Uncovering the biological basis of control energy: Structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy.
Uncovering the biological basis of control energy: Structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy.
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DOI：
10.1126/sciadv.abn2293
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发表时间：
2022-11-11
期刊：
影响因子：
13.6
通讯作者：
中科院分区：
文献类型：
--
作者：
网络控制理论越来越多地用于通过模拟神经动力学来描绘大脑的能量景观。这种方法基于使用扩散磁共振成像测量的结构连接体来估计模拟大脑回路激活所需的控制能量，从而量化这些回路的能量效率。然而，控制能量的生物学基础仍然未知，阻碍了其进一步应用。为了填补这一空白，调查颞叶癫痫作为一种病变模型，我们表明，患者需要更高的控制能量激活边缘系统网络比健康志愿者，特别是同侧的癫痫发作的重点。同侧和对侧颞叶边缘区域之间的能量不平衡是通过使用正电子发射断层扫描测量的葡萄糖代谢的不对称模式来跟踪的，这反过来可以通过海马体中的不对称灰质损失来选择性地解释。我们的调查提供了第一个理论框架统一灰质的完整性，新陈代谢，神经动力学和充满活力的一代。利用癫痫作为人类病变模型，揭示了大脑中控制能量的结构和代谢基础。
Network control theory is increasingly used to profile the brain’s energy landscape via simulations of neural dynamics. This approach estimates the control energy required to simulate the activation of brain circuits based on structural connectome measured using diffusion magnetic resonance imaging, thereby quantifying those circuits’ energetic efficiency. The biological basis of control energy, however, remains unknown, hampering its further application. To fill this gap, investigating temporal lobe epilepsy as a lesion model, we show that patients require higher control energy to activate the limbic network than healthy volunteers, especially ipsilateral to the seizure focus. The energetic imbalance between ipsilateral and contralateral temporolimbic regions is tracked by asymmetric patterns of glucose metabolism measured using positron emission tomography, which, in turn, may be selectively explained by asymmetric gray matter loss as evidenced in the hippocampus. Our investigation provides the first theoretical framework unifying gray matter integrity, metabolism, and energetic generation of neural dynamics. The structural and metabolic basis of control energy in the brain is uncovered by leveraging epilepsy as a human lesion model.
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DOI：
10.1016/j.nicl.2021.102702
发表时间：
2021
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Banjac S;Roger E;Pichat C;Cousin E;Mosca C;Lamalle L;Krainik A;Kahane P;Baciu M
通讯作者：
Baciu M
影响因子：
25
作者：
Dworkin, Jordan D.;Linn, Kristin A.;Bassett, Danielle S.
通讯作者：
Bassett, Danielle S.
影响因子：
5.7
作者：
Bryson, AE
通讯作者：
Bryson, AE
影响因子：
16.2
作者：
Cui, Zaixu;Li, Hongming;Satterthwaite, Theodore D.
通讯作者：
Satterthwaite, Theodore D.
影响因子：
5.6
作者：
Dlugos, DJ;Jaggi, J;Sperling, MR
通讯作者：
Sperling, MR