Structural covariance networks in post-traumatic stress disorder:: A multisite ENIGMA-PGC study

G. Rakesh; M. Logue; E. Clarke-Rubright; B.M. O’Leary; C.C. Haswell; H. Xie; P.M. Thompson; E.L. Dennis; N. Jahanshad; S.B.J. Koch; J.L. Frijling; L. Nawijn; M. Olff; M. van Zuiden; F.M. Rashid; X. Zhu; M.D. de Bellis; J.K. Daniels; A. Sierk; A. Manthey; J.S. Stevens; T. Jovanovic; M.B. Stein; M. Shenton; S.J.A. van de Werff; N.J.A. van de Wee; R.R.J.M. Vermeiren; C. Schmahl; J. Herzog; M.L. Kaufman; L. O’Connor; L.A.M. Lebois; J.T. Baker; S.A. Gruber; J.D. Wolff; E.J. Wolf; S.R. Wintemitz; A. Gönenc; K.J. Ressler; D.B. Hofmann; R.A. Bryant; M. Korgaonkar; E. Andrew; L. Wang; Y. Zhu; G. Li; D.J. Stein; J. Ipser; S. Koopowitz; S. Mueller; A. Hudson; L. Phan; B. Hosseini; K.M. Angstadt; A.P. King; M. Tamburrino; B.C. Skilliter; E. Geuze; S.J.H. van Rooij; T. Varkevisser; K.A. McLaughlin; M.A. Sheridan; M. Peverill; K. Sambrook; D.J. Veltman; K. Thomaes; S.M. Nelson; G. May; L. Baugh; G. Forster; R. Simons; J. Simons; V. Magnotta; K.A. Fercho; A. Maron-Katz; S. du Plessis; S. Disner; N. Davenport; S.I. Thomopoulos; B. Suarez-Jimenez; T.D. Wager; Y. Neria; N. Fani; H. Walter; I. Koerte; J. Bomyea; K. Choi; A.N. Simmons; E. Olson; I. Rosso; T. Straube; T.G.M. van Erp; T. Chen; A.S. Cotton; J. Wall; R.J. Davidson; T. deRoon-Cassini; J. Fitzgerald; C. Larson; E. Gordon; D. Grupe; S. Sponheim; A. Etkin; S. Seedat; I. Harpaz-Rotem; K. Wrocklage; C.G. Abdallah; J.H. Krystal; I. Levy; H. Gomaa; M.A.B. McMahon; I. Liberzon; X. Wang; D. Sun; R.A. Morey

doi:10.1101/2021.03.13.432212

Structural covariance networks in post-traumatic stress disorder: A multisite ENIGMA-PGC study

G. Rakesh, M. Logue, E. Clarke-Rubright, B.M. O’Leary, C.C. Haswell, H. Xie, P.M. Thompson, E.L. Dennis, N. Jahanshad, S.B.J. Koch, J.L. Frijling, L. Nawijn, M. Olff, M. van Zuiden, F.M. Rashid, X. Zhu, M.D. de Bellis, J.K. Daniels, A. Sierk, A. MantheyJ.S. Stevens, T. Jovanovic, M.B. Stein, M. Shenton, S.J.A. van de Werff, N.J.A. van de Wee, R.R.J.M. Vermeiren, C. Schmahl, J. Herzog, M.L. Kaufman, L. O’Connor, L.A.M. Lebois, J.T. Baker, S.A. Gruber, J.D. Wolff, E.J. Wolf, S.R. Wintemitz, A. Gönenc, K.J. Ressler, D.B. Hofmann, R.A. Bryant, M. Korgaonkar, E. Andrew, L. Wang, Y. Zhu, G. Li, D.J. Stein, J. Ipser, S. Koopowitz, S. Mueller, A. Hudson, L. Phan, B. Hosseini, K.M. Angstadt, A.P. King, M. Tamburrino, B.C. Skilliter, E. Geuze, S.J.H. van Rooij, T. Varkevisser, K.A. McLaughlin, M.A. Sheridan, M. Peverill, K. Sambrook, D.J. Veltman, K. Thomaes, S.M. Nelson, G. May, L. Baugh, G. Forster, R. Simons, J. Simons, V. Magnotta, K.A. Fercho, A. Maron-Katz, S. du Plessis, S. Disner, N. Davenport, S.I. Thomopoulos, B. Suarez-Jimenez, T.D. Wager, Y. Neria, N. Fani, H. Walter, I. Koerte, J. Bomyea, K. Choi, A.N. Simmons, E. Olson, I. Rosso, T. Straube, T.G.M. van Erp, T. Chen, A.S. Cotton, J. Wall, R.J. Davidson, T. deRoon-Cassini, J. Fitzgerald, C. Larson, E. Gordon, D. Grupe, S. Sponheim, A. Etkin, S. Seedat, I. Harpaz-Rotem, K. Wrocklage, C.G. Abdallah, J.H. Krystal, I. Levy, H. Gomaa, M.A.B. McMahon, I. Liberzon, X. Wang, D. Sun, R.A. Morey

