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Normative Values of Neuromelanin‐Sensitive <scp>MRI</scp> Signal in Older Adults Obtained Using a Turbo Spin Echo Sequence

Authors :
Rami Al Haddad
Mira Chamoun
Christine L. Tardif
Synthia Guimond
Guillermo Horga
Pedro Rosa‐Neto
Clifford M. Cassidy
Source :
Journal of Magnetic Resonance Imaging.
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

The integrity and function of catecholamine neurotransmitter systems can be assessed using neuromelanin-sensitive MRI (NM-MRI). The relevance of this method to neurodegenerative and psychiatric disorders is becoming increasingly evident, and it has potential as a clinical biomarker.To support future application of NM-MRI as a clinical biomarker by defining the normative range of NM-MRI signal and volume metrics in cognitively normal older adults.Prospective.A total of 152 cognitively normal older adults aged 53-86 years old, including 41 participants who had follow-up NM-MRI data collected 9-16 months later.A 3.0 T; NM-MRI turbo spin echo and T1-weighted magnetization-prepared rapid acquisition with gradient echo sequences.NM-MRI images were processed to yield summary measures of volume and signal (contrast-to-noise ratio, CNR) for the substantia nigra (SN) and locus coeruleus (LC) using a recently developed software employing a fully automated algorithm. Change in these metrics over time was also assessed.Mean and standard deviation of NM-MRI metrics were calculated; change over time was tested for significance using 1-sample t-tests. P values 0.05 were considered statistically significant.At baseline SN signal (CNR) was 10.02% (left) and 10.28% (right) and LC signal was 24.71% (left) and 20.42% (right). Baseline SN volume was 576 mmWe report normative values for NM-MRI signal and volume in the SN and LC of cognitively normal older adults and explore their change over time. These values may help future efforts to use NM-MRI as a clinical biomarker by facilitating identification of patients with extreme NM-MRI values.1.

Details

ISSN :
15222586 and 10531807
Database :
OpenAIRE
Journal :
Journal of Magnetic Resonance Imaging
Accession number :
edsair.doi.dedup.....bd0ac7e1815f08827cff73431a414a1e
Full Text :
https://doi.org/10.1002/jmri.28530