Hacer Dasgin1, Basak Soydas Turan2, Bilge Volkan Salanci3, Eser Lay Gun2, Gul Yalcin Cakmakli3, Bulent Elibol3, and Kader K. Oguz1,4,5
1Umram, Bilkent University, Ankara, Turkey, 2Faculty of Medicine, Department of Nuclear Medicine, Hacettepe University, Ankara, Turkey, 3Faculty of Medicine, Department of Neurology, Hacettepe University, Ankara, Turkey, 4Faculty of Medicine, Department of Radiology, Hacettepe University, Ankara, Turkey, 5University of California, Davis, CA, United States
Synopsis
Keywords: Parkinson's Disease, fMRI (resting state)
Clinical presentation of monogenic PD differs from
idiopathic PD, which might relate to different structural and functional alterations.
Previously, we examined a small group of genetic PD
patients with connectivity changes in the
basal ganglia, compared with healthy control (HC)s. In this study we
further examined monogenic PD patients and compared idiopathic PD group and HCs that functional
and microstructural changes would be different in these groups of patients.
There was no significant basal ganglia network (BGN) alteration between PD
groups, but ACC activation is remarkable in both
groups. Significantly decreased fractional anisotropy in mPD patients compared
to iPD patients.
Introduction
Recently several monogenic forms of Parkinson’s disease
(mPD) have been identified which are mostly devoid of alpha-synuclein
pathology, implying that they are a pathological entity separate from
idiopathic PD (iPD)1. We hypothesized
that functional connectivity within the basal ganglia network assessed
by resting-state fmri and white matter microstructural changes assessed by
Diffusion Tensor Imaging (DTI)-Tract-Based Spatial Statistics (TBSS) analysis would be
different in monogenic PD than idiopathic PD patients. Methods
The
Institutional Ethical Committee approved the study and all participants gave
written informed consent and the. 16 iPD, 18 mPD patients and 9 healthy controls
(HCs) took part in this study.
Imaging data were
acquired on a 3.0 T (Architect, GE) whole-body MRI system. Subjects were
instructed to rest with their eyes closed, not to think of anything in
particular, and not to fall asleep. fMRI data were collected by EPI sequence
with the following settings: TR = 1000 ms, TE = 25 ms, FA = 60°, FOV = 192×192
mm2, slices = 36, in-plane matrix = 128×128, thickness = 4 mm, no slice gap,
voxel size =1.8×1.8×4.0 mm3. Anatomical images were collected using
3D T1 MP-RAGE sequence (TR = 8.7 ms, TE = 3.25 ms, FA= 8°, slice
thickness = 1.2 mm, 36 slices, 264, FOV = 256×256 mm2, matrix
size = 512×542 and voxel size = 1.2×1.2×1.2 mm3 on each subject.
DTI: TR/TE: 4308/110.7 ms, 36 independent directions, with 3
mm slice thickness, max b=1000 mm2/s, 1 mm voxel size.
Fifteen iPD (age: 50.58±9.8 years (mean±SD); MMSE: Mini Mental State Examination: 29.10±1.28; BDI: Beck Depression Inventory: 13.20±9.3 ) and eighteen mPD patients (age: 43.61±9.51 years (mean±SD), p=0.063; Mini Mental State
Examination (MMSE): 26.66±3.39, p=o.o4; BDI: Beck Depression
Inventory: 13.61±8.81, p=0.77) were included into
the rs-fMRI analysis. One patient from iPD group was excluded from fMRI analysis because of motion artifacts. RS-fMRI data preprocessing and analyses were obtained with
CONN toolbox2 implemented in
Matlab20203. Preprocessing steps
included motion correction using SPM124.
SPM12 and xjview toolbox5 was used for MNI coordinates
and anatomical labeling, and Wfupickatlas6 toolbox was used for ROI definition and basal ganglia network was formed by
combining the caudate nucleus, pallidum, putamen, substantia nigra, and
subthalamic nuclei. Seed based connectivity (SBC) was applied to analyze the
data to characterize the connectivity patterns with a predefined seed for BGN
networks.
