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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification. Machine learning can identify groups with similar features …

Sequence of clinical and neurodegeneration events in Parkinson's disease progression

Analyzing large Alzheimer's disease cognitive datasets: Considerations and challenges

Abstract Recent data-sharing initiatives of clinical and preclinical Alzheimer's disease (AD) have led to a growing number of non-clinical researchers analyzing these datasets using modern data-driven computational methods. Cognitive tests are key …

Quantitative detection and staging of presymptomatic cognitive decline in familial Alzheimer's disease: a retrospective cohort analysis

Prion propagation estimated from brain diffusion MRI is subtype dependent in sporadic Creutzfeldt–Jakob disease

© 2020, The Author(s). Sporadic Creutzfeldt–Jakob disease (sCJD) is a transmissible brain proteinopathy. Five main clinicopathological subtypes (sCJD-MM(V)1, -MM(V)2C, -MV2K, -VV1, and -VV2) are currently distinguished. Histopathological evidence …

The ENIGMA-Epilepsy working group: Mapping disease from large data sets

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in …

Robust markers and sample sizes for multi-centre trials of Huntington's disease.

OBJECTIVE: The identification of sensitive biomarkers is essential to validate therapeutics for Huntington's disease (HD). We directly compare structural imaging markers across the largest collective imaging HD dataset, to identify a set of imaging …

Sequences of cognitive decline in typical Alzheimer's disease and posterior cortical atrophy estimated using a novel event-based model of disease progression

Abstract Introduction This work aims to characterize the sequence in which cognitive deficits appear in two dementia syndromes. Methods Event-based modeling estimated fine-grained sequences of cognitive decline in clinically-diagnosed posterior …

Towards a European Health Research and Innovation Cloud (HRIC)

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include multiple phenotypes on distinct disease trajectories. Here we introduce a machine-learning …