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Brain network imaging findings in multiple system atrophy with cognitive decline

K. Hara, H. Watanabe, E. Bagarinao, K. Kawabata, N. Yoneyama, R. Ohdake, K. Imai, M. Masuda, T. Yokoi, T. Tsuboi, M. Ito, N. Atsuta, M. Katsuno, G. Sobue (Nagoya, Japan)

Meeting: 2016 International Congress

Abstract Number: 1154

Keywords: Magnetic resonance imaging(MRI)

Session Information

Date: Wednesday, June 22, 2016

Session Title: Neuroimaging (non-PD)

Session Time: 12:00pm-1:30pm

Location: Exhibit Hall located in Hall B, Level 2

Objective: In this study we examined the voxel-based morphometry (VBM), diffusion tensor imaging (DTI), and resting functional MRI (rsfMRI) of the multiple system atrophy (MSA) patients and analyzed the relationship between cognitive decline and following indices: cortical involvement and functional and anatomical brain networks.

Background: It had been recognized that patients with MSA often show cognitive decline during course of the illness. However pathophysiological background of cognitive decline of MSA is still unclear.

Methods: We evaluated 27 cases with MSA consisting of 15 MSA with predominant cerebellar ataxia (MSA-C) and 12 MSA with predominant parkinsonism (MSA-P) as well as age- and gender-matched 27 healthy control (HC) subjects. The study was approved by the ethics committee of the Nagoya University Graduate School of Medicine, and all subjects gave their written informed consent to their participation in the study. All patients were assessed by Addenbrooke’s Cognitive Examination Revised (ACE-R). Fourteen MSA cases who showed ACE-R score more than 88 were classified as normal cognition (MSA-NC) and 13 cases who showed less than or equal to 88 were as cognitive decline (MSA-CD). Subsequently they underwent 3T MRI including VBM, DTI, and rsfMRI. We performed independent component analysis (ICA) and tract-based spatial statistics (TBSS) to investigate a whole-brain anatomical network using rsfMRI and DTI data (FDR, P <0.05).

Results: Patients with MSA-C and those with MSA-P showed cerebellar atrophy in VBM as compared to HC. ICA showed limited abnormalities in salience network and dorsal default mode network. On the other hand, TBSS showed extensive white matter tracts involvement predominantly in the frontal lobe in both patients with MSA-C and MSA-P as compared to HC. Interestingly, patients with MSA-CD showed widespread and severe white matter involvement as compared to those with MSA-NC and HC, but MSA-NC did not show these supratentorial white matter abnormalities.

Conclusions: In MSA, early cognitive decline appears to be associated with white matter tract involvement, but not with cerebral atrophy or functional network failure.

To cite this abstract in AMA style:

K. Hara, H. Watanabe, E. Bagarinao, K. Kawabata, N. Yoneyama, R. Ohdake, K. Imai, M. Masuda, T. Yokoi, T. Tsuboi, M. Ito, N. Atsuta, M. Katsuno, G. Sobue. Brain network imaging findings in multiple system atrophy with cognitive decline [abstract]. Mov Disord. 2016; 31 (suppl 2). https://www.mdsabstracts.org/abstract/brain-network-imaging-findings-in-multiple-system-atrophy-with-cognitive-decline/. Accessed May 14, 2025.
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MDS Abstracts - https://www.mdsabstracts.org/abstract/brain-network-imaging-findings-in-multiple-system-atrophy-with-cognitive-decline/

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