Complex network structure in dementia: a graph theoretical analysis.

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K09944
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Radiation science
• Research Institution: Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology
• Principal Investigator: Shimoji Keigo 地方独立行政法人東京都健康長寿医療センター(東京都健康長寿医療センター研究所), 東京都健康長寿医療センター研究所, 研究員 (20348931)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: MRI / brain / diffusion tensor imaging

Outline of Final Research Achievements

Complex network analysis using graph theory was performed using both 3D-T1 weighted images and diffusion tensor images. In complex network analysis, we first set the region of interest in the whole brain and perform diffusion tensor tractography to weigh the strength of binding between regions of interest and analyze the strength of binding between regions of interest using graph theory. We considered the whole brain as one complex network and investigated whether there is a disease specific network characteristic. In parallel with the analysis of network characteristics, we also examined the brain microstructure by q-space imaging (QSI). In the study by QSI, the full width at half maximum (dFWH) was dominantly higher as the neutral fat was higher.

Free Research Field

放射線科学