Neurobehavioral and Clinical Comorbidities in Epilepsy: The Role of White Matter Network Disruption.

IF 3.5 3区 医学 Q1 CLINICAL NEUROLOGY Neuroscientist Pub Date : 2024-02-01 Epub Date: 2022-02-22 DOI:10.1177/10738584221076133
Alena Stasenko, Christine Lin, Leonardo Bonilha, Boris C Bernhardt, Carrie R McDonald
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Abstract

Epilepsy is a common neurological disorder associated with alterations in cortical and subcortical brain networks. Despite a historical focus on gray matter regions involved in seizure generation and propagation, the role of white matter (WM) network disruption in epilepsy and its comorbidities has sparked recent attention. In this review, we describe patterns of WM alterations observed in focal and generalized epilepsy syndromes and highlight studies linking WM disruption to cognitive and psychiatric comorbidities, drug resistance, and poor surgical outcomes. Both tract-based and connectome-based approaches implicate the importance of extratemporal and temporo-limbic WM disconnection across a range of comorbidities, and an evolving literature reveals the utility of WM patterns for predicting outcomes following epilepsy surgery. We encourage new research employing advanced analytic techniques (e.g., machine learning) that will further shape our understanding of epilepsy as a network disorder and guide individualized treatment decisions. We also address the need for research that examines how neuromodulation and other treatments (e.g., laser ablation) affect WM networks, as well as research that leverages larger and more diverse samples, longitudinal designs, and improved magnetic resonance imaging acquisitions. These steps will be critical to ensuring generalizability of current research and determining the extent to which neuroplasticity within WM networks can influence patient outcomes.

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癫痫的神经行为和临床并发症:白质网络破坏的作用。
癫痫是一种常见的神经系统疾病,与大脑皮质和皮质下网络的改变有关。尽管灰质区域参与了癫痫发作的产生和传播,但白质(WM)网络破坏在癫痫及其并发症中的作用最近引起了人们的关注。在这篇综述中,我们描述了在局灶性和全身性癫痫综合征中观察到的白质改变模式,并重点介绍了将白质破坏与认知和精神并发症、耐药性和手术效果不佳联系起来的研究。基于神经束和神经连接体的研究方法表明,颞外和颞-边缘 WM 断开在一系列合并症中的重要性,不断发展的文献揭示了 WM 模式在预测癫痫手术后预后方面的效用。我们鼓励采用先进的分析技术(如机器学习)开展新的研究,这将进一步加深我们对癫痫这种网络紊乱的理解,并为个性化治疗决策提供指导。我们还认为有必要开展研究,探讨神经调控和其他治疗方法(如激光消融)如何影响 WM 网络,以及利用更大、更多样化的样本、纵向设计和改进的磁共振成像采集进行研究。这些步骤对于确保当前研究的可推广性以及确定 WM 网络内的神经可塑性能在多大程度上影响患者的预后至关重要。
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来源期刊
Neuroscientist
Neuroscientist 医学-临床神经学
CiteScore
11.50
自引率
0.00%
发文量
68
期刊介绍: Edited by Stephen G. Waxman, The Neuroscientist (NRO) reviews and evaluates the noteworthy advances and key trends in molecular, cellular, developmental, behavioral systems, and cognitive neuroscience in a unique disease-relevant format. Aimed at basic neuroscientists, neurologists, neurosurgeons, and psychiatrists in research, academic, and clinical settings, The Neuroscientist reviews and updates the most important new and emerging basic and clinical neuroscience research.
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