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Complex realities require complex theories: Refining and extending the network approach to mental disorders

Published online by Cambridge University Press:  29 June 2010

Angélique O. J. Cramer
Affiliation:
Department of Psychology, University of Amsterdam, 1018 WB Amsterdam, The Netherlands. A.O.J.Cramer@uva.nlwww.aojcramer.comL.J.Waldorp@uva.nlhttp://users.fmg.uva.nl/lwaldorp/D.Borsboom@uva.nlhttp://sites.google.com/site/borsboomdenny/dennyborsboomH.L.J.vanderMaas@uva.nl. http://users.fmg.uva.nl/hvandermaas/
Lourens J. Waldorp
Affiliation:
Department of Psychology, University of Amsterdam, 1018 WB Amsterdam, The Netherlands. A.O.J.Cramer@uva.nlwww.aojcramer.comL.J.Waldorp@uva.nlhttp://users.fmg.uva.nl/lwaldorp/D.Borsboom@uva.nlhttp://sites.google.com/site/borsboomdenny/dennyborsboomH.L.J.vanderMaas@uva.nl. http://users.fmg.uva.nl/hvandermaas/
Han L. J. van der Maas
Affiliation:
Department of Psychology, University of Amsterdam, 1018 WB Amsterdam, The Netherlands. A.O.J.Cramer@uva.nlwww.aojcramer.comL.J.Waldorp@uva.nlhttp://users.fmg.uva.nl/lwaldorp/D.Borsboom@uva.nlhttp://sites.google.com/site/borsboomdenny/dennyborsboomH.L.J.vanderMaas@uva.nl. http://users.fmg.uva.nl/hvandermaas/
Denny Borsboom
Affiliation:
Department of Psychology, University of Amsterdam, 1018 WB Amsterdam, The Netherlands. A.O.J.Cramer@uva.nlwww.aojcramer.comL.J.Waldorp@uva.nlhttp://users.fmg.uva.nl/lwaldorp/D.Borsboom@uva.nlhttp://sites.google.com/site/borsboomdenny/dennyborsboomH.L.J.vanderMaas@uva.nl. http://users.fmg.uva.nl/hvandermaas/

Abstract

The majority of commentators agree on one thing: Our network approach might be the prime candidate for offering a new perspective on the origins of mental disorders. In our response, we elaborate on refinements (e.g., cognitive and genetic levels) and extensions (e.g., to Axis II disorders) of the network model, as well as discuss ways to test its validity.

