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- Bethlehem, RAI, et al.
(author)
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Brain charts for the human lifespan
- 2022
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In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 604:7906, s. 525-
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Journal article (peer-reviewed)abstract
- Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data (http://www.brainchart.io/). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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| 5. |
- Salvado, G., et al.
(author)
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The protective gene dose effect of the APOE epsilon 2 allele on gray matter volume in cognitively unimpaired individuals
- 2022
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In: Alzheimers & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 18:7, s. 1383-1395
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Journal article (peer-reviewed)abstract
- Introduction: Harboring two copies of the apolipoprotein E (APOE) epsilon 2 allele strongly protects against Alzheimer's disease (AD). However, the effect of this genotype on gray matter (GM) volume in cognitively unimpaired individuals has not yet been described. Methods: Multicenter brain magnetic resonance images (MRIs) from cognitively unimpaired epsilon 2 homozygotes were matched (1:1) against all other APOE genotypes for relevant confounders (n = 223). GM volumes of epsilon 2 genotypic groups were compared to each other and to the reference group (APOE epsilon 3/epsilon 3). Results: Carrying at least one epsilon 2 allele was associated with larger GM volumes in brain areas typically affected by AD and also in areas associated with cognitive resilience. APOE epsilon 2 homozygotes, but not APOE epsilon 2 heterozygotes, showed larger GM volumes in areas related to successful aging. Discussion: In addition to the known resistance against amyloid-beta deposition, the larger GM volumes in key brain regions may confer APOE epsilon 2 homozygotes additional protection against AD-related cognitive decline.
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| 7. |
- Voevodskaya, O., et al.
(author)
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Brain myoinositol as a potential marker of amyloid-related pathology: A longitudinal study
- 2019
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In: Neurology. - : Ovid Technologies (Wolters Kluwer Health). - 0028-3878 .- 1526-632X. ; 92:5
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Journal article (peer-reviewed)abstract
- ObjectiveTo investigate the association between longitudinal changes in proton magnetic resonance spectroscopy (MRS) metabolites and amyloid pathology in individuals without dementia, and to explore the relationship between MRS and cognitive decline.MethodsIn this longitudinal multiple time point study (a subset of the Swedish BioFINDER), we included cognitively healthy participants, individuals with subjective cognitive decline, and individuals with mild cognitive impairment. MRS was acquired serially in 294 participants (670 individual spectra) from the posterior cingulate/precuneus. Using mixed-effects models, we assessed the association between MRS and baseline -amyloid (A), and between MRS and the longitudinal Mini-Mental State Examination, accounting for APOE, age, and sex.ResultsWhile baseline MRS metabolites were similar in A positive (A+) and negative (A-) individuals, in the A+ group, the estimated rate of change was +1.9%/y for myo-inositol (mI)/creatine (Cr) and -2.0%/y for N-acetylaspartate (NAA)/mI. In the A- group, mI/Cr and NAA/mI yearly change was -0.05% and +1.2%; however, this was not significant across time points. The mild cognitive impairment A+ group showed the steepest MRS changes, with an estimated rate of +2.93%/y (p = 0.07) for mI/Cr and -3.55%/y (p < 0.01) for NAA/mI. Furthermore, in the entire cohort, we found that A+ individuals with low baseline NAA/mI had a significantly higher rate of cognitive decline than A+ individuals with high baseline NAA/mI.ConclusionWe demonstrate that the longitudinal change in mI/Cr and NAA/mI is associated with underlying amyloid pathology. MRS may be a useful noninvasive marker of A-related processes over time. In addition, we show that in A+ individuals, baseline NAA/mI may predict the rate of future cognitive decline.
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| 9. |
- Pereira, JB, et al.
(author)
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Cortical thinning in patients with REM sleep behavior disorder is associated with clinical progression
- 2019
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In: NPJ Parkinson's disease. - : Springer Science and Business Media LLC. - 2373-8057. ; 5, s. 7-
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Journal article (peer-reviewed)abstract
- The aim of this study is to determine whether structural MRI measures are associated with clinical impairment and progression to a Lewy body disease in patients with idiopathic REM sleep behavior disorder (iRBD). Twenty-seven patients with iRBD in addition to patients with de novo PD and healthy controls were included from the Parkinson’s Progression Markers Initiative. Patients with iRBD were followed for up to 3 years. Clinical and MRI measures were compared across groups and the association between clinical features and structural MRI was assessed in iRBD patients. Cox regression analyses were applied to identify risk factors for progressing to a Lewy body disease in iRBD. Our results showed that, at baseline, iRBD patients showed parietal and occipital cortical thinning, compared to controls. They also showed worse motor and non-motor abilities, some of which correlated with motor, frontal or temporal cortical thinning. At follow-up, six (22%) iRBD patients were diagnosed with a Lewy body disorder. These patients showed cortical thinning in frontal, occipital and parietal areas compared to iRBD non-converters. Cortical thinning was a significant predictor for future development of a Lewy body disorder (HR: 0.784; 95% CI: 0.640–0.960; p = 0.02). We conclude that cortical thinning is associated with worse motor and non-motor abilities, and predicts conversion to a Lewy body disorder in iRBD, suggesting it could be used to select candidates for clinical trials to delay the onset of neurodegenerative disease.
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