Detection of early changes in the parahippocampal and posterior cingulum bundles during mild cognitive impairment by using high-resolution multi-parametric diffusion tensor imaging. Issue 3 (30th March 2015)

• Record Type: Journal Article
• Authors: Ito, Kenji; Sasaki, Makoto; Takahashi, Junko; Uwano, Ikuko; Yamashita, Fumio; Higuchi, Satomi; Goodwin, Jonathan; Harada, Taisuke; Kudo, Kohsuke; Terayama, Yasuo
• Is Part Of: Psychiatry research. Volume 231:Issue 3(2015)
• Page Start: 346
• Page End: 352
• Publication Date: 2015-03-30
• Subjects: Diffusion tensor imaging -- Mild cognitive impairment -- Alzheimer׳s disease -- Parahippocampal cingulum bundle -- Posterior cingulum bundle; Psychiatry -- Periodicals; Brain -- Imaging -- Periodicals; Psychiatry -- Periodicals; Diagnostic Imaging -- Periodicals; Psychiatrie -- Périodiques; Cerveau -- Imagerie pour le diagnostic -- Périodiques; 616.890754
• DOI: 10.1016/j.pscychresns.2015.01.020
• Languages: English
• ISSNs: 0925-4927

Abstract

Abstract: We aimed to determine alterations occurring in the parahippocampal cingulum bundle (PhC) and posterior cingulum bundle (PoC) in patients with mild cognitive impairment (MCI) through analysis of high-resolution multi-parametric diffusion tensor imaging (DTI). Participants comprised 41 patients with MCI (21 AD converters [MCI-C] and 20 non-converters [MCI-NC]), 20 patients with Alzheimer׳s disease (AD), and 26 healthy elderly subjects who underwent prospective examination with high-resolution DTI. An atlas-based regions-of-interest (ROIs) method calculated fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (DA), and radial diffusivity (DR) in the PhC and PoC. For the PhC, FA values showed significant decreases, and MD and DR values showed significantly increases, in the MCI-C and AD groups compared with the healthy controls, although the MCI-C and MCI-NC groups did not differ significantly in these metrics. Conversely, none of the diffusion metrics for the PoC showed a significant difference among the MCI groups and the control groups, although there were significant differences between the AD group and control groups. High-resolution multi-parametric DTI analysis was able to detect substantial changes in diffusion anisotropy and diffusivity in the PhC of patients with MCI who were destined to convert to AD. Highlights: We examined subtle changes in the PhC and PoC of patients with MCI by using HR-DTI. Patients with MCI-NC, MCI-C, AD and controls were prospectively recruited. For the PhC, there were significant differences in the MCI-C and AD groups. For the PoC, there were significant differences between the AD and control groups. HR-DTI can detect changes in the PhC of patients with MCI who will convert to AD.