scholarly journals Cerebral White Matter Integrity and Resting-State Functional Connectivity in Middle-aged Patients With Type 2 Diabetes

Diabetes ◽  
2013 ◽  
Vol 63 (2) ◽  
pp. 728-738 ◽  
Author(s):  
W. S. Hoogenboom ◽  
T. J. Marder ◽  
V. L. Flores ◽  
S. Huisman ◽  
H. P. Eaton ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
White Matter ◽  
Functional Connectivity ◽  
Resting State ◽  
White Matter Integrity ◽  
Cerebral White Matter ◽  
Middle Aged ◽  
Resting State Functional Connectivity ◽  
Aged Patients

scholarly journals Intranasal Insulin Enhanced Resting-State Functional Connectivity of Hippocampal Regions in Type 2 Diabetes

Diabetes ◽  
2014 ◽  
Vol 64 (3) ◽  
pp. 1025-1034 ◽  
Author(s):  
Hui Zhang ◽  
Ying Hao ◽  
Bradley Manor ◽  
Peter Novak ◽  
William Milberg ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Functional Connectivity ◽  
Resting State ◽  
Intranasal Insulin ◽  
Resting State Functional Connectivity

Thalamic resting-state functional connectivity: disruption in patients with type 2 diabetes

2015 ◽  
Vol 30 (5) ◽  
pp. 1227-1236 ◽  
Author(s):  
Yu-Chen Chen ◽  
Wenqing Xia ◽  
Cheng Qian ◽  
Jie Ding ◽  
Shenghong Ju ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Functional Connectivity ◽  
Resting State ◽  
Resting State Functional Connectivity

scholarly journals Interhemispheric resting-state functional connectivity abnormalities in type 2 diabetes patients

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Yanwei Zhang ◽  
Jian Wang ◽  
Ping Wei ◽  
Jiuquan Zhang ◽  
Ge Zhang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Functional Connectivity ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Diabetes Patients

scholarly journals Arterial stiffness and progression of cerebral white matter hyperintensities in patients with type 2 diabetes and matched controls: a 5-year cohort study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Kristian L. Funck ◽  
Esben Laugesen ◽  
Pernille Høyem ◽  
Brian Stausbøl-Grøn ◽  
Won Y. Kim ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
White Matter ◽  
Arterial Stiffness ◽  
White Matter Hyperintensities ◽  
Cerebrovascular Diseases ◽  
Study Data ◽  
Cerebral White Matter ◽  
Intracranial Volume

Abstract Background Stroke is a serious complication in patients with type 2 diabetes (T2DM). Arterial stiffness may improve stroke prediction. We investigated the association between carotid-femoral pulse wave velocity [PWV] and the progression of cerebral white matter hyperintensities (WMH), a marker of stroke risk, in patients with T2DM and controls. Methods In a 5-year cohort study, data from 45 patients and 59 non-diabetic controls were available for analysis. At baseline, participants had a mean (± SD) age of 59  ±  10 years and patients had a median (range) diabetes duration of 1.8 (0.8–3.2) years. PWV was obtained by tonometry and WMH volume by an automated segmentation algorithm based on cerebral T2-FLAIR and T1 MRI (corrected by intracranial volume, cWMH). High PWV was defined above 8.94 m/s (corresponding to the reference of high PWV above 10 m/s using the standardized path length method). Results Patients with T2DM had a higher PWV than controls (8.8  ±  2.2 vs. 7.9  ±  1.4 m/s, p  <  0.01). WMH progression were similar in the two groups (p  =  0.5). One m/s increase in baseline PWV was associated with a 16% [95% CI 1–32%], p  <  0.05) increase in cWMH volume at 5 years follow-up after adjustment for age, sex, diabetes, pulse pressure and smoking. High PWV was associated with cWMH progression in the combined cohort (p  <  0.05). We found no interaction between diabetes and PWV on cWMH progression. Conclusions PWV is associated with cWMH progression in patients with type 2 diabetes and non-diabetic controls. Our results indicate that arterial stiffness may be involved early in the pathophysiology leading to cerebrovascular diseases.

scholarly journals Aberrant Brain Functional Connectivity Related to Insulin Resistance in Type 2 Diabetes: A Resting-State fMRI Study

Diabetes Care ◽  
2014 ◽  
Vol 37 (6) ◽  
pp. 1689-1696 ◽  
Author(s):  
Yu-Chen Chen ◽  
Yun Jiao ◽  
Ying Cui ◽  
Song-An Shang ◽  
Jie Ding ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
Fmri Study ◽  
Brain Functional Connectivity

scholarly journals P979 Subclinical left ventricular dysfunction and silent myocardial ischemia in asymptomatic middle-aged patients with type 2 diabetes mellitus

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
A Kisko ◽  
J Lesko ◽  
L Dernarova ◽  
N Kishko
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Systolic Dysfunction ◽  
Left Ventricular ◽  
Male Gender ◽  
Silent Myocardial Ischemia ◽  
Middle Aged ◽  
Aged Patients

Abstract Early detection of silent myocardial ischemia (SMI) in asymptomatic middle-aged patients (pts) with type 2 diabetes mellitus (T2DM) may be important due to the generally poor prognosis and early myocardial involvement in this specific subgroup of diabetic population. Our goal was to evaluate whether subclinical left ventricular (LV) systolic dysfunction assessed by two-dimensional speckle-tracking echocardiography (2D-STE) is independently related to SMI detected by MPI (gated SPECT myocardial scintigraphy) and if it could provide incremental information over baseline characteristics to identify it. We have tested the hypothesis that the myocardial mechanics significantly differ in asymptomatic middle-aged diabetics, depending on the presence or absence of SMI. In total, 60 consecutive middle-aged (&lt;60 years; 42 males, 70.0%) asymptomatic T2DM pts were enrolled into the study. MPI was performed in one-day protocol according to the EANM procedural guidelines, and SMI was diagnosed consensually by two experts as myocardial perfusion abnormalities without associated symptoms. The T2DM pts were subdivided into two groups according to the results of MPI, namely SMI group (n = 11) and non-SMI group (n= 49) Global longitudinal peak systolic strain (GLPSS) was measured from two- and four-chamber views cines using Automated Function Imaging (Vivid S6, GE). Subclinical LV dysfunction was defined as GLPSS of &gt; -20%. Prevalence of SMI in T2DM pts was 18,3%. All pts in SMI group (n = 11) were of male gender, and disease duration ≥ 5 years. Pooled data from 2D-STE showed significant reduction in mean absolute GLPSS values (p&lt;.001). Further more, pts in SMI group had more impaired GLPSS when compared with patients in non-SMI group (-16.1 ± 1.5% vs. -20.4 ± 1.8%, P &lt; .01). At multivariate analysis, male gender, an amount of epicardial adipose tissue and erectile dysfunction in men were independently associated with SMI. The addition of the LV GLPSS values to other selected independent clinical variables significantly improved the ability to predict SMI in these patients (χ(2) = 48.62; P = .001). Asymptomatic middle-aged T2DM pts with SMI showed a more impaired LV GLPSS compared with patients without silent ischemia. The presence of subclinical LV systolic dysfunction provides significant incremental value for the identification of SMI in asymptomatic middle-aged diabetics.

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