Cascaded Multi-Column RVFL+ Classifier for Single-Modal Neuroimaging-Based Diagnosis of Parkinson's Disease

The neuroimaging-based computer-aided diagnosis for Parkinson's disease (PD) has attracted considerable attention in recent years, where the classifier plays a critical role. Random vector functional link network (RVFL) has shown its effectiveness for classification task, while its extended version, namely RVFL plus (RVFL+), integrates the additional privileged information (PI) about training samples in RVFL to help training a more effective classifier. On the other hand, it is still a popular way to adopt only a single neuroimaging modality for PD diagnosis in a clinical practice. In this work, we construct a novel cascaded multi-column RVFL+ (cmcRVFL+) framework for the single-modal neuroimaging-based PD diagnosis without the additional neuroimaging modality as PI. Specifically, the predicted values of RVFL+ classifiers in the current layers are used as the PI for the following classifiers, and therefore, the PI features are self-generated without additional modality. Furthermore, only the multi-column RVFL+ classifiers in the last layer of cmcRVFL+ are finally ensembled to generate the predictive result in the test stage. The experimental results on both the transcranial sonography data set and the magnetic resonance imaging data set for PD show that the proposed cmcRVFL+ algorithm achieves superior performance to all the compared algorithms. It suggests that the proposed cmcRVFL+ has the potential to be flexibly applied to various single-modal imaging based CAD.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research

Related Links:

This article purposed to detect the diagnostic performance of Magnetic resonance parkinsonism index (MRPI).
Source: Parkinsonism and Related Disorders - Category: Neurology Authors: Source Type: research
ConclusionU-net segmentation provided relatively high accuracy in the evaluation of the SNpc in NM-MRI and yielded diagnostic performance comparable to that of the established manual method.
Source: Neuroradiology - Category: Radiology Source Type: research
In conclusion, SNpc signal detected by NM-MRI exhibited high sensitivity and specificity for diagnosis of PD, which was a high-performance imaging diagnostic method for PD. We recommend NM-MRI imaging technology to be wide ly used in Parkinson’s diagnosis.
Source: Neurological Sciences - Category: Neurology Source Type: research
Conclusion: The T1-weighted pallidal signal is associated with occupational Mn exposure and severity of parkinsonism.
Source: Journal of Occupational and Environmental Medicine - Category: Occupational Health Tags: ORIGINAL ARTICLES Source Type: research
Abstract Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder caused by CAG-expansion mutations in the ATXN2 gene, mainly affecting motor neurons in the spinal cord and Purkinje neurons in the cerebellum. While the large expansions were shown to cause SCA2, the intermediate length expansions lead to increased risk for several atrophic processes including amyotrophic lateral sclerosis and Parkinson variants, e.g. progressive supranuclear palsy. Intense efforts to pioneer a neuroprotective therapy for SCA2 require longitudinal monitoring of patients and identification of crucial m...
Source: Neurobiology of Disease - Category: Neurology Authors: Tags: Neurobiol Dis Source Type: research
Funded PHD candidate position at the BCBL- Basque Center on Cognition Brain and Language (San Sebasti án, Basque Country, Spain) (Center of excellence Severo Ochoa)The BCBL invites applications for four 4-year full-time Ph.D positions in Cognitive Neuroscience funded by the Spanish Ministry of Innovation and Universities, within the call “Ayudas Predoctorales Severo Ochoa 2019” (to be opened in the fall 2019). The thesis projects/positions will be included in the following research lines: One PhD position: Neurobiological indices of language development in infancy (under the su...
Source: Talking Brains - Category: Neuroscience Authors: Source Type: blogs
In this study we show, for the first time, significant alterations in cholesterol efflux capacity in adolescents throughout the range of BMI, a relationship between six circulating adipocyte-derived EVs microRNAs targeting ABCA1 and cholesterol efflux capacity, and in vitro alterations of cholesterol efflux in macrophages exposed to visceral adipose tissue adipocyte-derived EVs acquired from human subjects. These results suggest that adipocyte-derived EVs, and their microRNA content, may play a critical role in the early pathological development of ASCVD. Commentary on the Developing UK Government Position on Hea...
Source: Fight Aging! - Category: Research Authors: Tags: Newsletters Source Type: blogs
Rapid eye movement sleep behavior disorder is a parasomnia characterized by symptoms of dream enactment and loss of muscle atonia during rapid eye movement sleep. Mild motor impairment is present in some patients with rapid eye movement sleep behavior disorder and it is presumed to be a risk factor for conversion to synucleinopathies. The purpose of this study was to identify patients with mild motor impairment by evaluating finger tapping and to investigate its pathophysiology. Twenty-three patients with rapid eye movement sleep behavior disorder and 20 healthy control subjects were recruited in this study. We accurately ...
Source: Frontiers in Neurology - Category: Neurology Source Type: research
We have read with great interest the article in press in Parkinsonism and Related Disorders written by Wolters et al., entitled “Resting-state fMRI in Parkinson's disease patients with cognitive impairment: A meta-analysis” [1]. Resting-state functional magnetic resonance imaging (fMRI), a promising imaging technique to investigate brain functional reorganization, has been widely used in Parkinson's disease (PD) that has improved the current knowledge about the mechanisms underlying motor and non-motor symptoms [2].
Source: Parkinsonism and Related Disorders - Category: Neurology Authors: Tags: Correspondence Source Type: research
AbstractHuman age prediction is an interesting and applicable issue in different fields. It can be based on various criteria such as face image, DNA methylation, chest plate radiographs, knee radiographs, dental images and etc. Most of the age prediction researches have mainly been based on images. Since the image processing and Machine Learning (ML) techniques have grown up, the investigations were led to use them in age prediction problem. The implementations would be used in different fields, especially in medical applications. Brain Age Estimation (BAE) has attracted more attention in recent years and it would be so he...
Source: Journal of Medical Systems - Category: Information Technology Source Type: research
More News: Biomedical Engineering | Brain | Computers | MRI Scan | Neurology | Parkinson's Disease | Training | Universities & Medical Training