Neurite orientation dispersion and density imaging of the nigrostriatal pathway in Parkinson's disease: Retrograde degeneration observed by tract-profile analysis

Andica, Christina; Kamagata, Koji; Hatano, Taku; Okuzumi, Ayami; Saito, Asami; Nakazawa, Masaharu; Ueda, Ryo; Motoi, Yumiko; Kamiya, Kazutaka; Suzuki, Michitaka; Hori, Masaaki; Kumamaru, Kanako Kunishima; Hattori, Nobutaka; Aoki, Shigeki

doi:10.1016/j.parkreldis.2018.02.046

Cited by 50 publications

(56 citation statements)

References 32 publications

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“…In the present study, Viso and FW in the posterior substantia nigra are the only diffusion measures that differed in PD relative to healthy control subjects, indicating that substantia nigra differences are consistent and highly replicable across studies implementing multicompartmental models (Burciu et al, ; Guttuso Jr. et al, ; Ofori et al, ; Ofori et al, ; Planetta et al, ; Yang et al, ). Studies implementing the NODDI model in PD have shown reduced Vic in the substantia nigra (Kamagata et al, ), and reduced Vic along the pathway in which seeds are placed in the substantia nigra and globus pallidus (Andica et al, ). In a study using automated analysis of many regions (not including substantia nigra though), the authors found increases in Viso in the left and right caudate, and left putamen (Kamagata et al, ).…”

Section: Discussionmentioning

confidence: 99%

Neurite orientation dispersion and density imaging (NODDI) and free‐water imaging in Parkinsonism

Mitchell

Archer

Chu

et al. 2019

Human Brain Mapping

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Neurite orientation dispersion and density imaging (NODDI) uses a three‐compartment model to probe brain tissue microstructure, whereas free‐water (FW) imaging models two‐compartments. It is unknown if NODDI detects more disease‐specific effects related to neurodegeneration in Parkinson's disease (PD) and atypical Parkinsonism. We acquired multi‐ and single‐shell diffusion imaging at 3 Tesla across two sites. NODDI (using multi‐shell; isotropic volume [Viso]; intracellular volume [Vic]; orientation dispersion [ODI]) and FW imaging (using single‐shell; FW; free‐water corrected fractional anisotropy [FAt]) were compared with 44 PD, 21 multiple system atrophy Parkinsonian variant (MSAp), 26 progressive supranuclear palsy (PSP), and 24 healthy control subjects in the basal ganglia, midbrain/thalamus, cerebellum, and corpus callosum. There was elevated Viso in posterior substantia nigra across Parkinsonisms, and Viso, Vic, and ODI were altered in MSAp and PSP in the striatum, globus pallidus, midbrain, thalamus, cerebellum, and corpus callosum relative to controls. The mean effect size across regions for Viso was 0.163, ODI 0.131, Vic 0.122, FW 0.359, and FAt 0.125, with extracellular compartments having the greatest effect size. A key question addressed was if these techniques discriminate PD and atypical Parkinsonism. Both NODDI (AUC: 0.945) and FW imaging (AUC: 0.969) had high accuracy, with no significant difference between models. This study provides new evidence that NODDI and FW imaging offer similar discriminability between PD and atypical Parkinsonism, and FW had higher effect sizes for detecting Parkinsonism within regions across the basal ganglia and cerebellum.

