Free-Water Imaging in White and Gray Matter in Parkinson’s Disease

Andica, Christina; Kamagata, Koji; Hatano, Taku; Saito, Asami; Uchida, Wataru; Ogawa, Takashi; Takeshige‐Amano, Haruka; Zalesky, Andrew; Wada, Akihiko; Suzuki, Michitaka; Hagiwara, Akifumi; Irie, Ryusuke; Hori, Masaaki; Kumamaru, Kanako Kunishima; Oyama, Genko; Shimo, Yashushi; Umemura, Atsushi; Pantelis, Christos; Aoki, Shigeki

doi:10.3390/cells8080839

Cited by 49 publications

(61 citation statements)

References 57 publications

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“…The author assumed that these finding are in line with the fact that neuroinflammation precedes axonal degeneration in PD. 30 Patients with PD showed higher MD T , AD T , and FW in GM areas corresponding to Braak stage IV, while there was no significant difference in conventional DTI measures (Fig. 5).…”

Section: Dki In Pdmentioning

confidence: 85%

“…Importantly, the FW map obtained with bi-tensor DTI and NODDI may be used as a biomarker of neuroinflammation. 30,31,39 The role of neuroinflammation in neurodegeneration must also be fully elucidated, since proinflammatory agents have been widely detected in patients with neurodegenerative diseases. 101 Furthermore, NODDI may provide biomarkers of neurite density and orientation dispersion.…”

Section: Discussionmentioning

confidence: 99%

“…8 Another potential advantage is the extraction of an FW map that might be used as a biomarker of neuroinflammation. 30,31 Unfortunately, it is not feasible to histologically confirm FW as a marker of neuroinflammation, as it is an active physiological process that is not observed in fixed samples. 32 However, a recent study has demonstrated the correlation between FW obtained using bitensor DTI and positron emission tomography (PET) imaging with 18-kDa translocator protein-binding ligands, a measure of neuroinflammation.…”

Section: Diffusion Mri Techniquesmentioning

confidence: 99%

“…This suggests that the FW imaging indices are more sensitive for detection of GM abnormalities in patients with PD. 30 NODDI IN PD. PD patients were shown to exhibit decreased NDI in the contralateral SN pars compacta and putamen compared with healthy controls.…”

Section: Dki In Pdmentioning

confidence: 99%

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MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging

Andica

Kamagata

Hatano

et al. 2019

Magnetic Resonance Imaging

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The incidence of neurodegenerative diseases has shown an increasing trend. These conditions typically cause progressive functional disability. Identification of robust biomarkers of neurodegenerative diseases is a key imperative to facilitate early identification of the pathological features and to foster a better understanding of the pathogenetic mechanisms of individual diseases. Diffusion tensor imaging (DTI) is the most widely used diffusion MRI technique for assessment of neurodegenerative diseases. The DTI parameters are promising biomarkers for evaluation of microstructural changes; however, some limitations of DTI restrict its wider clinical use. New diffusion MRI techniques, such as diffusion kurtosis imaging (DKI), bi-tensor DTI, and neurite orientation density and dispersion imaging (NODDI) have been demonstrated to provide value addition to DTI for evaluation of neurodegenerative diseases. In this review article, we summarize the key technical aspects and provide an overview of the current state of knowledge regarding the role of DKI, bi-tensor DTI, and NODDI as biomarkers of microstructural changes in representative neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease. Level of Evidence: 5 Technical Efficacy Stage: 2

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Section: Dki In Pdmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Section: Diffusion Mri Techniquesmentioning

confidence: 99%

Section: Dki In Pdmentioning

confidence: 99%

See 2 more Smart Citations

MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging

Andica

Kamagata

Hatano

et al. 2019

Magnetic Resonance Imaging

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“…Although this appears to contradict previous reports of smaller MK in patients ( Kamagata et al, 2013 , 2014 ), it may instead indicate that the increase of K iso and decrease of K aniso have different time trajectories during disease progression. If the increase of K iso is related to early neuroinflammation and the decrease of K aniso represents the subsequent degeneration, as speculated by Andica et al (2019a) , MK may possibly have a non-monotonical trajectory, with an initial increase followed by decrease, assuming constant OP (Eq. 12).…”

