Hostname: page-component-76fb5796d-zzh7m Total loading time: 0 Render date: 2024-04-29T23:17:02.286Z Has data issue: false hasContentIssue false

Transdiagnostic indicators predict developmental changes in cognitive control resting-state networks

Published online by Cambridge University Press:  24 August 2023

Giorgia Picci
Affiliation:
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
Nathan M. Petro
Affiliation:
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
Jake J. Son
Affiliation:
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
Oktay Agcaoglu
Affiliation:
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of technology, and Emory University, Atlanta, GA, USA
Jacob A. Eastman
Affiliation:
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
Yu-Ping Wang
Affiliation:
Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
Julia M. Stephen
Affiliation:
Mind Research Network, Albuquerque, NM, USA
Vince D. Calhoun
Affiliation:
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of technology, and Emory University, Atlanta, GA, USA
Brittany K. Taylor
Affiliation:
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
Tony W. Wilson*
Affiliation:
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
*
Corresponding author: T. W. Wilson; Email: tony.wilson@boystown.org

Abstract

Over the past decade, transdiagnostic indicators in relation to neurobiological processes have provided extensive insight into youth’s risk for psychopathology. During development, exposure to childhood trauma and dysregulation (i.e., so-called AAA symptomology: anxiety, aggression, and attention problems) puts individuals at a disproportionate risk for developing psychopathology and altered network-level neural functioning. Evidence for the latter has emerged from resting-state fMRI studies linking mental health symptoms and aberrations in functional networks (e.g., cognitive control (CCN), default mode networks (DMN)) in youth, although few of these investigations have used longitudinal designs. Herein, we leveraged a three-year longitudinal study to identify whether traumatic exposures and concomitant dysregulation trigger changes in the developmental trajectories of resting-state functional networks involved in cognitive control (N = 190; 91 females; time 1 Mage = 11.81). Findings from latent growth curve analyses revealed that greater trauma exposure predicted increasing connectivity between the CCN and DMN across time. Greater levels of dysregulation predicted reductions in within-network connectivity in the CCN. These findings presented in typically developing youth corroborate connectivity patterns reported in clinical populations, suggesting there is predictive utility in using transdiagnostic indicators to forecast alterations in resting-state networks implicated in psychopathology.

Type
Regular Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Achenbach, T. M., Dumenci, L., & Rescorla, L. A. (2001). Ratings of relations between DSM-IV diagnostic categories and items of the CBCL/6-18, TRF, and YSR. University of Vermont Research Center for Children, Youth, & Families.Google Scholar
Agcaoglu, O., Wilson, T. W., Wang, Y., Stephen, J., & Calhoun, V. D. (2019). Resting state connectivity differences in eyes open versus eyes closed conditions. Human Brain Mapping, 40(8), 24882498. https://doi.org/10.1002/hbm.24539 CrossRefGoogle ScholarPubMed
Agcaoglu, O., Wilson, T. W., Wang, Y.-P., Stephen, J. M., & Calhoun, V. D. (2020). Dynamic resting-state connectivity differences in eyes open versus eyes closed conditions. Brain Connectivity, 10(9), 504519. https://doi.org/10.1089/brain.2020.0768 CrossRefGoogle ScholarPubMed
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716723. https://doi.org/10.1109/TAC.1974.1100705 CrossRefGoogle Scholar
