Skip to main content

Psychological Rhythmicities

  • Chapter
  • First Online:
Handbook of Systems and Complexity in Health

Abstract

Psychopathological and psychosomatic disorders are typically diagnosed according to a standardized set of criteria that are intended to reflect stable behavioral, cognitive, and emotional processes over time. However, decades of research have indicated that time-varying psychological, biological, and social influences interact to shape the trajectory of symptoms of psychopathological and psychosomatic disorders [1–3]. Disorders that vary as a function of temporal and environmental dynamics may have meaningful dynamical structure. Dynamical structure refers to the time-variant, sinusoidal form that individual and coupled processes take across repeated observations. For example, bipolar disorder II, which is characterized by rapid cycling between manic and depressive states, displays an oscillatory pattern in the manifestation of those symptoms over time [4]. Although dynamically structured disorders are common, they are often not treated as dynamical in theory or analysis [5]. Instead, the majority of studies have relied on means-based approaches to describe symptom variation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Most studies have employed the damped linear oscillator model as in (8.1) with positive signs for each of the terms. Alternatively, negative signs are sometimes used for each term [21, 29]. With a negative sign for the damping coefficient (ζ), be aware that the interpretation would be opposite to the interpretation provided here.

References

  1. Bolger N, Davis A, Rafaeli E. Diary methods: capturing life as it is lived. Annu Rev Psychol. 2003;54:579–616.

    Article  PubMed  Google Scholar 

  2. Myin-Germeys I, Oorschot M, Collip D, Lataster J, Delespaul P, van Os J. Experience sampling research in psychopathology: opening the black box of daily life. Psychol Med. 2009;39(9):1533–47.

    Article  PubMed  CAS  Google Scholar 

  3. Stone AA, Shifman S. Ecological momentary assessment (EMA) in behavioral medicine. Ann Behav Med. 1994;16(3):199–202.

    Google Scholar 

  4. Boker SM, Leibenluft E, Deboeck PR, Virk G, Postolache TT. Mood oscillations and coupling between mood and weather in patients with rapid cycling bipolar disorder. Int J Child Health Hum Dev. 2008;1(2):181–203.

    PubMed  Google Scholar 

  5. Butler EA. Temporal interpersonal emotion systems: the “TIES” that form relationships. Pers Soc Psychol Rev. 2011;15(4):367–93.

    Article  PubMed  Google Scholar 

  6. Kahneman D. Objective happiness. In: Kahneman D, Diener E, Schwarz N, editors. Well-being: the foundations of Hedonic Psychology. New York: Russell Sage; 1999. p. 3–25.

    Google Scholar 

  7. Robinson MD, Clore GL. Belief and feeling: evidence for an accessibility model of emotional self-report. Psychol Bull. 2002;128(6):934–60.

    Article  PubMed  Google Scholar 

  8. Green AS, Rafaeli E, Bolger N, Shrout PE, Reis HT. Paper or plastic? Data equivalence in paper and electronic diaries. Psychol Methods. 2006;11(1):87–105.

    Article  PubMed  Google Scholar 

  9. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4:1–32.

    Article  PubMed  Google Scholar 

  10. Tennen H, Affleck G, Armeli S. Personality and daily experience revisited. J Pers. 2005;73(6):1465–83.

    Article  PubMed  Google Scholar 

  11. Nezlek JB. Multilevel random coefficient analyses of event- and interval-contingent data in social and personality psychology research. Pers Soc Psychol Bull. 2001;27(7):771–85.

    Article  Google Scholar 

  12. Singer JD, Willett JB. Applied longitudinal data analysis: modeling change and event occurrence. New York: Oxford University Press; 2003.

    Google Scholar 

  13. Mazure CM. Life stressors as risk factors in depresion. Clin Psychol Sci Pract. 1998;5(3):291–313.

    Article  Google Scholar 

  14. Monroe SM, Hadjiyannakis K. The social environment and depression: focusing on severe life stress. In: Gotlib IH, Hammen CL, editors. Handbook of depression. New York: Guilford Press; 2002. p. 314–40.

    Google Scholar 

  15. Hammen C. Stress and depression. Annu Rev Clin Psychol. 2005;1:293–319.

    Article  PubMed  Google Scholar 

  16. Kessler RC. The effects of stressful life events on depression. Annu Rev Psychol. 1997;48:191–214.

    Article  PubMed  CAS  Google Scholar 

  17. Zautra AJ, Smith BW. Depression and reactivity to stress in older women with rheumatoid arthritis and osteoarthritis. Psychosom Med. 2001;63(4):687–96.

