Pohchoo Seow1, Yao-Chia Shih2, Septian Hartono3, Weiling Lee1, Say Lee Chong1, Celeste Yan Teng Chen 4, Eng King Tan3, and Ling Ling Chan1
1Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Graduate Institution of Medicine, Yuan Ze University, Taiwan, Taiwan, 3Department of Neurology, National Neuroscience Institute, Singapore, Singapore, 4Neurology, National Neuroscience Institute, Singapore, Singapore
Synopsis
Altered brain cholinergic activity has gained attention in Parkinson’s
disease (PD). However, the effects of cholinergic dysregulation on motor
and cognitive functions remain unclear. This is partly contributed by the limited
capability of conventional MRI techniques to detect microstructural changes in the
deep brain.
We evaluated the cholinergic projections in 36 PD patients and 58 asymptomatic
healthy controls using diffusion MRI connectometry. Local diffusion changes in
the cholinergic projections showed significant correlations to motor onset, and
clinical motor scores in PD compared to control subjects. Our results suggest underlying
neuronal inflammation and compensatory mechanisms in early PD-related neural dysfunction.
Introduction
Twenty percent of PD patients who suffer from gait deficit
and postural instability are non-responsive to L-DOPA treatment 1,2.
This has been attributed to decreased acetylcholine metabolism 3. Considerable evidence
for altered cholinergic neurotransmission in PD 4 had emerged using MR tractography and PET tracer
techniques to elucidate the
underlying neuropathophysiology of PD 1,2,4. The
cholinergic neurotransmitter system has a widespread influence on crucial
functions such as cognition, attention, gait and postural stability5. The
brainstem pedunculopontine nucleus (PPN) is one of the major hubs of
cholinergic neuronal projections in the CNS 2. Unfortunately,
the effects of cholinergic neurotransmission on the different clinical functions
remain unclear in PD. MR studies on the structural connectivity of the
cholinergic projections and their correlations with clinical symptoms are
scarce. We
hypothesize that diffusion MRI connectometry is sensitive to microstructural
changes in the cholinergic PPN projections in PD 6-8. We
investigated the local connectivity of cholinergic PPN projections in relation
to motor and cognitive deficits in PD using diffusion MRI connectometry to gain further
insights into the underlying pathophyisology.Method
Institutional ethics board
approval and patient informed consent were obtained for this study. Ninety-four
subjects comprising 36 PD patients and 58 healthy controls (HC) underwent
brain MRI using diffusion spectrum imaging (DSI) on a 3T scanner
(Skyra, Siemens Healthcare, Erlangen, Germany). The DSI imaging
parameters were as follows: TR/TE=4100/110 ms, in-plane resolution = 2x2x2 mm3,
diffusion sampling= 129 directions and maximum b-value = 3000 s/mm2.
Clinical motor and cognitive assessments including Hoehn and Yahr staging (H&Y),
the Unified Parkinson’s Disease Rating Scale part 3 (UPDRS-III), Montreal Cognitive Assessment (MoCA) and
Mini-Mental State Examination (MMSE) were conducted in all participants.
Deterministic fibre tractography was performed using DSI
studio (http://dsi-studio.labsolver.org).
Cholinergic projections were tracked in both hemispheres (Figure 1). Tracking was
run with PPN as a common seed and specific ROI targets as reported in the
literature. DSI
data were normalised to the Human-Connectome-Project diffusion MRI template and
diffusion indices comprising of the quantitative anisotropy (QA), and restricted
(RDI) and non-restricted (NRDI) diffusion indices were obtained from the cholinergic
tracts. The Kruskall-Wallis test was carried out to establish group differences
in the diffusion indices of the PPN projections between PD and HC groups. Further
evaluation for
voxel-by-voxel correlation to the motor and cognitive assessments was conducted
using diffusion MRI connectometry.Results
The subject demographics are tabulated in Figure 2. Significant
differences were demonstrated in RDI, NRDI, and QA for PPN projections to the thalamus
and basal ganglia between PD and HC groups. Diffusion MRI connectometry
analysis revealed significant correlations (false
discovery rate (FDR) <0.05)
only in RDI and NRDI with negative correlations to motor scores (H&Y and UPDRS-III)
and right-sided onset of motor symptom between the two groups (Figure
3&4). The affected PPN projections targeted bilateral thalamic intralaminar nuclei,
bilateral thalamic ventral posterolateral nuclei, bilateral subthalamic
nucleus, and right substantia nigra. Decreased RDI and NRDI were seen with
increased H&Y and UPDRS-III scores. The PD group with right-sided presenting
motor onset correlated with decreased RDI and NRDI compared to PD with left-sided
presenting motor onset and controls without presentation of motor onset. However,
no significant correlations were seen between diffusion indices with handedness
and cognitive assessments (MOCA & MMSE). Discussion
Comparison of the local connectivity of the PPN cholinergic projections
between PD and HC participants showed subtle changes in cholinergic neurotransmission.
