network were on the low side,but not obviously affected by the alterations of functional complexity in brain regions.