Althoff, R. R., & Ametti, M. (2021). Measurement of dysregulation in children and adolescents. Child and Adolescent Psychiatric Clinics of North America, 30(2), 321333. https://doi.org/10.1016/j.chc.2020.10.004 CrossRefGoogle ScholarPubMed
Althoff, R. R., Verhulst, F. C., Rettew, D. C., Hudziak, J. J., & van der Ende, J. (2010). Adult outcomes of childhood dysregulation: A 14-year follow-up study. Journal of the American Academy of Child & Adolescent Psychiatry, 49(11), 11051116.e1. https://doi.org/10.1016/j.jaac.2010.08.006 Google ScholarPubMed
Barch, D. M. (2017). The neural correlates of transdiagnostic dimensions of psychopathology. American Journal of Psychiatry, 174(7), 613615. https://doi.org/10.1176/appi.ajp.2017.17030289 CrossRefGoogle ScholarPubMed
Beauchaine, T. P., & Cicchetti, D. (2019). Emotion dysregulation and emerging psychopathology: A transdiagnostic, transdisciplinary perspective. Development and Psychopathology, 31(3), 799804. https://doi.org/10.1017/S0954579419000671 CrossRefGoogle ScholarPubMed
Bebko, G., Bertocci, M., Chase, H., Dwojak, A., Bonar, L., Almeida, J., Perlman, S. B., Versace, A., Schirda, C., Travis, M., Gill, M. K., Demeter, C., Diwadkar, V., Sunshine, J., Holland, S., Kowatch, R., Birmaher, B., Axelson, D., Horwitz, S.Phillips, M.L. (2015). Decreased amygdala-insula resting state connectivity in behaviorally and emotionally dysregulated youth. Psychiatry Research: Neuroimaging, 231(1), 7786. https://doi.org/10.1016/j.pscychresns.2014.10.015 CrossRefGoogle ScholarPubMed
Bellani, M., Negri, G. A. L., & Brambilla, P. (2012). The dysregulation profile in children and adolescents: A potential index for major psychopathology? Epidemiology and Psychiatric Sciences, 21(2), 155159. https://doi.org/10.1017/S2045796011000849 CrossRefGoogle ScholarPubMed
Boomsma, D. I., Rebollo, I., Derks, E. M., van Beijsterveldt, T. C. E. M., Althoff, R. R., Rettew, D. C., & Hudziak, J. J. (2006). Longitudinal stability of the CBCL-juvenile bipolar disorder phenotype: A study in dutch twins. Biological Psychiatry, 60(9), 912920. https://doi.org/10.1016/j.biopsych.2006.02.028 CrossRefGoogle ScholarPubMed
Buckingham, E. T., & Daniolos, P. (2013). Longitudinal outcomes for victims of child abuse. Current Psychiatry Reports, 15(2), 342. https://doi.org/10.1007/s11920-012-0342-3 CrossRefGoogle ScholarPubMed
Calhoun, V. D., & Adali, T. (2012). Multisubject independent component analysis of fMRI: A decade of intrinsic networks, default mode, and neurodiagnostic discovery. IEEE Reviews in Biomedical Engineering, 5, 6073. https://doi.org/10.1109/RBME.2012.2211076 CrossRefGoogle ScholarPubMed
Chahal, R., Miller, J. G., Yuan, J. P., Buthmann, J. L., & Gotlib, I. H. (2022). An exploration of dimensions of early adversity and the development of functional brain network connectivity during adolescence: Implications for trajectories of internalizing symptoms. Development and Psychopathology, 34(2), 557571. https://doi.org/10.1017/S0954579421001814 CrossRefGoogle ScholarPubMed
Chai, X. J., Castañón, A. N., Öngür, D., & Whitfield-Gabrieli, S. (2012). Anticorrelations in resting state networks without global signal regression. NeuroImage, 59(2), 14201428. https://doi.org/10.1016/j.neuroimage.2011.08.048 CrossRefGoogle ScholarPubMed
Demir-Lira, Ö.E., Voss, J. L., O’Neil, J. T., Briggs-Gowan, M. J., Wakschlag, L. S., & Booth, J. R. (2016). Early-life stress exposure associated with altered prefrontal resting-state fMRI connectivity in young children. Developmental Cognitive Neuroscience, 19, 107114. https://doi.org/10.1016/j.dcn.2016.02.003 CrossRefGoogle ScholarPubMed
Deutz, M. H. F., Vossen, H. G. M., Haan, A. D. D., Deković, M., Baar, A. L. V., & Prinzie, P. (2018). Normative development of the child behavior checklist dysregulation profile from early childhood to adolescence: Associations with personality pathology. Development and Psychopathology, 30(2), 437447. https://doi.org/10.1017/S0954579417000955 CrossRefGoogle ScholarPubMed