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Section: Discussionmentioning

confidence: 99%

Neurite orientation dispersion and density imaging (NODDI) and free‐water imaging in Parkinsonism

Mitchell

Archer

Chu

et al. 2019

Human Brain Mapping

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“…Subsequently, the same group also reported detection of gray matter abnormalities by NODDI and its diagnostic accuracy, as well as retrograde degeneration of the nigrostriatal pathway in patients with Parkinson's disease. 22,23 Thus, NODDI may prove to be useful in the diagnosis and monitoring of Parkinson's disease. Especially, the potential of early detection has been suggested.…”

Section: Parkinson's Diseasementioning

confidence: 99%

<p>Neurite orientation and dispersion density imaging: clinical utility, efficacy, and role in therapy</p>

Sone¹

2019

RMI

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In the field of diffusion magnetic resonance imaging (MRI) for neuroimaging, white matter tracts have traditionally been analyzed using diffusion tensor imaging (DTI) measures, such as fractional anisotropy. However, recent advances in diffusion MRI have provided further information on brain microstructures using multi-shell protocols of diffusion MRI. Neurite orientation dispersion and density imaging (NODDI) is one such emerging advanced diffusion MRI method that enables investigation of the neurite density and neurite orientation dispersion of brain microstructures. NODDI was developed as a practical and clinically feasible diffusion MRI technique to evaluate the microstructural complexity of dendrites and axons. This review shed light on recent studies on the use of NODDI in human brain. Indeed, a growing number of studies are using NODDI to examine neurological and psychiatric disorders, with most reporting its clinical utility. The time has thus come, for us to seriously consider the clinical use of NODDI.

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“…NODDI metrics have been identified as useful diagnostic biomarkers for revealing microstructural changes in the brains of patients with Alzheimer's disease [10], Parkinson's disease [7,11,12], stroke [13], and multiple sclerosis [14,15]. Recently, NODDI has been used to differentiate brain tumors [16] and explore white matter (WM) microstructure in very preterm-born children [17].…”

Section: Introductionmentioning

confidence: 99%

Scan–rescan and inter-vendor reproducibility of neurite orientation dispersion and density imaging metrics

et al. 2019

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Purpose The reproducibility of neurite orientation dispersion and density imaging (NODDI) metrics in the human brain has not been explored across different magnetic resonance (MR) scanners from different vendors. This study aimed to evaluate the scanrescan and inter-vendor reproducibility of NODDI metrics in white and gray matter of healthy subjects using two 3-T MR scanners from two vendors. Methods Ten healthy subjects (7 males; mean age 30 ± 7 years, range 23-37 years) were included in the study. Whole-brain diffusion-weighted imaging was performed with b-values of 1000 and 2000 s/mm 2 using two 3-T MR scanners from two different vendors. Automatic extraction of the region of interest was performed to obtain NODDI metrics for whole and localized areas of white and gray matter. The coefficient of variation (CoV) and intraclass correlation coefficient (ICC) were calculated to assess the scan-rescan and inter-vendor reproducibilities of NODDI metrics. Results The scan-rescan and inter-vendor reproducibility of NODDI metrics (intracellular volume fraction and orientation dispersion index) were comparable with those of diffusion tensor imaging (DTI) metrics. However, the inter-vendor reproducibilities of NODDI (CoV = 2.3-14%) were lower than the scan-rescan reproducibility (CoV: scanner A = 0.8-3.8%; scanner B = 0.8-2.6%). Compared with the finding of DTI metrics, the reproducibility of NODDI metrics was lower in white matter and higher in gray matter. Conclusion The lower inter-vendor reproducibility of NODDI in some brain regions indicates that data acquired from different MRI scanners should be carefully interpreted.

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Neurite orientation dispersion and density imaging of the nigrostriatal pathway in Parkinson's disease: Retrograde degeneration observed by tract-profile analysis

Abstract: NODDI can be used to identify retrograde degeneration of the NSP in PD patients and might be useful for monitoring the disease progression of PD.

Cited by 50 publications

References 32 publications

Neurite orientation dispersion and density imaging (NODDI) and free‐water imaging in Parkinsonism

Neurite orientation dispersion and density imaging (NODDI) and free‐water imaging in Parkinsonism

<p>Neurite orientation and dispersion density imaging: clinical utility, efficacy, and role in therapy</p>

Scan–rescan and inter-vendor reproducibility of neurite orientation dispersion and density imaging metrics

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