特发性正常压力脑积水的个体水平皮质形态网络分析:诊断和预后见解。

IF 5.9 1区 医学 Q1 NEUROSCIENCES
Yifeng Yang, Meijing Yan, Lianxi Sun, Xiao Liu, Xuhao Fang, Shihong Li, Guangwu Lin
{"title":"特发性正常压力脑积水的个体水平皮质形态网络分析:诊断和预后见解。","authors":"Yifeng Yang, Meijing Yan, Lianxi Sun, Xiao Liu, Xuhao Fang, Shihong Li, Guangwu Lin","doi":"10.1186/s12987-025-00653-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Idiopathic normal-pressure hydrocephalus (iNPH) is a neurodegenerative disorder characterized by treatable cognitive impairment, remains poorly understood in terms of its underlying pathological mechanisms. Cortical morphological similarity network, which quantify synchronized morphological changes across brain regions, offer novel insights into inter-individual neuroanatomical variability. This study investigates individual-level cortical morphological network patterns in iNPH, explores their diagnostic utility and prognostic value for postoperative outcomes.</p><p><strong>Methods: </strong>We enrolled 56 confirmed iNPH patients, 50 Alzheimer's disease (AD) patients, and 60 healthy controls (HC). Cortical morphological similarity networks were constructed using a morphometric inverse divergence network (MIND) framework, integrating five key cortical features: cortical thickness, mean curvature, sulcal depth, surface area, and cortical volume. Graph theory analysis was employed to quantify global and nodal network properties. Partial correlations with MMSE scores assessed network-cognition relationships. A LASSO-regularized support vector machine (SVM) classifier differentiated iNPH, AD, and HC groups using regional MIND similarity (MINDs) features. Finally, preoperative MRI-derived MINDs were integrated into a LASSO-regularized support vector regression (SVR) model to predict postoperative cognitive and gait improvements following shunt surgery.</p><p><strong>Results: </strong>Both iNPH and AD exhibited disrupted MIND network topology versus HC, including lower clustering coefficient, global efficiency, and local efficiency (all p < 0.05). Distinct spatial patterns emerged: iNPH showed localized lower values in cingulate subregions (degree centrality, node efficiency, MINDs), whereas AD demonstrated widespread alterations in fusiform, insular, and temporoparietal cortices. MMSE-associated MINDs in iNPH localized to frontostriatal circuits, contrasting with diffuse associations in AD. The multimodal classifier combining ventricular enlargement, regional brain volume, and MINDs achieved 87.00% accuracy (macro-AUC = 0.96) in three-group discrimination. Moreover, preoperative MINDs effectively predicted postoperative improvements in cognition and gait, with correlation coefficients of 0.941 and 0.889, respectively, between predicted and actual scores.</p><p><strong>Conclusions: </strong>The MIND-based morphological similarity network reveals coordinated cortical morphological alterations in iNPH and highlights its heterogeneity compared to AD. These findings offer potential biomarkers to differentiate iNPH from AD. Furthermore, the predictive efficacy of MIND-based features for postoperative outcomes underscores their utility as non-invasive preoperative tools for evaluating shunt surgery effectiveness.</p>","PeriodicalId":12321,"journal":{"name":"Fluids and Barriers of the CNS","volume":"22 1","pages":"43"},"PeriodicalIF":5.9000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12057220/pdf/","citationCount":"0","resultStr":"{\"title\":\"Individual-level cortical morphological network analysis in idiopathic normal pressure hydrocephalus: diagnostic and prognostic insights.\",\"authors\":\"Yifeng Yang, Meijing Yan, Lianxi Sun, Xiao Liu, Xuhao Fang, Shihong Li, Guangwu Lin\",\"doi\":\"10.1186/s12987-025-00653-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Idiopathic normal-pressure hydrocephalus (iNPH) is a neurodegenerative disorder characterized by treatable cognitive impairment, remains poorly understood in terms of its underlying pathological mechanisms. Cortical morphological similarity network, which quantify synchronized morphological changes across brain regions, offer novel insights into inter-individual neuroanatomical variability. This study investigates individual-level cortical morphological network patterns in iNPH, explores their diagnostic utility and prognostic value for postoperative outcomes.</p><p><strong>Methods: </strong>We enrolled 56 confirmed iNPH patients, 50 Alzheimer's disease (AD) patients, and 60 healthy controls (HC). Cortical morphological similarity networks were constructed using a morphometric inverse divergence network (MIND) framework, integrating five key cortical features: cortical thickness, mean curvature, sulcal depth, surface area, and cortical volume. Graph theory analysis was employed to quantify global and nodal network properties. Partial correlations with MMSE scores assessed network-cognition relationships. A LASSO-regularized support vector machine (SVM) classifier differentiated iNPH, AD, and HC groups using regional MIND similarity (MINDs) features. Finally, preoperative MRI-derived MINDs were integrated into a LASSO-regularized support vector regression (SVR) model to predict postoperative cognitive and gait improvements following shunt surgery.</p><p><strong>Results: </strong>Both iNPH and AD exhibited disrupted MIND network topology versus HC, including lower clustering coefficient, global efficiency, and local efficiency (all p < 0.05). Distinct spatial patterns emerged: iNPH showed localized lower values in cingulate subregions (degree centrality, node efficiency, MINDs), whereas AD demonstrated widespread alterations in fusiform, insular, and temporoparietal cortices. MMSE-associated MINDs in iNPH localized to frontostriatal circuits, contrasting with diffuse associations in AD. The multimodal classifier combining ventricular enlargement, regional brain volume, and MINDs achieved 87.00% accuracy (macro-AUC = 0.96) in three-group discrimination. Moreover, preoperative MINDs effectively predicted postoperative improvements in cognition and gait, with correlation coefficients of 0.941 and 0.889, respectively, between predicted and actual scores.</p><p><strong>Conclusions: </strong>The MIND-based morphological similarity network reveals coordinated cortical morphological alterations in iNPH and highlights its heterogeneity compared to AD. These findings offer potential biomarkers to differentiate iNPH from AD. Furthermore, the predictive efficacy of MIND-based features for postoperative outcomes underscores their utility as non-invasive preoperative tools for evaluating shunt surgery effectiveness.</p>\",\"PeriodicalId\":12321,\"journal\":{\"name\":\"Fluids and Barriers of the CNS\",\"volume\":\"22 1\",\"pages\":\"43\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12057220/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fluids and Barriers of the CNS\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12987-025-00653-w\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fluids and Barriers of the CNS","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12987-025-00653-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

