Default mode network abnormalities in posttraumatic stress disorder: A novel network-restricted topology approach
Open accessAbstract
Disruption in the default mode network (DMN) has been implicated in numerous neuropsychiatric disorders, including posttraumatic stress disorder (PTSD). However, studies have largely been limited to seed-based methods and involved inconsistent definitions of the DMN. Recent advances in neuroimaging and graph theory now permit the systematic exploration of intrinsic brain networks. In this study, we used resting-state functional magnetic resonance imaging (fMRI), diffusion MRI, and graph theoretical analyses to systematically examine the DMN connectivity and its relationship with PTSD symptom severity in a cohort of 65 combat-exposed US Veterans. We employed metrics that index overall connectivity strength, network integration (global efficiency), and network segregation (clustering coefficient). Then, we conducted a modularity and network-based statistical analysis to identify DMN regions of particular importance in PTSD. Finally, structural connectivity analyses were used to probe whether white matter abnormalities are associated with the identified functional DMN changes. We found decreased DMN functional connectivity strength to be associated with increased PTSD symptom severity. Further topological characterization suggests decreased functional integration and increased segregation in subjects with severe PTSD. Modularity analyses suggest a spared connectivity in the posterior DMN community (posterior cingulate, precuneus, angular gyrus) despite overall DMN weakened connections with increasing PTSD severity. Edge-wise network-based statistical analyses revealed a prefrontal dysconnectivity. Analysis of the diffusion networks revealed no alterations in overall strength or prefrontal structural connectivity. DMN abnormalities in patients with severe PTSD symptoms are characterized by decreased overall interconnections. On a finer scale, we found a pattern of prefrontal dysconnectivity, but increased cohesiveness in the posterior DMN community and relative sparing of connectivity in this region. The DMN measures established in this study may serve as a biomarker of disease severity and could have potential utility in developing circuit-based therapeutics.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
All three disorders (BPD, PTSD, major depression) show increased activation in the DMN.
“All three disorders showed increased activation in the DMN, a system that tends to be disconnected from the PfC in PTSD [2] and to be hypoactivated in executive function tasks in BPD [1].”
From Complex PTSD and borderline personality disorder (2021) · cites this paper as [2]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424 · see citing works
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · see citing works
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · cited 1× · see citing works
“m 15 April 2018; Accepted 1 Ma ventromedial prefrontal cortex (vmPFC), dorsomedial PFC (dmPFC), posterior cingulate cortex (PCC), precuneus, medial temporal lobe, and medial and lateral parietal cortices (Andrews-Hanna et al., 2010; Buckner et al., 2008; Yeo et al., 2011).”
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Efficient behavior of small-world networks
Latora, V., & Marchiori, M. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.198701 · Cited by 5,119 · see citing works
A multi-modal parcellation of human cerebral cortex
Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., et al. (2016) · Nature · doi:10.1038/nature18933 · Cited by 5,111 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106 · see citing works
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471 · see citing works
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307 · see citing works
Specificity and Stability in Topology of Protein Networks
Maslov, S., & Sneppen, K. (2002) · Science · doi:10.1126/science.1065103 · Cited by 3,051 · see citing works
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038 · see citing works
Resolution limit in community detection
Fortunato, S., & Barthélemy, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605965104 · Cited by 3,024 · see citing works
Functional-anatomic fractionation of the brain’s default network
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.005 · Cited by 2,767 · see citing works
Network-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750 · see citing works
Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.036 · Cited by 2,387 · see citing works
The connectomics of brain disorders
Fornito, A., Zalesky, A., & Breakspear, M. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3901 · Cited by 1,734 · see citing works
The role of medial prefrontal cortex in memory and decision making
Euston, D. R., Gruber, A. J., & McNaughton, B. L. (2012) · Neuron · doi:10.1016/j.neuron.2012.12.002 · Cited by 1,541 · see citing works
Defining and evaluating network communities based on ground-truth
Yang, J., & Leskovec, J. (2013) · Knowledge and Information Systems · doi:10.1007/s10115-013-0693-z · Cited by 1,531 · see citing works
Sporns, O., & Betzel, R. F. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033634 · Cited by 1,334 · see citing works
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161 · see citing works
Modular and hierarchically modular organization of brain networks
Meunier, D., Lambiotte, R., & Bullmore, E. T. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00200 · Cited by 1,156 · see citing works
Intensity and coherence of motifs in weighted complex networks.
