AIMC Topic: Parkinson Disease

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Exploring autophagy with Gene Ontology.

Autophagy
Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the strategies that cells use to catabolize substances in a controlled way. Autophagy is used for recycling cellular components, responding to cellular ...

Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network.

Computers in biology and medicine
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and accurate measurement of tremor severity is essential in prescribing appropriate treatment to relieve its symptoms. We propose a tremor assessment system based on the u...

Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [I]FP-CIT SPECT images.

European journal of nuclear medicine and molecular imaging
PURPOSE: This work aimed to assess the potential of a set of features extracted from [I]FP-CIT SPECT brain images to be used in the computer-aided "in vivo" confirmation of dopaminergic degeneration and therefore to assist clinical decision to diagno...

Investigation of the effects of carbon-based nanomaterials on A53T alpha-synuclein aggregation using a whole-cell recombinant biosensor.

International journal of nanomedicine
The aggregation of alpha-synuclein (αS), natively unstructured presynaptic protein, is a crucial factor leading to the pathogenesis of Parkinson's disease (PD) and other related disorders. Recent studies have shown prefibrillar and oligomeric interme...

A bicentric controlled study on the effects of aquatic Ai Chi in Parkinson disease.

Complementary therapies in medicine
OBJECTIVES: Various exercise strategies have been suggested to address movement deficits in order to improve motor function and quality of life for individuals in the early or moderate stages of Parkinson disease. The purpose is to evaluate the effec...

Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia-thalamic network.

Neural networks : the official journal of the International Neural Network Society
The efficacy of deep brain stimulation (DBS) for Parkinson's disease (PD) depends in part on the post-operative programming of stimulation parameters. Closed-loop stimulation is one method to realize the frequent adjustment of stimulation parameters....

Tensor Decomposition of Gait Dynamics in Parkinson's Disease.

IEEE transactions on bio-medical engineering
OBJECTIVE: The study of gait in Parkinson's disease is important because it can provide insights into the complex neural system and physiological behaviors of the disease, of which understanding can help improve treatment and lead to effective develo...

A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.

IEEE journal of biomedical and health informatics
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment R...

A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests.

High-accuracy automatic classification of Parkinsonian tremor severity using machine learning method.

Physiological measurement
MOTIVATION: Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremor severity using machine learning approaches has not yet been employed.