We used tract-based spatial statistics (TBSS)7 in FMRIB Software Library (FSL 6.0)8 for
voxelwise whole brain DTI. To create the mean FA skeleton representing all
major WM tracts common to the sample all FA images were averaged. After
preprocessing voxel-wise statistical analyses of differences between groups
image sets were performed on the whole-brain mean FA skeleton to identify
significantly affected white matter tracts using a general linear model (GLM),
set up in the FSL Randomize Tool. The contrasts were analyzed according to permutation-based
non-parametric inference with 500 random permutations using threshold-free
cluster enhancement (TFCE) to
correct for multiple testing.Results
Patients and HCs were similar in terms of gender
and age (p>0.05). Statistical analysis for group
differences (independent sample t test) was performed using SPSS v. 26.0 for
Mac.
Basal ganglia network (BGN) maps showed caudate nucleus, pallidum, putamen
and thalamus activity in both iPD and mPD patients and HCs (Fig.1-2-3). The mPD
group tended to increase strength of activity
(red, t=17.3) compared to iPD (t=11.8) (Fig.3)
and also ACC contributed to BGN in both iPD
and mPD patients (Fig.2-3). There was no significant functional
connectivity alteration between Parkinson groups (p>0.001). However, when
each patient group was compared to HCs, reduced spatial activity in supplementary
motor areas in mPD patients (p<0.001 Fig.4)
without a significant difference in the
iPD group with putamen
used as an ROI.
Widespread significantly reduced FA was observed in the white matter including
the white matter of medial temporal lobes,
bilateral cingulum, fornices, internal and external capsules, superior
cerebellar peduncles and decussation, bilateral superior longitudinal gyrus,
thalami was detected in mPD compared to iPD (TFCE
corrected, p<0.05).(Fig. 5) FA decrease in cerebellum,
superior cerebellar peduncles, decussation and thalamus in mPD group was also remarkable.Discussion
Higher
activation strength in the basal ganglia structures and widespread reduced white
matter FA in mPD than iPD group likely reflect discrete
etiopathogenetic alterations in these two Parkinsonism groups. Cerebellar white
matter changes especially in superior cerebellar peduncles and thalami are
especially noteworthy in mPD group similar to atypical Parkinsonian disorder.
Reciprocal connections between the basal ganglia and cerebellum may also partly
explain our findings9,10. In our further ongoing study, the relation between our findings and F-18 DOPA uptake in the basal ganglia structures is also under evaluation.Conclusion
Different connectivity patterns and strength occur in
monogenic forms of Parkinson Disease than more common idiopathic form of the
disease. Our findings support increasing pathophysiological and clinical
evidence of underlying differences in these groups. Further studies focusing on
the cerebellum and deep gray matter nuclei connectivity are needed to elucidate
the clinical correlations of these findings.Limitations
To evaluate BG connectivity differences in PD groups, basal
ganglia forming parts were evaluated together, an average alteration was
calculated, and no difference was observed in the functional connection between
groups, but these parts may be evaluated separately.Acknowledgements
No acknowledgement found.References
1. Guedes
LC , Mestre T, Outeiro TF, et al. Are genetic and idiopathic forms of
Parkinson’s disease the same disease? J. Neurochem. 2020;152:515-52.
2. Conn: A
functional connectivity toolbox for correlated and anticorrelated brain
networks. Brain connectivity. 2(3), 125-141)
3. Mathworks Inc., Natick
MA, USA
4. https://www.fil.ion.ucl.ac.uk/spm/software/spm12/
5. https://www.alivelearn.net/xjview
6. https://www.nitrc.org/projects/wfu_pickatlas/
7. Smith
SMM, Jenkinson H, Johansen-Berg D, et al. Tract-based spatial statistics: Voxelwise
analysis of multi-subject diffusion data. NeuroImage. 2006; 31:1487-1505.
8. Smith SM, Jenkinson
M, Woolrich MW et al. Advances
in functional and structural MR image analysis and implementation as FSL.
NeuroImage, 23(S1):208-219, 2004.
9. Bostan JA and Strick PL. The
Cerebellum and Basal Ganglia are Interconnected. Neuropsychol
Rev. 2010;20(3): 261–270.
10. Wu
T and Hallett M. The cerebellum in
Parkinson’s disease. Brain. 2013; 136(3):696–709.