Eliot, L., Ahmed, A., Khan, H., & Patel, J. (2021). Dump the “dimorphism”: Comprehensive synthesis of human brain studies reveals few male-female differences beyond size. Neuroscience & Biobehavioral Reviews, 125, 667697. https://doi.org/10.1016/j.neubiorev.2021.02.026 CrossRefGoogle ScholarPubMed
Evans, G. W., Li, D., & Whipple, S. S. (2013). Cumulative risk and child development. Psychological Bulletin, 139(6), 13421396. https://doi.org/10.1037/a0031808 CrossRefGoogle ScholarPubMed
Fox, M. D., Zhang, D., Snyder, A. Z., & Raichle, M. E. (2009). The global signal and observed anticorrelated resting state brain networks. Journal of Neurophysiology, 101(6), 32703283. https://doi.org/10.1152/jn.90777.2008 CrossRefGoogle ScholarPubMed
Geiger, M. J., Domschke, K., Ipser, J., Hattingh, C., Baldwin, D. S., Lochner, C., & Stein, D. J. (2016). Altered executive control network resting-state connectivity in social anxiety disorder. The World Journal of Biological Psychiatry, 17(1), 4757. https://doi.org/10.3109/15622975.2015.1083613 CrossRefGoogle ScholarPubMed
Gracia-Tabuenca, Z., Moreno, M. B., Barrios, F. A., & Alcauter, S. (2021). Development of the brain functional connectome follows puberty-dependent nonlinear trajectories. NeuroImage, 229, 117769. https://doi.org/10.1016/j.neuroimage.2021.117769 CrossRefGoogle ScholarPubMed
Grayson, D. S., & Fair, D. A. (2017). Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature. NeuroImage, 160, 1531. https://doi.org/10.1016/j.neuroimage.2017.01.079 CrossRefGoogle Scholar
Gu, S., Satterthwaite, T. D., Medaglia, J. D., Yang, M., Gur, R. E., Gur, R. C., & Bassett, D. S. (2015). Emergence of system roles in normative neurodevelopment. Proceedings of the National Academy of Sciences, 112(44), 1368113686. https://doi.org/10.1073/pnas.1502829112 CrossRefGoogle ScholarPubMed
Gur, R. E., Moore, T. M., Rosen, A. F. G., Barzilay, R., Roalf, D. R., Calkins, M. E., Ruparel, K., Scott, J. C., Almasy, L., Satterthwaite, T. D., Shinohara, R. T., Gur, R. C. (2019). Burden of environmental adversity associated with psychopathology, maturation, and brain behavior parameters in youths. JAMA Psychiatry, 76(9), 966975. https://doi.org/10.1001/jamapsychiatry.2019.0943 CrossRefGoogle ScholarPubMed
Halperin, J. M., Rucklidge, J. J., Powers, R. L., Miller, C. J., & Newcorn, J. H. (2011). Childhood CBCL bipolar profile and adolescent/young adult personality disorders: A 9-year follow-up. Journal of Affective Disorders, 130(1-2), 155161. https://doi.org/10.1016/j.jad.2010.10.019 CrossRefGoogle ScholarPubMed
Holtmann, M., Buchmann, A. F., Esser, G., Schmidt, M. H., Banaschewski, T., & Laucht, M. (2011). The child behavior checklist-dysregulation profile predicts substance use, suicidality, and functional impairment: A longitudinal analysis. Journal of Child Psychology and Psychiatry, 52(2), 139147. https://doi.org/10.1111/j.1469-7610.2010.02309.x CrossRefGoogle ScholarPubMed
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 155. https://doi.org/10.1080/10705519909540118 CrossRefGoogle Scholar
Hwang, J. W., Egorova, N., Yang, X. Q., Zhang, W. Y., Chen, J., Yang, X. Y., Hu, L. J., Sun, S., Tu, Y., Kong, J. (2015). Subthreshold depression is associated with impaired resting-state functional connectivity of the cognitive control network. Translational Psychiatry, 5(11), e683e683. https://doi.org/10.1038/tp.2015.174 CrossRefGoogle ScholarPubMed
Hwang, K., Velanova, K., & Luna, B. (2010). Strengthening of top-down frontal cognitive control networks underlying the development of inhibitory control: A functional magnetic resonance imaging effective connectivity study. Journal of Neuroscience, 30(46), 1553515545. https://doi.org/10.1523/JNEUROSCI.2825-10.2010 CrossRefGoogle ScholarPubMed
Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., & Pizzagalli, D. A. (2015). Large-scale network dysfunction in major depressive disorder: A meta-analysis of resting-state functional connectivity. JAMA Psychiatry, 72(6), 603611. https://doi.org/10.1001/jamapsychiatry.2015.0071 CrossRefGoogle ScholarPubMed
Kim, J., Carlson, G. A., Meyer, S. E., Bufferd, S. J., Dougherty, L. R., Dyson, M. W., Laptook, R. S., Olino, T. M., & Klein, D. N. (2012). Correlates of the CBCL-dysregulation profile in preschool-aged children. Journal of Child Psychology and Psychiatry, 53(9), 918926. https://doi.org/10.1111/j.1469-7610.2012.02546.x CrossRefGoogle ScholarPubMed
Klein, D. N., Dougherty, L. R., Kessel, E. M., Silver, J., & Carlson, G. A. (2021). A transdiagnostic perspective on youth irritability. Current Directions in Psychological Science, 30(5), 437443. https://doi.org/10.1177/09637214211035101 CrossRefGoogle ScholarPubMed
Ladouceur, C. D., Henry, T., Ojha, A., Shirtcliff, E. A., & Silk, J. S. (2023). Fronto-amygdala resting state functional connectivity is associated with anxiety symptoms among adolescent girls more advanced in pubertal maturation. Developmental Cognitive Neuroscience, 60, 101236. https://doi.org/10.1016/j.dcn.2023.101236 CrossRefGoogle ScholarPubMed
Lopez, K. C., Luby, J. L., Belden, A. C., & Barch, D. M. (2018). Emotion dysregulation and functional connectivity in children with and without a history of major depressive disorder. Cognitive, Affective, & Behavioral Neuroscience, 18(2), 232248. https://doi.org/10.3758/s13415-018-0564-x CrossRefGoogle ScholarPubMed
Lu, S., Gao, W., Wei, Z., Wang, D., Hu, S., Huang, M., Xu, Y., & Li, L. (2017). Intrinsic brain abnormalities in young healthy adults with childhood trauma: A resting-state functional magnetic resonance imaging study of regional homogeneity and functional connectivity. Australian & New Zealand Journal of Psychiatry, 51(6), 614623. https://doi.org/10.1177/0004867416671415 CrossRefGoogle ScholarPubMed
Luo, Q., Yu, H., Chen, J., Lin, X., Wu, Z., Yao, J., Li, Y., Wu, H., & Peng, H. (2022). Altered variability and concordance of dynamic resting-state functional magnetic resonance imaging indices in patients with major depressive disorder and childhood trauma. Frontiers in Neuroscience, 16, 852799. https://doi.org/10.3389/fnins.2022.852799 CrossRefGoogle ScholarPubMed
Machlin, L., Miller, A. B., Snyder, J., McLaughlin, K. A., & Sheridan, M. A. (2019). Differential associations of deprivation and threat with cognitive control and fear conditioning in early childhood. Frontiers in Behavioral Neuroscience, 13, 80. https://doi.org/10.3389/fnbeh.2019.00080 CrossRefGoogle ScholarPubMed
Mbekou, V., Gignac, M., MacNeil, S., Mackay, P., & Renaud, J. (2014). The CBCL dysregulated profile: An indicator of pediatric bipolar disorder or of psychopathology severity? Journal of Affective Disorders, 155, 299302. https://doi.org/10.1016/j.jad.2013.10.033 CrossRefGoogle ScholarPubMed
McGough, J. J., McCracken, J. T., Cho, A. L., Castelo, E., Sturm, A., Cowen, J., Piacentini, J., & Loo, S. K. (2013). A potential electroencephalography and cognitive biosignature for the child behavior checklist-dysregulation profile. Journal of the American Academy of Child & Adolescent Psychiatry, 52(11), 11731182. https://doi.org/10.1016/j.jaac.2013.08.002 CrossRefGoogle ScholarPubMed
McLaughlin, K. A., Colich, N. L., Rodman, A. M., & Weissman, D. G. (2020). Mechanisms linking childhood trauma exposure and psychopathology: A transdiagnostic model of risk and resilience. BMC Medicine, 18(1), 96. https://doi.org/10.1186/s12916-020-01561-6 CrossRefGoogle ScholarPubMed
McLaughlin, K. A., & Sheridan, M. A. (2016). Beyond cumulative risk: A dimensional approach to childhood adversity. Current Directions in Psychological Science, 25(4), 239245. https://doi.org/10.1177/0963721416655883 CrossRefGoogle Scholar