Research output: Working paper › Preprint › Academic

Abstract

Introduction - Cortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) constructed from CT and SA may represent developmental associations, or unique interactions between brain regions, possibly influenced by a common causal antecedent. The ENIGMA-PGC PTSD Working Group aggregated PTSD and control subjects’ data from 29 cohorts in five countries (n=3439). Methods - Using Destrieux Atlas, we built SCNs and compared centrality measures between PTSD subjects and controls. Centrality is a graph theory measure derived using SCN. Results - Notable nodes with higher CT-based centrality in PTSD compared to controls were left fusiform gyrus, left superior temporal gyrus, and right inferior temporal gyrus. We found sex-based centrality differences in bilateral frontal lobe regions, left anterior cingulate, left superior occipital cortex and right ventromedial prefrontal cortex (vmPFC). Comorbid PTSD and MDD showed higher CT-based centrality in the right anterior cingulate gyrus, right parahippocampal gyrus and lower SA-based centrality in left insular gyrus. Conclusion - Unlike previous studies with smaller sample sizes (≤318), our study found differences in centrality measures using a sample size of 3439 subjects. This is the first cross-sectional study to examine SCN interactions with age, sex, and comorbid MDD. Although limited to group level inferences, centrality measures offer insights into a node’s relationship to the entire functional connectome unlike approaches like seed-based connectivity or independent component analysis. Nodes having higher centrality have greater structural or functional connections, lending them invaluable for translational treatments like neuromodulation.

Original language	English
Publisher	bioRxiv
Number of pages	24
DOIs	https://doi.org/10.1101/2021.03.13.432212
Publication status	Published - 2021
Externally published	Yes

Publication series

Name	bioRxiv
Publisher	Cold Spring Harbor Laboratory
ISSN (Print)	2692-8205

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10.1101/2021.03.13.432212

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Rakesh, G., Logue, M., Clarke-Rubright, E., O’Leary, B. M., Haswell, C. C., Xie, H., Thompson, P. M., Dennis, E. L., Jahanshad, N., Koch, S. B. J., Frijling, J. L., Nawijn, L., Olff, M., van Zuiden, M., Rashid, F. M., Zhu, X., de Bellis, M. D., Daniels, J. K., Sierk, A., ... Morey, R. A. (2021). Structural covariance networks in post-traumatic stress disorder: A multisite ENIGMA-PGC study. (bioRxiv). bioRxiv. https://doi.org/10.1101/2021.03.13.432212

@techreport{547e946b36c0437a8c77a1c124adc31d,

title = "Structural covariance networks in post-traumatic stress disorder:: A multisite ENIGMA-PGC study",

abstract = "Introduction - Cortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) constructed from CT and SA may represent developmental associations, or unique interactions between brain regions, possibly influenced by a common causal antecedent. The ENIGMA-PGC PTSD Working Group aggregated PTSD and control subjects{\textquoteright} data from 29 cohorts in five countries (n=3439). Methods - Using Destrieux Atlas, we built SCNs and compared centrality measures between PTSD subjects and controls. Centrality is a graph theory measure derived using SCN. Results - Notable nodes with higher CT-based centrality in PTSD compared to controls were left fusiform gyrus, left superior temporal gyrus, and right inferior temporal gyrus. We found sex-based centrality differences in bilateral frontal lobe regions, left anterior cingulate, left superior occipital cortex and right ventromedial prefrontal cortex (vmPFC). Comorbid PTSD and MDD showed higher CT-based centrality in the right anterior cingulate gyrus, right parahippocampal gyrus and lower SA-based centrality in left insular gyrus. Conclusion - Unlike previous studies with smaller sample sizes (≤318), our study found differences in centrality measures using a sample size of 3439 subjects. This is the first cross-sectional study to examine SCN interactions with age, sex, and comorbid MDD. Although limited to group level inferences, centrality measures offer insights into a node{\textquoteright}s relationship to the entire functional connectome unlike approaches like seed-based connectivity or independent component analysis. Nodes having higher centrality have greater structural or functional connections, lending them invaluable for translational treatments like neuromodulation.",