    PubMed  CAS  Google Scholar 

  18. Thelen E, Smith LB. A dynamic systems approach to the development of cognition and action. Cambridge, MA: MIT Press; 1996.

    Google Scholar 

  19. Gilden DL, Thornton T, Mallon MW. 1/f noise in human cognition. Science. 1995;267(5205):1837–9.

    Article  PubMed  CAS  Google Scholar 

  20. Boker SM, Graham J. A dynamical systems analysis of adolescent substance abuse. Multivar Behav Res. 1998;33(4):479–507.

    Article  Google Scholar 

  21. Butner J, Amazeen PG, Mulvey GM. Multilevel modeling of two cyclical processes: extending differential structural equation modeling to nonlinear coupled systems. Psychol Methods. 2005;10(2):159–77.

    Article  PubMed  Google Scholar 

  22. Chow SM, Ram N, Boker SM, Fujita F, Clore G. Emotion as a thermostat: representing emotion regulation using a damped oscillator model. Emotion. 2005;5(2):208–25.

    Article  PubMed  Google Scholar 

  23. Reid KJ, Zee PC. Circadian rhythm disorders. Semin Neurol. 2004;24(3):315–25.

    Article  PubMed  Google Scholar 

  24. Ancoli-Israel S, Cole R, Alessi C, Chambers M, Moorcroft W, Pollak CP. The role of actigraphy in the study of sleep and circadian rhythms. Sleep. 2003; 26(3):342–92.

    PubMed  Google Scholar 

  25. Krauchi K, Wirz-Justice A. Circadian clues to sleep onset mechanisms. Neuropsychopharmacology. 2001; 25(5 Suppl):S92–6.

    Article  PubMed  CAS  Google Scholar 

  26. Quera-Salva MA, Defrance R, Claustrat B, De Lattre J, Guilleminault C. Rapid shift in sleep time and acrophase of melatonin secretion in short shift work schedule. Sleep. 1996;19(7):539–43.

    PubMed  CAS  Google Scholar 

  27. Van Someren EJ, Lijzenga C, Mirmiran M, Swaab DF. Long-term fitness training improves the circadian rest-activity rhythm in healthy elderly males. J Biol Rhythms. 1997;12(2):146–56.

    Article  PubMed  Google Scholar 

  28. Butner J, Diamond LM, Hicks AM. Attachment style and two forms of affect coregulation between romantic partners. Pers Relationship 2007;14(3):431–55.

    Article  Google Scholar 

  29. Finan PH, Hessler EE, Amazeen PG, Butner J, Zautra AJ, Tennen H. Oscillations in daily pain prediction accuracy. Nonlinear Dynamics Psychol Life Sci. 2010;14(1):27–46.

    PubMed  Google Scholar 

  30. Montpetit MA, Bergeman CS, Deboeck PR, Tiberio SS, Boker SM. Resilience-as-process: negative affect, stress, and coupled dynamical systems. Psychol Aging. 2010;25(3):631–40.

    Article  PubMed  Google Scholar 

  31. May RM. Simple mathematical models with very complicated dynamics. Nature. 1976;261:459–67.

    Article  PubMed  CAS  Google Scholar 

  32. Haken H, Kelso JA, Bunz H. A theoretical model of phase transitions in human hand movements. Biol Cybern. 1985;51(5):347–56.

    Article  PubMed  CAS  Google Scholar 

  33. Amazeen PG, Amazeen EL, Turvey MT. Breaking the reflectional symmetry of interlimb coordination dynamics. J Mot Behav. 1998;30(3):199–216.

    Article  PubMed  CAS  Google Scholar 

  34. Boker SM. Differential structural equation modeling of intraindividual variability. In: Collins LM, Sayer AG, editors. New methods for the analysis of change. Washington, DC: American Psychological Association; 2001. p. 5–27.

    Chapter  Google Scholar 

  35. Boker SM, Nesselroade JR. A method for modeling the intrinsic dynamics of intraindividual variability: recovering the parameters of simulated oscillators in multi-wave panel data. Multivar Behav Res. 2002; 37(1):127–60.

    Article  Google Scholar 

  36. Gu C. Adaptive spline smoothing in non-guassian regression models. J Am Stat Assoc. 1990;85(411): 801–7.

    Google Scholar 

  37. Kelso JAS. Dynamic patterns: the self-organization of brain and behavior. Cambridge, MA: MIT Press; 1995.

    Google Scholar 

  38. Bisconti TL, Bergeman CS, Boker SM. Emotional well-being in recently bereaved widows: a dynamical systems approach. J Gerontol B Psychol Sci Soc Sci. 2004;59(4):158–67.

