Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

Benjamin Suarez-Jimenez; Amit Lazarov; Xi Zhu; Sigal Zilcha-Mano; Yoojean Kim; Claire E. Marino; Pavel Rjabtsenkov; Shreya Y. Bavdekar; Daniel S. Pine; Yair Bar-Haim; Christine L. Larson; Ashley A. Huggins; deRoon-Cassini Terri deRoon-Cassini; Carissa Tomas; Jacklynn Fitzgerald; Mitzy Kennis; Tim Varkevisser; Elbert Geuze; Yann Quidé; Wissam El Hage; Xin Wang; Erin N. O'Leary; Andrew S. Cotton; Hong Xie; Chiahao Shih; Seth G. Disner; Nicholas D. Davenport; Scott R. Sponheim; Saskia B.J. Koch; Jessie L. Frijling; Laura Nawijn; Mirjam van Zuiden; Miranda Olff; Dick J. Veltman; Evan M. Gordon; Geoffery May; Steven M. Nelson; Meilin Jia-Richards; Yuval Neria; Rajendra A. Morey

doi:10.1016/j.bpsgos.2023.05.006

Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

Benjamin Suarez-Jimenez, Amit Lazarov, Xi Zhu, Sigal Zilcha-Mano, Yoojean Kim, Claire E. Marino, Pavel Rjabtsenkov, Shreya Y. Bavdekar, Daniel S. Pine, Yair Bar-Haim, Christine L. Larson, Ashley A. Huggins, deRoon-Cassini Terri deRoon-Cassini, Carissa Tomas, Jacklynn Fitzgerald, Mitzy Kennis, Tim Varkevisser, Elbert Geuze, Yann Quidé, Wissam El HageXin Wang, Erin N. O'Leary, Andrew S. Cotton, Hong Xie, Chiahao Shih, Seth G. Disner, Nicholas D. Davenport, Scott R. Sponheim, Saskia B.J. Koch, Jessie L. Frijling, Laura Nawijn, Mirjam van Zuiden, Miranda Olff, Dick J. Veltman, Evan M. Gordon, Geoffery May, Steven M. Nelson, Meilin Jia-Richards, Yuval Neria, Rajendra A. Morey

Department of Psychology

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

Abstract

Background: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n = 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)–only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network–related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.

Original language	English
Journal	Biological Psychiatry Global Open Science
DOIs	https://doi.org/10.1016/j.bpsgos.2023.05.006
State	Accepted/In press - 2023

Bibliographical note

Funding Information:
This work was supported by National Institute of Mental Health Grant Nos. K01MH118428 (to BS-J), R01MH131532 (to BS-J), K01MH122774 (to XZ), R01MH105355 (to YN), 1R01MH106574 (to CLL, TdR-C), 1R01MH110483 (to XW), 1R21MH098198 (to XW), and 1R21MH125277 (to XW); National Eye Institute Core Grant No. P30 EY001319 (to BS-J); Brain and Behavior Research Foundation NARSAD Young Investigator Grants (to BS-J, XZ); Israel Science Foundation Grant No. 374/20 (to AL); National Institute of Mental Health Intramural Research Program Project Grant No. ZIA-MH-002782 (to DSP); the Programme Hospitalier de Recherche Clinique (to WEH); Fondation Pierre Deniker (to WEH); SFR Grant No. FED4226 (to WEH); VA Office of Rehabilitation Research and Development Grant Nos. 1IK2RX000709 (to SGD), I01RX000622 (to NDD), 1K1RX002325 (to SRS), and 1K2RX002922 (to SRS); Congressionally Directed Medical Research Program Grant No. W81XWH-08-2-0038 (to NDD); Netherlands Organization for Health Research and Development Grant No. 40-00812-98-10041 [to SBJK, JLF, LN, MvZ, MO, DJV]); Academic Medical Center Research Council Grant No. 110614 (to SBJK, JLF, LN, MvZ, MO, DJV); VA Clinical Science Research and Development Grant No. 1IK2CX001680 [to EMG, GM, SMN]; and VISN17 Center of Excellence Pilot funding (to EMG, GM, SMN). The funding agencies had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication. WEH received support from Air Liquide, CHUGAI, EISAI, Jazz Pharmaceuticals, Janssen, Lundbeck, Otsuka, and UCB for work unrelated to the current study. All other authors report no biomedical financial interests or potential conflicts of interest.

