模拟深部脑刺激通路激活的结构连接体比较

IF 4.7 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-04-11 DOI:10.1016/j.neuroimage.2025.121211

Ketan Mehta , Angela M. Noecker , Cameron C. McIntyre

{"title":"模拟深部脑刺激通路激活的结构连接体比较","authors":"Ketan Mehta , Angela M. Noecker , Cameron C. McIntyre","doi":"10.1016/j.neuroimage.2025.121211","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Structural connectivity models of the brain are commonly employed to identify pathways that are directly activated during deep brain stimulation (DBS). However, various connectomes differ in the technical parameters, parcellation schemes, and methodological approaches used in their construction.</div></div><div><h3>Objective</h3><div>The goal of this study was to compare and quantify variability in DBS pathway activation predictions when using different structural connectomes, while using identical electrode placements and stimulation volumes in the brain.</div></div><div><h3>Approach</h3><div>We analyzed four example structural connectomes: 1) Horn normative connectome (whole brain), 2) Yeh population-averaged tract-to-region pathway atlas (whole brain), 3) Petersen histology-based pathway atlas (subthalamic focused), and 4) Majtanik histology-based pathway atlas (anterior thalamus focused). DBS simulations were performed with each connectome, at four generalized locations for DBS electrode placement: 1) subthalamic nucleus, 2) anterior nucleus of thalamus, 3) ventral capsule, and 4) ventral intermediate nucleus of thalamus.</div></div><div><h3>Results</h3><div>The choice of connectome used in the simulations resulted in notably distinct pathway activation predictions, and quantitative analysis indicated little congruence in the predicted patterns of brain network connectivity. The Horn and Yeh tractography-based connectomes provided estimates of DBS connectivity for any stimulation location in the brain, but have limitations in their anatomical validity. The Petersen and Majtanik histology-based connectomes are more anatomically realistic, but are only applicable to specific DBS targets because of their limited representation of pathways.</div></div><div><h3>Significance</h3><div>The widely varying and inconsistent inferences of DBS network connectivity raises substantial concern regarding the general reliability of connectomic DBS studies, especially those that lack anatomical and/or electrophysiological validation in their analyses.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"312 ","pages":"Article 121211"},"PeriodicalIF":4.7000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of structural connectomes for modeling deep brain stimulation pathway activation\",\"authors\":\"Ketan Mehta , Angela M. Noecker , Cameron C. McIntyre\",\"doi\":\"10.1016/j.neuroimage.2025.121211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Structural connectivity models of the brain are commonly employed to identify pathways that are directly activated during deep brain stimulation (DBS). However, various connectomes differ in the technical parameters, parcellation schemes, and methodological approaches used in their construction.</div></div><div><h3>Objective</h3><div>The goal of this study was to compare and quantify variability in DBS pathway activation predictions when using different structural connectomes, while using identical electrode placements and stimulation volumes in the brain.</div></div><div><h3>Approach</h3><div>We analyzed four example structural connectomes: 1) Horn normative connectome (whole brain), 2) Yeh population-averaged tract-to-region pathway atlas (whole brain), 3) Petersen histology-based pathway atlas (subthalamic focused), and 4) Majtanik histology-based pathway atlas (anterior thalamus focused). DBS simulations were performed with each connectome, at four generalized locations for DBS electrode placement: 1) subthalamic nucleus, 2) anterior nucleus of thalamus, 3) ventral capsule, and 4) ventral intermediate nucleus of thalamus.</div></div><div><h3>Results</h3><div>The choice of connectome used in the simulations resulted in notably distinct pathway activation predictions, and quantitative analysis indicated little congruence in the predicted patterns of brain network connectivity. The Horn and Yeh tractography-based connectomes provided estimates of DBS connectivity for any stimulation location in the brain, but have limitations in their anatomical validity. The Petersen and Majtanik histology-based connectomes are more anatomically realistic, but are only applicable to specific DBS targets because of their limited representation of pathways.</div></div><div><h3>Significance</h3><div>The widely varying and inconsistent inferences of DBS network connectivity raises substantial concern regarding the general reliability of connectomic DBS studies, especially those that lack anatomical and/or electrophysiological validation in their analyses.</div></div>\",\"PeriodicalId\":19299,\"journal\":{\"name\":\"NeuroImage\",\"volume\":\"312 \",\"pages\":\"Article 121211\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NeuroImage\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1053811925002149\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROIMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NeuroImage","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053811925002149","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}

引用次数: 0

摘要

大脑结构连接模型通常用于识别在深部脑刺激（DBS）期间直接激活的通路。然而，不同的连接体在技术参数、分割方案和构建方法上有所不同。本研究的目的是比较和量化使用不同结构连接体时DBS通路激活预测的可变性，同时在大脑中使用相同的电极位置和刺激体积。我们分析了四个结构连接组的例子：1)Horn规范连接组（全脑），2)Yeh种群平均通道到区域通路图谱（全脑），3)Petersen基于组织学的通路图谱（丘脑下聚焦），4)Majtanik基于组织学的通路图谱（丘脑前聚焦）。对每个连接组进行DBS模拟，在四个一般位置放置DBS电极：1)丘脑下核，2)丘脑前核，3)腹侧囊和4)丘脑腹侧中间核。结果模拟中使用的连接组的选择导致了明显不同的通路激活预测，定量分析表明，预测的大脑网络连接模式几乎不一致。基于Horn和Yeh神经束图的连接体提供了脑内任何刺激位置的DBS连接估计，但其解剖学有效性存在局限性。Petersen和Majtanik基于组织学的连接体在解剖学上更加真实，但由于它们对通路的有限表征，仅适用于特定的DBS靶点。DBS网络连通性的广泛差异和不一致的推断引起了对连接组DBS研究的总体可靠性的实质性关注，特别是那些在分析中缺乏解剖学和/或电生理验证的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Comparison of structural connectomes for modeling deep brain stimulation pathway activation

Introduction

Structural connectivity models of the brain are commonly employed to identify pathways that are directly activated during deep brain stimulation (DBS). However, various connectomes differ in the technical parameters, parcellation schemes, and methodological approaches used in their construction.

Objective

The goal of this study was to compare and quantify variability in DBS pathway activation predictions when using different structural connectomes, while using identical electrode placements and stimulation volumes in the brain.

Approach

We analyzed four example structural connectomes: 1) Horn normative connectome (whole brain), 2) Yeh population-averaged tract-to-region pathway atlas (whole brain), 3) Petersen histology-based pathway atlas (subthalamic focused), and 4) Majtanik histology-based pathway atlas (anterior thalamus focused). DBS simulations were performed with each connectome, at four generalized locations for DBS electrode placement: 1) subthalamic nucleus, 2) anterior nucleus of thalamus, 3) ventral capsule, and 4) ventral intermediate nucleus of thalamus.

Results

The choice of connectome used in the simulations resulted in notably distinct pathway activation predictions, and quantitative analysis indicated little congruence in the predicted patterns of brain network connectivity. The Horn and Yeh tractography-based connectomes provided estimates of DBS connectivity for any stimulation location in the brain, but have limitations in their anatomical validity. The Petersen and Majtanik histology-based connectomes are more anatomically realistic, but are only applicable to specific DBS targets because of their limited representation of pathways.

Significance

The widely varying and inconsistent inferences of DBS network connectivity raises substantial concern regarding the general reliability of connectomic DBS studies, especially those that lack anatomical and/or electrophysiological validation in their analyses.

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

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.