Sheldon Aislin A, Moser Hannah R, Abdullahi Kamar S, Allison Karly D, Mulder Carter B, Montoya Samantha A, Sponheim Scott R, Marjańska Małgorzata, Schallmo Michael-Paul
Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN.
Graduate Program in Neuroscience, University of Minnesota, Minneapolis, MN.
bioRxiv. 2025 May 20:2025.05.15.654118. doi: 10.1101/2025.05.15.654118.
Excitatory and inhibitory neural processes are essential for every aspect of brain function, but current non-invasive neuroimaging methods to study these in the human brain are limited. Recent studies which separate oscillatory and aperiodic components of electrophysiological power spectra have highlighted a relationship between aperiodic activity and functional brain states. Studies in both animal models and humans suggest that the aperiodic slope of electrophysiological power spectra reflects the local balance of excitatory:inhibitory (E:I) synaptic transmission. Aperiodic slope varies across individuals, brain states, and clinical populations, which may reflect important differences in E:I balance. However, there is currently a lack of evidence linking aperiodic slope to other measures of excitation and inhibition in the human brain. Here, we show that flatter (less steep) aperiodic slopes from human electroencephalography (EEG) are associated with higher concentrations of the excitatory neurotransmitter glutamate measured with 7 tesla magnetic resonance spectroscopy (MRS) in the occipital lobe at rest. This suggests that individual differences in aperiodic neural activity reflect cortical glutamate concentrations, providing important insight for understanding changes in neural excitation across brain states and neuropsychiatric populations (e.g., schizophrenia) where glutamatergic function may differ. Our results support the use of aperiodic slope as a non-invasive marker for excitatory tone in the human brain.
兴奋性和抑制性神经过程对大脑功能的各个方面都至关重要,但目前用于在人类大脑中研究这些过程的非侵入性神经成像方法存在局限性。最近分离电生理功率谱的振荡和非周期性成分的研究突出了非周期性活动与功能性脑状态之间的关系。动物模型和人类研究均表明,电生理功率谱的非周期性斜率反映了兴奋性:抑制性(E:I)突触传递的局部平衡。非周期性斜率在个体、脑状态和临床人群中各不相同,这可能反映了E:I平衡的重要差异。然而,目前缺乏将非周期性斜率与人类大脑中其他兴奋和抑制测量指标联系起来的证据。在此,我们表明,来自人类脑电图(EEG)的较平缓(斜率较小)的非周期性斜率与静息状态下枕叶中用7特斯拉磁共振波谱(MRS)测量的兴奋性神经递质谷氨酸的较高浓度相关。这表明非周期性神经活动的个体差异反映了皮质谷氨酸浓度,为理解跨脑状态和神经精神疾病人群(如精神分裂症)中神经兴奋性变化提供了重要见解,在这些人群中谷氨酸能功能可能有所不同。我们的结果支持将非周期性斜率用作人类大脑中兴奋性基调的非侵入性标志物。