• Medientyp: E-Artikel
  • Titel: Magnetic Field Dependence of Spectral Correlations between 31P-Containing Metabolites in Brain
  • Beteiligte: Hong, Sungtak; Shen, Jun
  • Erschienen: MDPI AG, 2023
  • Erschienen in: Metabolites, 13 (2023) 2, Seite 211
  • Sprache: Englisch
  • DOI: 10.3390/metabo13020211
  • ISSN: 2218-1989
  • Schlagwörter: Molecular Biology ; Biochemistry ; Endocrinology, Diabetes and Metabolism
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  • Beschreibung: Spectral correlations between metabolites in 31P magnetic resonance spectroscopy (MRS) spectra of human brain were compared at 3 and 7 Tesla, the two commonly used magnetic field strengths for clinical research. It was found that at both field strengths, there are significant correlations between 31P-containing metabolites arising from spectral overlap, and their downfield correlations are markedly altered by the background spectral baseline. Overall, the spectral correlations between 31P-containing metabolites are markedly reduced at 7 Tesla with the increased chemical shift dispersion and the decreased membrane phospholipid signal. The findings provide the quantitative landscape of pre-existing correlations in 31P MRS spectra due to overlapping signals. Detailed procedures for quantifying the pre-existing correlations between 31P-containing metabolites are presented to facilitate incorporation of spectral correlations into statistical modeling in clinical correlation studies.
  • Zugangsstatus: Freier Zugang