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Depression is one of the most common non-motor symptoms in Parkinson's disease (PD) and the hyperactivity of the lateral habenula (LHb) may contribute to depression. The present study was performed to investigate the effects and mechanisms of group I metabotropic glutamate receptors (mGluRs) in the LHb on PD-related depressive-like behaviors. Unilateral 6-hydroxydopamine lesions of the substantia nigra pars compacta (SNc) were used to establish the PD rat model.

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New therapeutic agents developed for treating neurological disorders are often tested successfully on rodents. Testing in an appropriate large animal model where there is longer lifespan and comparable brain size to humans should improve translational success and is frequently expected by regulatory bodies. In this project, we aimed to establish a novel sheep model of Parkinson's disease as a large-brained experimental model for translational research.

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Background: Tremor in essential tremor and in tremor-dominant Parkinson's disease is assessed by subjective observations in patients undergoing focused ultrasound thalamotomy, a minimally invasive procedure intended to alleviate tremor in these patients.

Objective: To develop an objective tool for tremor analysis to be used before and after focused ultrasound thalamotomy treatment in the treated hand (contralateral to ablation) and non-treated (ipsilateral to ablation).

Methods: Using image processing and signal processing that utilized images of a Archimedes spiral drawing, we created a tool to analyze tremor.

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Deep brain stimulation (DBS) effectively treats motor symptoms of advanced Parkinson's disease (PD), with the globus pallidus interna (GPi) commonly targeted. However, its therapeutic mechanisms remain unclear. We employed optogenetic stimulation in the entopeduncular nucleus (EP), the rat homologue of GPi, in a unilateral 6-OHDA lesioned female Sprague Dawley rat model of PD.

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Cross-modality PET image synthesis for Parkinson's Disease diagnosis: a leap from [F]FDG to [C]CFT.

Eur J Nucl Med Mol Imaging

January 2025

Department of Nuclear Medicine/PET center, Huashan Hospital, Fudan University, Shanghai, 200235, China.

Purpose: Dopamine transporter [C]CFT PET is highly effective for diagnosing Parkinson's Disease (PD), whereas it is not widely available in most hospitals. To develop a deep learning framework to synthesize [C]CFT PET images from real [F]FDG PET images and leverage their cross-modal correlation to distinguish PD from normal control (NC).

Methods: We developed a deep learning framework to synthesize [C]CFT PET images from real [F]FDG PET images, and leveraged their cross-modal correlation to distinguish PD from NC.

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