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  Quantitative MRI maps of human neocortex explored using cell type-specific gene expression analysis

Edwards, L., McColgan, P., Helbling, S., Zarkali, A., Vaculciakova, L., Pine, K., et al. (2023). Quantitative MRI maps of human neocortex explored using cell type-specific gene expression analysis. Cerebral Cortex, 33(9), 5704-5716. doi:10.1093/cercor/bhac453.

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 Urheber:
Edwards, Luke1, Autor                 
McColgan, Peter1, 2, Autor
Helbling, Saskia1, 3, Autor                 
Zarkali, Angeliki4, Autor
Vaculciakova, Lenka1, Autor                 
Pine, Kerrin1, Autor                 
Dick, Fred5, Autor
Weiskopf, Nikolaus1, 6, Autor                 
Affiliations:
1Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
2Huntington’s Disease Centre, UCL Queen Square Institute of Neurology, University College London, United Kingdom, ou_persistent22              
3Poeppel Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany, ou_persistent22              
4UK Dementia Research Institute, University College London, United Kingdom, ou_persistent22              
5Birkbeck-UCL Centre for Neuroimaging, London, United Kingdom, ou_persistent22              
6Felix Bloch Institute for Solid State Physics, University of Leipzig, Germany, ou_persistent22              

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Schlagwörter: hMRI; Isocortex; Magnetic resonance imaging; Myelin; Relaxometry
 Zusammenfassung: Quantitative magnetic resonance imaging (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 (${R_{1}}$), effective transverse relaxation rate (${R_{2}}^{\ast }$), 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 (${R_{2}}^{\ast }$ at 3T, ${R_{1}}$ at 7T), endothelial cells (${R_{1}}$ and MTsat at 3T), microglia (${R_{1}}$ and MTsat at 3T, ${R_{1}}$ at 7T), and oligodendrocytes and oligodendrocyte precursor cells (${R_{1}}$ at 7T). These results advance the potential use of qMRI parameters as biomarkers for specific cell types.

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Sprache(n): eng - English
 Datum: 2022-10-202022-04-072022-10-212022-12-152023-04-25
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1093/cercor/bhac453
PMID: 36520483
PMC: PMC10152104
 Art des Abschluß: -

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Projektname : -
Grant ID : 616905
Förderprogramm : European Union’s Seventh Framework Programme
Förderorganisation : European Research Council (ERC)
Projektname : -
Grant ID : 681094
Förderprogramm : Horizon 2020
Förderorganisation : European Research Council (ERC)

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Titel: Cerebral Cortex
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: New York, NY : Oxford University Press
Seiten: - Band / Heft: 33 (9) Artikelnummer: - Start- / Endseite: 5704 - 5716 Identifikator: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440