Evaluation of brain ageing: a quantitative longitudinal MRI study over 7 years

Gracien, René‐Maxime; Nürnberger, Lucas; Hok, Pavel; Hof, Stephanie‐Michelle; Reitz, Sandra; Rüb, Udo; Steinmetz, Helmuth; Hilker-Roggendorf, Rüdiger; Klein, Johannes; Deichmann, Ralf; Baudrexel, Simon

doi:10.1007/s00330-016-4485-1

Cited by 33 publications

(35 citation statements)

References 48 publications

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“…degree of myelination) (Fatouros et al, 1991, Gelman et al, 2001, Lutti et al, 2014, Rooney et al, 2007). With respect to physiological (healthy) aging in the senescence life period, a significant decrease of cortical T1 in temporal, parietal and lateral-frontal areas has been described in a recent MRI study performed by our group (Gracien et al, 2016). The T1 decrease was attributed to an age driven increase in cortical iron levels (Daugherty and Raz, 2015, Hallgren and Sourander, 1958) and to an decrease in free water content, as has been demonstrated with proton density mapping in a previous in vivo imaging study (Neeb et al, 2006).…”

Section: Discussionmentioning

confidence: 71%

“…To compare physiological with PD related cortical T1 changes, we employed an established qMRI technique for quantitative T1 mapping (Preibisch and Deichmann, 2009) together with an advanced surface-based analysis of cortical GM to investigate cortical T1 changes in PD and their relation to cortical atrophy in a longitudinal study across six and a half years. According to the previous imaging (Gracien et al, 2016, Vymazal et al, 1999) and histopathological evidence (Dexter et al, 1990), we expected a more prominent T1 decrease in PD patients.…”

Section: Introductionmentioning

confidence: 65%

“…Participants largely overlapped with those of two previous studies of our group (Baudrexel et al, 2010, Gracien et al, 2016). However, these studies had different goals and did not report longitudinal T1 changes in PD.…”

Section: Methodsmentioning

confidence: 91%

“…For all surface-based statistical tests, a vertex threshold of p = 0.05 was applied. Since we expected a decrease of cortical T1 and cortical thickness (Gracien et al, 2016, Mak et al, 2015, Vymazal et al, 1999), the respective one-sided tests were used. Corrections for multiple comparisons were carried out at cluster level using Monte Carlo simulations, maintaining only clusters with corrected p values p ≤ 0.01.…”

Section: Methodsmentioning

confidence: 99%

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Longitudinal changes of cortical microstructure in Parkinson's disease assessed with T1 relaxometry

Nürnberger

Gracien

Hok

et al. 2017

NeuroImage: Clinical

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BackgroundHistological evidence suggests that pathology in Parkinson's disease (PD) goes beyond nigrostriatal degeneration and also affects the cerebral cortex. Quantitative MRI (qMRI) techniques allow the assessment of changes in brain tissue composition. However, the development and pattern of disease-related cortical changes have not yet been demonstrated in PD with qMRI methods. The aim of this study was to investigate longitudinal cortical microstructural changes in PD with quantitative T1 relaxometry.Methods13 patients with mild to moderate PD and 20 matched healthy subjects underwent high resolution T1 mapping at two time points with an interval of 6.4 years (healthy subjects: 6.5 years). Data from two healthy subjects had to be excluded due to MRI artifacts. Surface-based analysis of cortical T1 values was performed with the FreeSurfer toolbox.ResultsIn PD patients, a widespread decrease of cortical T1 was detected during follow-up which affected large parts of the temporo-parietal and occipital cortices and also frontal areas. In contrast, age-related T1 decrease in the healthy control group was much less pronounced and only found in lateral frontal, parietal and temporal areas. Average cortical T1 values did not differ between the groups at baseline (p = 0.17), but were reduced in patients at follow-up (p = 0.0004). Annualized relative changes of cortical T1 were higher in patients vs. healthy subjects (patients: − 0.72 ± 0.64%/year; healthy subjects: − 0.17 ± 0.41%/year, p = 0.007).ConclusionsIn patients with PD, the development of widespread changes in cortical microstructure was observed as reflected by a reduction of cortical T1. The pattern of T1 decrease in PD patients exceeded the normal T1 decrease as found in physiological aging and showed considerable overlap with the pattern of cortical thinning demonstrated in previous PD studies. Therefore, cortical T1 might be a promising additional imaging marker for future longitudinal PD studies. The biological mechanisms underlying cortical T1 reductions remain to be further elucidated.