Funding Information:
This work was supported by National Institute of Mental Health Grant Nos. K01MH118428 (to BS-J), R01MH131532 (to BS-J), K01MH122774 (to XZ), R01MH105355 (to YN), 1R01MH106574 (to CLL, TdR-C), 1R01MH110483 (to XW), 1R21MH098198 (to XW), and 1R21MH125277 (to XW); National Eye Institute Core Grant No. P30 EY001319 (to BS-J); Brain and Behavior Research Foundation NARSAD Young Investigator Grants (to BS-J, XZ); Israel Science Foundation Grant No. 374/20 (to AL); National Institute of Mental Health Intramural Research Program Project Grant No. ZIA-MH-002782 (to DSP); the Programme Hospitalier de Recherche Clinique (to WEH); Fondation Pierre Deniker (to WEH); SFR Grant No. FED4226 (to WEH); VA Office of Rehabilitation Research and Development Grant Nos. 1IK2RX000709 (to SGD), I01RX000622 (to NDD), 1K1RX002325 (to SRS), and 1K2RX002922 (to SRS); Congressionally Directed Medical Research Program Grant No. W81XWH-08-2-0038 (to NDD); Netherlands Organization for Health Research and Development Grant No. 40-00812-98-10041 [to SBJK, JLF, LN, MvZ, MO, DJV]) ; Academic Medical Center Research Council Grant No. 110614 (to SBJK, JLF, LN, MvZ, MO, DJV); VA Clinical Science Research and Development Grant No. 1IK2CX001680 [to EMG, GM, SMN]; and VISN17 Center of Excellence Pilot funding (to EMG, GM, SMN). The funding agencies had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication.

Publisher Copyright:
© 2023 The Authors

Keywords

ITRED
Machine learning
PTSD
Re-experiencing
Resting-state functional connectivity
Trauma exposure

ASJC Scopus subject areas

Psychiatric Mental Health
Clinical Neurology
Psychiatry and Mental health
Biological Psychiatry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.bpsgos.2023.05.006

Cite this

Suarez-Jimenez, B., Lazarov, A., Zhu, X., Zilcha-Mano, S., Kim, Y., Marino, C. E., Rjabtsenkov, P., Bavdekar, S. Y., Pine, D. S., Bar-Haim, Y., Larson, C. L., Huggins, A. A., Terri deRoon-Cassini, D-C., Tomas, C., Fitzgerald, J., Kennis, M., Varkevisser, T., Geuze, E., Quidé, Y., ... Morey, R. A. (Accepted/In press). Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium. Biological Psychiatry Global Open Science. https://doi.org/10.1016/j.bpsgos.2023.05.006

@article{cedb43ae2c50412b8213b1f63a8c00d5,

title = "Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium",

abstract = "Background: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n = 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)–only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network–related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.",

keywords = "ITRED, Machine learning, PTSD, Re-experiencing, Resting-state functional connectivity, Trauma exposure",

author = "Benjamin Suarez-Jimenez and Amit Lazarov and Xi Zhu and Sigal Zilcha-Mano and Yoojean Kim and Marino, {Claire E.} and Pavel Rjabtsenkov and Bavdekar, {Shreya Y.} and Pine, {Daniel S.} and Yair Bar-Haim and Larson, {Christine L.} and Huggins, {Ashley A.} and {Terri deRoon-Cassini}, deRoon-Cassini and Carissa Tomas and Jacklynn Fitzgerald and Mitzy Kennis and Tim Varkevisser and Elbert Geuze and Yann Quid{\'e} and {El Hage}, Wissam and Xin Wang and O'Leary, {Erin N.} and Cotton, {Andrew S.} and Hong Xie and Chiahao Shih and Disner, {Seth G.} and Davenport, {Nicholas D.} and Sponheim, {Scott R.} and Koch, {Saskia B.J.} and Frijling, {Jessie L.} and Laura Nawijn and {van Zuiden}, Mirjam and Miranda Olff and Veltman, {Dick J.} and Gordon, {Evan M.} and Geoffery May and Nelson, {Steven M.} and Meilin Jia-Richards and Yuval Neria and Morey, {Rajendra A.}",

