TY - JOUR
T1 - Selectively disrupted functional connectivity networks in type 2 diabetes mellitus
AU - Chen, Yaojing
AU - Liu, Zhen
AU - Zhang, Junying
AU - Tian, Guihua
AU - Li, Linzi
AU - Zhang, Sisi
AU - Li, Xin
AU - Chen, Kewei
AU - Zhang, Zhanjun
N1 - Publisher Copyright:
© 2015 Chen, Liu, Zhang, Tian, Li, Zhang, Li, Chen and Zhang.
PY - 2015
Y1 - 2015
N2 - Background: The high prevalence of type 2 diabetes mellitus (T2DM) in individuals over 65 years old and cognitive deficits caused by T2DM have attracted broad attention. The pathophysiological mechanism of T2DM-induced cognitive impairments, however, remains poorly understood. Previous studies have suggested that the cognitive impairments can be attributed not only to local functional and structural abnormalities but also to specific brain networks. Thus, our aim is to investigate the changes of global networks selectively affected by T2DM. Methods: A resting state functional network analysis was conducted to investigate the intrinsic functional connectivity in 37 patients with diabetes and 40 healthy controls who were recruited from local communities in Beijing, China. Results: We found that patients with T2DM exhibited cognitive function declines and functional connectivity disruptions within the default mode network, left frontal parietal network, and sensorimotor network. More importantly, the fasting glucose level was correlated with abnormal functional connectivity. Conclusion: These findings could help to understand the neural mechanisms of cognitive impairments in T2DM and provide potential neuroimaging biomarkers that may be used for early diagnosis and intervention in cognitive decline.
AB - Background: The high prevalence of type 2 diabetes mellitus (T2DM) in individuals over 65 years old and cognitive deficits caused by T2DM have attracted broad attention. The pathophysiological mechanism of T2DM-induced cognitive impairments, however, remains poorly understood. Previous studies have suggested that the cognitive impairments can be attributed not only to local functional and structural abnormalities but also to specific brain networks. Thus, our aim is to investigate the changes of global networks selectively affected by T2DM. Methods: A resting state functional network analysis was conducted to investigate the intrinsic functional connectivity in 37 patients with diabetes and 40 healthy controls who were recruited from local communities in Beijing, China. Results: We found that patients with T2DM exhibited cognitive function declines and functional connectivity disruptions within the default mode network, left frontal parietal network, and sensorimotor network. More importantly, the fasting glucose level was correlated with abnormal functional connectivity. Conclusion: These findings could help to understand the neural mechanisms of cognitive impairments in T2DM and provide potential neuroimaging biomarkers that may be used for early diagnosis and intervention in cognitive decline.
KW - Alzheimer's disease
KW - Functional connectivity
KW - Functional magnetic resonance imaging
KW - Resting state network
KW - Type 2 diabetes mellitus
UR - http://www.scopus.com/inward/record.url?scp=84982730533&partnerID=8YFLogxK
U2 - 10.3389/fnagi.2015.00233
DO - 10.3389/fnagi.2015.00233
M3 - Article
AN - SCOPUS:84982730533
SN - 1663-4365
VL - 7
JO - Frontiers in Aging Neuroscience
JF - Frontiers in Aging Neuroscience
IS - DEC
M1 - 233
ER -