Standardized Data Acquisition for Neuromelanin-sensitive Magnetic Resonance Imaging of the Substantia Nigra

10.3791/62493 ◽  
2021 ◽  
Author(s):  
Garrett Salzman ◽  
Jocelyn Kim ◽  
Guillermo Horga ◽  
Kenneth Wengler
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Substantia Nigra ◽  
Data Acquisition ◽  
Resonance Imaging

scholarly journals Substantia nigra neuromelanin magnetic resonance imaging in patients with different subtypes of Parkinson disease

2021 ◽  
Author(s):  
Lu Wang ◽  
Yayun Yan ◽  
Liyao Zhang ◽  
Yan Liu ◽  
Ruirui Luo ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Substantia Nigra ◽  
Parkinson Disease ◽  
Clinical Symptoms ◽  
Dopamine Neurons ◽  
Substantia Nigra Pars Compacta ◽  
Resonance Imaging ◽  
Mean Values

AbstractNeuromelanin (NM) is a dark pigment that mainly exists in neurons of the substantia nigra pars compacta (SNc). In Parkinson disease (PD) patients, NM concentration decreases gradually with degeneration and necrosis of dopamine neurons, suggesting potential use as a PD biomarker. We aimed to evaluate associations between NM concentration in in vivo SN and PD progression and different motor subtypes using NM magnetic resonance imaging (NM-MRI). Fifty-four patients with idiopathic PD were enrolled. Patients were divided into groups by subtypes with different clinical symptoms: tremor dominant (TD) group and postural instability and gait difficulty (PIGD) group. Fifteen healthy age-matched volunteers were enrolled as controls. All subjects underwent clinical assessment and NM-MRI examination. PD patients showed significantly decreased contrast-to-noise ratio (CNR) values in medial and lateral SN (P < 0.05) compared to controls. CNR values in lateral SN region decreased linearly with PD progression (P = 0.001). PIGD patients showed significant decreases in CNR mean values in lateral SN compared to TD patients (P = 0.004). Diagnostic accuracy of using lateral substantia nigra (SN) in TD and PIGD groups was 79% (sensitivity 76.5%, specificity 78.6%). NM concentration in PD patients decreases gradually during disease progression and differs significantly between PD subtypes. NM may be a reliable biomarker for PD severity and subtype identification.

Modeling data acquisition and the effects of patient motion in magnetic resonance imaging

1991 ◽  
Author(s):  
Jonathan K. Riek ◽  
Warren E. Smith ◽  
A. Murat Tekalp ◽  
Kevin J. Parker ◽  
Theophano Mitsa ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Data Acquisition ◽  
Resonance Imaging ◽  
Patient Motion ◽  
Modeling Data

Magnetic resonance imaging of the substantia nigra in Parkinson's disease

2012 ◽  
Vol 27 (7) ◽  
pp. 822-830 ◽  
Author(s):  
Stéphane Lehéricy ◽  
Michael A. Sharman ◽  
Clarisse Longo Dos Santos ◽  
Raphaël Paquin ◽  
Cecile Gallea
Keyword(s):  
Magnetic Resonance Imaging ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Resonance ◽  
Substantia Nigra ◽  
Resonance Imaging

New Magnetic Resonance Imaging Biomarkers Advance the Characterization of Parkinson Disease

US Neurology ◽  
2013 ◽  
Vol 09 (01) ◽  
pp. 8
Author(s):  
David A Ziegler ◽  
Suzanne Corkin ◽  
◽  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Substantia Nigra ◽  
Parkinson Disease ◽  
Structural Mri ◽  
Careful Examination ◽  
Imaging Biomarkers ◽  
Resonance Imaging ◽  
Current State ◽  
Magnetic Resonance Imaging Mri

The pathophysiology of idiopathic Parkinson disease (PD) is traditionally characterized as substantia nigra degeneration, but careful examination of the widespread neuropathologic changes suggests individual differences in neuronal vulnerability. A major limitation to studies of disease progression in PD has been that conventional magnetic resonance imaging (MRI) techniques provide relatively poor contrast for the structures that are affected by the disease, and thus are not typically used in experimental or clinical studies. Here, we review the current state of structural MRI as applied to the analysis of the PD brain. We also describe a new multispectral MRI method that provides improved contrast for the substantia nigra and basal forebrain, which we recently used to show that these structures display different trajectories of volume loss early in the disease.

scholarly journals New Magnetic Resonance Imaging Biomarkers Advance the Characterisation of Parkinson’s Disease

2013 ◽  
Vol 8 (2) ◽  
pp. 85 ◽  
Author(s):  
David A Ziegler ◽  
Suzanne Corkin ◽  
◽  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Magnetic Resonance ◽  
Substantia Nigra ◽  
Structural Mri ◽  
Careful Examination ◽  
Imaging Biomarkers ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Mri

The pathophysiology of idiopathic Parkinson’s disease (PD) is traditionally characterised as substantia nigra degeneration, but careful examination of the widespread neuropathological changes suggests individual differences in neuronal vulnerability. A major limitation to studies of disease progression in PD has been that conventional magnetic resonance imaging (MRI) techniques provide relatively poor contrast for the structures that are affected by the disease, and thus are not typically used in experimental or clinical studies. Here, we review the current state of structural MRI as applied to the analysis of the PD brain. We also describe a new multispectral MRI method that provides improved contrast for the substantia nigra and basal forebrain, which we recently used to show that these structures display different trajectories of volume loss early in the disease.

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