Song'an Shang1, Weiqiang Dou2, and Jingtao Wu3
1Nanjing First Hospital, Nanjing Medical University, Nanjing, China, 2GE Healthcare, MR Research China, Beijing, China, 3Clinical Medical College, Yangzhou University, Yangzhou, China
Synopsis
Cognitive deficits are
prominent non-motor symptoms in Parkinson’s disease (PD) and have
been involved with neurovascular unit. However, sufficient neuroimaging studies
are lacked investigating the associated modulating mechanisms. This study aimed
to identify the contribution of neurovascular decoupling to the pathogenesis of
cognitive decline in PD by integrating informative data obtained from the blood
oxygen level-dependent and arterial-spin-labeling approaches. The involvement of
neurovascular decoupling in
cognitive impairment in PD is regionally specific and most prominent in the
visual-spatial cortices, which could potentially provide a
complementary understanding for the pathophysiological mechanisms underlying
cognitive deficits in PD.
Introduction
Parkinson’s disease
(PD) is an age-related neurodegenerative disorder accounting for clinical manifestations
with a spectrum of nonmotor dysfunction1, 2. Notably, mild
cognitive impairment in PD (PD-MCI) has
been defined as a transitional stage between normal aging and dementia3. A comprehensive understanding
of the pathophysiological
mechanisms in PD-MCI is still needed. As the primary components of neurovascular
unit (NVU),
neurons and the vasculature could also
be vulnerable to the involvement of neuroinflammation and oxidative stress in PD4.
However,
there is still a paucity of neuroimaging investigations regarding neurovascular
decoupling and the consequent cognitive deficits in PD-MCI. Hence, we aimed to
investigate neurovascular decoupling in PD-MCI by integrating regional
homogeneity (ReHo) and cerebral blood flow (CBF) information. Materials and Methods
Subjects
A final
sample consisted of 47 (26 male and 21 female) patients with normal cognition
(PD-NC), 45 (24 male and 21 female) patients with PD-MCI,
and 46 (24
male and 22 female) matched healthy
controls (HCs) were
recruited. The Unified Parkinson’s Disease Rating Scale part III (UPDRS-III) and
Hoehn-Yahr (H-Y) scale were scored for disease severity and stage of PD. The impairments
in global and cognitive domains were assessed using a neuropsychological
battery.
MRI experiment
MRI experiments were
performed using a 3.0-tesla
MRI scanner (Discovery MR750, GE, USA) with an
8-channel phased array head coil. Resting-state functional
MRI (fs-MRI) of the whole brain were acquired as
follows: TR, 2,000 ms; TE, 30 ms; FA, 90°; slice thickness, 4 mm without
gap; FOV, 240 × 240 mm2; matrix size, 64 × 64; voxel size, 4.0 ×
4.0 × 4.0 mm3; 240 time points; and total scan time, 480
s. 3D pseudo-continuous arterial-spin-labeling (ASL) sequence with the following parameters was applied: TR 10.5 ms, TE 4.9
ms, FA 111°, slice thickness 4 mm without gap, FOV 240 × 240 mm2,
matrix size 128 × 128, post-label-delay 2025 ms, NEX 3, 36 slices. Total scan
time was 284 s.
Data analysis
Functional and
perfusion data were preprocessed in SPM 12 embedded in the
MATLAB
2018a platform. The neurovascular coupling was quantitatively
assessed by calculating the correlation coefficient between the z-ReHo map and z-CBF map across voxels at
the whole-brain grey matter (GM)
level. Regional neurovascular
coupling was further analyzed by dividing the whole-brain GM into 90
independent functional sub-regions based on the automated anatomical labeling
atlas. In addition,
CBF/ReHo ratios across voxels within the GM mask were calculated with the
original values of the metrics.
Statistical analysis
The UPDRS-III scores,
H-Y stage and disease duration were compared using Mann-Whitney U tests. One-way
analysis of variance (ANOVA) (for scores of five cognitive domains, metrics of whole-brain
GM and regional neurovascular coupling) were utilized for comparisons
among different groups. SPSS 22.0 software was used for the above analyses, and the significance
level was set as a
P value < 0.05. A voxel-wise
one-way analysis of covariance within the GM mask was applied in SPM12 software
for investigating differences among different groups. The significance level was set at an uncorrected voxel-wise threshold of P < 0.001 and a familywise error (FWE)-corrected cluster-wise threshold of P < 0.05. Pearson or Spearman
correlation tests
were
further applied to explore potential associations between clusters values and
clinical assessments. Results
The PD-MCI
patients suffered from significant
impairments within the global cognition and five domains compared with other two groups (P < 0.05). Neurovascular
coupling
was impaired in PD-MCI patients with a decreased global CBF-ReHo
correlation coefficient relative to HC subjects (P < 0.05) (Fig.1). Regional
dysregulation was specific to PD-MCI
group and
localized to the right middle frontal gyrus, right middle cingulate
cortex, right middle occipital gyrus, right inferior parietal gyrus, right supramarginal
gyrus, and right angular gyrus (P
< 0.05) (Fig.1). Compared with HC subjects, PD-MCI
patients showed higher CBF/ReHo
ratios in the
bilateral lingual gyri (LG), bilateral putamen and left postcentral gyrus and lower
CBF/ReHo ratios in the right superior temporal gyrus,
bilateral middle temporal gyri, bilateral parahippocampal gyri and right inferior
frontal gyrus (Fig.2). Relative to HC and PD-NC
groups, PD-MCI group showed an increased
CBF/ReHo ratio in the left LG, which was correlated with poor
visual-spatial performance (r =
-0.36, P = 0.014) (Fig.3).Discussion and conclusion
The current study
investigated neurovascular decoupling and resultant deterioration in PD-MCI
patients by integrating informative data obtained from the blood oxygen level-dependent
and ASL approaches. The PD-MCI group exhibited dysregulation
of NVU at the whole-brain GM level as well as regional disturbances
in cognition-related cortices. In comparison with HC subjects, PD-MCI patients had increased
CBF/ReHo ratios in motor-related regions and decreased ratios
in the limbic system and prefrontal and
temporal cortices. Specifically, a distinct neurovascular
decoupling in the LG that involved visuospatial dysfunction was
characterized in the PD-MCI group relative to HC and
PD-NC groups.
In conclusion, these
imaging signatures linked to neurovascular coupling could potentially provide
complementary insights into the underlying mechanisms of cognitive impairment
during the progression of PD. This work illuminated the involvement of neurovascular
decoupling in the neurodegenerative process in PD-MCI and emphasized
the potential role of coupling metrics for investigating the mechanism
of cognitive decline associated with PD.Acknowledgements
No acknowledgement found.References
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