Type
Authors' Response
Copyright
Copyright © Cambridge University Press 2010

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References

Ackley, D. H., Hinton, G. E. & Sejnowski, T. J. (1985) A learning algorithm for Boltzmann machines. Cognitive Science 9:147–69.Google Scholar
American Psychiatric Association (APA). (1994) Diagnostic and statistical manual of mental disorders, 4th edition, (DSM-IV). American Psychiatric Association/APA Books.Google Scholar
Annaz, D., Karmiloff-Smith, A. & Thomas, M. C. S. (2008) The importance of tracing developmental trajectories for clinical child neuropsychology. In: Child neuropsychology: Concepts, theory, and practice, ed. Reed, J. & Warner Rogers, J., pp. 718. Wiley-Blackwell. Available at: http://www.hhdev.psu.edu/hdfs/faculty/docs/StateSpaceTechniques.pdf.Google Scholar
Birnbaum, A. (1968) Some latent trait models and their use in inferring an examinee's ability. In: Statistical theories of mental test scores, ed. Lord, F. M. & Novick, M. R., pp. 397479. Addison-Wesley.Google Scholar
Boccaletti, S., Latora, V., Moreno, Y., Chavez, M. & Hwang, D.-U. (2006) Complex networks: Structure and dynamics. Physics Reports 424:175308.CrossRefGoogle Scholar
Bornstein, R. F. (2003) Behaviorally referenced experimentation and symptom validation: A paradigm for 21st-century personality disorder research. Journal of Personality Disorders 17:118.CrossRefGoogle ScholarPubMed
Borsboom, D. (2008) Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology 64:1089–108.CrossRefGoogle ScholarPubMed
Borsboom, D., Cramer, A. O. J., Kievit, R. A., Zand Scholten, A., & Franić, S. (2009a) The end of construct validity. In: The concept of validity, ed. Lissitz, R. W., pp. 135–69. Information Age.Google Scholar
Bremner, J. D., Narayan, M., Anderson, E. R., Staib, L. H., Miller, H. L. & Charney, D. S. (2000) Hippocampal volume reduction in major depression. American Journal of Psychiatry 157:115–17.CrossRefGoogle ScholarPubMed
Clark, D. M., Salkovskis, P. M., Hackmann, A., Middleton, H., Anastasiades, P. & Gelder, M. (1994) A comparison of cognitive therapy, applied relaxation and imipramine in the treatment of panic disorder. British Journal of Psychiatry 164:759–69.CrossRefGoogle ScholarPubMed
Cohen Kadosh, R., & Walsh, V. (2009) Numerical representation in the parietal lobes: Abstract or not abstract? Behavioral and Brain Sciences 32:313–73.CrossRefGoogle ScholarPubMed
DeRubeis, R. J., Hollon, S. D., Amsterdam, J. D., Shelton, R. C., Young, P. R., Salomon, R. M., O'Reardon, J. P., Lovett, M. L., Gladis, M. M., Brown, L. L. & Gallop, R. (2005) Cognitive therapy vs. medications in the treatment of moderate to severe depression. Archives of General Psychiatry 62:409–16.CrossRefGoogle ScholarPubMed
Durmer, J. S. & Dinges, D. F. (2005) Neurocognitive consequences of sleep deprivation. Seminars in Neurology 25:117–29.CrossRefGoogle ScholarPubMed
Ellis, J. L. & Junker, B. W. (1997) Tail-measurability in monotone latent variable models. Psychometrika 62:495523.CrossRefGoogle Scholar
Gossop, M., Stewart, D., Browne, N. & Marsden, J. (2002) Factors associated with abstinence, lapse or relapse to heroin use after residential treatment: Protective effect of coping responses. Addiction 97:1259–67.CrossRefGoogle ScholarPubMed
Haig, B. D. (2009) Inference to the best explanation: A neglected approach to theory appraisal in psychology. American Journal of Psychology 122:219–34.CrossRefGoogle Scholar
Hare, R. D. (2003) Manual for the revised psychopathy checklist, 2nd edition. Multi-Health Systems.Google Scholar
Holland, P. W. & Rosenbaum, P. R. (1986) Conditional association and unidimensionality in monotone latent variable models. Annals of Statistics 14:1523–43.CrossRefGoogle Scholar
Jöreskog, K. G. (1971) Statistical analysis of sets of congeneric tests. Psychometrika 36:109–33.CrossRefGoogle Scholar
Junker, B. W. & Sijtsma, K. (2001) Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement 25:258–72.CrossRefGoogle Scholar
Kennedy, N. & Paykel, E. S. (2004) Residual symptoms at remission from depression: Impact on long-term outcome. Journal of Affective Disorders 80:135–44.CrossRefGoogle ScholarPubMed
