Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease [PDF]
IEEE ISBI 2020: International Symposium on Biomedical Imaging, Apr
2020, Iowa City, United States, 2020 The improvements in magnetic resonance imaging have led to the development of numerous techniques to better detect structural alterations caused by neurodegenerative diseases. Among these, the patch-based grading framework has been proposed to model local patterns of anatomical changes.
arxiv
Protein Aggregates and Polyglutamine Tracts In Neurodegenerative Disease [PDF]
, 2018 The incidence of neurodegenerative diseases such as Alzheimer\u27s Disease, Parkinson\u27s Disease, Huntington\u27s Disease and other Polyglutamine Diseases is projected to dramatically increase throughout the developed world, and yet the pathology of ...
Mack, John
core +1 more source
Stability effects on results of diffusion tensor imaging analysis by reduction of the number of gradient directions due to motion artifacts: an application to presymptomatic Huntington's disease. [PDF]
, 2011 In diffusion tensor imaging (DTI), an improvement in the signal-to-noise ratio (SNR) of the fractional anisotropy (FA) maps can be obtained when the number of recorded gradient directions (GD) is increased.
Kassubek, J +6 more
core +2 more sources
Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Huntington's disease (HD) speech/language disorders have typically been attributed to motor and executive impairment due to striatal dysfunction. In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce.
Arnau Puig‐Davi +13 more
wiley +1 more source
The Paradigm Of Huntington Disease [PDF]
, 1989 I recall it as vividly as though it had occurred but yesterday. It made a most enduring impression upon my boyish mind which was my very first impulse to choosing chorea as my virgin contribution to medical lore.
Conneally, P. M., Jenkins, John B.
core +2 more sources
A 14‐Year Study of Serum Glial Fibrillary Acidic Protein and Total Tau in Premanifest Huntington's
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT There is a pressing need for blood biomarkers that can identify Huntington's disease (HD) gene carriers' proximity to manifest disease. We previously examined serial serum neurofilament light (NfL) concentrations in 21 premanifest HD gene carriers and 14 controls over 14 years, finding that NfL demonstrates high prognostic value and distinct ...
Natalia E. Owen +8 more
wiley +1 more source
Frontiers in Physiology, 2023 Introduction: Huntington disease is an autosomal dominant neurodegenerative disorder which is caused by a CAG repeat expansion in the HTT gene that codes for an elongated polyglutamine tract in the huntingtin (HTT) protein.
Fanny L. Lemarié +4 more
doaj +1 more source
svReg: Structural Varying-coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups [PDF]
arXiv, 2020 For Huntington disease, identification of brain regions related to motor impairment can be useful for developing interventions to alleviate the motor symptom, the major symptom of the disease. However, the effects from the brain regions to motor impairment may vary for different groups of patients.
arxiv
DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways [PDF]
, 2019 Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease progression modeling is to describe patient status using a small number of states that represent distinctive distributions over a set of observed measures. Hidden Markov models
arxiv +1 more source
Advanced Biology, EarlyView.Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi +4 more
wiley +1 more source