Abstract
Objective: Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder. Method: We first estimated a state-of-The-Art regularized partial correlation network based on participants with social anxiety disorder (n=910) to determine which symptoms were more central. Next, we tested whether change in these central symptoms were indeed more related to overall symptom change in a separate dataset of participants with social anxiety disorder who underwent a variety of treatments (n=244). We also tested.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 831-844 |
| Number of pages | 14 |
| Journal | Journal of Consulting and Clinical Psychology |
| Volume | 86 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 1 2018 |
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ASJC Scopus subject areas
- Clinical Psychology
- Psychiatry and Mental health
Cite this
Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder? / Rodebaugh, Thomas L.; Tonge, Natasha A.; Piccirill, Marilyn L.; Fried, Eiko; Horenstein, Arielle; Morrison, Amanda S.; Goldin, Philip R; Gross, James J.; Lim, Michelle H.; Fernandez, Katya C.; Blanco, Carlos; Schneier, Franklin R.; Bogdan, Ryan; Thompson, Renee J.; Heimberg, Richard G.
In: Journal of Consulting and Clinical Psychology, Vol. 86, No. 10, 01.10.2018, p. 831-844.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder?
AU - Rodebaugh, Thomas L.
AU - Tonge, Natasha A.
AU - Piccirill, Marilyn L.
AU - Fried, Eiko
AU - Horenstein, Arielle
AU - Morrison, Amanda S.
AU - Goldin, Philip R
AU - Gross, James J.
AU - Lim, Michelle H.
AU - Fernandez, Katya C.
AU - Blanco, Carlos
AU - Schneier, Franklin R.
AU - Bogdan, Ryan
AU - Thompson, Renee J.
AU - Heimberg, Richard G.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Objective: Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder. Method: We first estimated a state-of-The-Art regularized partial correlation network based on participants with social anxiety disorder (n=910) to determine which symptoms were more central. Next, we tested whether change in these central symptoms were indeed more related to overall symptom change in a separate dataset of participants with social anxiety disorder who underwent a variety of treatments (n=244). We also tested.
AB - Objective: Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder. Method: We first estimated a state-of-The-Art regularized partial correlation network based on participants with social anxiety disorder (n=910) to determine which symptoms were more central. Next, we tested whether change in these central symptoms were indeed more related to overall symptom change in a separate dataset of participants with social anxiety disorder who underwent a variety of treatments (n=244). We also tested.
UR - http://www.scopus.com/inward/record.url?scp=85054063548&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054063548&partnerID=8YFLogxK
U2 - 10.1037/ccp0000336
DO - 10.1037/ccp0000336
M3 - Article
C2 - 30265042
AN - SCOPUS:85054063548
VL - 86
SP - 831
EP - 844
JO - Journal of Consulting and Clinical Psychology
JF - Journal of Consulting and Clinical Psychology
SN - 0022-006X
IS - 10
ER -