McTeague, L. M., Goodkind, M. S., & Etkin, A. (2016). Transdiagnostic impairment of cognitive control in mental illness. Journal of Psychiatric Research, 83, 3746. https://doi.org/10.1016/j.jpsychires.2016.08.001 CrossRefGoogle ScholarPubMed
Meyer, S., Carlson, G., Youngstrom, E., Ronsaville, D., Martinez, P., Gold, P., Hakak, R., & Radke-Yarrow, M. (2009). Long-term outcomes of youth who manifested the CBCL-pediatric bipolar disorder phenotype during childhood and/or adolescence. Journal of Affective Disorders, 113(3), 227235. https://doi.org/10.1016/j.jad.2008.05.024 CrossRefGoogle ScholarPubMed
Miller, G. E., Chen, E., Finegood, E. D., Lam, P. H., Weissman-Tsukamoto, R., Leigh, A. K. K., Hoffer, L., Carroll, A. L., Brody, G. H., Parrish, T. B., Nusslock, R. (2021). Resting-state functional connectivity of the central executive network moderates the relationship between neighborhood violence and proinflammatory phenotype in children. Biological Psychiatry, 90(3), 165172. https://doi.org/10.1016/j.biopsych.2021.03.008 CrossRefGoogle Scholar
Mills, R., Scott, J., Alati, R., O’Callaghan, M., Najman, J. M., & Strathearn, L. (2013). Child maltreatment and adolescent mental health problems in a large birth cohort. Child Abuse & Neglect, 37(5), 292302. https://doi.org/10.1016/j.chiabu.2012.11.008 CrossRefGoogle Scholar
Nusslock, R., Brody, G. H., Armstrong, C. C., Carroll, A. L., Sweet, L. H., Yu, T., Barton, A. W., Hallowell, E. S., Chen, E., Higgins, J. P., Parrish, T. B., Wang, L., Miller, G. E. (2019). Higher peripheral inflammatory signaling associated with lower resting-state functional brain connectivity in emotion regulation and central executive networks. Biological Psychiatry, 86(2), 153162. https://doi.org/10.1016/j.biopsych.2019.03.968 CrossRefGoogle ScholarPubMed
Owens, M. M., Yuan, D., Hahn, S., Albaugh, M., Allgaier, N., Chaarani, B., Potter, A., & Garavan, H. (2020). Investigation of psychiatric and neuropsychological correlates of default mode network and dorsal attention network anticorrelation in children. Cerebral Cortex, 30(12), 60836096. https://doi.org/10.1093/cercor/bhaa143 CrossRefGoogle ScholarPubMed
Pan, F., Xu, Y., Zhou, W., Chen, J., Wei, N., Lu, S., Shang, D., Wang, J., & Huang, M. (2020). Disrupted intrinsic functional connectivity of the cognitive control network underlies disease severity and executive dysfunction in first-episode, treatment-naive adolescent depression. Journal of Affective Disorders, 264, 455463. https://doi.org/10.1016/j.jad.2019.11.076 CrossRefGoogle ScholarPubMed
Park, A. T., Leonard, J. A., Saxler, P. K., Cyr, A. B., Gabrieli, J. D. E., & Mackey, A. P. (2018). Amygdala-medial prefrontal cortex connectivity relates to stress and mental health in early childhood. Social Cognitive and Affective Neuroscience, 13(4), 430439. https://doi.org/10.1093/scan/nsy017 CrossRefGoogle ScholarPubMed
Parkes, L., Moore, T. M., Calkins, M. E., Cook, P. A., Cieslak, M., Roalf, D. R., Wolf, D. H., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Bassett, D. S. (2021). Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure. Translational Psychiatry, 11(1), 1. https://doi.org/10.1038/s41398-021-01342-6 CrossRefGoogle ScholarPubMed
Patriat, R., Birn, R. M., Keding, T. J., & Herringa, R. J. (2016). Default-mode network Abnormalities in pediatric posttraumatic stress disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 55(4), 319327. https://doi.org/10.1016/j.jaac.2016.01.010 CrossRefGoogle ScholarPubMed
Penhale, S. H., Picci, G., Ott, L. R., Taylor, B. K., Frenzel, M. R., Eastman, J. A., Wang, Y.-P., Calhoun, V. D., Stephen, J. M., Wilson, T. W. (2022). Impacts of adrenarcheal DHEA levels on spontaneous cortical activity during development. Developmental Cognitive Neuroscience, 57, 101153. https://doi.org/10.1016/j.dcn.2022.101153 CrossRefGoogle ScholarPubMed