Onnela, J., Saramäki, J., Kertész, J., & Kaski, K. (2004) · Physical review. E, Statistical, nonlinear, and soft matter physics · doi:10.1103/physreve.71.065103 · Cited by 1,087 · see citing works
Dissociable Medial Prefrontal Contributions to Judgments of Similar and Dissimilar Others
Mitchell, J. P., Macrae, C. N., & Banaji, M. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.040 · Cited by 1,023 · see citing works
Behavioral interpretations of intrinsic connectivity networks
Laird, A. R., Fox, P. M., Eickhoff, S. B., Turner, J. A., Ray, K. L., McKay, D. R., Glahn, D. C., Beckmann, C. F., Smith, S. M., & Fox, P. T. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00077 · Cited by 1,023 · see citing works
Performance of modularity maximization in practical contexts
Good, B. H., de Montjoye, Y.-A., & Clauset, A. (2010) · Physical Review E · doi:10.1103/physreve.81.046106 · Cited by 937 · see citing works
Consensus clustering in complex networks
Lancichinetti, A., & Fortunato, S. (2012) · Scientific Reports · doi:10.1038/srep00336 · Cited by 898 · see citing works
Resting-state functional connectivity in major depressive disorder: A review
Mulders, P. C., van Eijndhoven, P. F., Schene, A. H., Beckmann, C. F., & Tendolkar, I. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.07.014 · Cited by 884 · see citing works
Weight-conserving characterization of complex functional brain networks
Rubinov, M., & Sporns, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.069 · Cited by 871 · see citing works
Small-World Brain Networks Revisited
Bassett, D. S., & Bullmore, E. T. (2016) · The Neuroscientist · doi:10.1177/1073858416667720 · Cited by 847 · see citing works
Betzel, R. F., Byrge, L., He, Y., Goñi, J., Zuo, X.-N., & Sporns, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.067 · Cited by 807 · see citing works
Communities, modules and large-scale structure in networks
Newman, M. E. J. (2012) · Nature Physics · doi:10.1038/nphys2162 · Cited by 787 · see citing works
Probing and regulating dysfunctional circuits using deep brain stimulation
Lozano, A. M., & Lipsman, N. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.020 · Cited by 665 · see citing works
Yendiki, A. (2011) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2011.00023 · Cited by 590 · see citing works
Betzel, R. F., & Bassett, D. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.006 · Cited by 587 · see citing works
Resting-brain functional connectivity predicted by analytic measures of network communication
Goñi, J., van den Heuvel, M. P., Avena‐Koenigsberger, A., de Mendizábal, N. V., Betzel, R. F., Griffa, A., Hagmann, P., Corominas‐Murtra, B., Thiran, J., & Sporns, O. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315529111 · Cited by 579 · see citing works
Patel, R., Spreng, R. N., Shin, L. M., & Girard, T. A. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.06.003 · Cited by 546 · see citing works
Neuroimaging after mild traumatic brain injury: review and meta-analysis
Eierud, C., Craddock, R. C., Fletcher, S., Aulakh, M., King-Casas, B., Kuehl, D., & LaConte, S. M. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.12.009 · Cited by 524 · see citing works
Spurious group differences due to head motion in a diffusion MRI study
Yendiki, A., Koldewyn, K., Kakunoori, S., Kanwisher, N., & Fischl, B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.027 · Cited by 508 · see citing works
Alexander-Bloch, A. F., Gogtay, N., Meunier, D., Birn, R., Clasen, L., Lalonde, F., Lenroot, R., Giedd, J., & Bullmore, E. T. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00147 · Cited by 480 · see citing works
Self-citationvan den Heuvel, M. P., de Lange, S. D., Zalesky, A., Seguin, C., Yeo, T. B. T., & Schmidt, R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.005 · Cited by 471 · see citing works
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
Red, V., Kelsic, E. D., Mucha, P. J., & Porter, M. A. (2011) · SIAM Review · doi:10.1137/080734315 · Cited by 436 · see citing works
On the use of correlation as a measure of network connectivity
Zalesky, A., Fornito, A., & Bullmore, E. T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.001 · Cited by 430 · see citing works
Bluhm, R. L., Williamson, P. C., Osuch, E. A., Frewen, P. A., Stevens, T. K., Boksman, K., Neufeld, R. W. J., Théberge, J., & Lanius, R. A. (2009) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0925 · Cited by 422 · see citing works
Sripada, R. K., King, A. P., Welsh, R. C., Garfinkel, S. N., Wang, X., Sripada, C. S., & Liberzon, I. (2012) · Psychosomatic Medicine · doi:10.1097/psy.0b013e318273bf33 · Cited by 412 · see citing works
Yamasue, H., Kasai, K., Iwanami, A., Ohtani, T., Yamada, H., Abe, O., Kuroki, N., Fukuda, R., Tochigi, M., Furukawa, S., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530467100 · Cited by 381 · see citing works
Medial prefrontal activity differentiates self from close others
Heatherton, T. F., Wyland, C. L., Macrae, C. N., Demos, K. E., Denny, B. T., & Kelley, W. M. (2006) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsl001 · Cited by 380 · see citing works
Akiki, T. J., Averill, C. L., & Abdallah, C. G. (2017) · Current Psychiatry Reports · doi:10.1007/s11920-017-0840-4 · Cited by 365 · see citing works
Self-citationKoch, S. B. J., van Zuiden, M., Nawijn, L., Frijling, J. L., Veltman, D. J., & Olff, M. (2016) · Depression and Anxiety · doi:10.1002/da.22478 · Cited by 334 · see citing works
Etkin, A., & Schatzberg, A. F. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.10091290 · Cited by 311 · see citing works
Network-Level Structure-Function Relationships in Human Neocortex
Mišić, B., Betzel, R. F., de Reus, M. A., van den Heuvel, M. P., Berman, M. G., McIntosh, A. R., & Sporns, O. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw089 · Cited by 277 · see citing works
Connectome sensitivity or specificity: which is more important?
