Meeting Banner
Abstract #2280

Diffusion and structural MRI as potential biomarkers to reflect correlation with plasma biomarkers in nondemented Parkinson’s disease

Chih-Chien Tsai1, Chun-Chao Huang2, Pei-Hao Chen3, Hsin-Fan Chiang2, Cheng‑Chih Hsieh2, Ting-Lin Chen2, Wei-Hsin Liao2, Yao-Liang Chen4, and Jiun-Jie Wang5
1Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan, 2Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan, 3Department of Neurology, MacKay Memorial Hospital, Taipei, Taiwan, 4Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan, 5Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan

Synopsis

Keywords: Parkinson's Disease, Diffusion Tensor ImagingParkinson’s disease (PD) is a progressive neurodegenerative disease with motor dysfunction and cognitive impairments frequently. Previous studies indicated that diffusion MRI could detect white matter alteration in the brain, which can be correlated with disease severity. We use diffusion MRI to investigate the relationship between cognitive functions and these plasma biomarkers. Our study showed that the involved regions might play important roles in early cognitive decline as related to the pathological deposition of the respective plasma biomarkers. This observation might help to elucidate the early pathological change of the brain contributing to different cognitive declines in PD patients.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords