Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks

Information processing and communication in neuronal circuits is enabled
by dynamic networks of inter-areal coupling of neuronal oscillations in
which hubs play a central role for regulation of communication.
Oscillations are shaped by interactions between pyramidal cells and
interneurons and are locally influenced by neuromodulatory systems. Here,
we set out to investigate how sparial variability in neurotransmitter
receptor and transporter density influences frequency-specific large-scale
networks of phase-synchrony (PS) and amplitude-correlation (AC) in human
magnetoencephalography data. We found that node centrality -
indexing which individual brain regions function as hubs - covaried
positively with GABA, NMDA, dopaminergic, and most serotonergic receptor
and transporter densities in lower frequency bands (delta to low-alpha for
PS, and delta for AC) and in the gamma band, but negatively in between.
These results establish how local microarchitecture influences large-scale
connectivity networks of neuronal oscillations in the human brain in
frequency- and spatially-specific patterns.

神经元环路中的信息处理与通信，依托于神经元振荡的脑区间动态耦合网络，其中枢纽节点在通信调控中扮演核心角色。神经元振荡由锥体细胞与中间神经元的相互作用所塑造，并受局部神经调质系统的调控。本研究旨在探究人脑磁图（magnetoencephalography）数据中，神经递质受体与转运体密度的空间变异如何影响频率特异性的大规模相位同步（phase-synchrony, PS）与振幅相关（amplitude-correlation, AC）网络。研究发现，表征单个脑区枢纽功能的节点中心性（node centrality），在低频频段（相位同步对应δ至低α频段，振幅相关对应δ频段）及γ频段中，与γ-氨基丁酸（GABA）、N-甲基-D-天冬氨酸（NMDA）、多巴胺能及多数5-羟色胺能受体和转运体密度呈正相关，而在中间频段呈负相关。上述研究结果阐明了局部微结构如何以频率和空间特异性的模式，影响人脑神经元振荡的大规模连接网络。