Zalesky, A., Fornito, A., Cocchi, L., Gollo, L. L., van den Heuvel, M. P., & Breakspear, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.035 · Cited by 275 · see citing works
Lanius, R. A., Bluhm, R. L., Coupland, N. J., Hegadoren, K. M., Rowe, B., Théberge, J., Neufeld, R. W. J., Williamson, P. C., & Brimson, M. (2010) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2009.01391.x · Cited by 273 · see citing works
Psychoradiology: The Frontier of Neuroimaging in Psychiatry
Lui, S., Zhou, X. J., Sweeney, J. A., & Gong, Q. (2016) · Radiology · doi:10.1148/radiol.2016152149 · Cited by 273 · see citing works
Lanius, R. A., Frewen, P. A., Tursich, M., Jetly, R., & McKinnon, M. C. (2015) · European Journal of Psychotraumatology · doi:10.3402/ejpt.v6.27313 · Cited by 246 · see citing works
Keller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., Lado, F. A., Kelly, C., Milham, M., & Mehta, A. D. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4837-12.2013 · Cited by 245 · see citing works
Community detection in networks: Structural communities versus ground truth
Hric, D., Darst, R. K., & Fortunato, S. (2014) · Physical Review E · doi:10.1103/physreve.90.062805 · Cited by 243 · see citing works
Community Detection in Temporal Multilayer Networks, with an Application to Correlation Networks
Bazzi, M., Porter, M. A., Williams, S., McDonald, M., Fenn, D. J., & Howison, S. (2016) · Multiscale Modeling and Simulation · doi:10.1137/15m1009615 · Cited by 188 · see citing works
Ross, D. A., Arbuckle, M. R., Travis, M. J., Dwyer, J. B., van Schalkwyk, G. I., & Ressler, K. J. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.3325 · Cited by 165 · see citing works
Disrupted Functional Brain Connectome in Patients with Posttraumatic Stress Disorder
Lei, D., Li, K., Li, L., Chen, F., Huang, X., Lui, S., Li, J., Bi, F., & Gong, Q. (2015) · Radiology · doi:10.1148/radiol.15141700 · Cited by 164 · see citing works
Real-time fMRI links subjective experience with brain activity during focused attention
Garrison, K. A., Scheinost, D., Worhunsky, P. D., Elwafi, H. M., Thornhill, T. A., Thompson, E., Saron, C., Desbordes, G., Kober, H., Hampson, M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.030 · Cited by 154 · see citing works
Dynamic network structure of interhemispheric coordination
Doron, K. W., Bassett, D. S., & Gazzaniga, M. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216402109 · Cited by 153 · see citing works
Shin, L. M., Lasko, N. B., Macklin, M. L., Karpf, R. D., Milad, M. R., Orr, S. P., Goetz, J. M., Fischman, A. J., Rauch, S. L., & Pitman, R. K. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.138 · Cited by 151 · see citing works
Distinct intrinsic network connectivity patterns of post‐traumatic stress disorder symptom clusters
Tursich, M., Ros, T., Frewen, P. A., Kluetsch, R. C., Calhoun, V. D., & Lanius, R. A. (2015) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12387 · Cited by 148 · see citing works
Network inference with confidence from multivariate time series
Kramer, M., Eden, U. T., Cash, S. S., & Kolaczyk, E. D. (2009) · Physical Review E · doi:10.1103/physreve.79.061916 · Cited by 130 · see citing works
