Evaluation of gray matter degeneration in Parkinson’s disease by using neurite-orientation dispersion and density imaging: Analysis by gray matter-based spatial statistics
Koji Kamagata1, Kouhei Tsuruta2, Taku Hatano3, Keigo Shimoji4, Masaaki Hori1, Ayami Okuzumi3, Misaki Nakazawa2, Syo Murata2, Ryo Ueda2, and Shigeki Aoki1

1Department of Radiology, Juntendo University, Tokyo, Japan, 2Department of Radiological Sciences, Tokyo Metropolitan University, Tokyo, Japan, 3Department of Neurology, Juntendo University, Tokyo, Japan, 4Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan

Synopsis

In this study, neurite-orientation dispersion and density imaging were used to estimate structural changes of neurites in the gray matter of the brain, which is the earliest pathological change in patients with PD. The results showed a significant decrease in the intracellular volume fraction in the right amygdala and right putamen in PD, suggesting a decrease in neurite density that may reflect actual pathological change. Given that NODDI could detect pathological changes at the earliest stages in PD, it may be useful for early diagnosis.

PURPOSE

Abnormal accumulation of Lewy-related pathology in the nervous system has been reported as a key part of the pathological changes in Parkinson’s disease (PD) [1]. The earliest degenerative changes, called Lewy neurites, aggregate at the neurites and are related to neurite loss or structural change [2]. In recent years, multishell diffusion-weighted MRI (dMRI) and neurite-orientation dispersion and density imaging (NODDI) models have allowed researchers to estimate neurite structure and density in the gray matter [3, 4]. The purpose of this study is to use NODDI to quantitatively evaluate neurite degeneration in the gray matter in PD.

METHODS

Multishell dMRI was performed using 3T MRI (Achieva, Philips) on 11 patients with PD and 13 healthy controls matched for age and sex. Multishell dMRI data were acquired with a spin-echo EPI sequence along 32 isotropic diffusion gradient directions. For each direction, Multishell dMRI were acquired with three values of b (0, 1,000, and 2,000 s/mm2). The sequence parameterswere as follows: image orientation, axial; repetition time (TR), 7,041 ms; echo time (TE), 70 ms; diffusion gradient pulse duration (δ), 13.3 ms; diffusion gradient separation (Δ), 45.3 ms; number of excitations (NEX), 1; field of view, 240 mm; matrix, 80×80; slice thickness, 3 mm; number of slices, 50; and imaging time, 6 min 26 s. The intracellular volume fraction (Vic) and orientation dispersion index (OD) were calculated using the NODDI toolbox and the gray matter on the Vic, OD, FA, and MD maps was analyzed by using gray matter-based spatial statistics (GBSS). Region-of-interest (ROI) analysis was added using an ROI template taken from the Harvard-Oxford subcortical and cortical structural atlas.

RESULTS

The GBSS results showed a significant decrease in Vic in the right amygdala and right posterior putamen, right hippocampus, right parahippocampal gyrus, right frontal orbital cortex, right temporal pole in the PD group compared with the healthy controls (uncorrected p < 0.0005). No significant change was observed in OD, FA, or MD. ROI analysis also showed a significant decrease in Vic in the right amygdala (p = 0.0017), in the right parahippocampal gyrus (p = 0.0034), but no significant change was observed in the any other area.

DISCUSSION

The amygdala, parahippocampal gyrus is a region where Lewy pathology occurs at the early stages of PD, with Lewy neurite aggregation at the neurites and Lewy body deposits in the cell bodies, accompanied by neuronal loss and degeneration of neurite structures [3]. Because Vic reflects neurite density, the decrease in Vic in the amygdala may indicate a decrease in neurite density in the amygdala of PD patients.

CONCLUSION

The amygdala, parahippocampal gyrus is a region where Lewy pathology occurs at the early stages of PD, with Lewy neurite aggregation at the neurites and Lewy body deposits in the cell bodies, accompanied by neuronal loss and degeneration of neurite structures [3]. Because Vic reflects neurite density, the decrease in Vic in the amygdala may indicate a decrease in neurite density in the amygdala of PD patients.

Acknowledgements

This study has received funding by a Grant-in-Aid for Scientific Research on Innovative Areas (ComprehensiveBrain Science Network) from the Ministry of Education, Culture,Sports, Science, and Technology (MEXT) of Japan and by MEXT/JSPSKAKENHI Grant Number 24591787.

References

1 Braak H, Del Tredici K, Rub U, de Vos RA, Jansen Steur EN, Braak E (2003) Staging of brain pathology related to sporadic Parkinson's disease. Neurobiol Aging 24:197-211

2 Braak H, Del Tredici K (2008) Invited Article: Nervous system pathology in sporadic Parkinson disease. Neurology 70:1916-1925

3 Kamagata K, Hatano T, Okuzumi A et al (2015) Neurite orientation dispersion and density imaging in the substantia nigra in idiopathic Parkinson disease. Eur Radiol

4 Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC (2012) NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 61:1000-1016

Figures

Figure 1 (A) Uncorrected P maps (p<0.0005). Gray matter based spatial statistics analysis demonstrated significantly decreased Vic (red–yellow voxels) in right amygdala, right putamen, right insular, right hippocampus in the PD group compared with the control group. (B) 3D Rendered version of (A) with Region of interests (ROI). (C) 3D reconstruction of Putamen, Amygdala, Temporal pole, Frontal orbital cortex, hippocampus, parahippocapmal gyrus considered in this work.

Fig. 2 Mean intracellular volume fraction (Vic) in patients (gray bars) and control subjects (white bars). ∗ Value differed significantly (P<0.0041) between patients and control subjects



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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