Elsevier

NeuroImage

Volume 59, Issue 2, 16 January 2012, Pages 1098-1105
NeuroImage

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

https://doi.org/10.1016/j.neuroimage.2011.09.041Get rights and content

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.

Introduction

Diabetes mellitus (DM) is a common metabolic disease characterized by hyperglycemia due to the insufficient availability of, or insensitivity to, insulin. Diabetes is typically associated with structural brain abnormalities and an increased risk for stroke (Folsom et al., 1999), lacunar infarctions (Kobayashi et al., 1997), silent stroke events (Eguchi et al., 2003), and gray matter atrophy (Manschot et al., 2006, Musen et al., 2006). While the relationship between white matter (WM) hyperintensities and diabetes is still controversial, a recent systematic review on diabetes and brain imaging concluded that there is convincing evidence for an association between diabetes and cerebral atrophy and lacunar infarctions (van Harten et al., 2006). It was stated, however, that it is still unclear whether or not type 2 diabetes mellitus (T2DM) is associated with WM hyperintensities as observed with magnetic resonance imaging (MRI). With nine of the 27 WM lesion studies included in their meta-analysis, no association between diabetes and WM hyperintensities was observed in the “vascular cohorts”. By contrast, for the “outpatient cohorts”, there appeared to be a modest association between diabetes and WM hyperintensities. This uncertainty could be partly due to the insufficient sensitivity of conventional MRI modalities (e.g., T1 and T2 maps) to detect subtle brain WM changes or to assess the severity of WM hyperintensities. In the review paper of van Harten et al., 2006, it was also suggested that diffusion tensor imaging (DTI) could be a promising technique for the investigation of WM properties in diabetes patients.

DTI is a unique technique for assessing WM structural properties based on the three-dimensional anisotropic Gaussian diffusion of water molecules (Basser et al., 1994). With DTI the directionality and magnitude of random water movement in tissue can be estimated yielding several quantitative measures, such as the three principle diffusivities (i.e., the eigenvalues of the diffusion tensor: λ1 > λ2 > λ3), mean diffusivity (MD = 1 + λ2 + λ3] / 3), transverse diffusivity (TD = 2 + λ3] / 2), axial diffusivity (AD = λ1), and the degree of diffusion anisotropy (e.g., the fractional anisotropy: FA) (Pierpaoli and Basser, 1996). Without barriers, water molecules move uniformly in all directions, which results in isotropic diffusion. By contrast, in the presence of barriers, such as cell membranes, nerve fibers, or myelin sheets, the diffusion rate is typically larger in one direction than in another, which is then referred to as anisotropic diffusion (Beaulieu, 2002). Being quantitative in nature, these DTI based measures have been shown to be more sensitive to tissue abnormalities than the typical visual evaluation of WM hyperintensities observed in conventional MRI data (Della Nave et al., 2007, Van Hecke et al., 2008a). To date, DTI studies have revealed WM alterations through measurements of decreased FA and/or increased MD in a variety of conditions, including aging (Hsu et al., 2008, Sullivan and Pfefferbaum, 2007, Van Hecke et al., 2008a), multiple sclerosis (Patel et al., 2007), schizophrenia (e.g., Carpenter et al., 2008), traumatic brain injury (e.g., Caeyenberghs et al., 2010a, Caeyenberghs et al., 2010b), amyotrophic lateral sclerosis (e.g., Sage et al., 2009) and Alzheimer's disease (e.g., Stahl et al., 2007). For an in-depth discussion of DTI, the interested reader is referred to a recent review of Tournier et al. (2011).

Only a few studies have been published that use DTI to investigate WM properties in DM patients. Kodl et al. (2008) demonstrated that DTI can detect microstructural WM abnormalities in subjects with long-standing type 1 DM and they showed that poor performance on selected neurocognitive tests correlated with reduced WM FA. More recently, another study examined the emotional and declarative memory impairment and associated WM microstructural properties in 24 middle-aged and elderly patients with T2DM but without any obvious vascular pathology or psychiatric disorder (Yau et al., 2009). Their findings suggest that T2DM patients show diffuse and predominantly frontal and temporal WM microstructural abnormalities, with extensive involvement of the temporal stem. Also the FA of the temporal stem was found to be associated with immediate memory performance.

In this work, we studied the WM microstructural organization in a well-controlled and large (n = 40) cohort of non-hypertensive T2DM patients who do not exhibit significant cognitive deficits. In particular, we investigated whether DTI is able to detect differences in diffusion properties (i.e., FA, MD, TD, and AD) between these patients and healthy controls even when the conventional MRI data of the T2DM patients do not show any significant abnormalities. In addition, we performed a battery of medical tests to examine potential relationships between the DTI indices and clinical parameters. Our results demonstrate that, compared with age-matched non-diabetes controls, T2DM patients show several regions with abnormal diffusion values reflecting DM related changes in microstructural tissue organization. To the best of our knowledge, this is the largest DTI based T2DM study to date (40 patients vs. 97 controls) and the first one that also investigates both regional and global diffusivity measures, including AD and TD, providing a more detailed picture of the underlying microstructural tissue organization in T2DM patients.