note = "Funding Information: This work was supported by National Institute of Mental Health Grant Nos. K01MH118428 (to BS-J), R01MH131532 (to BS-J), K01MH122774 (to XZ), R01MH105355 (to YN), 1R01MH106574 (to CLL, TdR-C), 1R01MH110483 (to XW), 1R21MH098198 (to XW), and 1R21MH125277 (to XW); National Eye Institute Core Grant No. P30 EY001319 (to BS-J); Brain and Behavior Research Foundation NARSAD Young Investigator Grants (to BS-J, XZ); Israel Science Foundation Grant No. 374/20 (to AL); National Institute of Mental Health Intramural Research Program Project Grant No. ZIA-MH-002782 (to DSP); the Programme Hospitalier de Recherche Clinique (to WEH); Fondation Pierre Deniker (to WEH); SFR Grant No. FED4226 (to WEH); VA Office of Rehabilitation Research and Development Grant Nos. 1IK2RX000709 (to SGD), I01RX000622 (to NDD), 1K1RX002325 (to SRS), and 1K2RX002922 (to SRS); Congressionally Directed Medical Research Program Grant No. W81XWH-08-2-0038 (to NDD); Netherlands Organization for Health Research and Development Grant No. 40-00812-98-10041 [to SBJK, JLF, LN, MvZ, MO, DJV]); Academic Medical Center Research Council Grant No. 110614 (to SBJK, JLF, LN, MvZ, MO, DJV); VA Clinical Science Research and Development Grant No. 1IK2CX001680 [to EMG, GM, SMN]; and VISN17 Center of Excellence Pilot funding (to EMG, GM, SMN). The funding agencies had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication. WEH received support from Air Liquide, CHUGAI, EISAI, Jazz Pharmaceuticals, Janssen, Lundbeck, Otsuka, and UCB for work unrelated to the current study. All other authors report no biomedical financial interests or potential conflicts of interest. Funding Information: This work was supported by National Institute of Mental Health Grant Nos. K01MH118428 (to BS-J), R01MH131532 (to BS-J), K01MH122774 (to XZ), R01MH105355 (to YN), 1R01MH106574 (to CLL, TdR-C), 1R01MH110483 (to XW), 1R21MH098198 (to XW), and 1R21MH125277 (to XW); National Eye Institute Core Grant No. P30 EY001319 (to BS-J); Brain and Behavior Research Foundation NARSAD Young Investigator Grants (to BS-J, XZ); Israel Science Foundation Grant No. 374/20 (to AL); National Institute of Mental Health Intramural Research Program Project Grant No. ZIA-MH-002782 (to DSP); the Programme Hospitalier de Recherche Clinique (to WEH); Fondation Pierre Deniker (to WEH); SFR Grant No. FED4226 (to WEH); VA Office of Rehabilitation Research and Development Grant Nos. 1IK2RX000709 (to SGD), I01RX000622 (to NDD), 1K1RX002325 (to SRS), and 1K2RX002922 (to SRS); Congressionally Directed Medical Research Program Grant No. W81XWH-08-2-0038 (to NDD); Netherlands Organization for Health Research and Development Grant No. 40-00812-98-10041 [to SBJK, JLF, LN, MvZ, MO, DJV]) ; Academic Medical Center Research Council Grant No. 110614 (to SBJK, JLF, LN, MvZ, MO, DJV); VA Clinical Science Research and Development Grant No. 1IK2CX001680 [to EMG, GM, SMN]; and VISN17 Center of Excellence Pilot funding (to EMG, GM, SMN). The funding agencies had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication. Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

doi = "10.1016/j.bpsgos.2023.05.006",

language = "English",

journal = "Biological Psychiatry Global Open Science",

issn = "2667-1743",

publisher = "Elsevier",

}

Suarez-Jimenez, B, Lazarov, A, Zhu, X, Zilcha-Mano, S, Kim, Y, Marino, CE, Rjabtsenkov, P, Bavdekar, SY, Pine, DS, Bar-Haim, Y, Larson, CL, Huggins, AA, Terri deRoon-Cassini, D-C, Tomas, C, Fitzgerald, J, Kennis, M, Varkevisser, T, Geuze, E, Quidé, Y, El Hage, W, Wang, X, O'Leary, EN, Cotton, AS, Xie, H, Shih, C, Disner, SG, Davenport, ND, Sponheim, SR, Koch, SBJ, Frijling, JL, Nawijn, L, van Zuiden, M, Olff, M, Veltman, DJ, Gordon, EM, May, G, Nelson, SM, Jia-Richards, M, Neria, Y & Morey, RA 2023, 'Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium', Biological Psychiatry Global Open Science. https://doi.org/10.1016/j.bpsgos.2023.05.006

TY - JOUR

T1 - Intrusive Traumatic Re-Experiencing Domain

T2 - Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

AU - Suarez-Jimenez, Benjamin

AU - Lazarov, Amit

AU - Zhu, Xi

AU - Zilcha-Mano, Sigal

AU - Kim, Yoojean

AU - Marino, Claire E.

AU - Rjabtsenkov, Pavel

AU - Bavdekar, Shreya Y.

AU - Pine, Daniel S.

AU - Bar-Haim, Yair

AU - Larson, Christine L.

AU - Huggins, Ashley A.

AU - Terri deRoon-Cassini, deRoon-Cassini

AU - Tomas, Carissa

AU - Fitzgerald, Jacklynn

AU - Kennis, Mitzy

AU - Varkevisser, Tim

AU - Geuze, Elbert

AU - Quidé, Yann

AU - El Hage, Wissam

AU - Wang, Xin

AU - O'Leary, Erin N.

AU - Cotton, Andrew S.

AU - Xie, Hong

AU - Shih, Chiahao

AU - Disner, Seth G.

AU - Davenport, Nicholas D.

