Myotonic dystrophies (DM) are neuromuscular conditions that cause widespread effects throughout the body. There are brain white matter changes on MRI in patients with DM that correlate with neuropsychological functional changes. How these brain alterations causally relate to the presence and severity of cognitive symptoms remains largely unknown. Deep neural networks have significantly improved the performance of image classification of huge datasets. However, its application in brain imaging is limited and not well described, due to the scarcity of labeled training data. In this work, we propose an approach for the diagnosis of DM based on a spatio-temporal deep learning paradigm. The obtained accuracy (73.71%) and sensitivities and specificities showed that the implemented approach based on 4-D convolutional neural networks leads to a compact, discriminative, and fast computing DM-based clinical medical decision support system.Clinical relevance - Many adults with DM experience cognitive and neurological effects impacting their quality of life, and ability to maintain employment. A robust and reliable DM-based clinical decision support system may help reduce the long diagnostic delay common to DM. Furthermore, it can help neurologists better understand the pathophysiology of the disease and analyze effects of new drugs that aim to address the neurological symptoms of DM.
|Title of host publication
|42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
|Subtitle of host publication
|Enabling Innovative Technologies for Global Healthcare, EMBC 2020
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - Jul 2020
|42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
Duration: Jul 20 2020 → Jul 24 2020
|Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
|42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
|7/20/20 → 7/24/20
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