Lozano-Soldevilla Diego
Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
Front Comput Neurosci. 2018 Apr 4;12:23. doi: 10.3389/fncom.2018.00023. eCollection 2018.
The parieto-occipital alpha (8-13 Hz) rhythm is by far the strongest spectral fingerprint in the human brain. Almost 90 years later, its physiological origin is still far from clear. In this Research Topic I review human pharmacological studies using electroencephalography (EEG) and magnetoencephalography (MEG) that investigated the physiological mechanisms behind posterior alpha. Based on results from classical and recent experimental studies, I find a wide spectrum of drugs that modulate parieto-occipital alpha power. Alpha frequency is rarely affected, but this might be due to the range of drug dosages employed. Animal and human pharmacological findings suggest that both GABA enhancers and NMDA blockers systematically decrease posterior alpha power. Surprisingly, most of the theoretical frameworks do not seem to embrace these empirical findings and the debate on the functional role of alpha oscillations has been polarized between the inhibition vs. active poles hypotheses. Here, I speculate that the functional role of alpha might depend on physiological excitation as much as on physiological inhibition. This is supported by animal and human pharmacological work showing that GABAergic, glutamatergic, cholinergic, and serotonergic receptors in the thalamus and the cortex play a key role in the regulation of alpha power and frequency. This myriad of physiological modulations fit with the view that the alpha rhythm is a complex rhythm with multiple sources supported by both thalamo-cortical and cortico-cortical loops. Finally, I briefly discuss how future research combining experimental measurements derived from theoretical predictions based of biophysically realistic computational models will be crucial to the reconciliation of these disparate findings.
顶枕区阿尔法(8 - 13赫兹)节律是迄今为止人类大脑中最强的频谱特征。近90年后,其生理起源仍远未明确。在本研究专题中,我回顾了使用脑电图(EEG)和脑磁图(MEG)的人体药理学研究,这些研究调查了后部阿尔法背后的生理机制。基于经典和近期实验研究的结果,我发现有多种药物可调节顶枕区阿尔法功率。阿尔法频率很少受到影响,但这可能是由于所使用的药物剂量范围所致。动物和人体药理学研究结果表明,GABA增强剂和NMDA阻滞剂都会系统性地降低后部阿尔法功率。令人惊讶的是,大多数理论框架似乎并未纳入这些实证研究结果,关于阿尔法振荡功能作用的争论在抑制与活跃极点假说之间形成了两极分化。在此,我推测阿尔法的功能作用可能同样依赖于生理兴奋和生理抑制。这得到了动物和人体药理学研究的支持,这些研究表明丘脑和皮层中的GABA能、谷氨酸能、胆碱能和5-羟色胺能受体在阿尔法功率和频率的调节中起关键作用。这种众多的生理调节与阿尔法节律是一种由丘脑 - 皮层和皮层 - 皮层环路支持的具有多个来源的复杂节律这一观点相契合。最后,我简要讨论了未来结合基于生物物理现实计算模型的理论预测得出的实验测量结果的研究对于调和这些不同发现的关键作用。