AU - Sponheim, Scott R.

AU - Koch, Saskia B.J.

AU - Frijling, Jessie L.

AU - Nawijn, Laura

AU - van Zuiden, Mirjam

AU - Olff, Miranda

AU - Veltman, Dick J.

AU - Gordon, Evan M.

AU - May, Geoffery

AU - Nelson, Steven M.

AU - Jia-Richards, Meilin

AU - Neria, Yuval

AU - Morey, Rajendra A.

N1 - Funding Information: This work was supported by National Institute of Mental Health Grant Nos. K01MH118428 (to BS-J), R01MH131532 (to BS-J), K01MH122774 (to XZ), R01MH105355 (to YN), 1R01MH106574 (to CLL, TdR-C), 1R01MH110483 (to XW), 1R21MH098198 (to XW), and 1R21MH125277 (to XW); National Eye Institute Core Grant No. P30 EY001319 (to BS-J); Brain and Behavior Research Foundation NARSAD Young Investigator Grants (to BS-J, XZ); Israel Science Foundation Grant No. 374/20 (to AL); National Institute of Mental Health Intramural Research Program Project Grant No. ZIA-MH-002782 (to DSP); the Programme Hospitalier de Recherche Clinique (to WEH); Fondation Pierre Deniker (to WEH); SFR Grant No. FED4226 (to WEH); VA Office of Rehabilitation Research and Development Grant Nos. 1IK2RX000709 (to SGD), I01RX000622 (to NDD), 1K1RX002325 (to SRS), and 1K2RX002922 (to SRS); Congressionally Directed Medical Research Program Grant No. W81XWH-08-2-0038 (to NDD); Netherlands Organization for Health Research and Development Grant No. 40-00812-98-10041 [to SBJK, JLF, LN, MvZ, MO, DJV]); Academic Medical Center Research Council Grant No. 110614 (to SBJK, JLF, LN, MvZ, MO, DJV); VA Clinical Science Research and Development Grant No. 1IK2CX001680 [to EMG, GM, SMN]; and VISN17 Center of Excellence Pilot funding (to EMG, GM, SMN). The funding agencies had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication. WEH received support from Air Liquide, CHUGAI, EISAI, Jazz Pharmaceuticals, Janssen, Lundbeck, Otsuka, and UCB for work unrelated to the current study. All other authors report no biomedical financial interests or potential conflicts of interest. Funding Information: This work was supported by National Institute of Mental Health Grant Nos. K01MH118428 (to BS-J), R01MH131532 (to BS-J), K01MH122774 (to XZ), R01MH105355 (to YN), 1R01MH106574 (to CLL, TdR-C), 1R01MH110483 (to XW), 1R21MH098198 (to XW), and 1R21MH125277 (to XW); National Eye Institute Core Grant No. P30 EY001319 (to BS-J); Brain and Behavior Research Foundation NARSAD Young Investigator Grants (to BS-J, XZ); Israel Science Foundation Grant No. 374/20 (to AL); National Institute of Mental Health Intramural Research Program Project Grant No. ZIA-MH-002782 (to DSP); the Programme Hospitalier de Recherche Clinique (to WEH); Fondation Pierre Deniker (to WEH); SFR Grant No. FED4226 (to WEH); VA Office of Rehabilitation Research and Development Grant Nos. 1IK2RX000709 (to SGD), I01RX000622 (to NDD), 1K1RX002325 (to SRS), and 1K2RX002922 (to SRS); Congressionally Directed Medical Research Program Grant No. W81XWH-08-2-0038 (to NDD); Netherlands Organization for Health Research and Development Grant No. 40-00812-98-10041 [to SBJK, JLF, LN, MvZ, MO, DJV]) ; Academic Medical Center Research Council Grant No. 110614 (to SBJK, JLF, LN, MvZ, MO, DJV); VA Clinical Science Research and Development Grant No. 1IK2CX001680 [to EMG, GM, SMN]; and VISN17 Center of Excellence Pilot funding (to EMG, GM, SMN). The funding agencies had no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication. Publisher Copyright: © 2023 The Authors

PY - 2023

Y1 - 2023

N2 - Background: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n = 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)–only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network–related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.

AB - Background: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n = 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)–only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network–related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.

KW - ITRED

KW - Machine learning

KW - PTSD

KW - Re-experiencing

KW - Resting-state functional connectivity

KW - Trauma exposure

UR - http://www.scopus.com/inward/record.url?scp=85169476683&partnerID=8YFLogxK

U2 - 10.1016/j.bpsgos.2023.05.006

DO - 10.1016/j.bpsgos.2023.05.006

M3 - Article

AN - SCOPUS:85169476683

SN - 2667-1743

JO - Biological Psychiatry Global Open Science

JF - Biological Psychiatry Global Open Science

ER -

Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium

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