TY  - INPR
A1  - Edwards, Luke J.
A1  - McColgan, Peter
A1  - Helbling, Saskia
A1  - Zarkali, Angeliki
A1  - Vaculčiaková, Lenka
A1  - Pine, Kerrin J.
A1  - Dick, Fred
A1  - Weiskopf, Nikolaus
T1  - Quantitative MRI maps of human neocortex explored using cell type-specific gene expression analysis
T2  - bioRxiv
N2  - Quantitative MRI (qMRI) allows extraction of reproducible and robust parameter maps. However, the connection to underlying biological substrates remains murky, especially in the complex, densely packed cortex. We investigated associations in human neocortex between qMRI parameters and neocortical cell types by comparing the spatial distribution of the qMRI parameters longitudinal relaxation rate (R1), effective transverse relaxation rate (R2∗), and magnetization transfer saturation (MTsat) to gene expression from the Allen Human Brain Atlas, then combining this with lists of genes enriched in specific cell types found in the human brain. As qMRI parameters are magnetic field strength-dependent, the analysis was performed on MRI data at 3T and 7T. All qMRI parameters significantly covaried with genes enriched in GABA- and glutamatergic neurons, i.e. they were associated with cytoarchitecture. The qMRI parameters also significantly covaried with the distribution of genes enriched in astrocytes (R2∗ at 3T, R1 at 7T), endothelial cells (R1 and MTsat at 3T), microglia (R1 and MTsat at 3T, R1 at 7T), and oligodendrocytes (R1 at 7T). These results advance the potential use of qMRI parameters as biomarkers for specific cell types.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/73040
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-730402
IS  - 2022.04.07.487457
ER  -