ArticleScientific reports2013
Biomarker-guided translation of brain imaging into disease pathway models.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Neuroimaging Feature Terminology: A Controlled Terminology for the Annotation of Brain Imaging Features.Journal of Alzheimer's disease : JAD · 2017Article
- NeuroRDF: semantic integration of highly curated data to prioritize biomarker candidates in Alzheimer's disease.Journal of biomedical semantics · 2016Article
- Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders.International journal of molecular sciences · 2015Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of state-of-the-art brain imaging technologies in recent years and the ability of such technologies to provide high-resolution information at both structural and functional levels has spawned large efforts to introduce novel non-invasive imaging biomarkers for early prediction and diagnosis of brain disorders; however, their utility in both clinic and drug development at their best resolution remains limited to visualizing and monitoring disease progression. Given the fact that efficient translation of valuable information embedded in brain scans into clinical application is of paramount scientific and public health importance, a strategy is needed to bridge the current gap between imaging and molecular biology, particularly in neurodegenerative diseases. As an attempt to address this issue, we present a novel computational method to link readouts of imaging biomarkers to their underlying molecular pathways with the aim of guiding clinical diagnosis, prognosis and even target identification in drug discovery for Alzheimer's disease.
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