Zusammenfassung
Im traditionellen psychopathologischen Konzept weisen psychiatrische Symptome auf zugrunde liegende (latente) kategorische Entitäten oder zugrunde liegende Dimensionen hin, welche die Genese und die syndromale Kohärenz solcher Symptome bewirken. Bedauerlicherweise erfordert der Rückschluss auf eine zugrunde liegende gemeinsame Ursache der Symptomkovarianz, dass keine kausalen Interaktionen zwischen den Symptomen selbst bestehen – eine äußerst implausible Annahme für die meisten psychiatrischen Störungen. Einige Forscher haben einen radikal anderen Ansatz zur Psychopathologie vorgeschlagen, der Störungen als dynamische Systeme kausal interagierender Symptome konzeptualisiert. In diesem Kapitel fasse ich diesen Netzwerkansatz zusammen und veranschauliche seine Anwendung unter Bezugnahme auf netzwerkanalytische Studien meiner Forschungsgruppe zur Posttraumatischen Belastungsstörung und komplizierten Trauerstörung.
Die Übersetzung des ursprünglich englischen Textes stammt von Mag. Karl Thomanek.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Literatur
American Psychiatric Association (1994) Diagnostic and statistical manual of mental disorders, 4th ed. American Psychiatric Association Press, Washington, DC
American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders, 5th ed. American Psychiatric Association Press, Arlington, VA
Bollen K, Lennox R (1991) Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin 110: 305–314
Borsboom D (2008) Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology 64: 1089–1108
Borsboom D, Cramer AOJ (2013) Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology 9: 91–121
Borsboom D, Mellenbergh GJ, van Heerden J (2003) The theoretical status of latent variables. Psychological Review 110: 203–219
Cramer AOJ, Waldorp LJ, van der Maas HLJ, Borsboom D (2010) Comorbidity: A network perspective. Behavioral and Brain Sciences 33: 137–150
Csardi G, Nepusz T (2006) The igraph software package for complex network research. International Journal of Complex Systems 1695
Edwards JR, Bagozzi RP (2000) On the nature and direction of relationships between constructs and measures. Psychological Methods 5: 155–174
Epskamp S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D (2012) qgraph: Network visualization of relationships in psychometric data. Journal of Statistical Software 48(4): 1018
Friedman J, Hastie T, Tibshirani R (2010) Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software 33(1): 1–22
Grömping U (2006) Relative importance for linear regression in R: The package relaimpo. Journal of Statistical Software 17(1): 1–27
Guze SB (1992) Why psychiatry is a branch of medicine. Oxford University Press, Oxford, UK
Helzer JE, Kraemer HC, Krueger RF, Wittchen H-U, Sirovatka PJ, Regier D (eds) (2008) Dimensional approaches to classification: Refining the research agenda for DSM-V. American Psychiatric Association, Arlington, VA
Johnson JW, LeBreton JM (2004) History and use of relative importance indices in organizational research. Organizational Research Methods 7: 238–257
Li H, Wang L, Shi Z, Zhang Y, Wu K, Liu P (2010) Diagnostic utility of the PTSD Checklist in detecting PTSD in Chinese earthquake victims. Psychological Reports 107: 733–739
McNally RJ (2011) What is mental illness? The Belknap Press of Harvard University Press, Cambridge, MA
McNally RJ (2015) A network approach to PTSD symptoms in adult survivors of childhood sexual abuse. In: Levinson CA, Langer J (Co-chairs) Network analysis: A symptom perspective of psychopathology. Symposium conducted at the meeting of the Association of Behavioral and Cognitive Therapies, Chicago, IL
Mc Nally RJ (2016) Can network analysis transform psychpathology? Behaviour Research and Therapy 86: 95–104
McNally RJ, Robinaugh DJ (2011) Risk factors and posttraumatic stress disorder: Are they especially predictive following exposure to less severe stressors? Depression and Anxiety 28: 1091–1096
McNally RJ, Robinaugh DJ, Wu GWY, Wang L, Deserno M, Borsboom D (2015) Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science 3: 836–849
Reichardt J, Bornholdt S (2006) When are networks truly modular? Physical Review E, 74:016110. Doi:10.1103/PhysRevE.74.016110
Robinaugh DJ, McNally RJ (2011) Trauma centrality and PTSD symptom severity in adult survivors of childhood sexual abuse. Journal of Traumatic Stress 24: 483–486
Robinaugh DJ, LeBlanc NJ, Vuletich HJ, McNally RJ (2014) Network analysis of persistent complex bereavement disorder in conjugally bereaved adults. Journal of Abnormal Psychology 123: 510–522
Weathers FW, Litz BT, Herman DS, Huska JA, Keane TM (1993) The PTSD Checklist (PCL): Reliability, validity, and diagnostic utility. Paper presented at the meeting of the International Society for Traumatic Stress Studies, San Antonio, TX
Internetadresse
Friedman J, Hastie T, Tibshirani R (2014) Graphical lasso – estimation of Gaussian graphical models. http://www-stat.stanford.edu/~tibs/glasso
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer-Verlag GmbH Germany
About this chapter
Cite this chapter
McNally, R.J. (2017). Ein Netzwerkansatz zur Posttraumatischen Belastungsstörung und komplizierten Trauer. In: Riffer, F., Kaiser, E., Sprung, M., Streibl, L. (eds) Die Vielgestaltigkeit der Psychosomatik. Psychosomatik im Zentrum, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54146-3_16
Download citation
DOI: https://doi.org/10.1007/978-3-662-54146-3_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-54145-6
Online ISBN: 978-3-662-54146-3
eBook Packages: Medicine (German Language)