Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study

Daniel W. Klyce; Samuel J. West; Paul B. Perrin; Stephanie D. Agtarap; Jacob A. Finn; Shannon B. Juengst; Kristen Dams-O'connor; C. B. Eagye; Tiffanie A. Vargas; Joyce, S. Chung; Charles H. Bombardier

doi:10.1089/neu.2021.0200

Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study

Daniel W. Klyce, Samuel J. West, Paul B. Perrin, Stephanie D. Agtarap, Jacob A. Finn, Shannon B. Juengst, Kristen Dams-O'connor, C. B. Eagye, Tiffanie A. Vargas, Joyce, S. Chung, Charles H. Bombardier

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Traumatic brain injury (TBI) is often experienced under stressful circumstances that can lead to symptoms of post-traumatic stress disorder (PTSD) and neurobehavioral symptoms of brain injury. There is considerable symptom overlap in the behavioral expression of these conditions. Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is well suited to explore their interrelatedness. This study applied network analysis to examine the associations among PTSD and TBI symptoms in a sample of Service Members and Veterans (SM/Vs) with a history of TBI one year after injury. Responses to the Neurobehavioral Symptom Inventory (NSI) and PTSD Checklist-Civilian version (PCL-C) were obtained from participants who completed comprehensive inpatient rehabilitation services across five Veterans Affairs polytrauma rehabilitation centers. Participants (N = 612) were 93.1% male with an average age of 36.98 years at injury. The analysis produced a stable network. Within the NSI symptom groups, the frustration symptom was an important bridge between the affective and cognitive TBI symptoms. The PCL-C nodes formed their own small cluster with hyperarousal yielding connections with the affective, cognitive, and somatic symptom groups. Consistent with this observation, the hyperarousal node had the second strongest bridge centrality in the network. Hyperarousal appears to play a key role in holding together this network of distress and thus represents a prime target for intervention among individuals with elevated symptoms of PTSD and a history of TBI. Network analysis offers an empirical approach to visualizing and quantifying the associations among symptoms. The identification of symptoms that are central to connecting multiple conditions can inform diagnostic precision and treatment selection.

Original language	English
Pages (from-to)	3332-3340
Number of pages	9
Journal	Journal of Neurotrauma
Volume	38
Issue number	23
DOIs	https://doi.org/10.1089/neu.2021.0200
State	Published - Dec 2021

Keywords

network analysis
post-traumatic stress disorder
traumatic brain injury
veterans

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10.1089/neu.2021.0200

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Klyce, D. W., West, S. J., Perrin, P. B., Agtarap, S. D., Finn, J. A., Juengst, S. B., Dams-O'connor, K., Eagye, C. B., Vargas, T. A., Chung, J. S., & Bombardier, C. H. (2021). Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study. Journal of Neurotrauma, 38(23), 3332-3340. https://doi.org/10.1089/neu.2021.0200

@article{0df230f96ed24a9fbf99e03d933c615d,

title = "Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study",

abstract = "Traumatic brain injury (TBI) is often experienced under stressful circumstances that can lead to symptoms of post-traumatic stress disorder (PTSD) and neurobehavioral symptoms of brain injury. There is considerable symptom overlap in the behavioral expression of these conditions. Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is well suited to explore their interrelatedness. This study applied network analysis to examine the associations among PTSD and TBI symptoms in a sample of Service Members and Veterans (SM/Vs) with a history of TBI one year after injury. Responses to the Neurobehavioral Symptom Inventory (NSI) and PTSD Checklist-Civilian version (PCL-C) were obtained from participants who completed comprehensive inpatient rehabilitation services across five Veterans Affairs polytrauma rehabilitation centers. Participants (N = 612) were 93.1% male with an average age of 36.98 years at injury. The analysis produced a stable network. Within the NSI symptom groups, the frustration symptom was an important bridge between the affective and cognitive TBI symptoms. The PCL-C nodes formed their own small cluster with hyperarousal yielding connections with the affective, cognitive, and somatic symptom groups. Consistent with this observation, the hyperarousal node had the second strongest bridge centrality in the network. Hyperarousal appears to play a key role in holding together this network of distress and thus represents a prime target for intervention among individuals with elevated symptoms of PTSD and a history of TBI. Network analysis offers an empirical approach to visualizing and quantifying the associations among symptoms. The identification of symptoms that are central to connecting multiple conditions can inform diagnostic precision and treatment selection.",

keywords = "network analysis, post-traumatic stress disorder, traumatic brain injury, veterans",

author = "Klyce, {Daniel W.} and West, {Samuel J.} and Perrin, {Paul B.} and Agtarap, {Stephanie D.} and Finn, {Jacob A.} and Juengst, {Shannon B.} and Kristen Dams-O'connor and Eagye, {C. B.} and Vargas, {Tiffanie A.} and Chung, {Joyce, S.} and Bombardier, {Charles H.}",