Section: Discussionmentioning

confidence: 99%

Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding

et al. 2020

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Microstructure imaging by means of multidimensional diffusion encoding is increasingly applied in clinical research, with expectations that it yields a parameter that better correlates with clinical disability than current methods based on single diffusion encoding. Under the assumption that diffusion within a voxel can be well described by a collection of diffusion tensors, several parameters of this diffusion tensor distribution can be derived, including mean size, variance of sizes, orientational dispersion, and microscopic anisotropy. The information provided by multidimensional diffusion encoding also enables us to decompose the sources of the conventional fractional anisotropy and mean kurtosis. In this study, we explored the utility of the diffusion tensor distribution approach for characterizing white-matter degeneration in aging and in Parkinson disease by using double diffusion encoding. Data from 23 healthy older subjects and 27 patients with Parkinson disease were analyzed. Advanced age was associated with greater mean size and size variances, as well as smaller microscopic anisotropy. By analyzing the parameters underlying diffusion kurtosis, we found that the reductions of kurtosis in aging and Parkinson disease reported in the literature are likely driven by the reduction in microscopic anisotropy. Furthermore, microscopic anisotropy correlated with the severity of motor impairment in the patients with Parkinson disease. The present results support the use of multidimensional diffusion encoding in clinical studies and are encouraging for its future clinical implementation.

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Relationship Between Microstructural Alterations and Cognitive Decline After Whole‐Brain Radiation Therapy for Brain Metastases: An Exploratory Whole‐Brain MR Analysis Based on Neurite Orientation Dispersion and Density Imaging

Zhou

Xie

et al. 2023

Magnetic Resonance Imaging

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BackgroundCognitive impairment frequently occurs in patients with brain metastases (BM) after whole‐brain radiotherapy (WBRT). It is crucial to explore the underlying mechanisms of cognitive impairment in BM patients receiving WBRT.PurposeTo detect brain microstructural alterations in patients after WBRT by neurite orientation dispersion and density imaging (NODDI), and evaluate the performance of microstructural alterations in predicting cognitive impairment.Study TypeProspective.PopulationTwenty‐six patients (seven female; mean age, 60.9 years).Field Strength/Sequence3‐T, multi‐shell diffusion‐weighted single‐shot echo‐planar sequence. Three‐dimensional magnetization‐prepared rapid acquisition with gradient echo sequence.AssessmentMini‐mental state examination (MMSE) evaluations were conducted prior to, following, 1 and 3 months after WBRT. The diffusion data were collected twice, 1 week before and 1 week after WBRT. NODDI analysis was conducted to assess microstructural alterations in whole brain (orientation dispersion index, neurite density index, volume fraction of isotropic water molecules). Reliable change indices (RCI) of MMSE were used to measure cognitive decline. The performance of support vector machine models based on NODDI parameters and clinical features (prednisone usage, tumor volume, etc.) in predicting MMSE‐RCI was evaluated.Statistical TestsPaired t‐test to assess alterations of NODDI measures and MMSE during follow‐up. Statistical significance level of P‐value <0.05.ResultsSignificantly decreased MMSE score was found at 3 months after WBRT. After WBRT, corpus callosum, medial prefrontal cortex, limbic lobe, occipital lobe, parietal lobe, putamen, globus pallidus lentiform, and thalamus demonstrated damage in NODDI parameters. The predicted MMSE‐RCI based on NODDI features was significantly associated with the measured MMSE‐RCI at 1 month (R = 0.573; P = 0.003) and 3 months (R = 0.687; P < 0.0001) after WBRT.Data ConclusionMicrostructural alterations in several brain regions including the middle prefrontal and limbic cortexes were observed in patients with BM following WBRT, which may contribute to subsequent cognitive decline.Evidence Level2Technical EfficacyStage 2

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Free-Water Imaging in White and Gray Matter in Parkinson’s Disease

Cited by 49 publications

References 57 publications

MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging

MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging

Brain White-Matter Degeneration Due to Aging and Parkinson Disease as Revealed by Double Diffusion Encoding

Relationship Between Microstructural Alterations and Cognitive Decline After Whole‐Brain Radiation Therapy for Brain Metastases: An Exploratory Whole‐Brain MR Analysis Based on Neurite Orientation Dispersion and Density Imaging

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