Compensatory thalamocortical functional hyperconnectivity in type 2 Diabetes Mellitus.
Jie WangShanlei ZhouDatong DengMimi ChenHuanhuan CaiCun ZhangFujun LiuWei LuoJiajia ZhuYongqiang YuPublished in: Brain imaging and behavior (2022)
Type 2 diabetes mellitus (T2DM) is associated with brain damage and cognitive decline. Despite the fact that the thalamus involves aspects of cognition and is typically affected in T2DM, existing knowledge of subregion-level thalamic damage and its associations with cognitive performance in T2DM patients is limited. The thalamus was subdivided into 8 subregions in each hemisphere. Resting-state functional and structural MRI data were collected to calculate resting-state functional connectivity (rsFC) and gray matter volume (GMV) of each thalamic subregion in 62 T2DM patients and 50 healthy controls. Compared with controls, T2DM patients showed increased rsFC of the medial pre-frontal thalamus, posterior parietal thalamus, and occipital thalamus with multiple cortical regions. Moreover, these thalamic functional hyperconnectivity were associated with better cognitive performance and lower glucose variability in T2DM patients. However, there were no group differences in GMV for any thalamic subregions. These findings suggest a possible neural compensation mechanism whereby selective thalamocortical functional hyperconnectivity facilitated by better glycemic control help to preserve cognitive ability in T2DM patients, which may ultimately inform intervention and prevention of T2DM-related cognitive decline in real-world clinical settings.
Keyphrases
- functional connectivity
- resting state
- end stage renal disease
- cognitive decline
- glycemic control
- ejection fraction
- newly diagnosed
- chronic kidney disease
- deep brain stimulation
- type diabetes
- magnetic resonance imaging
- prognostic factors
- healthcare
- magnetic resonance
- adipose tissue
- cardiovascular disease
- blood glucose
- blood brain barrier
- multiple sclerosis
- brain injury
- subarachnoid hemorrhage
- artificial intelligence
- big data