author = "G. Rakesh and M. Logue and E. Clarke-Rubright and B.M. O{\textquoteright}Leary and C.C. Haswell and H. Xie and P.M. Thompson and E.L. Dennis and N. Jahanshad and S.B.J. Koch and J.L. Frijling and L. Nawijn and M. Olff and {van Zuiden}, M. and F.M. Rashid and X. Zhu and {de Bellis}, M.D. and J.K. Daniels and A. Sierk and A. Manthey and J.S. Stevens and T. Jovanovic and M.B. Stein and M. Shenton and {van de Werff}, S.J.A. and {van de Wee}, N.J.A. and R.R.J.M. Vermeiren and C. Schmahl and J. Herzog and M.L. Kaufman and L. O{\textquoteright}Connor and L.A.M. Lebois and J.T. Baker and S.A. Gruber and J.D. Wolff and E.J. Wolf and S.R. Wintemitz and A. G{\"o}nenc and K.J. Ressler and D.B. Hofmann and R.A. Bryant and M. Korgaonkar and E. Andrew and L. Wang and Y. Zhu and G. Li and D.J. Stein and J. Ipser and S. Koopowitz and S. Mueller and A. Hudson and L. Phan and B. Hosseini and K.M. Angstadt and A.P. King and M. Tamburrino and B.C. Skilliter and E. Geuze and {van Rooij}, S.J.H. and T. Varkevisser and K.A. McLaughlin and M.A. Sheridan and M. Peverill and K. Sambrook and D.J. Veltman and K. Thomaes and S.M. Nelson and G. May and L. Baugh and G. Forster and R. Simons and J. Simons and V. Magnotta and K.A. Fercho and A. Maron-Katz and {du Plessis}, S. and S. Disner and N. Davenport and S.I. Thomopoulos and B. Suarez-Jimenez and T.D. Wager and Y. Neria and N. Fani and H. Walter and I. Koerte and J. Bomyea and K. Choi and A.N. Simmons and E. Olson and I. Rosso and T. Straube and {van Erp}, T.G.M. and T. Chen and A.S. Cotton and J. Wall and R.J. Davidson and T. deRoon-Cassini and J. Fitzgerald and C. Larson and E. Gordon and D. Grupe and S. Sponheim and A. Etkin and S. Seedat and I. Harpaz-Rotem and K. Wrocklage and C.G. Abdallah and J.H. Krystal and I. Levy and H. Gomaa and M.A.B. McMahon and I. Liberzon and X. Wang and D. Sun and R.A. Morey",

