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Mapping subcortical connectivity related to cortical gamma and theta oscillations

机译:映射与皮质伽马和theta振荡有关的皮质下连通性

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An open problem in signal processing and bioimaging involves the development of techniques to localize the circuits that subserve neural oscillations in the living human brain. This is an important challenge for basic and translational neuroscience since frequency-specific rhythms are hypothesized to code for sensorimotor and cognitive processes and aberrations in these rhythms develop as early markers of pathology in disorders such as epilepsy and Parkinson's disease. Methods to reconstruct the subcortical white matter networks related to different frequency bands have been limited by the dual challenges of recording electrical activity directly from human cortex with high spatial resolution and the inability, until a decade ago, to map white matter connectivity in vivo. In the present study, a multi-modal fusion of electrocorticography (ECoG) and diffusion tensor imaging (DTI) tractography data collected from 9 neurosurgical patients performing a working memory task known to elicit robust distributed cortical gamma and theta oscillations is presented. A similarity analysis of connectivity underlying 629 intracranial electrodes revealed distinct patterns of white matter terminating near cortex that exhibited gamma, theta, and conjoint gamma and theta oscillatory power. Future applications of this method for parcellating neural circuitry in normal and pathological states are discussed.
机译:信号处理和生物成像中的一个开放性问题涉及技术的发展,以定位可在人的大脑中保留神经振荡的电路。这是对基础和转化神经科学的重要挑战,因为假设特定频率的节律编码感觉运动和认知过程,并且这些节律中的畸变发展为诸如癫痫和帕金森氏病等疾病的早期病理学标志。重建与不同频带相关的皮层下白质网络的方法受到直接挑战,即直接从人类皮层以高空间分辨率记录电活动并直到十年前还无法在体内绘制白质连通性的双重挑战。在本研究中,提出了从9名神经外科患者收集的执行皮质记忆伽马和theta振荡引起的工作记忆任务的脑电图(ECoG)和弥散张量成像(DTI)超声图像数据的多模式融合。对629个颅内电极下方的连通性的相似性分析显示,白质的不同模式终止于皮质附近,呈现出伽马,θ和共同的伽马与θ振荡能力。讨论了该方法在正常状态和病理状态下用于神经电路分解的未来应用。

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