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Objectives: To determine the impact of dopamine deficiency and isolated REM sleep behavior disorder (iRBD) on cognitive performance in early neuronal alpha-synuclein disease (NSD) with hyposmia.
Methods: Using Parkinson's Progression Markers Initiative baseline data, cognitive performance was assessed with a cognitive summary score (CSS) developed by applying regression-based internal norms derived from a robust healthy control (HC) group. Performance was examined for participants with hyposmia classified as NSD-Integrated Staging System (NSD-ISS) Stage 2, either Stage 2A (CSF alpha-synuclein seed amplification assay [SAA]+, SPECT dopamine transporter scan [DaTscan]-) or 2B (SAA+, DaTscan+).
A survey of detection of Parkinson's disease using artificial intelligence models with multiple modalities and various data preprocessing techniques.
J Educ Health Promot
October 2024
Adani Institute of Infrastructure Engineering, Ahmedabad, Gujarat, India.
Parkinson's disease (PD) is a neurodegenerative brain disorder that causes symptoms such as tremors, sleeplessness, behavioral problems, sensory abnormalities, and impaired mobility, according to the World Health Organization (WHO). Artificial intelligence, machine learning (ML), and deep learning (DL) have been used in recent studies (2015-2023) to improve PD diagnosis by categorizing patients and healthy controls based on similar clinical presentations. This study investigates several datasets, modalities, and data preprocessing techniques from the collected data.
View Article and Find Full Text PDFExploring the relation between REM sleep behavior disorder onset and striatal dopaminergic dysfunction in Parkinson's Disease.
J Neurol
December 2024
Department "G.F. Ingrassia", Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy.
Article Synopsis
- The study investigates two phenotypes of Parkinson's Disease (PD) based on the timing of REM sleep behavior disorder (RBD) onset in relation to motor symptoms: "body first" (RBD before motor symptoms) and "brain first" (RBD after motor symptoms).
- Researchers analyzed striatal dopaminergic function in PD patients using imaging and found that the "body first" group exhibited more symmetrical motor impairment, higher cognitive decline, and distinctive imaging results compared to those with later onset RBD.
- The findings corroborate the SOC model's predictions, indicating different patterns of neurological function and cognitive impairment linked to the onset of RBD in PD.
Drug-induced parkinsonism in a patient with DiGeorge syndrome: a case report.
Front Neurosci
November 2024
Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
DiGeorge syndrome, also referred as 22q11.2 deletion syndrome is a multisystem disorder associated with an increased risk of early-onset parkinsonism. In this case report, we present a case of a 47-year-old male patient with complex comorbidities and seizures.
View Article and Find Full Text PDFEnhancement and evaluation for deep learning-based classification of volumetric neuroimaging with 3D-to-2D knowledge distillation.
Sci Rep
November 2024
Department of Management Information Systems, Dong-A University, 225, Gudeok-ro, Seo-gu, Busan, 49236, Republic of Korea.
The application of deep learning techniques for the analysis of neuroimaging has been increasing recently. The 3D Convolutional Neural Network (CNN) technology, which is commonly adopted to encode volumetric information, requires a large number of datasets. However, due to the nature of the medical domain, there are limitations in the number of data available.
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