title: Selectively Disrupted Functional Connectivity Networks in Type 2 Diabetes Mellitus.
abstract: 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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China ; BABRI Centre, Beijing Normal University , Beijing , China.
authors.forename: Yaojing
authors.initials: Y
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China ; BABRI Centre, Beijing Normal University , Beijing , China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Liu
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China ; BABRI Centre, Beijing Normal University , Beijing , China.
authors.forename: Junying
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Dongzhimen Hospital, Beijing University of Chinese Medicine , Beijing , China.
authors.forename: Guihua
authors.initials: G
authors.lastname: Tian
authors.affiliation: School of Life Sciences, Fudan University , Shanghai , China.
authors.forename: Linzi
authors.initials: L
authors.lastname: Li
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China ; BABRI Centre, Beijing Normal University , Beijing , China.
authors.forename: Sisi
authors.initials: S
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China ; BABRI Centre, Beijing Normal University , Beijing , China.
authors.forename: Xin
authors.initials: X
authors.lastname: Li
authors.affiliation: BABRI Centre, Beijing Normal University , Beijing , China ; Banner Alzheimer's Institute , Phoenix, AZ , USA.
authors.forename: Kewei
authors.initials: K
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing , China ; BABRI Centre, Beijing Normal University , Beijing , China.
authors.forename: Zhanjun
authors.initials: Z
authors.lastname: Zhang
keywords: Alzheimer’s disease; functional connectivity; functional magnetic resonance imaging; resting state network; type 2 diabetes mellitus