Qian Chen1, Jiaming Lu2, Xin Zhang2, Jilei Zhang3, and Bing Zhang1
1Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China, 2Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China, 3Philips Healthcare, Shanghai, China
1Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China, 2Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China, 3Philips Healthcare, Shanghai, China
Individuals
with subjective cognitive decline at higher risk of Alzheimer’s disease showed alterations
in temporal properties of fractional windows, mean dwell time, and the number
of transitions by dynamic functional connectivity analysis.
Figure 2. The four states identified by
k-means clustering analysis and the corresponding cluster centroids. The total
number and percentage of reoccurrence times of each state are listed above each
cluster (A), together with 5% strongest connections of each state (B). BG:
basal ganglia; AUD: auditory; VIS: visual; SMN: sensorimotor; CEN: cognitive
executive; DMN: default mode; CB: cerebellar.
Figure
1. Independent components (n = 33) identified by group independent component
analysis. (A) Independent component spatial maps divided on the seven
functional networks. (B) Group averaged static functional connectivity matrix
between pairs of independent components.