Predicting performance in attention by measuring key metabolites in the PCC with 7T MRS

Autor: M. Collée, R. Rajkumar, E. Farrher, J. Hagen, S. Ramkiran, G. J. Schnellbächer, N. Khudeish, N. J. Shah, T. Veselinović, I. Neuner
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Druh dokumentu: article
ISSN: 2045-2322
DOI: 10.1038/s41598-024-67866-1
Popis: Abstract The posterior cingulate cortex (PCC) is a key hub of the default mode network and is known to play an important role in attention. Using ultra-high field 7 Tesla magnetic resonance spectroscopy (MRS) to quantify neurometabolite concentrations, this exploratory study investigated the effect of the concentrations of myo-inositol (Myo-Ins), glutamate (Glu), glutamine (Gln), aspartate or aspartic acid (Asp) and gamma-amino-butyric acid (GABA) in the PCC on attention in forty-six healthy participants. Each participant underwent an MRS scan and cognitive testing, consisting of a trail-making test (TMT A/B) and a test of attentional performance. After a multiple regression analysis and bootstrapping for correction, the findings show that Myo-Ins and Asp significantly influence (p 0.05) influence of Glu, Gln and GABA was observed.
Databáze: Directory of Open Access Journals
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