背景:特发性常压脑积水(iNPH)是一种以可治疗的认知障碍为特征的神经退行性疾病,其潜在的病理机制尚不清楚。皮质形态相似网络,量化大脑区域的同步形态变化,为个体间神经解剖学变异性提供了新的见解。本研究探讨了iNPH个体水平的皮质形态网络模式,探讨了其诊断功能和对术后预后的预测价值。方法:我们招募了56例确诊的iNPH患者,50例阿尔茨海默病(AD)患者和60例健康对照(HC)。使用形态测量反发散网络(MIND)框架构建皮层形态相似性网络,整合五个关键皮层特征:皮层厚度、平均曲率、沟深、表面积和皮质体积。图论分析用于量化全局和节点网络特性。与MMSE分数的部分相关性评估了网络认知关系。lasso正则化支持向量机(SVM)分类器使用区域MIND相似度(MINDs)特征区分iNPH, AD和HC组。最后,术前mri衍生的MINDs被整合到lasso正则化支持向量回归(SVR)模型中,以预测分流手术后的术后认知和步态改善。结果:与HC相比,iNPH和AD都表现出大脑网络拓扑结构的破坏,包括更低的聚类系数、整体效率和局部效率(均为p)。结论:基于大脑的形态学相似性网络揭示了iNPH中协调的皮层形态学改变,并突出了与AD相比的异质性。这些发现为区分iNPH和AD提供了潜在的生物标志物。此外,基于mind的特征对术后预后的预测效果强调了它们作为评估分流手术效果的非侵入性术前工具的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Individual-level cortical morphological network analysis in idiopathic normal pressure hydrocephalus: diagnostic and prognostic insights.

