[Advanced Neurocircuit Mapping via Non-invasive Magnetic Resonance Imaging Techniques].

Q3 Medicine Brain and Nerve Pub Date : 2024-07-01 DOI:10.11477/mf.1416202689
Hirotaka Onoe
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Abstract

The brain comprises a complex network of anatomically distinct regions (each with specialized functions) that collaborate to support various cognitive processes. Therefore, it is important to understand the brain from the perspective of a complex network. Functional magnetic resonance imaging (fMRI) is increasingly being accepted for its ability to provide useful insights into brain function. Among the fMRI techniques available in clinical practice, resting-state fMRI (rsfMRI) represents the core method for mapping brain activity in the absence of specific tasks; studies have reported the usefulness of rsfMRI in the investigation of various human diseases. Functional brain networks, which consist of interconnected regions that show correlated activities, are typically depicted as functional connectivity (FC). FC analysis using rsfMRI data provides extensive information, revealing intrinsic resting-state networks and highlights deviations in network structure among patients with psychiatric disorders. Such network insights not only deepen our understanding of the brain but also facilitate assessment of network alterations associated with psychiatric and neurodegenerative diseases.

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[通过无创磁共振成像技术绘制高级神经回路图]。
大脑由解剖学上各不相同的区域(每个区域都有专门的功能)组成一个复杂的网络,这些区域相互协作,支持各种认知过程。因此,从复杂网络的角度理解大脑非常重要。功能性磁共振成像(fMRI)因其能够提供有关大脑功能的有用信息而被越来越多的人所接受。在临床可用的 fMRI 技术中,静息态 fMRI(rsfMRI)是绘制无特定任务时大脑活动图的核心方法;有研究报告称,rsfMRI 在研究各种人类疾病方面非常有用。大脑功能网络由相互连接的区域组成,这些区域显示出相关的活动,通常被描述为功能连通性(FC)。利用 rsfMRI 数据进行的功能连通性分析可提供广泛的信息,揭示内在的静息态网络,并突出显示精神疾病患者网络结构的偏差。这种网络洞察力不仅加深了我们对大脑的了解,还有助于评估与精神疾病和神经退行性疾病相关的网络改变。
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来源期刊
Brain and Nerve
Brain and Nerve Medicine-Neurology (clinical)
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