Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment
Mild behavioral impairment (MBI), characterized by the late-life onset of sustained and meaningful neuropsychiatric symptoms, is increasingly recognized as a prodromal stage of dementia. However, the underlying neural mechanisms of MBI remain unclear. Here, we examined alterations in the topological...
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2021-09-01
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doaj-0268f51bf5214dd89b443964660c78e52021-09-29T05:27:32ZengFrontiers Media S.A.Frontiers in Neuroanatomy1662-51292021-09-011510.3389/fnana.2021.738100738100Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral ImpairmentJun ShuQiang QiangYuning YanYiqing RenWenshi WeiLi ZhangMild behavioral impairment (MBI), characterized by the late-life onset of sustained and meaningful neuropsychiatric symptoms, is increasingly recognized as a prodromal stage of dementia. However, the underlying neural mechanisms of MBI remain unclear. Here, we examined alterations in the topological organization of the structural covariance networks of patients with MBI (N = 32) compared with normal controls (N = 38). We found that the gray matter structural covariance networks of both the patients with MBI and controls exhibited a small-world topology evidenced by sigma value larger than one. The patients with MBI had significantly decreased clustering coefficients at several network densities and local efficiency at densities ranging from 0.05 to 0.26, indicating decreased local segregation. No significant differences in the characteristic path length, gamma value, sigma value, or global efficiency were detected. Locally, the patients with MBI showed significantly decreased nodal betweenness centrality in the left middle frontal gyrus, right inferior frontal gyrus (opercular part), and left Heschl gyrus and increased betweenness centrality in the left gyrus rectus, right insula, bilateral precuneus, and left thalamus. Moreover, the difference in the bilateral precuneus survived after correcting for multiple comparisons. In addition, a different number and distribution of hubs was identified in patients with MBI, showing more paralimbic hubs than observed in the normal controls. In conclusion, we revealed abnormal topological patterns of the structural covariance networks in patients with MBI and offer new insights into the network dysfunctional mechanisms of MBI.https://www.frontiersin.org/articles/10.3389/fnana.2021.738100/fullmild behavioral impairmentstructural covariance networkgray matter volumesmall-worldneuroimaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jun Shu Qiang Qiang Yuning Yan Yiqing Ren Wenshi Wei Li Zhang |
spellingShingle |
Jun Shu Qiang Qiang Yuning Yan Yiqing Ren Wenshi Wei Li Zhang Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment Frontiers in Neuroanatomy mild behavioral impairment structural covariance network gray matter volume small-world neuroimaging |
author_facet |
Jun Shu Qiang Qiang Yuning Yan Yiqing Ren Wenshi Wei Li Zhang |
author_sort |
Jun Shu |
title |
Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment |
title_short |
Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment |
title_full |
Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment |
title_fullStr |
Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment |
title_full_unstemmed |
Aberrant Topological Patterns of Structural Covariance Networks in Cognitively Normal Elderly Adults With Mild Behavioral Impairment |
title_sort |
aberrant topological patterns of structural covariance networks in cognitively normal elderly adults with mild behavioral impairment |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neuroanatomy |
issn |
1662-5129 |
publishDate |
2021-09-01 |
description |
Mild behavioral impairment (MBI), characterized by the late-life onset of sustained and meaningful neuropsychiatric symptoms, is increasingly recognized as a prodromal stage of dementia. However, the underlying neural mechanisms of MBI remain unclear. Here, we examined alterations in the topological organization of the structural covariance networks of patients with MBI (N = 32) compared with normal controls (N = 38). We found that the gray matter structural covariance networks of both the patients with MBI and controls exhibited a small-world topology evidenced by sigma value larger than one. The patients with MBI had significantly decreased clustering coefficients at several network densities and local efficiency at densities ranging from 0.05 to 0.26, indicating decreased local segregation. No significant differences in the characteristic path length, gamma value, sigma value, or global efficiency were detected. Locally, the patients with MBI showed significantly decreased nodal betweenness centrality in the left middle frontal gyrus, right inferior frontal gyrus (opercular part), and left Heschl gyrus and increased betweenness centrality in the left gyrus rectus, right insula, bilateral precuneus, and left thalamus. Moreover, the difference in the bilateral precuneus survived after correcting for multiple comparisons. In addition, a different number and distribution of hubs was identified in patients with MBI, showing more paralimbic hubs than observed in the normal controls. In conclusion, we revealed abnormal topological patterns of the structural covariance networks in patients with MBI and offer new insights into the network dysfunctional mechanisms of MBI. |
topic |
mild behavioral impairment structural covariance network gray matter volume small-world neuroimaging |
url |
https://www.frontiersin.org/articles/10.3389/fnana.2021.738100/full |
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