Functional Connectivity Patterns Following Mild Traumatic Brain Injury and the Association With Longitudinal Cognitive Function

IF 3.3 2区 医学 Q1 NEUROIMAGING
Goretti España-Irla, Emma M. Tinney, Meishan Ai, Mark Nwakamma, Timothy P. Morris
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引用次数: 0

Abstract

Functional magnetic resonance imaging (fMRI) has revealed subtle neuroplastic changes in brain networks following mild traumatic brain injury (mTBI), even when standard clinical imaging fails to detect abnormalities. However, prior findings have been inconsistent, in part due to methodological differences and high researcher degrees of freedom in region-based analyses, which often rely on predefined hypotheses and overlook complex, distributed connectivity patterns. Here, we apply an unbiased, data-driven multi-voxel pattern analysis (MVPA) to examine whole-brain functional connectivity differences in a large cohort of individuals with acute mTBI. Unlike conventional statistical approaches, MVPA enables a data-driven analysis of brain-wide connectivity patterns without requiring prior assumptions about the location or nature of abnormalities, allowing for the identification of the most informative features. This approach provides an exploratory characterization of whole-brain functional connectivity patterns and their relationship with cognitive recovery, offering new insights into the neural mechanisms underlying post-injury outcomes. A total of 265 adults (87 women) between 18 and 83 years old with Glasgow Coma Scale (GCS) scores of 13–15 were included in this analysis. Two replicate samples (n = 165, n = 155), with similar demographic characteristics, were also included. Data were collected as part of the prospective multi-center Transforming Research and Clinical Knowledge in TBI (TRACK-TBI). The goal of this study was to assess whole-brain functional connectivity patterns using fc-MVPA and post hoc seed-to-voxel analyses in a large, well-characterized sample to determine if changes in functional connectivity can differentiate subacute mTBI (within 2 weeks of injury) from a matched group of orthopedic control subjects (n = 49). Additionally, we aimed to investigate whether these connectivity patterns were linked to cognitive performance at 2 weeks, 6 months, and 12 months post-injury to better understand cognitive trajectories and recovery over time in individuals with mTBI. Voxel-to-voxel functional connectivity across the entire connectome revealed significant differences between TBI and no TBI in the functional connectivity patterns of 8 clusters (p-voxel < 0.001, FEW cluster-level p < 0.05) (k > 40, Fmax = 15.36), including right occipital cortex, anterior cingulate gyrus, inferior and middle temporal gyrus, right thalamus, left cerebellum, and the bilateral frontal pole. These clusters belong mainly to the visual network (VIS), frontoparietal network (FPN), default mode network (DMN) and limbic network (LIM). Post hoc characterization of each significant cluster revealed by MVPA using seed-to-voxel analysis showed a mixed pattern of connectivity between relevant networks and subcortico-cortical connections. After connectivity characterization, visual-motor skills assessed with Trail Making Test (TMT) A were significantly associated with the increased anticorrelation between the inferior temporal cortex and the bilateral occipital pole (FPN-VIS connectivity), along with decreased anticorrelations between the cerebellum and extensive areas of the somatomotor network (SMN) over 12 months post injury. Additionally, hypoconnectivity between the frontal pole (LIM) and anterior cingulate gyrus (salience network [SAL]) was associated with better executive functions performance measured by TMT-B over 12 months post-mTBI. In our study examining neuroplastic changes following TBI across the entire voxel-to-voxel functional connectome, we identified significant differences in the functional connectivity patterns of several regions known to be particularly vulnerable to injury mechanisms. Our findings highlight the complex and compensatory nature of brain network alterations after mTBI, suggesting both detrimental and adaptive changes in connectivity that affect cognitive functions. Consequently, our study provides novel evidence that specific brain networks and regions are particularly susceptible to functional connectivity changes during the acute stages of mTBI, which are related to cognitive recovery post-injury.

Abstract Image

轻度创伤性脑损伤后的功能连接模式及其与纵向认知功能的关系
功能磁共振成像(fMRI)揭示了轻度创伤性脑损伤(mTBI)后大脑网络的微妙神经可塑性变化,即使标准临床成像未能发现异常。然而,先前的研究结果并不一致,部分原因是基于区域的分析方法的差异和研究人员的高度自由度,这些分析通常依赖于预定义的假设,而忽略了复杂的分布式连接模式。在这里,我们应用无偏倚的,数据驱动的多体素模式分析(MVPA)来检查急性mTBI患者的全脑功能连接差异。与传统的统计方法不同,MVPA可以对全脑连接模式进行数据驱动分析,而无需事先假设异常的位置或性质,从而可以识别最具信息量的特征。该方法提供了全脑功能连接模式的探索性特征及其与认知恢复的关系,为损伤后结果的神经机制提供了新的见解。共有265名成年人(87名女性),年龄在18至83岁之间,格拉斯哥昏迷量表(GCS)评分为13-15分。2个具有相似人口统计学特征的重复样本(n = 165, n = 155)也被纳入。数据收集作为TBI前瞻性多中心转化研究和临床知识(TRACK-TBI)的一部分。本研究的目的是利用fc-MVPA和事后种子到体素分析,在一个大的、特征明确的样本中评估全脑功能连接模式,以确定功能连接的变化是否可以区分亚急性mTBI(损伤后2周内)和匹配的骨科对照组(n = 49)。此外,我们的目的是研究这些连接模式是否与损伤后2周、6个月和12个月的认知表现有关,以更好地了解mTBI患者的认知轨迹和随时间的恢复。整个连接体的体素间功能连通性显示,脑外伤与非脑外伤在8个脑区(p-voxel < 0.001, FEW脑区水平p <; 0.05) (k > 40, Fmax = 15.36)的功能连通性模式上存在显著差异,包括右枕皮质、前扣带回、颞下回和中回、右丘脑、左小脑和双侧额极。这些集群主要属于视觉网络(VIS)、额顶叶网络(FPN)、默认模式网络(DMN)和边缘网络(LIM)。MVPA利用种子到体素分析揭示的每个重要簇的事后表征显示,相关网络和皮质下-皮质连接之间的连接模式混合。在连接性表征后,用轨迹测试(TMT) A评估的视觉运动技能与损伤后12个月内下颞叶皮层和双侧枕极(FPN-VIS连接性)之间的反相关性增加显著相关,同时小脑和躯体运动网络(SMN)的广泛区域之间的反相关性降低。此外,额极(LIM)和前扣带回(突出网络[SAL])之间的低连通性与mtbi后12个月TMT-B测量的更好的执行功能表现有关。在我们研究TBI后整个体素到体素功能连接组的神经可塑性变化时,我们发现了几个已知特别容易受到损伤机制影响的区域的功能连接模式的显著差异。我们的研究结果强调了mTBI后大脑网络变化的复杂性和代偿性,表明连接的有害和适应性变化都会影响认知功能。因此,我们的研究提供了新的证据,表明在mTBI急性期,特定的大脑网络和区域特别容易受到功能连接变化的影响,这与损伤后的认知恢复有关。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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