NeuroImage: Clinical (Jan 2019)

Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis

  • Bo Hu,
  • Lin-Feng Yan,
  • Qian Sun,
  • Ying Yu,
  • Jin Zhang,
  • Yu-Jie Dai,
  • Yang Yang,
  • Yu-Chuan Hu,
  • Hai-Yan Nan,
  • Xin Zhang,
  • Chun-Ni Heng,
  • Jun-Feng Hou,
  • Qing-Quan Liu,
  • Chang-Hua Shao,
  • Fei Li,
  • Kai-Xiang Zhou,
  • Hang Guo,
  • Guang-Bin Cui,
  • Wen Wang

Journal volume & issue
Vol. 22

Abstract

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Background: Previous studies presumed that the disturbed neurovascular coupling to be a critical risk factor of cognitive impairments in type 2 diabetes mellitus (T2DM), but distinct clinical manifestations were lacked. Consequently, we decided to investigate the neurovascular coupling in T2DM patients by exploring the MRI relationship between neuronal activity and the corresponding cerebral blood perfusion. Methods: Degree centrality (DC) map and amplitude of low-frequency fluctuation (ALFF) map were used to represent neuronal activity. Cerebral blood flow (CBF) map was used to represent cerebral blood perfusion. Correlation coefficients were calculated to reflect the relationship between neuronal activity and cerebral blood perfusion. Results: At the whole gray matter level, the manifestation of neurovascular coupling was investigated by using 4 neurovascular biomarkers. We compared these biomarkers and found no significant changes. However, at the brain region level, neurovascular biomarkers in T2DM patients were significantly decreased in 10 brain regions. ALFF-CBF in left hippocampus and fractional ALFF-CBF in left amygdala were positively associated with the executive function, while ALFF-CBF in right fusiform gyrus was negatively related to the executive function. The disease severity was negatively related to the memory and executive function. The longer duration of T2DM was related to the milder depression, which suggests T2DM-related depression may not be a physiological condition but be a psychological condition. Conclusion: Correlations between neuronal activity and cerebral perfusion maps may be a method for detecting neurovascular coupling abnormalities, which could be used for diagnosis in the future.Trial registry number: This study has been registered in ClinicalTrials.gov (NCT02420470) on April 2, 2015 and published on July 29, 2015. Keywords: Type 2 diabetes mellites (T2DM), Functional magnetic resonance imaging (fMRI), Neurovascular coupling, Blood oxygenation level dependent (BOLD), Arterial spin-labeling (ASL), Cognitive impairment