year = "2021",

doi = "10.1101/2021.03.13.432212",

language = "English",

series = "bioRxiv",

publisher = "bioRxiv",

type = "WorkingPaper",

institution = "bioRxiv",

}

Rakesh, G, Logue, M, Clarke-Rubright, E, O’Leary, BM, Haswell, CC, Xie, H, Thompson, PM, Dennis, EL, Jahanshad, N, Koch, SBJ, Frijling, JL, Nawijn, L, Olff, M, van Zuiden, M, Rashid, FM, Zhu, X, de Bellis, MD, Daniels, JK, Sierk, A, Manthey, A, Stevens, JS, Jovanovic, T, Stein, MB, Shenton, M, van de Werff, SJA, van de Wee, NJA, Vermeiren, RRJM, Schmahl, C, Herzog, J, Kaufman, ML, O’Connor, L, Lebois, LAM, Baker, JT, Gruber, SA, Wolff, JD, Wolf, EJ, Wintemitz, SR, Gönenc, A, Ressler, KJ, Hofmann, DB, Bryant, RA, Korgaonkar, M, Andrew, E, Wang, L, Zhu, Y, Li, G, Stein, DJ, Ipser, J, Koopowitz, S, Mueller, S, Hudson, A, Phan, L, Hosseini, B, Angstadt, KM, King, AP, Tamburrino, M, Skilliter, BC, Geuze, E, van Rooij, SJH, Varkevisser, T, McLaughlin, KA, Sheridan, MA, Peverill, M, Sambrook, K, Veltman, DJ, Thomaes, K, Nelson, SM, May, G, Baugh, L, Forster, G, Simons, R, Simons, J, Magnotta, V, Fercho, KA, Maron-Katz, A, du Plessis, S, Disner, S, Davenport, N, Thomopoulos, SI, Suarez-Jimenez, B, Wager, TD, Neria, Y, Fani, N, Walter, H, Koerte, I, Bomyea, J, Choi, K, Simmons, AN, Olson, E, Rosso, I, Straube, T, van Erp, TGM, Chen, T, Cotton, AS, Wall, J, Davidson, RJ, deRoon-Cassini, T, Fitzgerald, J, Larson, C, Gordon, E, Grupe, D, Sponheim, S, Etkin, A, Seedat, S, Harpaz-Rotem, I, Wrocklage, K, Abdallah, CG, Krystal, JH, Levy, I, Gomaa, H, McMahon, MAB, Liberzon, I, Wang, X, Sun, D & Morey, RA 2021 'Structural covariance networks in post-traumatic stress disorder: A multisite ENIGMA-PGC study' bioRxiv, bioRxiv. https://doi.org/10.1101/2021.03.13.432212

TY - UNPB

T1 - Structural covariance networks in post-traumatic stress disorder:

T2 - A multisite ENIGMA-PGC study

AU - Rakesh, G.

AU - Logue, M.

AU - Clarke-Rubright, E.

AU - O’Leary, B.M.

AU - Haswell, C.C.

AU - Xie, H.

AU - Thompson, P.M.

AU - Dennis, E.L.

AU - Jahanshad, N.

AU - Koch, S.B.J.

AU - Frijling, J.L.

AU - Nawijn, L.

AU - Olff, M.

AU - van Zuiden, M.

AU - Rashid, F.M.

AU - Zhu, X.

AU - de Bellis, M.D.

AU - Daniels, J.K.

AU - Sierk, A.

AU - Manthey, A.

AU - Stevens, J.S.

AU - Jovanovic, T.

AU - Stein, M.B.

AU - Shenton, M.

AU - van de Werff, S.J.A.

AU - van de Wee, N.J.A.

AU - Vermeiren, R.R.J.M.

AU - Schmahl, C.

AU - Herzog, J.

AU - Kaufman, M.L.

AU - O’Connor, L.

AU - Lebois, L.A.M.

AU - Baker, J.T.

AU - Gruber, S.A.

AU - Wolff, J.D.

AU - Wolf, E.J.

AU - Wintemitz, S.R.

AU - Gönenc, A.

AU - Ressler, K.J.

AU - Hofmann, D.B.

AU - Bryant, R.A.

AU - Korgaonkar, M.

AU - Andrew, E.

AU - Wang, L.

AU - Zhu, Y.

AU - Li, G.

AU - Stein, D.J.

AU - Ipser, J.

AU - Koopowitz, S.

AU - Mueller, S.

AU - Hudson, A.

AU - Phan, L.

AU - Hosseini, B.

AU - Angstadt, K.M.

AU - King, A.P.

AU - Tamburrino, M.

AU - Skilliter, B.C.

AU - Geuze, E.

AU - van Rooij, S.J.H.

AU - Varkevisser, T.

AU - McLaughlin, K.A.

AU - Sheridan, M.A.

AU - Peverill, M.

AU - Sambrook, K.

AU - Veltman, D.J.

AU - Thomaes, K.

AU - Nelson, S.M.

AU - May, G.

AU - Baugh, L.

AU - Forster, G.

AU - Simons, R.

AU - Simons, J.

AU - Magnotta, V.

AU - Fercho, K.A.

AU - Maron-Katz, A.

AU - du Plessis, S.

AU - Disner, S.

AU - Davenport, N.

AU - Thomopoulos, S.I.

AU - Suarez-Jimenez, B.

AU - Wager, T.D.

AU - Neria, Y.

AU - Fani, N.

AU - Walter, H.

AU - Koerte, I.

AU - Bomyea, J.

AU - Choi, K.

AU - Simmons, A.N.