Background: Idiopathic normal-pressure hydrocephalus (iNPH) is a neurodegenerative disorder characterized by treatable cognitive impairment, remains poorly understood in terms of its underlying pathological mechanisms. Cortical morphological similarity network, which quantify synchronized morphological changes across brain regions, offer novel insights into inter-individual neuroanatomical variability. This study investigates individual-level cortical morphological network patterns in iNPH, explores their diagnostic utility and prognostic value for postoperative outcomes.

Methods: We enrolled 56 confirmed iNPH patients, 50 Alzheimer's disease (AD) patients, and 60 healthy controls (HC). Cortical morphological similarity networks were constructed using a morphometric inverse divergence network (MIND) framework, integrating five key cortical features: cortical thickness, mean curvature, sulcal depth, surface area, and cortical volume. Graph theory analysis was employed to quantify global and nodal network properties. Partial correlations with MMSE scores assessed network-cognition relationships. A LASSO-regularized support vector machine (SVM) classifier differentiated iNPH, AD, and HC groups using regional MIND similarity (MINDs) features. Finally, preoperative MRI-derived MINDs were integrated into a LASSO-regularized support vector regression (SVR) model to predict postoperative cognitive and gait improvements following shunt surgery.

Results: Both iNPH and AD exhibited disrupted MIND network topology versus HC, including lower clustering coefficient, global efficiency, and local efficiency (all p < 0.05). Distinct spatial patterns emerged: iNPH showed localized lower values in cingulate subregions (degree centrality, node efficiency, MINDs), whereas AD demonstrated widespread alterations in fusiform, insular, and temporoparietal cortices. MMSE-associated MINDs in iNPH localized to frontostriatal circuits, contrasting with diffuse associations in AD. The multimodal classifier combining ventricular enlargement, regional brain volume, and MINDs achieved 87.00% accuracy (macro-AUC = 0.96) in three-group discrimination. Moreover, preoperative MINDs effectively predicted postoperative improvements in cognition and gait, with correlation coefficients of 0.941 and 0.889, respectively, between predicted and actual scores.

Conclusions: The MIND-based morphological similarity network reveals coordinated cortical morphological alterations in iNPH and highlights its heterogeneity compared to AD. These findings offer potential biomarkers to differentiate iNPH from AD. Furthermore, the predictive efficacy of MIND-based features for postoperative outcomes underscores their utility as non-invasive preoperative tools for evaluating shunt surgery effectiveness.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Fluids and Barriers of the CNS
Fluids and Barriers of the CNS Neuroscience-Developmental Neuroscience
CiteScore
10.70
自引率
8.20%
发文量
94
审稿时长
14 weeks
期刊介绍: "Fluids and Barriers of the CNS" is a scholarly open access journal that specializes in the intricate world of the central nervous system's fluids and barriers, which are pivotal for the health and well-being of the human body. This journal is a peer-reviewed platform that welcomes research manuscripts exploring the full spectrum of CNS fluids and barriers, with a particular focus on their roles in both health and disease. At the heart of this journal's interest is the cerebrospinal fluid (CSF), a vital fluid that circulates within the brain and spinal cord, playing a multifaceted role in the normal functioning of the brain and in various neurological conditions. The journal delves into the composition, circulation, and absorption of CSF, as well as its relationship with the parenchymal interstitial fluid and the neurovascular unit at the blood-brain barrier (BBB).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信