Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus
ObjectiveTo investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well as the neural network mechanisms underlying cognitive impairment in T2DM.MethodsA total of 150 T2DM patients and 130 healthy contro...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Neurology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2024.1519397/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841553956037197824 |
|---|---|
| author | Die Shen Xuan Huang Ziyu Diao Jiahe Wang Kun Wang Weiye Lu Shijun Qiu Shijun Qiu |
| author_facet | Die Shen Xuan Huang Ziyu Diao Jiahe Wang Kun Wang Weiye Lu Shijun Qiu Shijun Qiu |
| author_sort | Die Shen |
| collection | DOAJ |
| description | ObjectiveTo investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well as the neural network mechanisms underlying cognitive impairment in T2DM.MethodsA total of 150 T2DM patients and 130 healthy controls (HCs) were recruited in this study. The study used voxel- and surface-based morphometric analyses to investigate morphological alterations (including gray matter volume, cortical thickness, cortical surface area, and localized gyrus index) in the brains of T2DM patients. Then two methods, Jensen-Shannon divergence-based similarities (JSDs) and Kullback–Leibler divergence-based similarities (KLDs), were used to construct individual morphometric brain networks based on gray matter volume, to discover altered features of the topological network and extract abnormal key brain regions. Subsequently, partial correlation analyses were performed to explore the relationship between clinical biochemical indices, neuropsychological test scores, and altered cortical morphology and network indices.ResultsBrain regions with reduced gray matter volume and cortical thickness in T2DM patients were mainly concentrated in the frontal lobe, temporal lobe, parietal lobe, anterior cingulate gyrus, insula, lingual gyrus, and cerebellar hemispheres. The global attributes of the Individual-based morphological brain network were significantly reduced (Cp, Eloc, σ), with an increase in the nodal efficiency of the hippocampus and the nodal local efficiency of the anterior cingulate gyrus, and the nodal local efficiency of the parahippocampal gyrus and transverse temporal gyrus were reduced. There was a correlation between these node attributes and cognitive scale scores.ConclusionThis study demonstrated that patients with T2DM exhibit generalized cortical atrophy and damage to individual morphologic brain networks. It also identified overlapping and cognitively relevant key brain regions, primarily within the limbic/paralimbic network (especially the hippocampus and cingulate gyrus), which may serve as imaging markers for identifying cognitive deficits in T2DM. These findings offer new insights into the neural network mechanisms underlying T2DM-associated brain damage and cognitive impairment. |
| format | Article |
| id | doaj-art-3fe1eec577b84031aad9df85989687a5 |
| institution | Kabale University |
| issn | 1664-2295 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj-art-3fe1eec577b84031aad9df85989687a52025-01-09T05:10:17ZengFrontiers Media S.A.Frontiers in Neurology1664-22952025-01-011510.3389/fneur.2024.15193971519397Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitusDie Shen0Xuan Huang1Ziyu Diao2Jiahe Wang3Kun Wang4Weiye Lu5Shijun Qiu6Shijun Qiu7The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaThe First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaState Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou, ChinaObjectiveTo investigate the altered characteristics of cortical morphology and individual-based morphological brain networks in type 2 diabetes mellitus (T2DM), as well as the neural network mechanisms underlying cognitive impairment in T2DM.MethodsA total of 150 T2DM patients and 130 healthy controls (HCs) were recruited in this study. The study used voxel- and surface-based morphometric analyses to investigate morphological alterations (including gray matter volume, cortical thickness, cortical surface area, and localized gyrus index) in the brains of T2DM patients. Then two methods, Jensen-Shannon divergence-based similarities (JSDs) and Kullback–Leibler divergence-based similarities (KLDs), were used to construct individual morphometric brain networks based on gray matter volume, to discover altered features of the topological network and extract abnormal key brain regions. Subsequently, partial correlation analyses were performed to explore the relationship between clinical biochemical indices, neuropsychological test scores, and altered cortical morphology and network indices.ResultsBrain regions with reduced gray matter volume and cortical thickness in T2DM patients were mainly concentrated in the frontal lobe, temporal lobe, parietal lobe, anterior cingulate gyrus, insula, lingual gyrus, and cerebellar hemispheres. The global attributes of the Individual-based morphological brain network were significantly reduced (Cp, Eloc, σ), with an increase in the nodal efficiency of the hippocampus and the nodal local efficiency of the anterior cingulate gyrus, and the nodal local efficiency of the parahippocampal gyrus and transverse temporal gyrus were reduced. There was a correlation between these node attributes and cognitive scale scores.ConclusionThis study demonstrated that patients with T2DM exhibit generalized cortical atrophy and damage to individual morphologic brain networks. It also identified overlapping and cognitively relevant key brain regions, primarily within the limbic/paralimbic network (especially the hippocampus and cingulate gyrus), which may serve as imaging markers for identifying cognitive deficits in T2DM. These findings offer new insights into the neural network mechanisms underlying T2DM-associated brain damage and cognitive impairment.https://www.frontiersin.org/articles/10.3389/fneur.2024.1519397/fulltype 2 diabetes mellituscognitive impairmentgraph theorymorphological brain networkstructural magnetic resonance imaging |
| spellingShingle | Die Shen Xuan Huang Ziyu Diao Jiahe Wang Kun Wang Weiye Lu Shijun Qiu Shijun Qiu Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus Frontiers in Neurology type 2 diabetes mellitus cognitive impairment graph theory morphological brain network structural magnetic resonance imaging |
| title | Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus |
| title_full | Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus |
| title_fullStr | Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus |
| title_full_unstemmed | Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus |
| title_short | Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus |
| title_sort | association of individual based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus |
| topic | type 2 diabetes mellitus cognitive impairment graph theory morphological brain network structural magnetic resonance imaging |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2024.1519397/full |
| work_keys_str_mv | AT dieshen associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus AT xuanhuang associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus AT ziyudiao associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus AT jiahewang associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus AT kunwang associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus AT weiyelu associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus AT shijunqiu associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus AT shijunqiu associationofindividualbasedmorphologicalbrainnetworkalterationswithcognitiveimpairmentintype2diabetesmellitus |