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Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS)

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Abstract

Purpose

This study aimed to evaluate the along the perivascular space (ALPS) index based on the diffusion tensor image ALPS (DTI-ALPS) in corticobasal degeneration with corticobasal syndrome (CBD-CBS) and investigate its correlation with motor and cognitive functions.

Materials and methods

The data of 21 patients with CBD-CBS and 17 healthy controls (HCs) were obtained from the 4-Repeat Tauopathy Neuroimaging Initiative and the Frontotemporal Lobar Degeneration Neuroimaging Initiative databases. Diffusion magnetic resonance imaging was performed using a 3-Tesla MRI scanner. The ALPS index based on DTI-ALPS was automatically calculated after preprocessing. The ALPS index was compared between the CBD-CBS and HC groups via a general linear model analysis, with covariates such as age, sex, years of education, and intracranial volume (ICV). Furthermore, to confirm the relation between the ALPS index and the motor and cognitive score in CBD-CBS, the partial Spearman’s rank correlation coefficient was calculated with covariates such as age, sex, years of education, and ICV. A p value of < 0.05 was considered as statistically significant in all statistical analyses.

Results

The ALPS index of CBD-CBS was significantly lower than that of HC (Cohen’s d =  − 1.53, p < 0.005). Moreover, the ALPS index had a significant positive correlation with the mini mental state evaluation score (rs = 0.65, p < 0.005) and a significant negative correlation with the unified Parkinson’s Disease Rating Scale III score (rs =  − 0.75, p < 0.001).

Conclusion

The ALPS index of patients with CBD-CBS, which is significantly lower than that of HCs, is significantly associated with motor and cognitive functions.

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Acknowledgements

Data used in the preparation of this manuscript were obtained from the 4-Repeat Neuroimaging Initiative (4RTNI) database and the Frontotemporal Lobar Degeneration Neuroimaging Initiative (FTLDNI) (http://4rtni-ftldni.ini.usc.edu/). 4RTNI was launched in early 2011 and is funded through the National Institute of Aging and The Tau Research Consortium. The primary goal of 4RTNI is to identify neuroimaging and biomarker indicators for disease progression in the 4-repeat tauopathy neurodegenerative diseases, progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). FTLDNI is also founded through the National Institute of Aging, and started in 2010. The primary goals of FTLDNI are to identify neuroimaging modalities and methods of analysis for tracking frontotemporal lobar degeneration (FTLD) and to assess the value of imaging versus other biomarkers in diagnostic roles. The Principal Investigator of 4RTNI is Dr. Adam Boxer, MD, PhD, at the University of California, San Francisco. The data is the result of collaborative efforts at four sites in North America. For more information on 4RTNI, please visit: http://memory.ucsf.edu/research/studies/4rtni

The Principal Investigator of NIFD is Dr. Howard Rosen, MD at the University of California, San Francisco. The data is the result of collaborative efforts at three sites in North America. For up-to-date information on participation and protocol, please visit: http://memory.ucsf.edu/research/studies/nifd

Funding

Data collection and sharing for this project was funded by the 4-Repeat Tauopathy Neuroimaging Initiative (4RTNI) (National Institutes of Health Grant R01 AG038791) and through generous contributions from the Tau Research Consortium. The study was coordinated through the Memory and Aging Center, University of California, San Francisco. 4RTNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. Data collection and sharing for this project was funded by the Frontotemporal Lobar Degeneration Neuroimaging Initiative (National Institutes of Health Grant R01 AG032306). The study is coordinated through the University of California, San Francisco, Memory and Aging Center. FTLDNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. This study was partially supported by the Juntendo Research Branding Project, JSPS KAKENHI (grant nos. 16H06280, 18K18164, 18H02772, 19K17244, 21K07690, 21K12153, 22H04926, 23H02865), a Grant-in-Aid for Special Research in Subsidies for ordinary expenses of private schools from The Promotion and Mutual Aid Corporation for Private Schools of Japan, the Brain/MINDS Beyond program (grant no. JP19dm0307101) of the Japan Agency for Medical Research and Development (AMED), and AMED under grant number JP21wm0425006.

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Authors and Affiliations

  1. Department of Radiology, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyoku, Tokyo, 113-8421, Japan

    Yuya Saito, Koji Kamagata, Christina Andica, Wataru Uchida, Kaito Takabayashi, Seina Yoshida, Moto Nakaya, Yuya Tanaka, Satoru Kamio, Kanako Sato, Mitsuo Nishizawa, Toshiaki Akashi, Keigo Shimoji, Akihiko Wada & Shigeki Aoki

  2. Faculty of Health Data Science, Juntendo University, Chiba, Japan

    Christina Andica, Mitsuo Nishizawa & Keigo Shimoji

  3. Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan

    Seina Yoshida

  4. Department of Radiology, The University of Tokyo, Tokyo, Japan

    Moto Nakaya, Yuya Tanaka & Satoru Kamio

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  1. Yuya Saito
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Contributions

YS conceived the presented idea. YS developed the theory and investigated the report on this research.

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Correspondence to Koji Kamagata.

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This article used open-source data from the 4RTNI and FTLDNI projects (is available at http://4rtni-ftldni.ini.usc.edu/) and did not involve studies with human participants or animals performed by the authors at our institution.

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Saito, Y., Kamagata, K., Andica, C. et al. Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS). Jpn J Radiol 41, 1226–1235 (2023). https://doi.org/10.1007/s11604-023-01454-7

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