Picci, G., Christopher-Hayes, N. J., Petro, N. M., Taylor, B. K., Eastman, J. A., Frenzel, M. R., Wang, Y.-P., Stephen, J. M., Calhoun, V. D., Wilson, T. W. (2022a). Amygdala and hippocampal subregions mediate outcomes following trauma during typical development: Evidence from high-resolution structural MRI. Neurobiology of Stress, 18, 100456. https://doi.org/10.1016/j.ynstr.2022.100456 CrossRefGoogle ScholarPubMed
Picci, G., Taylor, B. K., Killanin, A. D., Eastman, J. A., Frenzel, M. R., Wang, Y.-P., Stephen, J. M., Calhoun, V. D., & Wilson, T. W. (2022b). Left amygdala structure mediates longitudinal associations between exposure to threat and long-term psychiatric symptomatology in youth. Human Brain Mapping, 43(13), 40914102. https://doi.org/10.1002/hbm.25904 CrossRefGoogle ScholarPubMed
Rakesh, D., Allen, N. B., & Whittle, S. (2021). Longitudinal changes in within-salience network functional connectivity mediate the relationship between childhood abuse and neglect, and mental health during adolescence. Psychological Medicine, 53(4), 113. https://doi.org/10.1017/S0033291721003135 Google ScholarPubMed
Rakesh, D., Kelly, C., Vijayakumar, N., Zalesky, A., Allen, N. B., & Whittle, S. (2021). Unraveling the consequences of childhood maltreatment: Deviations from typical functional neurodevelopment mediate the relationship between maltreatment history and depressive symptoms. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(3), 329342. https://doi.org/10.1016/j.bpsc.2020.09.016 Google ScholarPubMed
Rissanen, J. (1983). A universal prior for integers and estimation by minimum description length. The Annals of Statistics, 11(2), 416431. https://doi.org/10.1214/aos/1176346150 CrossRefGoogle Scholar
Ross, M. C., & Cisler, J. M. (2020). Altered large-scale functional brain organization in posttraumatic stress disorder: A comprehensive review of univariate and network-level neurocircuitry models of PTSD. NeuroImage: Clinical, 27, 102319. https://doi.org/10.1016/j.nicl.2020.102319 CrossRefGoogle ScholarPubMed
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. Journal of Neuroscience, 27(9), 23492356. https://doi.org/10.1523/JNEUROSCI.5587-06.2007 CrossRefGoogle ScholarPubMed
Sheffield, J. M., & Barch, D. M. (2016). Cognition and resting-state functional connectivity in schizophrenia. Neuroscience & Biobehavioral Reviews, 61, 108120. https://doi.org/10.1016/j.neubiorev.2015.12.007 CrossRefGoogle ScholarPubMed
Sherman, L. E., Rudie, J. D., Pfeifer, J. H., Masten, C. L., McNealy, K., & Dapretto, M. (2014). Development of the default mode and central executive networks across early adolescence: A longitudinal study. Developmental Cognitive Neuroscience, 10, 148159. https://doi.org/10.1016/j.dcn.2014.08.002 CrossRefGoogle ScholarPubMed
Sheynin, J., Duval, E. R., Lokshina, Y., Scott, J. C., Angstadt, M., Kessler, D., Zhang, L., Gur, R. E., Gur, R. C., Liberzon, I. (2020). Altered resting-state functional connectivity in adolescents is associated with PTSD symptoms and trauma exposure. NeuroImage: Clinical, 26, 102215. https://doi.org/10.1016/j.nicl.2020.102215 CrossRefGoogle ScholarPubMed
Silveira, S., Shah, R., Nooner, K. B., Nagel, B. J., Tapert, S. F., de Bellis, M. D., & Mishra, J. (2020). Impact of childhood trauma on executive function in adolescence—Mediating functional brain networks and prediction of high-risk drinking. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(5), 499509. https://doi.org/10.1016/j.bpsc.2020.01.011 Google ScholarPubMed
Solomon, M., Hogeveen, J., Libero, L., & Nordahl, C. (2017). An altered scaffold for information processing: Cognitive control development in adolescents with autism. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging, 2(6), 464475. https://doi.org/10.1016/j.bpsc.2017.06.002 CrossRefGoogle ScholarPubMed
