| 1. |
- 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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| 2. |
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| 3. |
- Albrecht, F., et al.
(author)
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Unraveling Parkinson's disease heterogeneity using subtypes based on multimodal data
- 2022
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In: Parkinsonism and Related Disorders. - : Elsevier BV. - 1353-8020 .- 1873-5126. ; 102, s. 19-29
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Journal article (peer-reviewed)abstract
- Background: Parkinson's disease (PD) is a clinically and neuroanatomically heterogeneous neurodegenerative disease characterized by different subtypes. To this date, no studies have used multimodal data that combines clinical, motor, cognitive and neuroimaging assessments to identify these subtypes, which may provide complementary, clinically relevant information. To address this limitation, we subtyped participants with mild-moderate PD based on a rich, multimodal dataset of clinical, cognitive, motor, and neuroimaging variables. Methods: Cross-sectional data from 95 PD participants from our randomized EXPANd (EXercise in PArkinson's disease and Neuroplasticity) controlled trial were included. Participants were subtyped using clinical, motor, and cognitive assessments as well as structural and resting-state MRI data. Subtyping was done by random forest clustering. We extracted information about the subtypes by inspecting their neuroimaging profiles and descriptive statistics. Results: Our multimodal subtyping analysis yielded three PD subtypes: a motor-cognitive subtype characterized by widespread alterations in brain structure and function as well as impairment in motor and cognitive abilities; a cognitive dominant subtype mainly impaired in cognitive function that showed frontoparietal structural and functional changes; and a motor dominant subtype impaired in motor variables without any brain alterations. Motor variables were most important for the subtyping, followed by gray matter volume in the right medial postcentral gyrus. Conclusions: Three distinct PD subtypes were identified in our multimodal dataset. The most important features to subtype PD participants were motor variables in addition to structural MRI in the sensorimotor region. These findings have the potential to improve our understanding of PD heterogeneity, which in turn can lead to personalized interventions and rehabilitation.
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| 4. |
- Garcia-Cabello, E., et al.
(author)
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The Cognitive Connectome in Healthy Aging
- 2021
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In: Frontiers in Aging Neuroscience. - : Frontiers Media SA. - 1663-4365. ; 13
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Journal article (peer-reviewed)abstract
- Objectives: Cognitive aging has been extensively investigated using both univariate and multivariate analyses. Sophisticated multivariate approaches such as graph theory could potentially capture unknown complex associations between multiple cognitive variables. The aim of this study was to assess whether cognition is organized into a structure that could be called the "cognitive connectome," and whether such connectome differs between age groups. Methods: A total of 334 cognitively unimpaired individuals were stratified into early-middle-age (37-50 years, n = 110), late-middle-age (51-64 years, n = 106), and elderly (65-78 years, n = 118) groups. We built cognitive networks from 47 cognitive variables for each age group using graph theory and compared the groups using different global and nodal graph measures. Results: We identified a cognitive connectome characterized by five modules: verbal memory, visual memory-visuospatial abilities, procedural memory, executive-premotor functions, and processing speed. The elderly group showed reduced transitivity and average strength as well as increased global efficiency compared with the early-middle-age group. The late-middle-age group showed reduced global and local efficiency and modularity compared with the early-middle-age group. Nodal analyses showed the important role of executive functions and processing speed in explaining the differences between age groups. Conclusions: We identified a cognitive connectome that is rather stable during aging in cognitively healthy individuals, with the observed differences highlighting the important role of executive functions and processing speed. We translated the connectome concept from the neuroimaging field to cognitive data, demonstrating its potential to advance our understanding of the complexity of cognitive aging.
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| 5. |
- Göçeroǧlu, Arda, et al.
(author)
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ANCA-associated glomerulonephritis : Risk factors for renal relapse
- 2016
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In: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 11:12
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Journal article (peer-reviewed)abstract
- Relapse in ANCA-associated vasculitis (AAV) has been studied previously, but there are few studies on renal relapse in particular. Identifying patients at high risk of renal relapse may aid in optimizing clinical management. We investigated which clinical and histological parameters are risk factors for renal relapse in ANCA-associated glomerulonephritis (AAGN). Patients (n = 174) were newly diagnosed and had mild±moderate or severe renal involvement. Data were derived from two trials of the European Vasculitis Society: MEPEX and CYCAZAREM. The Cox regression model was used to identify parameters increasing the instantaneous risk (= rate) of renal relapse (useful for instant clinical decisions). For identifying predictors of renal relapse during follow-up, we used Fine & Gray's regression model. Competing events were end-stage renal failure and death. The cumulative incidence of renal relapse at 5 years was 9.5% (95% CI: 4.8±14.3%). In the Cox model, sclerotic class AAGN increased the instantaneous risk of renal relapse. In Fine & Gray's model, the absence of interstitial infiltrates at diagnosis was predictive for renal relapse. In this study we used two different models to identify possible relationships between clinical and histopathological parameters at time of diagnosis of AAV with the risk of experiencing renal relapse. Sclerotic class AAGN increased the instantaneous risk of renal relapse. This association is most likely due to the high proportion of sclerosed glomeruli reducing the compensatory capacity. The absence of interstitial infiltrates increased the risk of renal relapse which is a warning sign that patients with a relatively benign onset of disease may also be prone to renal relapse. Renal relapses occurring in patients with sclerotic class AAGN and renal relapses occurring in patients without interstitial infiltrates were mutually exclusive, which may indicate that they are essentially different.
