Skip to main content

Table 1 Summary of betweenness centrality analyses

From: Delirium is associated with frequency band specific dysconnectivity in intrinsic connectivity networks: preliminary evidence from a large retrospective pilot case-control study

Network

Frequency

HCP-MMP region

HCP-MMP location

t-value

p-value

Cohen’s d

Cohen’s d [95% CI]

Default mode network

Delta

paracentral lobular and mid cingulate cortex

5mv

2.44

0.01

0.21

0.19–0.22

 

posterior cingulate cortex

ProS

3.00

0.00

0.26

0.23–0.28

 

ventral stream visual cortex

VMV1

2.02

0.02

0.17

0.16–0.18

Theta

posterior cingulate cortex

RSC

5.47

0.00

0.47

0.36–0.55

 

posterior cingulate cortex

v23ab

5.41

0.00

0.47

0.36–0.54

 

posterior cingulate cortex

d23ab

4.29

0.00

0.37

0.3–0.42

 

posterior cingulate cortex

31 pv

5.58

0.00

0.48

0.37–0.55

 

dorsolateral prefrontal cortex

s6–8

4.26

0.00

0.37

0.31–0.41

 

inferior parietal cortex

PGp

4.18

0.00

0.36

0.31–0.4

 

inferior parietal cortex

PGs

5.52

0.00

0.47

0.38–0.54

Alpha

posterior cingulate cortex

7 m

− 3.95

0.00

− 0.34

− 0.39–− 0.27

 

dorsolateral prefrontal cortex

8Av

− 3.73

0.00

− 0.32

− 0.36–− 0.26

 

dorsolateral prefrontal cortex

9a

− 3.44

0.00

− 0.3

− 0.33–− 0.25

 

anterior cingulate and medial prefrontal cortex

10v

− 3.44

0.00

− 0.3

− 0.33–− 0.25

 

premotor cortex

6a

− 3.72

0.00

− 0.32

− 0.36–− 0.26

 

dorsolateral prefrontal cortex

s6–8

− 3.32

0.00

− 0.29

− 0.32–− 0.24

Beta

dorsolateral prefrontal cortex

46

− 2.36

0.01

− 0.2

− 0.22–− 0.18

Executive control network

Delta

superior parietal cortex

MIP

1.86

0.03

0.16

0.15–0.17

Theta

dorsolateral prefrontal cortex

s6–8

4.26

0.00

0.37

0.31–0.41

 

lateral temporal cortex

TE2a

4.77

0.00

0.41

0.34–0.46

 

inferior parietal cortex

IP2

4.71

0.00

0.41

0.33–0.46

 

inferior parietal cortex

PF

4.38

0.00

0.38

0.32–0.42

 

inferior parietal cortex

PGs

5.52

0.00

0.47

0.38–0.54

Alpha

dorsolateral prefrontal cortex

8Av

− 3.73

0.00

−  0.32

− 0.36–− 0.26

 

dorsolateral prefrontal cortex

9a

− 3.44

0.00

− 0.30

− 0.33–− 0.25

 

premotor cortex

6a

−  3.72

0.00

− 0.32

− 0.36–− 0.26

 

dorsolateral prefrontal cortex

s6–8

− 3.32

0.00

− 0.29

− 0.32–− 0.24

Beta

dorsolateral prefrontal cortex

46

− 2.36

0.01

− 0.20

− 0.22–− 0.18

Salience network

Delta

anterior cingulate and medial prefrontal cortex

p32pr

1.66

0.05

0.14

0.14–0.15

 

anterior cingulate and medial prefrontal cortex

8BM

3.90

0.00

0.34

0.29–0.37

 

dorsolateral prefrontal cortex

8Ad

3.74

0.00

0.32

0.28–0.35

Theta

dorsolateral prefrontal cortex

s6–8

4.26

0.00

0.37

0.31–0.41

 

anterior cingulate and medial prefrontal cortex

p24

3.70

0.00

0.32

0.27–0.36

 

dorsolateral prefrontal cortex

9-46d

− 3.30

0.00

− 0.28

− 0.31–− 0.24

Alpha

dorsolateral prefrontal cortex

9a

− 3.44

0.00

− 0.30

− 0.33–− 0.25

 

dorsolateral prefrontal cortex

s6–8

− 3.32

0.00

− 0.29

− 0.32–− 0.24

Beta

dorsolateral prefrontal cortex

46

− 2.36

0.01

− 0.20

− 0.22–− 0.18

  1. All networks studied showed alterations in information flow through multiple nodes and throughout frequency bands. Slow frequencies were generally associated with increased centrality while faster frequencies rendered decreased centrality parameters. Note that only t-values above the 9th percentile were included to illustrate largest effects. Effect sizes were medium (Cohens d = 0.3–0.6) in most cases. For a full list of HCP-MMP locations and their associated functions, please refer to the original publication by Glasser et al. [52]