Stange, J. P., Bessette, K. L., Jenkins, L. M., Peters, A. T., Feldhaus, C., Crane, N. A., Ajilore, O., Jacobs, R. H., Watkins, E. R., Langenecker, S. A. (2017). Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles: Cognitive control network connectivity in rMDD. Human Brain Mapping, 38(6), 29392954. https://doi.org/10.1002/hbm.23564 CrossRefGoogle Scholar
Steinberg, A. M., Brymer, M. J., Decker, K. B., & Pynoos, R. S. (2004). The university of california at Los Angeles post-traumatic stress disorder reaction index. Current Psychiatry Reports, 6(2), 96100. https://doi.org/10.1007/s11920-004-0048-2 CrossRefGoogle ScholarPubMed
Stephen, J. M., Solis, I., Janowich, J., Stern, M., Frenzel, M. R., Eastman, J. A., Mills, M. S., Embury, C. M., Coolidge, N. M., Heinrichs-Graham, E., Mayer, A., Liu, J., Wang, Y. P., Wilson, T. W., Calhoun, V. D. (2021). The developmental chronnecto-genomics (Dev-coG) study: A multimodal study on the developing brain. NeuroImage, 225, 117438. https://doi.org/10.1016/j.neuroimage.2020.117438 CrossRefGoogle Scholar
Stone, L. B., Amole, M. C., Cyranowski, J. M., & Swartz, H. A. (2018). History of childhood emotional abuse predicts lower resting-state high-frequency heart rate variability in depressed women. Psychiatry Research, 269, 681687. https://doi.org/10.1016/j.psychres.2018.08.106 CrossRefGoogle ScholarPubMed
Sutcubasi, B., Metin, B., Kurban, M. K., Metin, Z. E., Beser, B., & Sonuga-Barke, E. (2020). Resting-state network dysconnectivity in ADHD: A system-neuroscience-based meta-analysis. The World Journal of Biological Psychiatry, 21(9), 662672. https://doi.org/10.1080/15622975.2020.1775889 CrossRefGoogle ScholarPubMed
Taylor, B. K., Eastman, J. A., Frenzel, M. R., Embury, C. M., Wang, Y.-P., Stephen, J. M., Calhoun, V. D., Badura-Brack, A. S., & Wilson, T. W. (2021). Subclinical anxiety and posttraumatic stress influence cortical thinning during adolescence. Journal of the American Academy of Child & Adolescent Psychiatry, 60(10), 12881299. https://doi.org/10.1016/j.jaac.2020.11.020 CrossRefGoogle ScholarPubMed
Taylor, B. K., Frenzel, M. R., Eastman, J. A., Embury, C. M., Agcaoglu, O., Wang, Y. P., Stephen, J. M., Calhoun, V. D., & Wilson, T. W. (2022). Individual differences in amygdala volumes predict changes in functional connectivity between subcortical and cognitive control networks throughout adolescence. NeuroImage, 247, 118852. https://doi.org/10.1016/j.neuroimage.2021.118852 CrossRefGoogle ScholarPubMed
Viard, A., Mutlu, J., Chanraud, S., Guenolé, F., Egler, P.-J., Gérardin, P., Baleyte, J.-M., Dayan, J., Eustache, F., Guillery-Girard, B. (2019). Altered default mode network connectivity in adolescents with post-traumatic stress disorder. NeuroImage: Clinical, 22, 101731. https://doi.org/10.1016/j.nicl.2019.101731 CrossRefGoogle ScholarPubMed
Williams, L. M. (2016). Precision psychiatry: A neural circuit taxonomy for depression and anxiety. The Lancet. Psychiatry, 3(5), 472480. https://doi.org/10.1016/S2215-0366(15)00579-9 CrossRefGoogle ScholarPubMed
Wu, H., Wu, C., Wu, F., Zhan, Q., Peng, H., Wang, J., Zhao, J., Ning, Y., Zheng, Y., She, S. (2021). Covariation between childhood-trauma related resting-state functional connectivity and affective temperaments is impaired in individuals with major depressive disorder. Neuroscience, 453, 102112. https://doi.org/10.1016/j.neuroscience.2020.08.002 CrossRefGoogle ScholarPubMed
Yeo, B. T. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., Fischl, B., Liu, H., Buckner, R. L. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3), 11251165. https://doi.org/10.1152/jn.00338.2011 Google ScholarPubMed
Supplementary material: File

Picci et al. supplementary material
Download undefined(File)
File 119.4 KB