The aperiodic exponent of subthalamic field potentials reflects excitation/inhibition balance in Parkinsonism.

The aperiodic exponent of subthalamic field potentials reflects excitation/inhibition balance in Parkinsonism.
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DOI:
10.7554/elife.82467
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发表时间:
2023-02-22
期刊:
影响因子:
7.7
通讯作者:
Tan H
Tan H
中科院分区:
生物学1区
文献类型:
--
作者:
Wiest C;Torrecillos F;Pogosyan A;Bange M;Muthuraman M;Groppa S;Hulse N;Hasegawa H;Ashkan K;Baig F;Morgante F;Pereira EA;Mallet N;Magill PJ;Brown P;Sharott A;Tan H

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神经时间序列数据的周期性特征,如局部场电位(LFP),通常使用功率谱进行量化。虽然光谱的非周期指数通常被忽略,但它仍然以生理相关的方式进行调制,并且最近被假设为反映神经元群体中的兴奋/抑制(E/I)平衡。在这里,我们使用了一个跨物种的体内电生理方法来测试的E/I假说的实验性和特发性帕金森氏症的背景下。我们证明,在多巴胺耗尽大鼠,非周期指数和功率在30-100 Hz的丘脑底核(EMPs)LFP反映定义的变化,基底神经节网络的活动;较高的非周期指数符合较低水平的EMPs神经元放电和平衡倾向于抑制。使用从清醒的帕金森病患者记录的STN-LFPs,我们表明,较高的指数伴随多巴胺能药物和脑深部电刺激(DBS)的帕金森病,与未经治疗的帕金森病表现为抑制减少和过度活跃的帕金森病一致。这些结果表明,非周期性指数的STN-LFPs在帕金森病反映E/I平衡,并可能是一个候选的生物标志物适应性DBS。
Periodic features of neural time-series data, such as local field potentials (LFPs), are often quantified using power spectra. While the aperiodic exponent of spectra is typically disregarded, it is nevertheless modulated in a physiologically relevant manner and was recently hypothesised to reflect excitation/inhibition (E/I) balance in neuronal populations. Here, we used a cross-species in vivo electrophysiological approach to test the E/I hypothesis in the context of experimental and idiopathic Parkinsonism. We demonstrate in dopamine-depleted rats that aperiodic exponents and power at 30–100 Hz in subthalamic nucleus (STN) LFPs reflect defined changes in basal ganglia network activity; higher aperiodic exponents tally with lower levels of STN neuron firing and a balance tipped towards inhibition. Using STN-LFPs recorded from awake Parkinson’s patients, we show that higher exponents accompany dopaminergic medication and deep brain stimulation (DBS) of STN, consistent with untreated Parkinson’s manifesting as reduced inhibition and hyperactivity of STN. These results suggest that the aperiodic exponent of STN-LFPs in Parkinsonism reflects E/I balance and might be a candidate biomarker for adaptive DBS.