New York, NY / London, UK, July, 12th 2023; The Huntington’s Disease Imaging Harmonization (HD-IH) Consortium, founded last year to conduct an unprecedented harmonization analysis of more than 6,000 participant-visit magnetic resonance images (MRIs) acquired from over 2,000 research participants, has now completed the initial phase and secured the necessary funding commitment to complete the…
As members of the Ataxia Global Initiative (AGI) MR Biomarkers Study Group that authored the paper Kirsi Kinnunen and Niccolo Fuin hope that these guidelines on harmonizing MRI data acquisition will be helpful for ataxia study sponsors.
We have developed a fully automated framework that uses deep learning for caudate segmentation (IXIQ. Ai) and generalised BSI (gBSI) for longitudinal measurements. Here, we validate the new method by comparing its volumetric scores with those of the standard manual pipeline (Man+BSI). Man+BSI produced larger caudate volumes than IXIQ.
The accurate, consistent, and scalable estimation of cerebellar atrophy would be highly beneficial for clinical trials in multiple system atrophy (MSA)1-3.
Drug development trials aimed to halt Alzheimer’s disease (AD) progression favour recruitment of participants at early stages, preferably before symptomatic onset. In this investigation, we developed a deep-learning framework to differentiate participants with accelerated cognitive decline from those that remain cognitively stable within 24 months.
Alzheimer's disease is a complex neurodegenerative disorder that affects millions of people worldwide. While there is no cure for the disease, ongoing research efforts have led to significant advancements in our understanding of the underlying mechanisms that drive the disease.
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