Microstructural white matter abnormalities in type 2 diabetes mellitus: A diffusion tensor imaging study

Jung Lung Hsu, Yen Ling Chen, Jyu Gang Leu, Fu Shan Jaw, Cheng Hui Lee, Yuh Feng Tsai, Chien-Yeh Hsu, Chyi Huey Bai, Alexander Leemans

Research output: Contribution to journalArticle

104 Citations (Scopus)

Abstract

This study investigated whether diffusion tensor imaging (DTI) could identify potential abnormalities in type 2 diabetes mellitus (T2DM) patients without cognitive complaints compared to healthy controls. In addition, the existence of associations between diffusion measures and clinical parameters was examined. Forty T2DM patients and 97 non-diabetic controls completed a clinical and biochemistry examination. Structural MRI scans (DTI, T1, T2, FLAIR) were subsequently acquired with a 1.5 Tesla scanner. In addition to a global DTI analysis, voxel-based analysis was performed on the fractional anisotropy (FA), mean diffusivity (MD), and axial (AD) and transverse (TD) diffusivity maps to investigate regions that exhibit (i) WM differences between patients and controls; and (ii) associations between clinical measurements and these DTI indices. There were no significant differences in age, gender, and WM hyperintensity scores derived by the conventional MRI scans between controls and T2DM patients. For the T2DM patients, however, the MD of the brain parenchyma was significantly increased compared to controls and was positively correlated with disease duration. The voxel based analyses revealed (i) a significantly decreased FA in the bilateral frontal WM compared to controls which was mainly caused by an increased TD and not a decreased AD within these regions; (ii) a significant association between disease duration and microstructural properties in several brain regions including bilateral cerebellum, temporal lobe WM, right caudate, bilateral cingulate gyrus, pons, and parahippocampal gyrus. Our findings indicate that microstructural WM abnormalities and associations with clinical measurements can be detected with DTI in T2DM patients.

Original languageEnglish
Pages (from-to)1098-1105
Number of pages8
JournalNeuroImage
Volume59
Issue number2
DOIs
Publication statusPublished - Jan 16 2012

Fingerprint

Diffusion Tensor Imaging
Type 2 Diabetes Mellitus
Anisotropy
Magnetic Resonance Imaging
Parahippocampal Gyrus
Pons
Gyrus Cinguli
Brain
Temporal Lobe
Biochemistry
Cerebellum
White Matter

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

Cite this

Hsu, J. L., Chen, Y. L., Leu, J. G., Jaw, F. S., Lee, C. H., Tsai, Y. F., ... Leemans, A. (2012). Microstructural white matter abnormalities in type 2 diabetes mellitus: A diffusion tensor imaging study. NeuroImage, 59(2), 1098-1105. https://doi.org/10.1016/j.neuroimage.2011.09.041

Microstructural white matter abnormalities in type 2 diabetes mellitus : A diffusion tensor imaging study. / Hsu, Jung Lung; Chen, Yen Ling; Leu, Jyu Gang; Jaw, Fu Shan; Lee, Cheng Hui; Tsai, Yuh Feng; Hsu, Chien-Yeh; Bai, Chyi Huey; Leemans, Alexander.

In: NeuroImage, Vol. 59, No. 2, 16.01.2012, p. 1098-1105.

Research output: Contribution to journalArticle

Hsu, JL, Chen, YL, Leu, JG, Jaw, FS, Lee, CH, Tsai, YF, Hsu, C-Y, Bai, CH & Leemans, A 2012, 'Microstructural white matter abnormalities in type 2 diabetes mellitus: A diffusion tensor imaging study', NeuroImage, vol. 59, no. 2, pp. 1098-1105. https://doi.org/10.1016/j.neuroimage.2011.09.041
Hsu, Jung Lung ; Chen, Yen Ling ; Leu, Jyu Gang ; Jaw, Fu Shan ; Lee, Cheng Hui ; Tsai, Yuh Feng ; Hsu, Chien-Yeh ; Bai, Chyi Huey ; Leemans, Alexander. / Microstructural white matter abnormalities in type 2 diabetes mellitus : A diffusion tensor imaging study. In: NeuroImage. 2012 ; Vol. 59, No. 2. pp. 1098-1105.
@article{0ff6e476333c4f4ebfb96f583d070479,
title = "Microstructural white matter abnormalities in type 2 diabetes mellitus: A diffusion tensor imaging study",
abstract = "This study investigated whether diffusion tensor imaging (DTI) could identify potential abnormalities in type 2 diabetes mellitus (T2DM) patients without cognitive complaints compared to healthy controls. In addition, the existence of associations between diffusion measures and clinical parameters was examined. Forty T2DM patients and 97 non-diabetic controls completed a clinical and biochemistry examination. Structural MRI scans (DTI, T1, T2, FLAIR) were subsequently acquired with a 1.5 Tesla scanner. In addition to a global DTI analysis, voxel-based analysis was performed on the fractional anisotropy (FA), mean diffusivity (MD), and axial (AD) and transverse (TD) diffusivity maps to investigate regions that exhibit (i) WM differences between patients and controls; and (ii) associations between clinical measurements and these DTI indices. There were no significant differences in age, gender, and WM hyperintensity scores derived by the conventional MRI scans between controls and T2DM patients. For the T2DM patients, however, the MD of the brain parenchyma was significantly increased compared to controls and was positively correlated with disease duration. The voxel based analyses revealed (i) a significantly decreased FA in the bilateral frontal WM compared to controls which was mainly caused by an increased TD and not a decreased AD within these regions; (ii) a significant association between disease duration and microstructural properties in several brain regions including bilateral cerebellum, temporal lobe WM, right caudate, bilateral cingulate gyrus, pons, and parahippocampal gyrus. Our findings indicate that microstructural WM abnormalities and associations with clinical measurements can be detected with DTI in T2DM patients.",
author = "Hsu, {Jung Lung} and Chen, {Yen Ling} and Leu, {Jyu Gang} and Jaw, {Fu Shan} and Lee, {Cheng Hui} and Tsai, {Yuh Feng} and Chien-Yeh Hsu and Bai, {Chyi Huey} and Alexander Leemans",
year = "2012",
month = "1",
day = "16",
doi = "10.1016/j.neuroimage.2011.09.041",
language = "English",
volume = "59",
pages = "1098--1105",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
number = "2",

