Xu Li1,2, Hongjun Liu1,2, Richard P Allen3, Christopher J Earley3, Richard A.E. Edden1,2, Peter B Barker1,2, Tiana Cruz3, and Peter C.M. van Zijl1,2
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
Synopsis
Possible brain iron deficiency was assessed
using quantitative susceptibility mapping at 7T in restless legs syndrome (RLS)
and analyzed with clinical measurements including IRLS severity score, serum
iron, serum ferritin and periodic limb movement during sleep (PLMS). Using
magnetic susceptibility as a brain iron index and compared to control group, significantly
decreased iron was found in RLS patients in dentate nuclei and thalamus, and in
substantia nigra in a subset of RLS patients with severe clinical symptoms with
PLMS larger than 100 times per hour. Significant correlation between PLMS and
brain iron was only found in substantia nigra in RLS.Introduction
Restless legs syndrome (RLS) is a neurological
disorder with a prevalence of 5-10% of the population. It is characterized by
unpleasant sensations mainly in the legs and an urge to move during sitting or
resting in the later part of the day
1. Previous studies have
associated RLS to the abnormal dopaminergic function in the central nervous
system (CNS) and dysfunction in iron metabolism
2-5. In vivo measures of tissue iron using
relaxometry or MR phase have suggested a general trend of iron decrease in the
brain especially in the substantia nigra (SN), yet many inconsistencies still
exist in the reported iron change of different brain regions in different RLS
phenotypes
5,6. The present study thus aims to assess possible brain
iron deficiency in RLS using quantitative susceptibility mapping (QSM)
7-10
and test possible correlations between tissue magnetic susceptibility and RLS
clinical features.
Methods
Age matched subjects (30 controls with Mean ± SD
ages of 57.9±8.5 years, 40 primary RLS patients off all RLS medications for at
least 12 days with ages of 58.2±9.4 years and IRLS severity scores Mean ± SD 25.3
± 7.1) were scanned at 7T (Philips Healthcare) using a 32-channel Nova medical receiver
head coil using 3D GRE sequence, with either 1mm isotropic resolution, TR/TE1/ΔTE=45/2/2 ms, 9 echoes, flip angle of 9°, bandwidth 1530 Hz/px (n=2), or 0.8 mm isotropic
resolution, with TR/TE= 20/12 ms, flip angle 10°, bandwidth 169 Hz/px (n=68). For all the scans, MR
phase data at TE=12 ms were used to generate quantitative susceptibility maps. Phase data were unwrapped with Laplacian-based
phase unwrapping and the background field was removed using the V-SHARP method11-12.
QSM images were then generated using the LSQR method12. The QSM
image was referenced with respect to the CSF in the lateral ventricle. Regions
of interest (ROI) were selected automatically using a QSM based atlas10
and corrected by a neuroradiologist if necessary (HL). In addition, a fixed
shape ROI (3x3 square) was selected in the center of the SN in order to test
the influence of different ways of ROI selection6 (Fig. 1). Group
differences between control and RLS groups were tested using ANOVA controlling
either the ROI volume or subject age. Pearson partial correlations were
obtained between tissue magnetic susceptibility and RLS clinical measurements including
IRLS severity score, serum iron, serum ferritin and periodic limb movement
during sleep (PLMS) on the 2nd of two-consecutive-nights sleep
studies controlling for ROI volume (for full ROI) and age.
Results
RLS compared to controls showed significantly lower
susceptibility in the dentate nucleus (DN) (p<0.01) and in the thalamus (p<0.05). There were no
significant differences in the serum ferritin or serum iron in control versus
RLS group. In most brain regions, no significant correlations were found
between brain susceptibility and serum iron or serum ferritin except some weak
correlations in caudate nucleus (CN) and putamen (PUT) (Table 1). Brain tissue
magnetic susceptibility does not correlate with IRLS severity score, but a
significant negative correlation was found between susceptibility in SN and
PLMS measures. This finding persists with both automatically selected ROI and
fixed-shape ROI (Fig. 2). In addition, for a subgroup of RLS patients (n=11)
with severe clinical feature of PLMS/hr ≥ 100, a significant decrease of SN susceptibility
was noticed as compared to control group (p<0.05 with automated ROI and
p<0.01 with fixed shape ROI).
Discussion
As the iron homeostasis
inside the CNS is regulated by multiple mechanisms, the lack of strong
correlations between the measured tissue susceptibility and serum iron or serum
ferritin is not fully unexpected. As compared to previous studies
4-6,
our current results suggest possible iron deficiency also in the DN and
thalamus in RLS. While previous RLS studies have indicated that SN is the main region
affected by iron deficiency in RLS
4, the current study seems to
suggest that the iron deficiency in SN happens mostly in those RLS patients
with severe PLMS symptoms. The strong negative correlation between tissue
susceptibility and PLMS may also indicate the important role of iron in the pathophysiology
driving the PLMS motor sign of RLS.
Conclusion
The current study suggests lower brain iron in
DN and thalamus in primary RLS and in SN in RLS patients with severe PLMS,
though the serum iron and serum ferritin levels do not differ significantly.
The iron status in SN as measured by magnetic susceptibility has been found to
significantly correlate with PLMS, which is the motor sign of RLS.
Acknowledgements
Funding: R01
NS075184 and P41 EB015909References
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