Towards harmonizing subtyping methods for neuroimaging studies in Alzheimer's disease
Mohanty, R.; Martensson, G.; Poulakis, K.; Muehlboeck, J.-S.; Rodriguez Vieitez, E.; Chiotis, K.; Grothe, M. J.; Nordberg, A.; Ferreira, D.; Westman, E.
Show abstract
BackgroundBiological subtypes in Alzheimers disease (AD), originally identified on neuropathological data, have been translated to in vivo biomarkers such as structural magnetic resonance imaging (sMRI) and positron emission tomography (PET), to disentangle the heterogeneity within AD. Although there is methodological variability across studies, comparable characteristics of subtypes are reported at the group level. In this study, we investigated whether group-level similarities translate to individual-level agreement across subtyping methods, in a head-to-head context. MethodsWe compared five previously published subtyping methods. Firstly, we validated the subtyping methods in 89 amyloid-beta positive (A{beta}+) AD dementia patients (reference group: 70 A{beta}-healthy individuals; HC) using sMRI. Secondly, we extended and applied the subtyping methods to 53 A{beta}+ prodromal AD and 30 A{beta}+ AD dementia patients (reference group: 200 A{beta}-HC) using both sMRI and tau PET. Subtyping methods were implemented as outlined in each original study. Group-level and individual-level comparisons across methods were performed. ResultsEach individual method was replicated and the proof-of-concept was established. All methods captured subtypes with similar patterns of demographic and clinical characteristics, and with similar maps of cortical thinning and tau PET uptake, at the group level. However, large disagreements were found at the individual level. ConclusionsAlthough characteristics of subtypes may be comparable at the group level, there is a large disagreement at the individual level across subtyping methods. Therefore, there is an urgent need for consensus and harmonization across subtyping methods. We call for establishment of an open benchmarking framework to overcome this problem.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Development and validation of a harmonized memory score for multicenter Alzheimer's disease and related dementia research 96%
- Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer’s disease 95%
- Continuum of Core 1 Biomarkers in Preclinical Alzheimers Disease 95%
Similar papers in this journal
- Topographical overlapping of the Aβ and Tau pathologies in the Default mode networks predicts Alzheimer’s Disease with higher specificity 95%
- Working Towards a Blood-Derived Gene Expression Biomarker Specific for Alzheimer’s Disease 95%
- FMRI complexity correlates with tau-PET in Late-Onset and Autosomal Dominant Alzheimer's Disease 95%
Similar papers in this journal
- A metabolite-based machine learning approach to diagnose Alzheimer's-type dementia in blood: Results from the European Medical Information Framework for Alzheimer's Disease biomarker discovery cohort 94%
- Brain simulation augments machine-learning-based classification of dementia 93%
- The Cognitive-Functional Composite is sensitive to clinical progression in early dementia: longitudinal findings from the Catch-Cog study cohort 92%
Similar papers in this journal
- Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimers disease (AD) via data fusion and machine learning 95%
- Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles 94%
- Leveraging large multi-center cohorts of Alzheimer Disease endophenotypes to understand the role of Klotho heterozygosity on disease risk 93%
Similar papers in this journal
- MRI and cognitive scores complement each other to accurately predict Alzheimer’s dementia 2 to 7 years before clinical onset 96%
- Medial temporal atrophy in preclinical dementia: visual and automated assessment during six year follow-up 96%
- Preliminary Validation of a Structural Magnetic Resonance Imaging Metric for Tracking Dementia-Related Neurodegeneration and Future Decline 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.