}

TY - JOUR

T1 - Microstructural white matter abnormalities in type 2 diabetes mellitus

T2 - A diffusion tensor imaging study

AU - Hsu, Jung Lung

AU - Chen, Yen Ling

AU - Leu, Jyu Gang

AU - Jaw, Fu Shan

AU - Lee, Cheng Hui

AU - Tsai, Yuh Feng

AU - Hsu, Chien-Yeh

AU - Bai, Chyi Huey

AU - Leemans, Alexander

PY - 2012/1/16

Y1 - 2012/1/16

N2 - This study investigated whether diffusion tensor imaging (DTI) could identify potential abnormalities in type 2 diabetes mellitus (T2DM) patients without cognitive complaints compared to healthy controls. In addition, the existence of associations between diffusion measures and clinical parameters was examined. Forty T2DM patients and 97 non-diabetic controls completed a clinical and biochemistry examination. Structural MRI scans (DTI, T1, T2, FLAIR) were subsequently acquired with a 1.5 Tesla scanner. In addition to a global DTI analysis, voxel-based analysis was performed on the fractional anisotropy (FA), mean diffusivity (MD), and axial (AD) and transverse (TD) diffusivity maps to investigate regions that exhibit (i) WM differences between patients and controls; and (ii) associations between clinical measurements and these DTI indices. There were no significant differences in age, gender, and WM hyperintensity scores derived by the conventional MRI scans between controls and T2DM patients. For the T2DM patients, however, the MD of the brain parenchyma was significantly increased compared to controls and was positively correlated with disease duration. The voxel based analyses revealed (i) a significantly decreased FA in the bilateral frontal WM compared to controls which was mainly caused by an increased TD and not a decreased AD within these regions; (ii) a significant association between disease duration and microstructural properties in several brain regions including bilateral cerebellum, temporal lobe WM, right caudate, bilateral cingulate gyrus, pons, and parahippocampal gyrus. Our findings indicate that microstructural WM abnormalities and associations with clinical measurements can be detected with DTI in T2DM patients.

AB - This study investigated whether diffusion tensor imaging (DTI) could identify potential abnormalities in type 2 diabetes mellitus (T2DM) patients without cognitive complaints compared to healthy controls. In addition, the existence of associations between diffusion measures and clinical parameters was examined. Forty T2DM patients and 97 non-diabetic controls completed a clinical and biochemistry examination. Structural MRI scans (DTI, T1, T2, FLAIR) were subsequently acquired with a 1.5 Tesla scanner. In addition to a global DTI analysis, voxel-based analysis was performed on the fractional anisotropy (FA), mean diffusivity (MD), and axial (AD) and transverse (TD) diffusivity maps to investigate regions that exhibit (i) WM differences between patients and controls; and (ii) associations between clinical measurements and these DTI indices. There were no significant differences in age, gender, and WM hyperintensity scores derived by the conventional MRI scans between controls and T2DM patients. For the T2DM patients, however, the MD of the brain parenchyma was significantly increased compared to controls and was positively correlated with disease duration. The voxel based analyses revealed (i) a significantly decreased FA in the bilateral frontal WM compared to controls which was mainly caused by an increased TD and not a decreased AD within these regions; (ii) a significant association between disease duration and microstructural properties in several brain regions including bilateral cerebellum, temporal lobe WM, right caudate, bilateral cingulate gyrus, pons, and parahippocampal gyrus. Our findings indicate that microstructural WM abnormalities and associations with clinical measurements can be detected with DTI in T2DM patients.

UR - http://www.scopus.com/inward/record.url?scp=83055194303&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=83055194303&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2011.09.041

DO - 10.1016/j.neuroimage.2011.09.041

M3 - Article

C2 - 21967726

AN - SCOPUS:83055194303

VL - 59

SP - 1098

EP - 1105

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

IS - 2

ER -