Suo, X., Lei, D., Li, K., Chen, F., Li, F. Y., Li, L., Huang, X., Lui, S., Li, L., Kemp, G. J., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22871 · Cited by 129 · see citing works
An integrated framework for targeting functional networks via transcranial magnetic stimulation
Opitz, A., Fox, M., Craddock, R. C., Colcombe, S. J., & Milham, M. P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.040 · Cited by 116 · see citing works
BETZEL, R. F., GRIFFA, A., AVENA-KOENIGSBERGER, A., GOÑI, J., THIRAN, J.-P., HAGMANN, P., & SPORNS, O. (2013) · Network Science · doi:10.1017/nws.2013.19 · Cited by 113 · see citing works
Bilateral Epidural Prefrontal Cortical Stimulation for Treatment-Resistant Depression
Nahas, Z. H., Anderson, B. S., Borckardt, J. J., Arana, A. B., George, M. S., Reeves, S. T., & Takacs, I. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.08.021 · Cited by 111 · see citing works
Review of the Effectiveness of Transcranial Magnetic Stimulation for Post-traumatic Stress Disorder
Karsen, E. F., Watts, B. V., & Holtzheimer, P. E. (2013) · Brain stimulation · doi:10.1016/j.brs.2013.10.006 · Cited by 109 · see citing works
Kennis, M., Rademaker, A. R., van Rooij, S. J. H., Kahn, R. S., & Geuze, E. (2014) · Human Brain Mapping · doi:10.1002/hbm.22615 · Cited by 104 · see citing works
Default mode network subsystems are differentially disrupted in posttraumatic stress disorder
Miller, D. R., Hayes, S. M., Hayes, J. P., Spielberg, J. M., Lafleche, G., & Verfaellie, M. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.12.006 · Cited by 101 · see citing works
Daniels, J. (2011) · Journal of Psychiatry & Neuroscience · doi:10.1503/jpn.100050 · Cited by 93 · see citing works
Qin, L.-D., Wang, Z., Sun, Y.-W., Wan, J.-Q., Su, S.-S., Zhou, Y., & Xu, J.-R. (2012) · Brain Research · doi:10.1016/j.brainres.2012.09.029 · Cited by 91 · see citing works
Zhou, Y., Wang, Z., Qin, L.-D., Wan, J.-Q., Sun, Y.-W., Su, S.-S., Ding, W.-N., & Xu, J.-R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046833 · Cited by 89 · see citing works
Reduced default mode network connectivity following combat trauma
DiGangi, J. A., Tadayyon, A., Fitzgerald, D. A., Rabinak, C. A., Kennedy, A. E., Klumpp, H., Rauch, S. A. M., & Phan, K. L. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.01.010 · Cited by 85 · see citing works
Abdallah, C. G., Wrocklage, K. M., Averill, C. L., Akiki, T. J., Schweinsburg, B. C., Roy, A. M., Martini, B. A., Southwick, S. M., Krystal, J. H., & Scott, J. C. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.12 · Cited by 69 · see citing works
Self-citationCircuit dysregulation and circuit-based treatments in posttraumatic stress disorder
Sheynin, J., & Liberzon, I. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2016.11.014 · Cited by 68 · cited 2× · see citing works
“Considering the increased recognition of the role of ICN alterations in psychiatric disorders, and the need for developing circuit-based treatment (Kressel, 2017; Lui et al., 2016; Ross et al., 2017; Sheynin and Liberzon, 2016), it is critical for the field to develop tools to map ICN abnormalities.”
