Parkinson's Disease

[Effects of treatment on ultrastructure of olfactory bulb and GFAP expression in mice with Parkinson's disease].

OBJECTIVE: To observe the effects of treatment on the ultrastructure of olfactory bulb and the expression of substantia nigra glial fibrillary acidic protein (GFAP) in mice with Parkinson's disease (PD) induced by lipopolysaccharide (LPS), and to provide methods and evidence for early prevention and treatment of PD.

Artificial intelligence in the diagnosis of Parkinson's disease from ioflupane-123 single-photon emission computed tomography dopamine transporter scans using transfer learning.

OBJECTIVE: The objective of this study was to identify the extent to which artificial intelligence could be used in the diagnosis of Parkinson's disease from ioflupane-123 (¹²³I) single-photon emission computed tomography (SPECT) dopamine transporter scans using transfer learning.

Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet ...

Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors.

Motor fluctuations between "OFF" state (with no benefit from medication) and " ON" state (with optimum benefit from medication) are a major focus of c...

A machine learning approach to targeted balance rehabilitation in people with Parkinson's disease using a sparse sensor set.

Clinical Balance Assessments Often Rely On Functional Tasks As A Proxy For Balance (E.G., Timed Up And Go). In Contrast, Analyses Of Balance In Resear...

Depression Severity Classification from Speech Emotion.

Major Depressive Disorder (MDD) is a common psychiatric illness. Automatically classifying depression severity using audio analysis can help clinical ...

Machine Learning Interface for Medical Image Analysis.

TensorFlow is a second-generation open-source machine learning software library with a built-in framework for implementing neural networks in wide var...

Arterial stiffness and 25-hydroxyvitamin D levels in chronic kidney disease patients.

OBJECTIVE: Arterial stiffness refers to arterial wall rigidity, particularly developing in central vessels. Arterial stiffness increases in early stag...

Automated assessment of symptom severity changes during deep brain stimulation (DBS) therapy for Parkinson's disease.

Deep brain stimulation (DBS) is currently being used as a treatment for symptoms of Parkinson's disease (PD). Tracking symptom severity progression an...

Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT).

OBJECTIVE: The differential diagnosis of Parkinson's disease (PD) and other conditions, such as essential tremor and drug-induced parkinsonian syndrom...

Upper limb robotics applied to neurorehabilitation: An overview of clinical practice.

BACKGROUND: During the last two decades, extensive interaction between clinicians and engineers has led to the development of systems that stimulate n...

30 Years of Robotic Surgery.

The idea of reproducing himself with the use of a mechanical robot structure has been in man's imagination in the last 3000 years. However, the use of...

Differentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification.

BACKGROUND: Clinical differentiation of parkinsonian syndromes is still challenging.

The Hyper-Modular Associative Mind: A Computational Analysis of Associative Responses of Persons with Asperger Syndrome.

Rigidity of thought is considered a main characteristic of persons with Asperger syndrome (AS). This rigidity may explain the poor comprehension of un...

Design of a bio-inspired pneumatic artificial muscle with self-contained sensing.

Pneumatic artificial muscles (PAMs) are one of the most famous linear actuators in bio-inspired robotics. They can generate relatively high linear for...

Support vector machine classification of Parkinson's disease and essential tremor subjects based on temporal fluctuation.

Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor ...

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.

The development of wearable sensors has opened the door for long-term assessment of movement disorders. However, there is still a need for developing ...

Using the Gene Ontology to Annotate Key Players in Parkinson's Disease.

The Gene Ontology (GO) is widely recognised as the gold standard bioinformatics resource for summarizing functional knowledge of gene products in a co...

Combining Dopaminergic Facilitation with Robot-Assisted Upper Limb Therapy in Stroke Survivors: A Focused Review.

Despite aggressive conventional therapy, lasting hemiplegia persists in a large percentage of stroke survivors. The aim of this article is to critical...

Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease.

BACKGROUND: Patients with the postural instability and gait difficulty subtype (PIGD) of Parkinson's disease (PD) are a refractory challenge in clinic...