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高能量消耗是颞叶癫痫中异常脑状态转换的特征。

High energy consumption characterizes abnormal brain state transitions in temporal lobe epilepsy.

作者信息

Javidi Sam S, Zhang Qirui, Ankeeta Ankeeta, Sperling Michael R, Tracy Joseph I

机构信息

Farber Institute for Neuroscience, Department of Neurology, Thomas Jefferson University; Philadelphia, PA, USA.

Farber Institute for Neuroscience, Department of Neurology, Thomas Jefferson University; Philadelphia, PA, USA.

出版信息

Neurobiol Dis. 2025 Oct 15;215:107089. doi: 10.1016/j.nbd.2025.107089. Epub 2025 Sep 8.

DOI:10.1016/j.nbd.2025.107089
PMID:40930431
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12502986/
Abstract

Temporal lobe epilepsy (TLE) patients experience shifts between non-seizing and seizing brain states, but the structural networks underlying these transitions remain undefined and poorly characterized. We detected dynamic brain states in resting-state fMRI and constructed linked structural networks utilizing multi-shell diffusion-weighted MR data. Leveraging network control theory, we interrogated the structural data for all possible brain state transitions, identifying those requiring abnormal levels of transition energy (low or high) in TLE compared to matched healthy participants (n's = 25). Results revealed three transitions requiring significantly higher energy in TLE; no abnormally low-energy transitions were observed. In HPs, transitions relied on mediator regions that did not belong to the initial source or final target brain areas. TLE transitions involved a more restricted set of source/target regions, predominantly outside the epileptogenic temporal lobe. Our findings highlight the abnormal and inefficient network mechanisms that accrue from the network entrainment inherent to TLE seizure activity. We argue these findings clarify the pathologic effects and help explain the well-known cognitive inefficiencies and other deficits found in the TLE disorder.

摘要

颞叶癫痫(TLE)患者在非发作性和发作性脑状态之间转换,但这些转换背后的结构网络仍不明确且特征描述不足。我们在静息态功能磁共振成像中检测到动态脑状态,并利用多壳扩散加权磁共振数据构建了相连的结构网络。利用网络控制理论,我们对所有可能的脑状态转换的结构数据进行了研究,确定了与匹配的健康参与者(n = 25)相比,TLE中那些需要异常水平转换能量(低或高)的转换。结果显示,TLE中有三种转换需要显著更高的能量;未观察到异常的低能量转换。在健康参与者中,转换依赖于不属于初始源或最终目标脑区的中介区域。TLE转换涉及一组更受限的源/目标区域,主要在致痫性颞叶之外。我们的研究结果突出了TLE癫痫发作活动所固有的网络夹带产生的异常和低效的网络机制。我们认为这些发现阐明了病理效应,并有助于解释TLE疾病中众所周知的认知低效和其他缺陷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/953c/12502986/3738ddace376/nihms-2112480-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/953c/12502986/eb7fd0248bf3/nihms-2112480-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/953c/12502986/d18cfdd58ffd/nihms-2112480-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/953c/12502986/3738ddace376/nihms-2112480-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/953c/12502986/eb7fd0248bf3/nihms-2112480-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/953c/12502986/d18cfdd58ffd/nihms-2112480-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/953c/12502986/3738ddace376/nihms-2112480-f0003.jpg

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本文引用的文献

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