Functional network topology associated with posttraumatic stress disorder in veterans
Kennis, M., van Rooij, S. J. H., van den Heuvel, M. P., Kahn, R. S., & Geuze, E. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.12.008 · Cited by 67 · see citing works
Reuveni, I., Bonne, O. B., Giesser, R., Shragai, T., Lazarovits, G., Isserles, M., Schreiber, S., Bick, A. S., & Levin, N. (2015) · Human Brain Mapping · doi:10.1002/hbm.23051 · Cited by 65 · see citing works
Kressel, H. Y. (2016) · Radiology · doi:10.1148/radiol.2016162471 · Cited by 37 · see citing works
Abdallah, C. G., Southwick, S. M., & Krystal, J. H. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.04.046 · Cited by 35 · see citing works
Self-citationMiller, D. R., Logue, M. W., Wolf, E. J., Maniates, H., Robinson, M. E., Hayes, J. P., Stone, A., Schichman, S. A., McGlinchey, R. E., Milberg, W., et al. (2017) · Depression and Anxiety · doi:10.1002/da.22633 · Cited by 28 · see citing works
Wu, R., Zhang, J., Qiu, C., Meng, Y., Zhu, H., Gong, Q., Huang, X., & Zhang, W. (2011) · PubMed · Cited by 13 · see citing works
Topology of brain functional connectivity networks in posttraumatic stress disorder
Akiki, T. J., Averill, C. L., Wrocklage, K. M., Scott, J. C., Averill, L. A., Schweinsburg, B. C., Alexander‐Bloch, A. F., Martini, B. L., Southwick, S. M., Krystal, J. H., et al. (2018) · Data in Brief · doi:10.1016/j.dib.2018.08.198 · Cited by 11 · see citing works
Self-citationM64. Real Time fMRI Feedback Targeting Default Mode Network (DMN) Reduces Auditory Hallucinations
Whitfield‐Gabrieli, S., Bauer, C. C. C., Okano, K., et al. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx022.059 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Complex PTSD and borderline personality disorder
Ford, J. D., & Courtois, C. A. (2021) · Borderline Personality Disorder and Emotion Dysregulation · doi:10.1186/s40479-021-00155-9 · Cited by 209 · see citing works
“PTSD [2] and to be hypoactivated in executive func-”
BackgroundTheta-Burst Transcranial Magnetic Stimulation for Posttraumatic Stress Disorder
Philip, N. S., Barredo, J., Aiken, E., Larson, V., Jones, R. N., Shea, M. T., Greenberg, B. D., & van ’t Wout-Frank, M. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18101160 · Cited by 183 · see citing works
Lanius, R. A., Terpou, B. A., & McKinnon, M. C. (2020) · European Journal of Psychotraumatology · doi:10.1080/20008198.2020.1807703 · Cited by 164 · see citing works
Harricharan, S., Nicholson, A. A., Thome, J., Densmore, M., McKinnon, M. C., Théberge, J., Frewen, P. A., Neufeld, R. W. J., & Lanius, R. A. (2020) · Psychophysiology · doi:10.1111/psyp.13472 · Cited by 94 · see citing works
A neurobehavioral account for decentering as the salve for the distressed mind
King, A. P., & Fresco, D. M. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.02.009 · Cited by 36 · see citing works
Kearney, B. E., Terpou, B. A., Densmore, M., Shaw, S. B., Théberge, J., Jetly, R., McKinnon, M. C., & Lanius, R. A. (2023) · NeuroImage: Clinical · doi:10.1016/j.nicl.2023.103426 · Cited by 33 · see citing works
Intrinsic Connectivity Networks of Glutamate-Mediated Antidepressant Response: A Neuroimaging Review
Demchenko, I., Tassone, V. K., Kennedy, S. H., Dunlop, K., & Bhat, V. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.864902 · Cited by 29 · see citing works
(2020) · Advances in Pharmacology · doi:10.1016/bs.apha.2020.04.003 · Cited by 18 · see citing works
Self-citation
- Authors
- Akiki, T. J., Averill, C. L., Wrocklage, K. M., Scott, J. C., Averill, L. A., Schweinsburg, B., Alexander-Bloch, A., Martini, B., Southwick, S. M., Krystal, J. H., & Abdallah, C. G.
- Affiliations
- United States Department of Veterans Affairs (US)
- Philadelphia VA Medical Center (US)
- Corresponding author
- Abdallah, Chadi G.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 176
- Pages
- 489-498
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC5976548
- OpenAlex
- W2801553051
- Cited by
- 188
- References
- 93
- Citations by year
- 2026: 16 · 2025: 21 · 2024: 17 · 2023: 30 · 2022: 24 · 2021: 20 · 2020: 32 · 2019: 20 · 2018: 7
- FWCI
- 11.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Janssen Research and Development
- Center for Integrated Healthcare, U.S. Department of Veterans Affairs
- National Institutes of Health (MH-101498)
- Astellas Pharma Global Development
- U.S. Department of Veterans Affairs (IK2CX000772)
- AstraZeneca
- Genentech
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer (14/197,767)
- Otsuka America Pharmaceutical
- Brain and Behavior Research Foundation
- National Alliance for Research on Schizophrenia and Depression
- Amgen
- National Center for PTSD, U.S. Department of Veterans Affairs
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
- Keywords
- default mode network, post-traumatic stress disorder, combat veterans, functional connectivity, network topology, global efficiency, clustering coefficient, network modularity, white matter connectivity, PTSD symptom severity, biomarkers
- MeSH terms
- Adult, Cerebral Cortex, Humans, Male, Nerve Net, Stress Disorders, Post-Traumatic, Veterans, Prefrontal Cortex, Diffusion Magnetic Resonance Imaging, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
