基于图谱的结构断层与脑肿瘤患者的认知能力有关。

IF 2.4 3区 医学 Q3 NEUROSCIENCES
Brain connectivity Pub Date : 2024-11-01 Epub Date: 2024-10-10 DOI:10.1089/brain.2024.0028
Hibba Yousef, Brigitta Malagurski Törtei
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引用次数: 0

摘要

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。
Atlas-Based Structural Disconnectomes Are Associated with Cognitive Performance in Brain Tumors.

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 damage, GM parcel-to-parcel disconnections, and reaction time (RTI) as part of the Cambridge Neuropsychological Test Automated Battery 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 the 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.

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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.
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