Mapping the brain in type II diabetes: Voxel-based morphometry using DARTEL

Chen, Zhiye; Li, Lin; Sun, Jie; Ma, Lin

doi:10.1016/j.ejrad.2011.04.025

Cited by 89 publications

(101 citation statements)

References 40 publications

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“…Firstly, magnetic field strength of MRI scanner we used was 3.0 T, instead of 1.5 T as used in his study. Secondly, the mean age of patients in our study was 61.2±7.8 years, which was younger than that of These results were different from the previous VBM study, 7 where no volume change in the occipital cortex was detected. Therefore, our result suggected the cortical thickness analysis could detect subtle cortical changes in T2DM.…”

Section: Discussioncontrasting

confidence: 55%

“…This result is consistent with the previous studies. 7,27 It is reasonable to consider that bilateral temporal cortices are the major targeted regions of injury This study is a cross-sectional study and the sample size is relatively small, which may limit the strength of our results. Pathological evidence is needed in future, and special attention should be paid to the thickening clusters in longitudinal study.…”

Section: Discussionmentioning

confidence: 99%

“…A study using VBM has demonstrated the atrophy of gray and white matter in the right temporal lobe in patients with T2DM. 7 Although VBM can be used in detecting subtle gray matter volume changes over the whole brain, it is not an ideal technique for the delineation of cortical structure, because it is a kind of statistical method at voxel level rather than a measurement of the cortical thickness.…”

mentioning

confidence: 99%

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Abnormal Alterations of Cortical Thickness in 16 Patients with Type 2 Diabetes Mellitus: A Pilot MRI Study△

Chen

Zang

et al. 2017

Chinese Medical Sciences Journal

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Objective The aim of this study is to investigate the cerebral cortical thickness changes in type 2 diabetes mellitus (T2DM) using a whole brain cortical thickness mapping system based on brain magnetic resonance imaging (MRI).Methods High resolution three-dimensional T1-weighted fast spoiled gradient recalled echo MR images were obtained from 16 patients with T2DM, as well as from 16 normal controls. The whole brain cortical thickness maps were generated, and the cortical thickness of each brain region was calculated according to gyral based regions of interest (ROI) using an automated labeling system by the Freesurfer software. We compared mean cortical thickness at each brain region by the analysis of covariance with age and sex as covariates. The regional difference of the cortical thickness over the whole brain was compared by the analysis of surface-based cortical thickness.Results Mean cortical thicknesses analysis showed bilateral cerebrum in the patients with T2DM (left: 2.52±0.07 mm; right: 2.51±0.08 mm) were significant thinner than those in the normal controls (left: 2.56±0.09 mm; right: 2.56±0.09 mm) (both P<0.05). Regional cortical thinning in T2DM was demonstrated in the paracentral lobule, postcentral gyrus, lateral occipital gyrus, lingual gyrus, precuneus, superior temporal gyrus, middle temporal gyrus, inferior temporal gyrus and posterior cingulate gyrus, compared to the normal controls. The cortical thickness of left middle cingulate and right inferior temporal gyrus were negatively correlated with the disease course.Conclusion A widespread cortical thinning was revealed in patients with T2DM by the analysis of brain cortical thickness on MR. Our finding supports the idea that T2DM could lead to subtle diabetic brain structural changes.Chin Med Sci J 2017; 32(2):75-82.

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Section: Discussioncontrasting

confidence: 55%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Abnormal Alterations of Cortical Thickness in 16 Patients with Type 2 Diabetes Mellitus: A Pilot MRI Study△

Chen

Zang

et al. 2017

Chinese Medical Sciences Journal

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“…When we loosed the threshold, the right superior temporal gyrus and left dorsolateral superior frontal gyrus showed reduce volumes, and the left angular gyrus showed increased volume in T2DM patients compared with controls (p < 0.001, uncorrected). Recent studies have demonstrated similar results that the gray matter volumes of superior temporal gyrus [39,40] and superior frontal gyrus decreased in T2DM patients [40]. The opposite results of left angular gyrus, however, were found in Peng et al's study that significantly reduced cortical thickness happened in left angular gyrus [41].…”

