A parcellation-based connectomic model of hemispatial neglect

IF 2.3 4区 医学 Q3 CLINICAL NEUROLOGY Journal of Neuroimaging Pub Date : 2023-12-19 DOI:10.1111/jon.13176
Syed A. Ahsan, Nicholas B. Dadario, Jasneet Dhaliwal, Robert G. Briggs, Karol Osipowicz, Syed M. Ahsan, Kassem Chendeb, Andrew K. Conner, Christen M. O'Neal, Chad A. Glenn, Michael E. Sughrue
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Abstract

Background and Purpose

Hemispatial neglect is characterized by a reduced awareness to stimuli on the contralateral side. Current literature suggesting that damage to the right parietal lobe and attention networks may cause hemispatial neglect is conflicting and can be improved by investigating a connectomic model of the “neglect system” and the anatomical specificity of regions involved in it.

Methods

A meta-analysis of voxel-based morphometry magnetic resonance imaging (MRI) studies of hemispatial neglect was used to identify regions associated with neglect. We applied parcellation schemes to these regions and performed diffusion spectrum imaging (DSI) tractography to determine their connectivity. By overlaying neglect areas and maps of the attention networks, we studied the relationship between them.

Results

The meta-analysis generated a list of 13 right hemisphere parcellations. These 13 neglect-related parcellations were predominantly linked by the superior longitudinal fasciculus (SLF) throughout a fronto-parietal-temporal network. We found that the dorsal and ventral attention networks showed partial overlap with the neglect system and included various other higher-order networks.

Conclusions

We provide an anatomically specific connectomic model of the neurobehavioral substrates underlying hemispatial neglect. Our model suggests a fronto-parietal-temporal network linked via the SLF supports the functions impaired in neglect and implicates various higher-order networks which are not limited to the attention networks.

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基于连接组学的半空间忽略模型。
背景和目的:半空间忽略的特征是对对侧刺激的意识减弱。目前的文献表明,右顶叶和注意力网络的损伤可能会导致半空间性忽视,但这种观点相互矛盾,可以通过研究 "忽视系统 "的连接组学模型及其所涉及区域的解剖特异性来加以改进:方法:我们对基于体素形态测量的磁共振成像(MRI)研究进行了荟萃分析,以确定与忽视相关的区域。我们对这些区域采用了分割方案,并进行了弥散频谱成像(DSI)束成像以确定其连接性。通过叠加忽视区域和注意力网络图,我们研究了它们之间的关系:荟萃分析得出了 13 个右半球旁区列表。这13个与忽视相关的旁区主要由上纵筋束(SLF)连接,贯穿整个额叶-顶叶-颞叶网络。我们发现,背侧和腹侧注意网络与忽视系统部分重叠,并包括其他各种高阶网络:结论:我们为半空间性忽视的神经行为基底提供了一个解剖学特异性连接体模型。我们的模型表明,一个通过SLF连接的前顶叶-颞叶网络支持在忽视中受损的功能,并牵涉到各种高阶网络,而这些网络并不局限于注意力网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Neuroimaging
Journal of Neuroimaging 医学-核医学
CiteScore
4.70
自引率
0.00%
发文量
117
审稿时长
6-12 weeks
期刊介绍: Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on: MRI CT Carotid Ultrasound and TCD SPECT PET Endovascular Surgical Neuroradiology Functional MRI Xenon CT and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!
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