ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2022
Monte Carlo study of metabolite correlations originating from spectral overlap.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- A data-driven algorithm to determineMagnetic resonance in medicine · 2026Article
- In vivo GABA detection by single-pulse editing with one shot.Magnetic resonance in medicine · 2025Article
- Metabolic coupling between glutamate and N-acetylaspartate in the human brain.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Quantification of spatially localized MRS by a novel deep learning approach without spectral fitting.Magnetic resonance in medicine · 2023Article
- In vivo magnetic resonance spectroscopy by transverse relaxation encoding with narrowband decoupling.Scientific reports · 2023Article
- Neurochemical correlations in short echo time proton magnetic resonance spectroscopy.NMR in biomedicine · 2023Article
- Article
- Magnetic Field Dependence of Spectral Correlations betweenMetabolites · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Monte Carlo simulations and a mathematical model of spectral fitting were used to study the correlations between metabolites with overlapping resonances. The dependence of the polarity and the magnitude of cross-correlation coefficients between overlapping metabolites on the spectral patterns of MRS signals was investigated. The results demonstrate the importance of quantifying metabolite correlations originating from spectral overlap as they may confound determination of correlations of biological origin. The findings also indicate that it is possible to minimize unwanted metabolite correlations by altering spectral patterns in the presence of significant spectral overlap.
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Registered trials
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