AIMC Topic: Spinocerebellar Ataxias

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Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.

Sensors (Basel, Switzerland) May 27, 2020
Application of deep learning (DL) to the field of healthcare is aiding clinicians to make an accurate diagnosis. DL provides reliable results for image processing and sensor interpretation problems most of the time. However, model uncertainty should ...
Humans Neural Networks, Computer Monte Carlo Method Spinocerebellar Ataxias Decision Trees Image Processing, Computer-Assisted Electrooculography
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Gait characteristics and clinical relevance of hereditary spinocerebellar ataxia on deep learning.

Artificial intelligence in medicine Jan 7, 2020
BACKGROUND: Deep learning has always been at the forefront of scientific research. It has also been applied to medical research. Hereditary spinocerebellar ataxia (SCA) is characterized by gait abnormalities and is usually evaluated semi-quantitative...
Spinocerebellar Ataxias Single-Blind Method Sex Factors Gait Age Factors Magnetic Resonance Imaging Deep Learning Female Male Humans Biomechanical Phenomena Severity of Illness Index Middle Aged Young Adult Aged Adult
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Integration of graph network with kernel SVM and logistic regression for identification of biomarkers in SCA12 and its diagnosis.

Cerebral cortex (New York, N.Y. : 1991) Apr 1, 2024
Spinocerebellar ataxia type 12 is a hereditary and neurodegenerative illness commonly found in India. However, there is no established noninvasive automatic diagnostic system for its diagnosis and identification of imaging biomarkers. This work propo...
Middle Aged Logistic Models Male Atrophy Brain Spinocerebellar Ataxias Magnetic Resonance Imaging Support Vector Machine Humans Adult Biomarkers Female
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Mutation analysis of 6 spinocerebellar ataxia (SCA) types in patients from southern Turkey.

Turkish journal of medical sciences Jan 1, 2015
BACKGROUND/AIM: Spinocerebellar ataxias (SCAs) are complex clinical and genetically heterogeneous, mostly autosomal dominant neurodegenerative diseases. At present, more than 30 hereditary SCA types have been associated with different gene mutations....
Trinucleotide Repeats Child Consanguinity Mutation Spinocerebellar Ataxias Child, Preschool Middle Aged Ataxins Calcium Channels Humans Young Adult Adolescent Turkey Case-Control Studies TATA-Box Binding Protein Adult
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