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Neuromelanin related ultra-high field signal intensity of the locus coeruleus differs between Parkinson’s disease and controls
- Source :
- NeuroImage: Clinical, Vol 39, Iss , Pp 103479- (2023)
- Publication Year :
- 2023
- Publisher :
- Elsevier, 2023.
-
Abstract
- Introduction: Neuromelanin related signal changes in catecholaminergic nuclei are considered as a promising MRI biomarker in Parkinson’s disease (PD). Until now, most studies have investigated the substantia nigra (SN), while signal changes might be more prominent in the locus coeruleus (LC). Ultra-high field MRI improves the visualisation of these small brainstem regions and might support the development of imaging biomarkers in PD. Objectives: To compare signal intensity of the SN and LC on Magnetization Transfer MRI between PD patients and healthy controls (HC) and to explore its association with cognitive performance in PD. Methods: This study was conducted using data from the TRACK-PD study, a longitudinal 7T MRI study. A total of 78 early-stage PD patients and 36 HC were included. A mask for the SN and LC was automatically segmented and manually corrected. Neuromelanin related signal intensity of the SN and LC was compared between PD and HC. Results: PD participants showed a lower contrast-to-noise ratio (CNR) in the right SN (p = 0.029) and left LC (p = 0.027). After adding age as a confounder, the CNR of the right SN did not significantly differ anymore between PD and HC (p = 0.055). Additionally, a significant positive correlation was found between the SN CNR and memory function. Discussion: This study confirms that neuromelanin related signal intensity of the LC differs between early-stage PD patients and HC. No significant difference was found in the SN. This supports the theory of bottom-up disease progression in PD. Furthermore, loss of SN integrity might influence working memory or learning capabilities in PD patients.
Details
- Language :
- English
- ISSN :
- 22131582
- Volume :
- 39
- Issue :
- 103479-
- Database :
- Directory of Open Access Journals
- Journal :
- NeuroImage: Clinical
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9f31a07ef7234875ae6f299f8b164a6a
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.nicl.2023.103479