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Contribution of macromolecules to brain 1 H MR spectra: Experts' consensus recommendations
C. Cudalbu, KL. Behar, PK. Bhattacharyya, W. Bogner, T. Borbath, RA. de Graaf, R. Gruetter, A. Henning, C. Juchem, R. Kreis, P. Lee, H. Lei, M. Marjańska, R. Mekle, S. Murali-Manohar, M. Považan, V. Rackayová, D. Simicic, J. Slotboom, BJ. Soher,...
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
P30 NS076408
NINDS NIH HHS - United States
P41 EB015909
NIBIB NIH HHS - United States
R01 MH109159
NIMH NIH HHS - United States
P 30701
Austrian Science Fund FWF - Austria
P41 EB027061
NIBIB NIH HHS - United States
PubMed
33236818
DOI
10.1002/nbm.4393
Knihovny.cz E-zdroje
- MeSH
- dospělí MeSH
- konsensus * MeSH
- lidé středního věku MeSH
- lidé MeSH
- lipidy chemie MeSH
- magnetická rezonanční tomografie MeSH
- makromolekulární látky metabolismus MeSH
- metabolom MeSH
- mladý dospělý MeSH
- mozek diagnostické zobrazování MeSH
- počítačové zpracování signálu MeSH
- protonová magnetická rezonanční spektroskopie * MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- teoretické modely MeSH
- znalecký posudek * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
Proton MR spectra of the brain, especially those measured at short and intermediate echo times, contain signals from mobile macromolecules (MM). A description of the main MM is provided in this consensus paper. These broad peaks of MM underlie the narrower peaks of metabolites and often complicate their quantification but they also may have potential importance as biomarkers in specific diseases. Thus, separation of broad MM signals from low molecular weight metabolites enables accurate determination of metabolite concentrations and is of primary interest in many studies. Other studies attempt to understand the origin of the MM spectrum, to decompose it into individual spectral regions or peaks and to use the components of the MM spectrum as markers of various physiological or pathological conditions in biomedical research or clinical practice. The aim of this consensus paper is to provide an overview and some recommendations on how to handle the MM signals in different types of studies together with a list of open issues in the field, which are all summarized at the end of the paper.
Center for Biomedical Imaging Ecole Polytechnique Fédérale de Lausanne Lausanne Vaud Switzerland
Center for Stroke Research Berlin Charité Universitätsmedizin Berlin Berlin Germany
Centre for Human Brain Health and School of Psychology University of Birmingham Birmingham UK
Christian Doppler Laboratory for Clinical Molecular MR Imaging Vienna Austria
Cleveland Clinic Foundation Imaging Institute Cleveland Ohio USA
Czech Academy of Sciences Institute of Scientific Instruments Brno Czech Republic
Department of Radiology and Biomedical Imaging Yale University New Haven Connecticut USA
Departments of Biomedical Engineering and Radiology Columbia University New York USA
Departments of Radiology and Biomedical Research University of Bern Bern Switzerland
Faculty of Science Eberhard Karls Universität Tübingen Tübingen Germany
High Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tübingen Germany
IMPRS for Cognitive and Systems Neuroscience Eberhard Karls Universität Tübingen Tübingen Germany
Citace poskytuje Crossref.org
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