Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS)
Aging is associated with alterations in the brain including structural and metabolic changes. Previous research has focused on neurometabolite level differences associated to age in a variety of brain regions, but the relationship among metabolites across the brain has been much less studied. Invest...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S105381192200951X |
| _version_ | 1797961243044085760 |
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| author | Geraldine Rodríguez-Nieto Oron Levin Lize Hermans Akila Weerasekera Anca Croitor Sava Astrid Haghebaert Astrid Huybrechts Koen Cuypers Dante Mantini Uwe Himmelreich Stephan P. Swinnen |
| author_facet | Geraldine Rodríguez-Nieto Oron Levin Lize Hermans Akila Weerasekera Anca Croitor Sava Astrid Haghebaert Astrid Huybrechts Koen Cuypers Dante Mantini Uwe Himmelreich Stephan P. Swinnen |
| author_sort | Geraldine Rodríguez-Nieto |
| collection | DOAJ |
| description | Aging is associated with alterations in the brain including structural and metabolic changes. Previous research has focused on neurometabolite level differences associated to age in a variety of brain regions, but the relationship among metabolites across the brain has been much less studied. Investigating these relationships can reveal underlying neurometabolic processes, their interdependency, and their progress throughout the lifespan. Using 1H-MRS, we investigated the relationship among metabolite concentrations of N-acetylaspartate (NAA), creatine (Cr), choline (Cho), myo-Inositol (mIns) and glutamate-glutamine complex (Glx) in seven voxel locations, i.e., bilateral sensorimotor cortex, bilateral striatum, pre-supplementary motor area, right inferior frontal gyrus and occipital cortex. These measurements were performed on 59 human participants divided in two age groups: young adults (YA: 23.2 ± 4.3; 18–34 years) and older adults (OA: 67.5 ± 3.9; 61–74 years). Our results showed age-related differences in NAA, Cho, and mIns across brain regions, suggesting the presence of neurodegeneration and altered gliosis. Moreover, associative patterns among NAA, Cho and Cr were observed across the selected brain regions, which differed between young and older adults. Whereas most of metabolite concentrations were inhomogeneous across different brain regions, Cho levels were shown to be strongly related across brain regions in both age groups. Finally, we found metabolic associations between homologous brain regions (SM1 and striatum) in the OA group, with NAA showing a significant correlation between bilateral sensorimotor cortices (SM1) and mIns levels being correlated between the bilateral striata. We posit that a network perspective provides important insights regarding the potential interactions among neurochemicals underlying metabolic processes at a local and global level and their relationship with aging. |
| first_indexed | 2024-04-11T00:57:03Z |
| format | Article |
| id | doaj.art-dfd9d7a2645d42d0955d2a2f78eac5d8 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-11T00:57:03Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-dfd9d7a2645d42d0955d2a2f78eac5d82023-01-05T04:31:27ZengElsevierNeuroImage1095-95722023-02-01266119830Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS)Geraldine Rodríguez-Nieto0Oron Levin1Lize Hermans2Akila Weerasekera3Anca Croitor Sava4Astrid Haghebaert5Astrid Huybrechts6Koen Cuypers7Dante Mantini8Uwe Himmelreich9Stephan P. Swinnen10Movement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, Belgium; Corresponding author.Movement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, BelgiumMovement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, BelgiumMovement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, Belgium; Biomedical MRI Unit, Group Biomedical Sciences, KU Leuven, Belgium; Department of Radiology, Harvard Medical School, Boston, MA, USABiomedical MRI Unit, Group Biomedical Sciences, KU Leuven, BelgiumMovement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, BelgiumMovement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, BelgiumMovement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, Belgium; REVAL Research Institute, Hasselt University, Diepenbeek, Belgium; Leuven Brain Institute, KU Leuven-LBI, Leuven, BelgiumMovement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, Belgium; Leuven Brain Institute, KU Leuven-LBI, Leuven, BelgiumBiomedical MRI Unit, Group Biomedical Sciences, KU Leuven, BelgiumMovement Control and Neuroplasticity Research Group, Biomedical Sciences, KU Leuven, Tervuurse Vest 101, Leuven 3001, Belgium; Leuven Brain Institute, KU Leuven-LBI, Leuven, BelgiumAging is associated with alterations in the brain including structural and metabolic changes. Previous research has focused on neurometabolite level differences associated to age in a variety of brain regions, but the relationship among metabolites across the brain has been much less studied. Investigating these relationships can reveal underlying neurometabolic processes, their interdependency, and their progress throughout the lifespan. Using 1H-MRS, we investigated the relationship among metabolite concentrations of N-acetylaspartate (NAA), creatine (Cr), choline (Cho), myo-Inositol (mIns) and glutamate-glutamine complex (Glx) in seven voxel locations, i.e., bilateral sensorimotor cortex, bilateral striatum, pre-supplementary motor area, right inferior frontal gyrus and occipital cortex. These measurements were performed on 59 human participants divided in two age groups: young adults (YA: 23.2 ± 4.3; 18–34 years) and older adults (OA: 67.5 ± 3.9; 61–74 years). Our results showed age-related differences in NAA, Cho, and mIns across brain regions, suggesting the presence of neurodegeneration and altered gliosis. Moreover, associative patterns among NAA, Cho and Cr were observed across the selected brain regions, which differed between young and older adults. Whereas most of metabolite concentrations were inhomogeneous across different brain regions, Cho levels were shown to be strongly related across brain regions in both age groups. Finally, we found metabolic associations between homologous brain regions (SM1 and striatum) in the OA group, with NAA showing a significant correlation between bilateral sensorimotor cortices (SM1) and mIns levels being correlated between the bilateral striata. We posit that a network perspective provides important insights regarding the potential interactions among neurochemicals underlying metabolic processes at a local and global level and their relationship with aging.http://www.sciencedirect.com/science/article/pii/S105381192200951XAgingMagnetic resonance spectroscopyGraph theoryMetabolitesNetworksCholine |
| spellingShingle | Geraldine Rodríguez-Nieto Oron Levin Lize Hermans Akila Weerasekera Anca Croitor Sava Astrid Haghebaert Astrid Huybrechts Koen Cuypers Dante Mantini Uwe Himmelreich Stephan P. Swinnen Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS) NeuroImage Aging Magnetic resonance spectroscopy Graph theory Metabolites Networks Choline |
| title | Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS) |
| title_full | Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS) |
| title_fullStr | Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS) |
| title_full_unstemmed | Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS) |
| title_short | Organization of neurochemical interactions in young and older brains as revealed with a network approach: Evidence from proton magnetic resonance spectroscopy (1H-MRS) |
| title_sort | organization of neurochemical interactions in young and older brains as revealed with a network approach evidence from proton magnetic resonance spectroscopy 1h mrs |
| topic | Aging Magnetic resonance spectroscopy Graph theory Metabolites Networks Choline |
| url | http://www.sciencedirect.com/science/article/pii/S105381192200951X |
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