Section: Discussionsupporting

confidence: 47%

Disrupted White Matter Network and Cognitive Decline in Type 2 Diabetes Patients

Zhang

Liu

et al. 2016

JAD

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Abstract. Type 2 diabetes mellitus is accompanied by cognitive impairment and is associated with an increased risk of dementia. Damage to brain structures such as white matter network disruption may underlie this cognitive disturbance. In the present study, 886 non-diabetic and 163 type 2 diabetic participants completed a battery of neuropsychological tests. Among them, 38 diabetic patients and 34 non-diabetic participants that matched the patients for age/sex/education received a magnetic resonance imaging-based diffusion tensor imaging. Then we calculated the topological properties of the white matter network using a graph theoretical method to investigate network efficiency differences between groups. We found that type 2 diabetic patients had inferior performances compared to the non-diabetic controls, in several cognitive domains involving executive function, spatial processing, memory, and attention. We also found that diabetic patients exhibited a disrupted topological organization of the white matter network (including the global network properties, i.e., network strength, global efficiency, local efficiency and shortest path length, and the nodal efficiency of the right rolandic operculum) in the brain. Moreover, those global network properties and the nodal efficiency of the right rolandic operculum both had positive correlations with executive function in the patient group. The results suggest that type 2 diabetes mellitus leads to an alteration in the topological organization of the cortical white matter network and this alteration may account for the observed cognitive decline.

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“…74,75 Finally, morphometric MRI studies have shown that CVRFs are associated with gray matter volume reductions in the medial temporal cortex as well as in other brain regions implicated in the pathophysiology of AD, such as the precuneus and posterior cingulate gyrus. [83][84][85][86] Two recent systematic reviews have provided further evidence linking the cardiovascular system and AD: one review found that high blood pressure is associated with hippocampal volume reduction, 87 and the other described a correlation between medial temporal lobe volume and cardiorespiratory fitness. 88 Based on the above epidemiological, clinical, and structural neuroimaging findings, it has been proposed recently that AD and VaD actually represent two extremes of a dementia spectrum ranging from patients with pure VaD to patients with pure AD, with a majority of patients having contributions from both neuropathological pathways.…”

Section: Cardiovascular Risk Factors and Cognitive Declinementioning

confidence: 99%

The link between cardiovascular risk, Alzheimer's disease, and mild cognitive impairment: support from recent functional neuroimaging studies

Ferreira

Tamashiro-Duran

Squarzoni

et al. 2014

Rev. Bras. Psiquiatr.

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Objective: To review functional neuroimaging studies about the relationship between cardiovascular risk factors (CVRFs), Alzheimer's disease (AD), and mild cognitive impairment (MCI). Methods: We performed a comprehensive literature search to identify articles in the neuroimaging field addressing CVRF in AD and MCI. We included studies that used positron emission tomography (PET), single photon emission computerized tomography (SPECT), or functional magnetic resonance imaging (fMRI). Results: CVRFs have been considered risk factors for cognitive decline, MCI, and AD. Patterns of AD-like changes in brain function have been found in association with several CVRFs (both regarding individual risk factors and also composite CVRF measures). In vivo assessment of AD-related pathology with amyloid imaging techniques provided further evidence linking CVRFs and AD, but there is still limited information resulting from this new technology. Conclusion: There is a large body of evidence from functional neuroimaging studies supporting the hypothesis that CVRFs may play a causal role in the pathophysiology of AD. A major limitation of most studies is their cross-sectional design; future longitudinal studies using multiple imaging modalities are expected to better document changes in CVRF-related brain function patterns and provide a clearer picture of the complex relationship between aging, CVRFs, and AD.

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Mapping the brain in type II diabetes: Voxel-based morphometry using DARTEL

Cited by 89 publications

References 40 publications

Abnormal Alterations of Cortical Thickness in 16 Patients with Type 2 Diabetes Mellitus: A Pilot MRI Study△

Abnormal Alterations of Cortical Thickness in 16 Patients with Type 2 Diabetes Mellitus: A Pilot MRI Study△

Disrupted White Matter Network and Cognitive Decline in Type 2 Diabetes Patients

The link between cardiovascular risk, Alzheimer's disease, and mild cognitive impairment: support from recent functional neuroimaging studies

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