    Article  Google Scholar 

  39. Odgers CL, Mulvey EP, Skeem JL, Gardner W, Lidz CW, Schubert C. Capturing the ebb and flow of psychiatric symptoms with dynamical systems models. Am J Psychiatry. 2009;166(5):575–82.

    Article  PubMed  Google Scholar 

  40. Post AA, de Groot G, Daffertshofer A, Beek PJ. Pumping a playground swing. Mot Control. 2007; 11(2):136–50.

    Google Scholar 

  41. Kugler PN, Turvey MT. Information, natural law, and the self-assembly of rhythmic movement. Mahwah, NJ: Lawrence Erlbaum Associates; 1987.

    Google Scholar 

  42. Rosenblum LD, Turvey MT. Maintenance tendency in co-ordinated rhythmic movements: relative fluctuations and phase. Neuroscience. 1988;27(1): 289–300.

    Article  PubMed  CAS  Google Scholar 

  43. Michaels CF, Carello C. Direct perception. Englewood Cliffs, NJ: Prentice-Hall; 1981.

    Google Scholar 

  44. Solé R, Goodwin B. Signs of life: how complexity pervades biology. New York: Basic Books; 2000.

    Google Scholar 

  45. Chomsky N. Aspects of the theory of syntax. Cambridge, MA: MIT Press; 1965.

    Google Scholar 

  46. Bryk AS, Raudenbush SW. Hierarchical linear models: applications and data analysis methods. Newbury Park, CA: Sage; 1992.

    Google Scholar 

  47. Boker SM, Ghisletta P. Random coefficients models for control parameters in dynamical systems. Multilevel Model Newslett. 2001;13(1):10–7.

    Google Scholar 

  48. Luke DA. Multilevel modeling. In: Lewis-Beck MS, editor. Series: Quantitative applications in the social sciences. Thousand Oaks, CA: Sage; 2004. p. 1–79.

    Google Scholar 

  49. Von Holst E. Relative coordination as a phenomenon and as a method of analysis of central nervous system function. In: Martin R, editor. The collected papers of Erich Von Holst: the behavioral physiology of animal and man. Coral Gables, FL: University of Miami Press; 1973. p. 33–135.

    Google Scholar 

  50. Kelso JA. Phase transitions and critical behavior in human bimanual coordination. Am J Physiol. 1984; 246(6):R1000–4.

    PubMed  CAS  Google Scholar 

  51. Kelso JAS, Schöner G, Scholz JP, Haken H. Phase-locked modes, phase transitions and component oscillators in biological motion. Phys Scripta. 1987;35(1): 79–87.

    Article  Google Scholar 

  52. Post AA, Peper CE, Daffertshofer A, Beek PJ. Relative phase dynamics in perturbed interlimb coordination: stability and stochasticity. Biol Cybern. 2000; 83(5): 443–59.

    Article  PubMed  CAS  Google Scholar 

  53. Scholz JP, Kelso JA. A quantitative approach to understanding the formation and change of coordinated movement patterns. J Mot Behav. 1989;21(2): 122–44.

    PubMed  CAS  Google Scholar 

  54. Boker SM. Consequences of continuity: the hunt for intrinsic properties within parameters of dynamics in psychological processes. Multivar Behav Res. 2002; 37(3):405–22.

    Article  Google Scholar 

  55. Kelly GA, Blake C, Power CK, O’Keeffe D, Fullen BM. The association between chronic low back pain and sleep: a systematic review. Clin J Pain. 2011;27(2): 169–81.

    Article  PubMed  Google Scholar 

  56. Smith MT, Haythornthwaite JA. How do sleep disturbance and chronic pain inter-relate? Insights from the longitudinal and cognitive-behavioral clinical trials literature. Sleep Med Rev. 2004;8(2):119–32.

    Article  PubMed  Google Scholar 

  57. Smith MT, Quartana PJ, Okonkwo RM, Nasir A. Mechanisms by which sleep disturbance contributes to osteoarthritis pain: a conceptual model. Curr Pain Headache Rep. 2009;13(6):447–54.

    Article  PubMed  Google Scholar 

  58. Hamilton NA, Affleck G, Tennen H, Karlson C, Luxton D, Preacher KJ, et al. Fibromyalgia: the role of sleep in affect and in negative event reactivity and recovery. Health Psychol. 2008;27(4):490–7.

    Article  PubMed  Google Scholar 

  59. O’Brien EM, Waxenberg LB, Atchison JW, Gremillion HA, Staud RM, McCrae CS, et al. Negative mood mediates the effect of poor sleep on pain among chronic pain patients. Clin J Pain. 2010; 26(4):310–9.