Kuyken, W., Byford, S., Taylor, R. S., Watkins, E., Holden, E., White, K., Barrett, B., Byng, R., Evans, A., Mullan, E. & Teasdale, J. D. (2008) Mindfulness-based cognitive therapy to prevent relapse in recurrent depression. Journal of Consulting and Clinical Psychology 76:966–78.CrossRefGoogle ScholarPubMed
Landerl, K., Bevan, A. & Butterworth, B. (2004) Developmental dyscalculia and basic numerical capacities: A study of 8–9-year-old students. Cognition 93:99125.CrossRefGoogle ScholarPubMed
Lord, F. M. & Novick, M. R. (1968) Statistical theories of mental test scores. Addison-Wesley.Google Scholar
Ma, S. H. & Teasdale, J. D. (2004) Mindfulness-based cognitive therapy for depression: Replication and exploration of differential relapse prevention effects. Journal of Consulting and Clinical Psychology 72:3140.CrossRefGoogle ScholarPubMed
Markowitsch, H. J., Vandekerckhove, M. M. P., Lanfermann, H. & Russ, M. O. (2003) Engagement of lateral and medial prefrontal areas in the ecphory of sad and happy autobiographical memories. Cortex 39:643–65.CrossRefGoogle ScholarPubMed
Molenaar, P. C. M. (2003) State space techniques in structural equation modeling: Transformation of latent variables in and out of latent variable models. Unpublished manuscript, University of Amsterdam. Available at: http://www.hhdev.psu.edu/hdfs/faculty/docs/StateSpaceTechniques.pdf.Google Scholar
Nolen-Hoeksema, S. (2000) The role of rumination of depressive disorders and mixed anxiety/depressive symptoms. Journal of Abnormal Psychology 109:504–11.CrossRefGoogle ScholarPubMed
Papageorgiou, C. & Wells, A. (2001) Metacognitive beliefs about rumination in recurrent major depression. Cognitive and Behavioral Practice 8:160–64.CrossRefGoogle Scholar
Paykel, E. S. (2008) Partial remission, residual symptoms, and relapse in depression. Dialogues in Clinical Neuroscience 10:431–37.CrossRefGoogle ScholarPubMed
Paykel, E. S., Scott, J., Teasdale, J. D., Johnson, A. L., Garland, A., Moore, R., Jenaway, A., Cornwall, P. L., Hayhurst, H., Abbott, R. & Pope, M. (1999) Prevention of relapse in residual depression by cognitive therapy. Archives of General Therapy 56:829–35.CrossRefGoogle ScholarPubMed
Rasch, G. (1960) Probabilistic models for some intelligence and attainment tests. Paedagogiske Institut.Google Scholar
Savage, M. (2005) Liberalism is a mental disorder: Savage solutions. Nelson Current.Google Scholar
Schacter, D. L. & Addis, D. R. (2009) On the nature of medial temporal lobe contributions to the constructive simulation of future events. Philosophical Transactions of the Royal Society of London Series B: Biological Sciences 364:1245–53.CrossRefGoogle Scholar
Scheines, R., Spirtes, P., Glymour, C., Meek, C. & Richardson, T. (1996) TETRAD 3: Tools for causal modeling – User's manual. Available at: http://www.phil.cmu.edu/projects/tetrad/tet3/master.htm.Google Scholar
Segal, Z. V., Williams, J. M. G. & Teasdale, J. D. (2002) Mindfulness-based cognitive therapy for depression: A new approach to preventing relapse. Guilford Press.Google Scholar
Sharot, R., Riccardi, A. M., Raio, C. M. & Phelps, E. A. (2007) Neural mechanisms mediating optimism bias. Nature 450:102105.CrossRefGoogle ScholarPubMed
Tryon, R. C. (1935) A theory of psychological components: An alternative to “mathematical factors.” Psychological Review 42:425–54.CrossRefGoogle Scholar
Van den, Brink W., Hendriks, V. M. & Van Ree, J. M.. (1999) Medical co-prescription of heroin to chronic, treatment-resistant methadone patients in the Netherlands. Journal of Drug Issues 29:587608.CrossRefGoogle Scholar
Van, der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M. & Raijmakers, M. E. J. (2006) A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review 113(4):842–61.Google Scholar
Wells, A. & Carter, K. (2001) Further tests of a cognitive model of generalized anxiety disorder: Metacognitions and worry in GAD, panic disorder, social phobia, depression, and nonpatients. Behavior Therapy 32:85102.CrossRefGoogle Scholar