Section snippets

Subjects

Forty-two middle-aged T2DM patients (27M/15F) and 100 non-diabetic non-hypertensive controls (54M/46F) were examined by a collaborating endocrinologist based on the guideline criteria of “The American Diabetes Association: clinical practice recommendations 1996”. The patients were selected from our community-based prospective cohort study, which investigates the cardio- and cerebro-vascular risk factors in the general population, or were recruited from a general health screening program. The

Descriptive statistics of clinical measures

Clinical and demographic characteristics of the T2DM patients and the age-matched healthy controls are shown in Table 2. There is no significant difference in age, gender, total cholesterol, LDL, and total ARWMC scores between both groups (assessed with two-tailed independent sample t-tests and Chi-square tests). However, diabetic patients have higher levels of BMI, systolic and diastolic BP, fasting glucose, HbA1c, and triglyceride; and lower HDL levels than controls. As shown in Table 3, for

Discussion

In this investigation, we demonstrated significant differences in the microstructure of brain tissue, as determined by global and voxel based analyses of FA, MD, RD, and AD measures, between T2DM patients and healthy controls. More specifically, we observed a regionally decreased FA in T2DM patients due to a significantly increased TD (with no significant decrease in AD). In addition, for both the global and regional analysis, the observed increase in MD for T2DM patients compared to healthy

Author contributions

Jung-Lung Hsu: wrote manuscript, designed analysis, investigated data, performed analyses.

Yen-Ling Chen: investigated data.

Chyi-Huey Bai: contributed to discussion.

Fu-Shan Jaw: contributed to discussion.

Cheng-Hui Lee: investigated data.

Yuh-Feng Tsai: investigated data.

Chien-Yeh Hsu: contributed to discussion.

Jyu-Gang Leu: investigated data.

Alexander Leemans: contributed to discussion, designed analysis, revised manuscript.

Acknowledgments

This work was sponsored by the Shin Kong Wu Ho-Su Memorial Hospital (SKH-8302-98-DR-19) and the project Care4Me (Cooperative Advanced REsearch for Medical Efficiency) in the framework of the EU research program ITEA (Information Technology for European Advancement).

References (57)

  • C. Lebel et al.

    Microstructural maturation of the human brain from childhood to adulthood

    Neuroimage

    (2008)
  • C. Pierpaoli et al.

    Water diffusion changes in Wallerian degeneration and their dependence on white matter architecture

    Neuroimage

    (2001)
  • D.H. Salat et al.

    Age-related alterations in white matter microstructure measured by diffusion tensor imaging

    Neurobiol. Aging

    (2005)
  • S.K. Song et al.

    Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water

    Neuroimage

    (2002)
  • S.K. Song et al.

    Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia

    Neuroimage

    (2003)
  • W. Van Hecke et al.

    On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain

    Neuroimage

    (2008)
  • S.B. Vos et al.

    Partial volume effect as a hidden covariate in DTI analyses

    Neuroimage

    (2011)
  • P.L. Yau et al.

    Emotional and neutral declarative memory impairments and associated white matter microstructural abnormalities in adults with type 2 diabetes

    Psychiatry Res.

    (2009)
  • A.L. Alexander et al.

    Analysis of partial volume effects in diffusion-tensor MRI

    Magn. Reson. Med.

    (2001)
  • D.C. Alexander et al.

    Spatial transformations of diffusion tensor magnetic resonance images

    IEEE Trans. Med. Imaging

    (2001)
  • C. Beaulieu

    The basis of anisotropic water diffusion in the nervous system — a technical review

    NMR Biomed.

    (2002)
  • K. Caeyenberghs et al.

    Brain–behavior relationships in young traumatic brain injury patients: DTI metrics are highly correlated with postural control

    Hum. Brain Mapp.

    (2010)
  • D.M. Carpenter et al.

    Temporal characteristics of tract-specific anisotropy abnormalities in schizophrenia

    Neuroreport

    (2008)
  • R. Della Nave et al.

    Whole-brain histogram and voxel-based analyses of diffusion tensor imaging in patients with leukoaraiosis: correlation with motor and cognitive impairment

    AJNR Am. J. Neuroradiol.

    (2007)
  • K. Eguchi et al.

    Greater impact of coexistence of hypertension and diabetes on silent cerebral infarcts

    Stroke

    (2003)
  • A.R. Folsom et al.

    Prospective associations of fasting insulin, body fat distribution, and diabetes with risk of ischemic stroke. The Atherosclerosis Risk in Communities (ARIC) Study Investigators

    Diabetes Care

    (1999)
  • S.M. Gold et al.

    Hippocampal damage and memory impairments as possible early brain complications of type 2 diabetes

    Diabetologia

    (2007)
  • J.P. Hernandez-Fonseca et al.

    Structural and ultrastructural analysis of cerebral cortex, cerebellum, and hypothalamus from diabetic rats

    Exp. Diabetes Res.

    (2009)
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