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 con..., MEG data acquisition
Data from 67 healthy human volunteers (age 18 to 57 years old; mean age: 30.9 ± 8.3 years; 6 left-handed; 32 female, 35 male; 64 Caucasian, 2 South Asian, 1 East Asian) were collected for this study. The study was performed in accordance with the Declaration of Helsinki and with permission of the Ethical Committee of the hospital at which the recordings were carried out. All participants gave written informed consent prior to the recordings. 
MEG data was recorded with a 306-channel (204 planar gradiometers and 102 magnetometers) Triux MEG (Elekta-Neuromag/MEGIN, Helsinki, Finland). We recorded 10 minutes of eyes-open resting-state data from all participants. Bipolar horizontal and vertical EOG were recorded for the detection of ocular artifacts. MEG and EOG were recorded at a 1,000-Hz sampling rate.
T1-weighted anatomical MRI scans (MP-RAGE) were obtained for head models and cortical surface reconstruction at a resolution of 1 × 1 × 1 mm with a 1.5-Tesla MRI s..., , # Linking the microarchitecture of neurotransmitter systems to large-scale MEG resting state networks

[https://doi.org/10.5061/dryad.qz612jmq1](https://doi.org/10.5061/dryad.qz612jmq1)

This dataset provides functional connectivity data from source-reconstructed MEG, as well as receptor maps and other support files that can be used to reproduce the article's findings.

## Description of the data and file structure

**Functional connectivity files**:

*conn_iPLV_67.npy*: A numpy file containing a 4D numpy array containing phase synchrony values (estimated with iPLV) between 200 cortical parcels of the 17-network Schaefer atlas, for 41 narrowband frequencies and 67 subjects. The shape of the array is [subjects x frequencies x parcels x parcels].

*conn_oCC_67.npy*: A numpy file containing a 4D numpy array containing amplitude correlation values (estimated with oCC) between 200 cortical parcels of the 17-network Schaefer atlas, for 41 narrowband frequencies and 67 subjects. The shape of ...,