AIMC Topic: Substantia Nigra

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Deep Learning-Based Algorithm for Automatic Quantification of Nigrosome-1 and Parkinsonism Classification Using Susceptibility Map-Weighted MRI.

AJNR. American journal of neuroradiology May 2, 2025
BACKGROUND AND PURPOSE: The diagnostic performance of deep learning model that simultaneously detecting and quantifying nigrosome-1 abnormality by using susceptibility map-weighted imaging (SMwI) remains unexplored. This study aimed to develop and va...
Retrospective Studies Female Aged Male Humans Algorithms Parkinson Disease Image Interpretation, Computer-Assisted Parkinsonian Disorders Substantia Nigra Middle Aged Deep Learning Magnetic Resonance Imaging
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SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning.

Nature communications Aug 5, 2024
Multiple reference panels of a given tissue or multiple tissues often exist, and multiple regression methods could be used for training gene expression imputation models for transcriptome-wide association studies (TWAS). To leverage expression imputa...
Substantia Nigra Gene Expression Profiling Transcriptome Dementia Humans Parkinson Disease Machine Learning Alzheimer Disease Genome-Wide Association Study Genetic Predisposition to Disease
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Enhancing Nigrosome-1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging.

Journal of magnetic resonance imaging : JMRI Jan 18, 2024
BACKGROUND: Nigrosome 1 (N1), the largest nigrosome region in the ventrolateral area of the substantia nigra pars compacta, is identifiable by the "N1 sign" in long echo time gradient echo MRI. The N1 sign's absence is a vital Parkinson's disease (PD...
Humans Prospective Studies Female Male Middle Aged Deep Learning ROC Curve Reproducibility of Results Aged Adult Substantia Nigra Magnetic Resonance Imaging Parkinson Disease Image Interpretation, Computer-Assisted
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Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra.

Communications biology Nov 10, 2023
Here we present a deep learning-based image analysis platform (DLAP), tailored to autonomously quantify cell numbers, and fluorescence signals within cellular compartments, derived from RNAscope or immunohistochemistry. We utilised DLAP to analyse su...
Dopamine Plasma Membrane Transport Proteins Substantia Nigra Dopamine Dopaminergic Neurons Deep Learning Mice Humans Animals
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Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance.

Japanese journal of radiology May 31, 2023
PURPOSE: Neuromelanin-sensitive MRI (NM-MRI) has proven useful for diagnosing Parkinson's disease (PD) by showing reduced signals in the substantia nigra (SN) and locus coeruleus (LC), but requires a long scan time. The aim of this study was to asses...
Parkinson Disease Substantia Nigra Melanins Humans Deep Learning Magnetic Resonance Imaging
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Deep Learning-Based Neuromelanin MRI Changes of Isolated REM Sleep Behavior Disorder.

Movement disorders : official journal of the Movement Disorder Society Feb 1, 2022
BACKGROUND: Isolated REM sleep behavior disorder (iRBD) is considered a prodromal stage of parkinsonism. Neurodegenerative changes in the substantia nigra pars compacta (SNc) in parkinsonism can be detected using neuromelanin-sensitive MRI.
Substantia Nigra Melanins REM Sleep Behavior Disorder Humans Parkinson Disease Parkinsonian Disorders Deep Learning Magnetic Resonance Imaging
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Automated segmentation of deep brain nuclei using convolutional neural networks and susceptibility weighted imaging.

Human brain mapping Jul 29, 2021
The advent of susceptibility-sensitive MRI techniques, such as susceptibility weighted imaging (SWI), has enabled accurate in vivo visualization and quantification of iron deposition within the human brain. Although previous approaches have been intr...
Humans Neural Networks, Computer Young Adult Adult Cerebellar Nuclei Female Red Nucleus Magnetic Resonance Imaging Aged Male Substantia Nigra Neuroimaging Middle Aged Subthalamic Nucleus Image Processing, Computer-Assisted
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Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson's disease.

Parkinsonism & related disorders Mar 17, 2021
OBJECTIVES: Despite its use in determining nigrostriatal degeneration, the lack of a consistent interpretation of nigrosome 1 susceptibility map-weighted imaging (SMwI) limits its generalized applicability. To implement and evaluate a diagnostic algo...
Dopamine Plasma Membrane Transport Proteins Substantia Nigra Tropanes Parkinson Disease, Secondary Parkinson Disease Humans Positron-Emission Tomography Retrospective Studies Male Female Image Interpretation, Computer-Assisted Middle Aged Deep Learning Reproducibility of Results Magnetic Resonance Imaging Aged
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A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease.

International journal of neural systems Aug 24, 2020
The basal ganglia (BG) represent a critical center of the nervous system for sensorial discrimination. Although it is known that Huntington's disease (HD) affects this brain area, it still remains unclear how HD patients achieve paradoxical improveme...
Huntington Disease Nerve Net Humans Auditory Perception Dopamine Neural Networks, Computer Signal Detection, Psychological Models, Neurological Corpus Striatum Substantia Nigra
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A preliminary attempt to visualize nigrosome 1 in the substantia nigra for Parkinson's disease at 3T: An efficient susceptibility map-weighted imaging (SMWI) with quantitative susceptibility mapping using deep neural network (QSMnet).

Medical physics Jan 30, 2020
PURPOSE: Visibility of nigrosome 1 in the substantia nigra (SN) is used as an MR imaging biomarker for Parkinson's disease. Because of lower susceptibility induced tissue contrast and SNR visualization of the SN pars compacta (SNPC) using conventiona...
Signal-To-Noise Ratio Magnetic Resonance Imaging Humans Parkinson Disease Deep Learning Substantia Nigra Image Processing, Computer-Assisted
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