    Article  PubMed  Google Scholar 

  60. Boker SM, Laurenceau J. Dynamical systems modeling: an application to the regulation of intimacy and disclosure in marriage. In: Walls TA, Schafer JL, editors. Models for intensive longitudinal data. New York: Oxford University Press; 2006. p. 195–218.

    Chapter  Google Scholar 

  61. Boker SM, Laurenceau J. Coupled dynamics and mutually adaptive context. In: Little TD, Bovaird JA, Card NA, editors. Modeling contextual effects in longitudinal studies. Mahwah, NJ: Lawrence Erlbaum Associates; 2007. p. 299–324.

    Google Scholar 

  62. Nicholson JS, Deboeck PR, Farris JR, Boker SM, Borkowski JG. Maternal depressive symptomatology and child behavior: transactional relationship with simultaneous bidirectional coupling. Dev Psychol. 2011;47(5):1312–23.

    Article  PubMed  Google Scholar 

  63. Helm JL, Sbarra D, Ferrer E. Assessing cross-partner associations in physiological responses via coupled oscillator models. Emotion 2011:1–15. doi:10.1037/a0025036.

    Google Scholar 

  64. Abraham RH, Shaw CD. Dynamics: the geometry of behavior. Redwood City, CA: Addison-Wesley; 1992.

    Google Scholar 

  65. Beek PJ, Beek WJ. Tools for constructing dynamical models of rhythmic movement. Hum Movement Sci. 1988;7(2–4):301–42.

    Article  Google Scholar 

  66. Beek PJ, Schmidt RC, Morris AW, Sim MY, Turvey MT. Linear and nonlinear stiffness and friction in biological rhythmic movements. Biol Cybern. 1995;73(6): 499–507.

    Article  PubMed  CAS  Google Scholar 

  67. Anderson KO, Bradley LA, Young LD, McDaniel LK, Wise CM. Rheumatoid arthritis: review of psychological factors related to etiology, effects, and treatment. Psychol Bull. 1985;98(2):358–87.

    Article  PubMed  CAS  Google Scholar 

  68. Rachman S, Arntz A. The overprediction and underprediction of pain. Clin Psychol Rev. 1991;11(4): 339–55.

    Article  Google Scholar 

  69. Treffner PJ, Turvey MT. Handedness and the asymmetric dynamics of bimanual rhythmic coordination. J Exp Psychol Hum. 1995;21(2):318–33.

    Article  Google Scholar 

  70. Treffner PJ, Turvey MT. Symmetry, broken symmetry, and handedness in bimanual coordination dynamics. Exp Brain Res. 1996;107(3):463–78.

    Article  PubMed  CAS  Google Scholar 

  71. Cacioppo JT, Gardner WL, Berntson GG. The affect system has parallel and integrative processing components: form follows function. J Pers Soc Psychol. 1999;76(5):839–55.

    Article  Google Scholar 

  72. Russell JA, Carroll JM. On the bipolarity of positive and negative affect. Psychol Bull. 1999;125(1): 3–30.

    Article  PubMed  CAS  Google Scholar 

  73. Davis MC, Zautra AJ, Smith BW. Chronic pain, stress, and the dynamics of affective differentiation. J Pers. 2004;72(6):1133–59.

    Article  PubMed  Google Scholar 

  74. Zautra A, Smith B, Affleck G, Tennen H. Examinations of chronic pain and affect relationships: applications of a dynamic model of affect. J Consult Clin Psychol. 2001;69(5):786–95.

    Article  PubMed  CAS  Google Scholar 

  75. Ong AD, Bergeman CS, Bisconti TL, Wallace KA. Psychological resilience, positive emotions, and successful adaptation to stress in later life. J Pers Soc Psychol. 2006;91(4):730–49.

    Article  PubMed  Google Scholar 

  76. Zautra AJ, Berkhof J, Nicolson NA. Changes in affect interrelations as a function of stressful events. Cogn Emot. 2002;16(2):309–18.

    Article  Google Scholar 

  77. Ursin H, Olff M. Psychobiology of coping and defence strategies. Neuropsychobiology. 1993;28(1–2): 66–71.

    Article  PubMed  CAS  Google Scholar 

  78. Linville PW. Self-complexity and affective extremity: don’t put all of your eggs in one cognitive basket. Soc Cogn. 1985;3(1):94–120.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eric E. Hessler .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Hessler, E.E., Finan, P.H., Amazeen, P.G. (2013). Psychological Rhythmicities. In: Sturmberg, J., Martin, C. (eds) Handbook of Systems and Complexity in Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4998-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-4998-0_8

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4997-3

  • Online ISBN: 978-1-4614-4998-0

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics