Atlas-based structural disconnectomes are associated to cognitive performance in brain tumors.

IF 2.4 3区 医学 Q3 NEUROSCIENCES Brain connectivity Pub Date : 2024-09-20 DOI:10.1089/brain.2024.0028
Hibba Yousef, Brigitta Malagurski Törtei
{"title":"Atlas-based structural disconnectomes are associated to cognitive performance in brain tumors.","authors":"Hibba Yousef, Brigitta Malagurski Törtei","doi":"10.1089/brain.2024.0028","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Brain tumors are associated with impaired cognitive functioning, which may result from disruptions in brain structural connectivity. Estimating structural disconnections is a more advantageous representation of tumor impact and can be performed indirectly through normative brain atlases.</p><p><strong>Materials and methods: </strong>Using a publicly available dataset of glioma and meningioma patient MRI scans and tumor masks, latent correlations were estimated between measures of structural disconnection and attention-based cognitive functioning. These measures included gray matter (GM) parcel damage, white matter tract (WMT) damage, GM parcel-to-parcel disconnections, and reaction time (RTI) as part of the Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess attention.</p><p><strong>Results: </strong>Preprocessing pipelines with two different methods of minimizing the pathology impact on MRI normalization were utilized: cost function masking and lesion filling. The results across both pipelines were nearly consistent, with significant correlations mainly found between RTI measures and the damage to left inferior fronto-occipital and uncinate fasciculus, as well as the left prefrontal-visual disconnections.</p><p><strong>Conclusions: </strong>This alludes to the importance of left-hemispheric prefrontal-visual coupling in attention-based tasks, particularly those involving object- and feature-based attention.</p>","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain connectivity","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/brain.2024.0028","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Brain tumors are associated with impaired cognitive functioning, which may result from disruptions in brain structural connectivity. Estimating structural disconnections is a more advantageous representation of tumor impact and can be performed indirectly through normative brain atlases.

Materials and methods: Using a publicly available dataset of glioma and meningioma patient MRI scans and tumor masks, latent correlations were estimated between measures of structural disconnection and attention-based cognitive functioning. These measures included gray matter (GM) parcel damage, white matter tract (WMT) damage, GM parcel-to-parcel disconnections, and reaction time (RTI) as part of the Cambridge Neuropsychological Test Automated Battery (CANTAB) to assess attention.

Results: Preprocessing pipelines with two different methods of minimizing the pathology impact on MRI normalization were utilized: cost function masking and lesion filling. The results across both pipelines were nearly consistent, with significant correlations mainly found between RTI measures and the damage to left inferior fronto-occipital and uncinate fasciculus, as well as the left prefrontal-visual disconnections.

Conclusions: This alludes to the importance of left-hemispheric prefrontal-visual coupling in attention-based tasks, particularly those involving object- and feature-based attention.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于图谱的结构断层与脑肿瘤患者的认知能力有关。
背景:脑肿瘤与认知功能受损有关,而认知功能受损可能是大脑结构连接中断所致。估算结构连接断开情况更能体现肿瘤的影响,而且可以通过标准脑图谱间接进行估算:利用公开的胶质瘤和脑膜瘤患者核磁共振成像扫描数据集和肿瘤掩膜,估算了结构断开与注意力认知功能之间的潜在相关性。这些测量指标包括灰质(GM)包裹损伤、白质束(WMT)损伤、GM包裹与包裹之间的断开,以及作为剑桥神经心理测试自动化电池(CANTAB)一部分的反应时间(RTI),以评估注意力:预处理流水线采用了两种不同的方法来尽量减少病理对核磁共振成像正常化的影响:成本函数掩蔽和病变填充。两种管道的结果几乎一致,RTI测量结果主要与左侧下额枕和钩状筋膜损伤以及左侧前额叶-视觉断开之间存在显著相关性:这表明左半球前额叶-视觉耦合在注意力任务中的重要性,尤其是那些涉及基于对象和特征的注意力的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Brain connectivity
Brain connectivity Neuroscience-General Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
80
期刊介绍: Brain Connectivity provides groundbreaking findings in the rapidly advancing field of connectivity research at the systems and network levels. The Journal disseminates information on brain mapping, modeling, novel research techniques, new imaging modalities, preclinical animal studies, and the translation of research discoveries from the laboratory to the clinic. This essential journal fosters the application of basic biological discoveries and contributes to the development of novel diagnostic and therapeutic interventions to recognize and treat a broad range of neurodegenerative and psychiatric disorders such as: Alzheimer’s disease, attention-deficit hyperactivity disorder, posttraumatic stress disorder, epilepsy, traumatic brain injury, stroke, dementia, and depression.
期刊最新文献
Editorial: Advancing Neuroscience Through Innovative Methods and Clinical Applications. Altered functional coupling of the bed nucleus of the stria terminalis and amygdala in spider phobic fear. Association of exercise with better olfactory performance and higher functional connectivity between the olfactory cortex and the prefrontal cortex: a resting-state fNIRS study. Atlas-based structural disconnectomes are associated to cognitive performance in brain tumors. Connectivity Changes Following Episodic Future Thinking in Alcohol Use Disorder.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1