Age-related differences in macromolecular resonances observed in ultra-short-TE STEAM MR spectra at 7T
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
P41 EB027061
NIBIB NIH HHS - United States
P41 EB027061
NIH HHS - United States
P30 NS076408
NIH HHS - United States
R01 AG055591
NIA NIH HHS - United States
U19 AG073585
NIA NIH HHS - United States
R01 AG039396
NIA NIH HHS - United States
P30 NS076408
NINDS NIH HHS - United States
U19AG073585
NIH HHS - United States
R01AG039396
NIH HHS - United States
R01AG055591
NIH HHS - United States
PubMed
38441257
PubMed Central
PMC11055657
DOI
10.1002/mrm.30061
Knihovny.cz E-zdroje
- Klíčová slova
- LCModel, MRS, aging, macromolecules, ultra‐high field,
- MeSH
- cingulární gyrus diagnostické zobrazování chemie MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- magnetická rezonanční spektroskopie metody MeSH
- magnetická rezonanční tomografie metody MeSH
- makromolekulární látky * chemie MeSH
- mladý dospělý MeSH
- mozek diagnostické zobrazování metabolismus MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- stárnutí * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Názvy látek
- makromolekulární látky * MeSH
PURPOSE: To understand how macromolecular content varies in the human brain with age in a large cohort of healthy subjects. METHODS: In-vivo 1H-MR spectra were acquired using ultra-short TE STEAM at 7T in the posterior cingulate cortex. Macromolecular content was studied in 147 datasets from a cohort ranging in age from 19 to 89 y. Three fitting approaches were used to evaluate the macromolecular content: (1) a macromolecular resonances model developed for this study; (2) LCModel-simulated macromolecules; and (3) a combination of measured and LCModel-simulated macromolecules. The effect of age on the macromolecular content was investigated by considering age both as a continuous variable (i.e., linear regressions) and as a categorical variable (i.e., multiple comparisons among sub-groups obtained by stratifying data according to age by decade). RESULTS: While weak age-related effects were observed for macromolecular peaks at ˜0.9 (MM09), ˜1.2 (MM12), and ˜1.4 (MM14) ppm, moderate to strong effects were observed for peaks at ˜1.7 (MM17), and ˜2.0 (MM20) ppm. Significantly higher MM17 and MM20 content started from 30 to 40 y of age, while for MM09, MM12, and MM14, significantly higher content started from 60 to 70 y of age. CONCLUSIONS: Our findings provide insights into age-related differences in macromolecular contents and strengthen the necessity of using age-matched measured macromolecules during quantification.
Department of Neurology University of Minnesota Minneapolis Minnesota USA
Department of Psychiatry University of Minnesota Minneapolis Minnesota USA
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