Abnormal corpus callosum induced by diabetes impairs sensorimotor connectivity in patients after acute stroke
- 131 Downloads
To test the hypothesis that abnormal corpus callosum (CC) induced by diabetes may impair inter-hemispheric sensorimotor functional connectivity (FC) that is associated with poor clinical outcome after stroke.
Forty-five patients with acute ischaemic stroke in the middle cerebral artery territory and 14 normal controls participated in the study. CC was divided into five subregions on three-dimensional T1-weighted image. The microstructural integrity of each subregion of CC was analysed by DTI and the inter-hemispheric FCs in primary motor cortex (M1-M1 FC) and primary sensory cortex (S1-S1 FC) were examined by resting-state functional magnetic resonance imaging.
Diabetic patients (n = 26) had significantly lower fractional anisotropy (FA) in the isthmus of CC (CCisthmus) when compared with non-diabetic patients (n = 19) and normal controls (p < 0.0001). In addition, diabetic patients had the lowest M1-M1 FC (p = 0.015) and S1-S1 FC (p = 0.001). In diabetic patients, reduced FA of CCisthmus correlated with decreased M1-M1 FC (r = 0.549, p = 0.004) and S1-S1 FC (r = 0.507, p = 0.008). Decreased M1-M1 FC was independently associated with poor outcome after stroke in patients with diabetes (odds ratio = 0.448, p = 0.017).
CC degeneration induced by diabetes impairs sensorimotor connectivity and dysfunction of motor connectivity can contribute to poor recovery after stroke in patients with diabetes.
• Abnormal isthmus of corpus callosum in stroke patients with diabetes.
• Abnormal isthmus of corpus callosum correlated with decreased inter-hemispheric sensorimotor connectivity.
• Decreased motor connectivity correlated with poor stroke outcome in diabetic patients.
KeywordsStroke Diabetes mellitus White matter Cerebral cortex Magnetic resonance imaging
Fasting plasma glucose
Primary motor cortex
National Institute of Health Stroke Score
Primary sensory cortex
White matter hyperintensities
This study has received funding by the National Natural Science Foundation of China (No. 81271530), the Zhejiang Provincial Natural Science Foundation of China (No. LQ17H180002 & LZ14H180001), and the Medical and Health Science and Technology Project of Zhejiang Province (No. 2017KY377)
Compliance with ethical standards
The scientific guarantor of this publication is Minming Zhang.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
No complex statistical methods were necessary for this paper.
Written informed consent was obtained from all subjects in this study.
Institutional Review Board approval was obtained.
• cross-sectional study
• performed at one institution
- 20.Fazekas F, Chawluk JB, Alavi A, Hurtig H, Zimmerman R (1987) MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJNR. Am J Neuroradiol 149:351–356Google Scholar
- 22.Kasner SE (2006) Clinical interpretation and use of stroke scales. Lancet Neurol 5:603–612Google Scholar
- 24.Yan C, Zang Y (2010) DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front Syst Neurosci 4:13Google Scholar