Age-dependent vestibular cingulate-cerebral network underlying gravitational perception: a cross-sectional multimodal study.

Q1 Computer Science
Tritan J Plute, Dennis D Spencer, Rafeed Alkawadri
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引用次数: 0

Abstract

Background and objectives: The cingulate gyrus (CG) is a frequently studied yet not wholly understood area of the human cerebrum. Previous studies have implicated CG in different adaptive cognitive-emotional functions and fascinating or debilitating symptoms. We describe an unusual loss of gravity perception/floating sensation in consecutive persons with drug-resistant epilepsy undergoing electrical cortical stimulation (ECS), network analysis, and network robustness mapping.

Methods: Using Intracranial-EEG, Granger causality analysis, cortico-cortical evoked potentials, and fMRI, we explicate the functional networks arising from this phenomenon's anterior, middle, and posterior cingulate cortex.

Results: Fifty-four icEEG cases from 2013 to 2019 were screened. In 40.7% of cases, CG was sampled and in 22.2% the sampling was bilateral. ECS mapping was carried out in 18.5% of the entire cohort and 45.4% of the cingulate sampled cases. Five of the ten CG cases experienced symptoms during stimulation. A total of 1942 electrodes were implanted with a median number of 182 electrode contacts per patient (range: 106-274). The electrode contacts sampled all major cortex regions. Sixty-three contacts were within CG. Of those, 26 were electrically stimulated; 53.8% of the stimulated contacts produced positive responses, whereas 46.2% produced no observable responses. Our study reports a unique perceptive phenomenon of a subjective sense of weightlessness/floating sensation triggered by anterior and posterior CG stimulation, in 30% of cases and 21.42% of electrode stimulation sites. Notable findings include functional connections between the insula, the posterior and anterior cingulate cortex, and networks between the middle cingulate and the frontal and temporal lobes and the cerebellum. We also postulate a vestibular-cerebral-cingulate network responsible for the perception of gravity while suggesting that cingulate functional connectivity follows a long-term developmental trajectory as indicated by a robust, positive correlation with age and the extent of Granger connectivity (r = 0.82, p = 0.0035).

Discussion: We propose, in conjunction with ECS techniques, that a better understanding of the underlying gravity perception networks can lead to promising neuromodulatory clinical applications.

Classification of evidence: This study provides Class II evidence for CG's involvement in the higher order processing of gravity perception and related actions.

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年龄依赖性前庭扣带-大脑网络的重力感知:横断面多模态研究。
背景和目的:扣带回(CG)是人类大脑中一个经常被研究但尚未完全了解的区域。先前的研究表明,CG与不同的适应性认知情感功能和迷人或衰弱症状有关。我们描述了一种不寻常的重力知觉/漂浮感觉丧失在连续的耐药癫痫患者接受脑皮层电刺激(ECS),网络分析和网络鲁棒性映射。方法:利用脑内脑电图、格兰杰因果分析、皮质-皮质诱发电位和功能磁共振成像(fMRI)分析了这种现象产生的前、中、后扣带皮层的功能网络。结果:2013 - 2019年共筛查54例icEEG病例。40.7%的病例取样CG, 22.2%的病例取样双侧。整个队列的18.5%和扣带取样病例的45.4%进行了ECS定位。10例CG病例中有5例在刺激期间出现症状。共植入1942个电极,每位患者平均182个电极接触数(范围:106-274)。电极接触取样了所有主要的皮质区域。63位接触者在CG范围内。其中,26人受到电刺激;53.8%的受刺激接触产生了积极的反应,46.2%的受刺激接触没有产生明显的反应。我们的研究报告了一种独特的感知现象,即由前后CG刺激引发的主观失重/漂浮感,在30%的病例和21.42%的电极刺激部位。值得注意的发现包括脑岛、后扣带皮层和前扣带皮层之间的功能连接,以及中扣带皮层与额叶、颞叶和小脑之间的网络。我们还假设一个前庭-大脑-扣带网络负责重力感知,同时暗示扣带功能连接遵循一个长期的发展轨迹,这表明与年龄和格兰杰连接程度呈正相关(r = 0.82, p = 0.0035)。讨论:我们建议,结合ECS技术,更好地了解潜在的重力感知网络可以导致有前途的神经调节临床应用。证据的分类:本研究提供了CG参与重力感知及相关动作高阶加工的第二类证据。
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来源期刊
Brain Informatics
Brain Informatics Computer Science-Computer Science Applications
CiteScore
9.50
自引率
0.00%
发文量
27
审稿时长
13 weeks
期刊介绍: Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
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