Further MRI connectometry analysis revealed that decreased RDI and NRDI were
significantly correlated with increased H&Y and UPDRS-III motor scores, and
right-sided motor symptom presentations in the cholinergic PPN projections in
PD patients compared to HC. The local changes in the cholinergic neurotransmission
could be driven by several factors such as axonal degeneration, astrocyte
reactivity and neuroinflammation, representing early and sustained attempts to
compensate for PD-related dysfunction or alteration of acetylcholinesterase in
non-neuronal cells 9-11.Conclusion
Diffusion MRI connectometry is a sensitive and refined
higher order tractography method that is robust in localizing the segmental WM tract
that exhibits significant association with the variable of interest. The subtle
local connectivity change of cholinergic PPN projections to the thalamus and
basal ganglia network demonstrated significant negative correlations with motor
scores and right-sided motor symptom presentations between PD and HC. The
cholinergic changes suggest underlying neuroinflammation and compensatory
mechanisms for PD-related neural dysfunction.Acknowledgements
We express our appreciation to team of MR Radiographers and research assistants in the Department of Diagnostic Radiology, Singapore General Hospital for their kind assistance and excellent support in this study.References
1. Bohnen NI, Müller ML, Koeppe RA, et al.
History of falls in Parkinson disease is associated with reduced cholinergic
activity. Neurology. 2009;73(20):1670-1676.
2. Bohnen NI, Kanel P, Zhou Z, et al.
Cholinergic system changes of falls and freezing of gait in Parkinson's
disease. Ann Neurol. 2019;85(4):538-549.
3. Giladi N, Treves TA, Simon ES, et al.
Freezing of gait in patients with advanced Parkinson's disease. Journal of neural transmission (Vienna,
Austria : 1996). 2001;108(1):53-61.
4. Müller MLTM, Bohnen NI. Cholinergic
dysfunction in Parkinson's disease. Curr
Neurol Neurosci Rep. 2013;13(9):377-377.
5. Yarnall A, Rochester L, Burn DJ. The
interplay of cholinergic function, attention, and falls in Parkinson's disease.
Movement disorders : official journal of
the Movement Disorder Society. 2011;26(14):2496-2503.
6. Yeh FC, Tang PF, Tseng WY. Diffusion
MRI connectometry automatically reveals affected fiber pathways in individuals
with chronic stroke. NeuroImage Clinical.
2013;2:912-921.
7. Yeh FC, Wedeen VJ, Tseng WY.
Generalized q-sampling imaging. IEEE
Trans Med Imaging. 2010;29(9):1626-1635.
8. Yeh FC, Badre D, Verstynen T.
Connectometry: A statistical approach harnessing the analytical potential of
the local connectome. NeuroImage. 2016;125:162-171.
9. Yeh FC, Liu L, Hitchens TK, Wu YL.
Mapping immune cell infiltration using restricted diffusion MRI. Magnetic resonance in medicine. 2017;77(2):603-612.
10. Chambers NE, Lanza K, Bishop C.
Pedunculopontine Nucleus Degeneration Contributes to Both Motor and Non-Motor
Symptoms of Parkinson's Disease. Front
Pharmacol. 2020;10:1494-1494.
11. Wang N, Zhang J,
Cofer G, et al. Neurite orientation dispersion and density imaging of mouse
brain microstructure. Brain structure
& function. 2019;224(5):1797-1813.