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| 6. |
- Samuelsson, Jessica, et al.
(author)
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Associations between dietary patterns and dementia-related neuroimaging markers
- 2023
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In: Alzheimers & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 19:10, s. 4629-4640
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Journal article (peer-reviewed)abstract
- BACKGROUNDThe exploration of associations between dietary patterns and dementia-related neuroimaging markers can provide insights on food combinations that may impact brain integrity. METHODSData were derived from the Swedish Gothenburg H70 Birth Cohort Study (n = 610). Three dietary patterns were obtained using principal component analysis. Magnetic resonance imaging markers included cortical thickness, an Alzheimer's disease (AD) signature score, small vessel disease, and white matter microstructural integrity. Adjusted linear/ordinal regression analyses were performed. RESULTSA high-protein and alcohol dietary pattern was negatively associated with cortical thickness in the whole brain (Beta: -0.011; 95% confidence interval [CI]: -0.018 to -0.003), and with an Alzheimer's disease cortical thickness signature score (Beta: -0.013; 95% CI: -0.024 to -0.001). A positive association was found between a Mediterranean-like dietary pattern and white matter microstructural integrity (Beta: 0.078; 95% CI: 0.002-0.154). No associations were found with a Western-like dietary pattern. DISCUSSIONDietary patterns may impact brain integrity through neurodegenerative and vascular pathways. HighlightsCertain dietary patterns were associated with dementia-related neuroimaging markers.A Mediterranean dietary pattern was positively associated with white matter microstructure.A high-protein and alcohol pattern was negatively associated with cortical thickness.
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| 7. |
- Wester Trejo, Maria A.C., et al.
(author)
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Renal relapse in antineutrophil cytoplasmic autoantibody-associated vasculitis : unpredictable, but predictive of renal outcome
- 2019
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In: Rheumatology (Oxford, England). - : Oxford University Press (OUP). - 1462-0332 .- 1462-0324. ; 58:1, s. 103-109
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Journal article (peer-reviewed)abstract
- Objectives: To determine predictors of renal relapse and end-stage renal failure (ESRF) in patients with ANCA-associated vasculitis. Methods: Data from four European Vasculitis Society randomized controlled trials, conducted roughly simultaneously between 15 March 1995 and 30 September 2002, was pooled to determine predictors of long-term renal outcome. The respective trial inclusion criteria covered the entire spectrum of disease severity. Baseline predictors of time to first renal relapse and time to ESRF were assessed by competing events analysis and Cox proportional hazards regression. The effect of renal relapse on time to ESRF was assessed by adding renal relapses to the competing events analysis as a time-varying covariate. Results: The number of patients participating was 535; mean serum creatinine (±s.d.) at entry was 341 ± 321 µmol/l and 19.7% developed ESRF. One or more renal relapse(s) was experienced by 101 patients. Multivariable regression analysis demonstrated that, in addition to impaired baseline renal function, developing ⩾1 renal relapse was an independent risk factor for ESRF (subhazard ratio 9; 95% CI 4, 19; P < 0.001). No predictive factors for renal relapse were found. Conclusion: In addition to baseline renal function, the occurrence of renal relapses is an important determinant of ESRF in patients with ANCA-associated vasculitis. We did not find any clinical predictors for renal relapse itself, including disease activity elsewhere. In light of the silent nature of renal relapse in ANCA-associated vasculitis, we stress the need for long-term vigilant monitoring for early signs of renal relapse and propose performing 3-monthly urinalysis. This will enable timely treatment and help further improve renal outcome.
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| 8. |
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| 9. |
- Westman, K W, et al.
(author)
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Prevalence of autoantibodies associated with glomerulonephritis, unaffected after extracorporeal shock wave lithotripsy for renal calculi, in a three-year follow-up
- 1997
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In: Scandinavian Journal of Urology and Nephrology. - : Informa UK Limited. - 0036-5599 .- 1651-2065. ; 31:5, s. 7-463
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Journal article (peer-reviewed)abstract
- Extracorporeal shock wave lithotripsy (ESWL) has become a useful tool in the treatment of renal calculi, but side effects may occur. Hitherto, two case reports have been published of an anti-glomerular basement membrane disease resulting in end-stage renal failure following ESWL treatment. In this prospective study of 59 consecutive patients undergoing ESWL for renal calculi, the prevalence of autoantibodies associated with glomerulonephritis was investigated before ESWL and at 3-year follow-up. The prevalences of antinuclear, anti-glomerular basement membrane, anti-neutrophil cytoplasmic and thyroid antibodies were found to be within the respective normal ranges prior to the first ESWL treatment and to be unaffected at follow-up.
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| 10. |
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