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Section: Discussionmentioning

confidence: 71%

Section: Introductionmentioning

confidence: 65%

Section: Methodsmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 99%

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Longitudinal changes of cortical microstructure in Parkinson's disease assessed with T1 relaxometry

Nürnberger

Gracien

Hok

et al. 2017

NeuroImage: Clinical

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“…A 7-year follow-up of 17 subjects in a previous study detected longitudinal changes in T 1 relaxation time in deep GM, while cortical GM T 1 values showed significant decreases. 52 However, in the future a longitudinal study with a larger number of subjects may reveal significant correlations between age and T 1 values in deep GM.…”

Section: This Studymentioning

confidence: 97%

Relationship between aging and T₁ relaxation time in deep gray matter: A voxel‐based analysis

Okubo

Okada

Yamamoto

et al. 2017

Magnetic Resonance Imaging

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Relaxation time of brain tissue in the elderly assessed by synthetic MRI

et al. 2021

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Background Synthetic MRI (SyMRI) is a quantitative technique that allows measurements of T1 and T2 relaxation times (RTs). Brain RT evolution across lifespan is well described for the younger population. The aim was to study RTs of brain parenchyma in a healthy geriatric population in order to define the normal value of structures in this group population. Normal values for geriatric population could help find biomarker for age‐related brain disease. Materials and methods Fifty‐four normal‐functioning individuals (22 females, 32 males) with mean age of 83 years (range 56–98) underwent SyMRI. RT values in manually defined ROIs (centrum semiovale, middle cerebellar peduncles, thalamus, and insular cortex) and in segmented whole‐brain components (brain parenchyma, gray matter, white matter, myelin, CSF, and stromal structures) were extracted from the SyMRI segmentation software. Patients' results were combined into the group age. Main ROI‐based and whole‐brain results were compared for the all dataset and for age group results as well. Results For white matter, RTs between ROI‐based analyses and whole‐brain results for T2 and for T1 were statistically different and a trend of increasing T1 in centrum semiovale and cerebellar peduncle was observed. For gray matter, thalamic T1 was statistically different from insular T1. A difference was also found between left and right insula (p < .0001). T1 RTs of ROI‐based and whole‐brain‐based analyses were statistically different (p < .0001). No significant difference in T1 and T2 was found between age groups on ROI‐based analysis, but T1 in centrum semiovale and thalamus increased with age. No statistical difference between age groups was found for the various segmented volumes except for myelin between 65–74 years of age and the 95–105 years of age groups (p = .038). Conclusions SyMRI is a new tool that allows faster imaging and permits to obtain quantitative T1 and T2. By defining RT values of different brain components of normal‐functioning elderly individuals, this technique may be used as a biomarker for clinical disorders like dementia.

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Evaluation of brain ageing: a quantitative longitudinal MRI study over 7 years

Cited by 33 publications

References 48 publications

Longitudinal changes of cortical microstructure in Parkinson's disease assessed with T1 relaxometry

Longitudinal changes of cortical microstructure in Parkinson's disease assessed with T1 relaxometry

Relationship between aging and T₁ relaxation time in deep gray matter: A voxel‐based analysis

Relaxation time of brain tissue in the elderly assessed by synthetic MRI

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Evaluation of brain ageing: a quantitative longitudinal MRI study over 7 years

Cited by 33 publications

References 48 publications

Longitudinal changes of cortical microstructure in Parkinson's disease assessed with T1 relaxometry

Longitudinal changes of cortical microstructure in Parkinson's disease assessed with T1 relaxometry

Relationship between aging and T1 relaxation time in deep gray matter: A voxel‐based analysis

Relaxation time of brain tissue in the elderly assessed by synthetic MRI

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Product

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Relationship between aging and T₁ relaxation time in deep gray matter: A voxel‐based analysis