Alterations in functional complexity of brain regions in autism spectrum disorder patients and correlations with the predicted brain age
10.13929/j.issn.1003-3289.2024.09.009
- VernacularTitle:孤独症谱系障碍患者脑区功能复杂度变化及其与预测脑龄的关系
- Author:
Tianzi MENG
1
;
Heran LI
;
Shuting LIU
;
Zhe LIU
;
Yingnan WANG
;
Rui LYU
;
Haichen ZHAO
;
Guangyu ZHANG
;
Lemin HE
;
Zhen ZHANG
;
Xiaotao CAI
Author Information
1. 山东第一医科大学(山东省医学科学院)放射学院,山东泰安 271016
- Keywords:
autism spectrum disorder;
magnetic resonance imaging;
brain
- From:
Chinese Journal of Medical Imaging Technology
2024;40(9):1319-1322
- CountryChina
- Language:Chinese
-
Abstract:
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.
