共 103 条
Cognitive theories of autism based on the interactions between brain functional networks
被引:4
作者:
Alamdari, Sarah Barzegari
[1
]
Damavandi, Masoumeh Sadeghi
[1
]
Zarei, Mojtaba
[2
,3
]
Khosrowabadi, Reza
[1
]
机构:
[1] Shahid Beheshti Univ, Inst Cognit & Brain Sci, Tehran, Iran
[2] Univ Southern Denmark, Neurol Unit, Odense, Denmark
[3] Shahid Beheshti Univ, Inst Med Sci & Technol, Tehran, Iran
来源:
FRONTIERS IN HUMAN NEUROSCIENCE
|
2022年
/
16卷
关键词:
autism spectrum disorder;
cognitive theories;
resting-state fMRI;
intrinsic connectivity networks;
graph theory;
DEFAULT MODE NETWORK;
RESTING-STATE NETWORKS;
SPECTRUM DISORDER;
CONNECTIVITY;
ORGANIZATION;
CHILDREN;
PATTERNS;
OVERCONNECTIVITY;
SPECIALIZATION;
PARCELLATION;
D O I:
10.3389/fnhum.2022.828985
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Cognitive functions are directly related to interactions between the brain's functional networks. This functional organization changes in the autism spectrum disorder (ASD). However, the heterogeneous nature of autism brings inconsistency in the findings, and specific pattern of changes based on the cognitive theories of ASD still requires to be well-understood. In this study, we hypothesized that the theory of mind (ToM), and the weak central coherence theory must follow an alteration pattern in the network level of functional interactions. The main aim is to understand this pattern by evaluating interactions between all the brain functional networks. Moreover, the association between the significantly altered interactions and cognitive dysfunctions in autism is also investigated. We used resting-state fMRI data of 106 subjects (5-14 years, 46 ASD: five female, 60 HC: 18 female) to define the brain functional networks. Functional networks were calculated by applying four parcellation masks and their interactions were estimated using Pearson's correlation between pairs of them. Subsequently, for each mask, a graph was formed based on the connectome of interactions. Then, the local and global parameters of the graph were calculated. Finally, statistical analysis was performed using a two-sample t-test to highlight the significant differences between autistic and healthy control groups. Our corrected results show significant changes in the interaction of default mode, sensorimotor, visuospatial, visual, and language networks with other functional networks that can support the main cognitive theories of autism. We hope this finding sheds light on a better understanding of the neural underpinning of autism.
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