note = "Publisher Copyright: {\textcopyright} 2021 Mary Ann Liebert, Inc., publishers.",

year = "2021",

month = dec,

doi = "10.1089/neu.2021.0200",

language = "English",

volume = "38",

pages = "3332--3340",

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Klyce, DW, West, SJ, Perrin, PB, Agtarap, SD, Finn, JA, Juengst, SB, Dams-O'connor, K, Eagye, CB, Vargas, TA, Chung, JS & Bombardier, CH 2021, 'Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study', Journal of Neurotrauma, vol. 38, no. 23, pp. 3332-3340. https://doi.org/10.1089/neu.2021.0200

Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study. / Klyce, Daniel W.; West, Samuel J.; Perrin, Paul B. et al.
In: Journal of Neurotrauma, Vol. 38, No. 23, 12.2021, p. 3332-3340.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury

T2 - A Veterans Affairs Traumatic Brain Injury Model Systems Study

AU - Klyce, Daniel W.

AU - West, Samuel J.

AU - Perrin, Paul B.

AU - Agtarap, Stephanie D.

AU - Finn, Jacob A.

AU - Juengst, Shannon B.

AU - Dams-O'connor, Kristen

AU - Eagye, C. B.

AU - Vargas, Tiffanie A.

AU - Chung, Joyce, S.

AU - Bombardier, Charles H.

PY - 2021/12

Y1 - 2021/12

N2 - Traumatic brain injury (TBI) is often experienced under stressful circumstances that can lead to symptoms of post-traumatic stress disorder (PTSD) and neurobehavioral symptoms of brain injury. There is considerable symptom overlap in the behavioral expression of these conditions. Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is well suited to explore their interrelatedness. This study applied network analysis to examine the associations among PTSD and TBI symptoms in a sample of Service Members and Veterans (SM/Vs) with a history of TBI one year after injury. Responses to the Neurobehavioral Symptom Inventory (NSI) and PTSD Checklist-Civilian version (PCL-C) were obtained from participants who completed comprehensive inpatient rehabilitation services across five Veterans Affairs polytrauma rehabilitation centers. Participants (N = 612) were 93.1% male with an average age of 36.98 years at injury. The analysis produced a stable network. Within the NSI symptom groups, the frustration symptom was an important bridge between the affective and cognitive TBI symptoms. The PCL-C nodes formed their own small cluster with hyperarousal yielding connections with the affective, cognitive, and somatic symptom groups. Consistent with this observation, the hyperarousal node had the second strongest bridge centrality in the network. Hyperarousal appears to play a key role in holding together this network of distress and thus represents a prime target for intervention among individuals with elevated symptoms of PTSD and a history of TBI. Network analysis offers an empirical approach to visualizing and quantifying the associations among symptoms. The identification of symptoms that are central to connecting multiple conditions can inform diagnostic precision and treatment selection.

AB - Traumatic brain injury (TBI) is often experienced under stressful circumstances that can lead to symptoms of post-traumatic stress disorder (PTSD) and neurobehavioral symptoms of brain injury. There is considerable symptom overlap in the behavioral expression of these conditions. Psychometric network analysis is a useful approach to investigate the role of specific symptoms in connecting these two disorders and is well suited to explore their interrelatedness. This study applied network analysis to examine the associations among PTSD and TBI symptoms in a sample of Service Members and Veterans (SM/Vs) with a history of TBI one year after injury. Responses to the Neurobehavioral Symptom Inventory (NSI) and PTSD Checklist-Civilian version (PCL-C) were obtained from participants who completed comprehensive inpatient rehabilitation services across five Veterans Affairs polytrauma rehabilitation centers. Participants (N = 612) were 93.1% male with an average age of 36.98 years at injury. The analysis produced a stable network. Within the NSI symptom groups, the frustration symptom was an important bridge between the affective and cognitive TBI symptoms. The PCL-C nodes formed their own small cluster with hyperarousal yielding connections with the affective, cognitive, and somatic symptom groups. Consistent with this observation, the hyperarousal node had the second strongest bridge centrality in the network. Hyperarousal appears to play a key role in holding together this network of distress and thus represents a prime target for intervention among individuals with elevated symptoms of PTSD and a history of TBI. Network analysis offers an empirical approach to visualizing and quantifying the associations among symptoms. The identification of symptoms that are central to connecting multiple conditions can inform diagnostic precision and treatment selection.

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ER -

Network Analysis of Neurobehavioral and Post-Traumatic Stress Disorder Symptoms One Year after Traumatic Brain Injury: A Veterans Affairs Traumatic Brain Injury Model Systems Study

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