AU - Olson, E.

AU - Rosso, I.

AU - Straube, T.

AU - van Erp, T.G.M.

AU - Chen, T.

AU - Cotton, A.S.

AU - Wall, J.

AU - Davidson, R.J.

AU - deRoon-Cassini, T.

AU - Fitzgerald, J.

AU - Larson, C.

AU - Gordon, E.

AU - Grupe, D.

AU - Sponheim, S.

AU - Etkin, A.

AU - Seedat, S.

AU - Harpaz-Rotem, I.

AU - Wrocklage, K.

AU - Abdallah, C.G.

AU - Krystal, J.H.

AU - Levy, I.

AU - Gomaa, H.

AU - McMahon, M.A.B.

AU - Liberzon, I.

AU - Wang, X.

AU - Sun, D.

AU - Morey, R.A.

PY - 2021

Y1 - 2021

N2 - Introduction - Cortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) constructed from CT and SA may represent developmental associations, or unique interactions between brain regions, possibly influenced by a common causal antecedent. The ENIGMA-PGC PTSD Working Group aggregated PTSD and control subjects’ data from 29 cohorts in five countries (n=3439). Methods - Using Destrieux Atlas, we built SCNs and compared centrality measures between PTSD subjects and controls. Centrality is a graph theory measure derived using SCN. Results - Notable nodes with higher CT-based centrality in PTSD compared to controls were left fusiform gyrus, left superior temporal gyrus, and right inferior temporal gyrus. We found sex-based centrality differences in bilateral frontal lobe regions, left anterior cingulate, left superior occipital cortex and right ventromedial prefrontal cortex (vmPFC). Comorbid PTSD and MDD showed higher CT-based centrality in the right anterior cingulate gyrus, right parahippocampal gyrus and lower SA-based centrality in left insular gyrus. Conclusion - Unlike previous studies with smaller sample sizes (≤318), our study found differences in centrality measures using a sample size of 3439 subjects. This is the first cross-sectional study to examine SCN interactions with age, sex, and comorbid MDD. Although limited to group level inferences, centrality measures offer insights into a node’s relationship to the entire functional connectome unlike approaches like seed-based connectivity or independent component analysis. Nodes having higher centrality have greater structural or functional connections, lending them invaluable for translational treatments like neuromodulation.

AB - Introduction - Cortical thickness (CT) and surface area (SA) are established biomarkers of brain pathology in posttraumatic stress disorder (PTSD). Structural covariance networks (SCN) constructed from CT and SA may represent developmental associations, or unique interactions between brain regions, possibly influenced by a common causal antecedent. The ENIGMA-PGC PTSD Working Group aggregated PTSD and control subjects’ data from 29 cohorts in five countries (n=3439). Methods - Using Destrieux Atlas, we built SCNs and compared centrality measures between PTSD subjects and controls. Centrality is a graph theory measure derived using SCN. Results - Notable nodes with higher CT-based centrality in PTSD compared to controls were left fusiform gyrus, left superior temporal gyrus, and right inferior temporal gyrus. We found sex-based centrality differences in bilateral frontal lobe regions, left anterior cingulate, left superior occipital cortex and right ventromedial prefrontal cortex (vmPFC). Comorbid PTSD and MDD showed higher CT-based centrality in the right anterior cingulate gyrus, right parahippocampal gyrus and lower SA-based centrality in left insular gyrus. Conclusion - Unlike previous studies with smaller sample sizes (≤318), our study found differences in centrality measures using a sample size of 3439 subjects. This is the first cross-sectional study to examine SCN interactions with age, sex, and comorbid MDD. Although limited to group level inferences, centrality measures offer insights into a node’s relationship to the entire functional connectome unlike approaches like seed-based connectivity or independent component analysis. Nodes having higher centrality have greater structural or functional connections, lending them invaluable for translational treatments like neuromodulation.

UR - https://www.mendeley.com/catalogue/ce8d2e5e-5386-3d6a-bb62-81d0c78a4ec7/

U2 - 10.1101/2021.03.13.432212

DO - 10.1101/2021.03.13.432212

M3 - Preprint

T3 - bioRxiv

BT - Structural covariance networks in post-traumatic stress disorder:

PB - bioRxiv

ER -

Structural covariance networks in post-traumatic stress disorder: A multisite ENIGMA-PGC study

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