Skip to main content

Part of the book series: Springer Series in Synergetics ((SSSYN))

  • 450 Accesses

Abstract

As pointed out in Sects. 1.5, 3.1, and 3.2 the pattern formation perspective is part of a broad perspective that addresses how system of the animate and inanimate worlds can form qualitatively new states and how transitions between qualitatively different states take place. In this context, aggregate phase transitions (e.g., transitions from ice to water), phase transitions in non-equilibrium systems of the inanimate world (e.g., emergence of roll patterns in fluids and gases heated from below), and transitions between qualitatively different movement patterns of humans and animals (e.g., walk to trot gait transitions in horses) have been considered on an equal footing. It has been pointed out that when an individual stands up from a chair and starts to walk, then the sit-to-stand and stand-to-walk transitions from a physics perspective are considered as counterparts to aggregate phase transitions such as ice-to-water and water-to-gas transitions.

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
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover 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.

    Note that there might be hysteresis such that there are actually two different critical values.

  2. 2.

    For example, when the author of this book is happily drinking a cup of coffee while typing these lines the actions performed by the author are as compulsive as a the actions performed by a OCD patient during a ritual. The classifications of actions in terms of voluntary and involuntary actions, automated and non-automated actions, compulsive actions, reflex-like actions, self-aware actions, conscious and non-conscious actions, all involve an element or the negation of an element of “choice” or “free will”. However, when taken a physics-based scientific approach automated just as non-automated actions are parts of cause-and-effect chains. In non-automated actions the cause-and-effect relationships are not “less strong” or “less dominant” as compared to automated actions. Likewise, compulsive actions and reflex-like actions just as self-aware actions follows cause-and-effect chains and follow in every step and moment in time the laws of physics just as every tick of a mechanical pendulum clock follows from the laws of physics. Self-aware actions are not “less bounded” by physics as compared to compulsive actions or reflex-like actions. The amount of “freedom” involved in self-aware actions is just the same as the amount of “freedom” involved in compulsive and reflex-like actions, namely, zero. The same applies to the distinction of conscious and non-conscious actions (in addition see Sect. 7.2.2). In this sense, from a physics-based scientific perspective the phrases voluntary and involuntary actions, automated and non-automated actions, compulsive actions, reflex-like actions, self-aware actions, conscious and non-conscious actions, are meaningless. Such phrases might be useful when understanding humans and animals from spiritualistic, religious perspectives.

  3. 3.

    If—after reading these lines—the brain state and brain structure of the reader is in a certain condition, then he/she will produce human isolated brain BA patterns about those possibilities.

  4. 4.

    In addition, we could assume that λ 0 decreases with α as in Sect. 6.5.3. In the context of grasping transitions and gait transitions such a decrease can be motivated explicitly. However, here we just assume that λ 0 remains constant.

  5. 5.

    More precisely, as discussed in Sect. 5.4.1 it is assumed that forces exerted by objects and events shift under idealized symmetric conditions the brain state of humans into the basin of attraction of a certain attractor. The attractor may be labeled as the attractor related to the BBA pattern of “there is something” but any other label could be used as well. The attractor is associated with an unstable basis pattern (which makes that the attractor exists at all). The eigenvalue of that basis pattern is assumed to be increased under schizophrenia.

  6. 6.

    That is, taking a scientific perspective, schizophrenic patients react to facial expressions of emotions differently as compared to healthy adults and this difference might be a specific symptom for schizophrenia or it might reflect that in general schizophrenic patients react differently to the forces of the world acting on them. Note that from a scientific perspective there are no such things as “deficits” or “failures” or “impairments”. Such a terminology might be useful within spiritualistic, e.g., religious, approaches to understand humans. E.g., key elements of Christianity are that humans fail, on the one hand, and that God is a forgiving entity, on the other hand.

  7. 7.

    The concept of a “target” emotion is not a scientific one, just as the concept of “attention” is not a scientific concept. However, we will not dwell on this issue here.

  8. 8.

    Of course, taking a science point of view, at no point in time the participants in the experiment had a “choice”. Neither were there any “alternatives”.

  9. 9.

    Of course, saying that participants in this experiment made “decisions” is like saying that water makes “decisions” when it turns into ice. From a science perspective, participants did not make “decisions” at all.

  10. 10.

    An analogous phenomenon caused by forces of the acoustic world has been discussed in the context of the “say” to “stay” bifurcation of phrases “sa..y” that are equipped with a gap, see Sect. 5.3 with Fig. 5.10 and Sect. 7.6.2.

  11. 11.

    And in this sense participants make “recognition failures” if they are exposed to a fearful face. However, as such the concept of “failures” is a spiritualistic one—like the concepts of the good and the evil—, not a scientific one.

References

  1. S. Avissar, G. Schreiber, The involvement of guanine nucleotide binding proteins in the pathogenesis and treatment of affective disorders. Biol. Psychiatry 31, 435–459 (1992)

    Article  Google Scholar 

  2. G. Barbalat, M. Rouault, N. Bazargani, S. Shergill, S.J. Blakemore, The influence of prior expectations on facial expression discrimination in schizophrenia. Psychol. Med. 42, 2301–2311 (2012)

    Article  Google Scholar 

  3. M. Bauer, S. Beaulieu, D.L. Dunner, B. Lafer, R. Kupka, Rapid cycling bipolar disorder - diagnostic concepts. Bipolar Disord. 10, 153–162 (2008)

    Article  Google Scholar 

  4. C.L. Bowden et al., The efficacy of lamotrigine in rapid cycling and non-rapid cycling patients with bipolar disorder. Biol. Psychiatr. 45, 953–958 (1999)

    Article  Google Scholar 

  5. P.C. Bressloff, J.D. Cowan, M. Golubitsky, P.J. Thomas, M.C. Wiener, Geometric visual hallucinations, Euclidean symmetry and the functional architecture of striate cortex. Phil. Trans. R. Soc. Lond. B 356, 299–330 (2001)

    Article  MATH  Google Scholar 

  6. P.C. Bressloff, J.D. Cowan, M. Golubitsky, P.J. Thomas, M.C. Wiener, What geometric visual hallucinations tell us about the visual cortex. Neural Comput. 14, 473–491 (2002)

    Article  MATH  Google Scholar 

  7. P.D. Butler, S.M. Silverstein, S.C. Dakin, Visual perception and its impairment in schizophrenia. Biol. Psychiatry 64, 40–47 (2008)

    Article  Google Scholar 

  8. D. Cho, C.L. Park, T.O. Blank, Emotional approach coping: gender differences on psychological adjustment in young to middle-aged cancer survivors. Psychol. Health 28, 874–894 (2013)

    Article  Google Scholar 

  9. L. Ciompi, The key role of emotions in the schizophrenia puzzle. Schizophr. Bull. 4, 318–322 (2015)

    Article  Google Scholar 

  10. R.J. Comer, Abnormal Psychology (Worth Publishers, New York, 2007)

    Google Scholar 

  11. J.T. Coyle, R.S. Duman, Finding the intercellular signaling pathways affected by mood disorder treatments. Neuron, 38, 157–160 (2003)

    Article  Google Scholar 

  12. J. Du, J. Quiroz, P. Yuan, C. Zarate, H.K. Manji, Bipolar disorder: involvement of signaling cascades and AMPA receptor trafficking at synapses. Neuron Glia Biol. 1, 231–243 (2004)

    Article  Google Scholar 

  13. S.L. Dubovsky, Rapid cycling bipolar disease: new concepts and treatments. Curr. Psychiatry Rep. 3, 451–462 (2001)

    Article  Google Scholar 

  14. H. Einat, H.K. Manji, Cellular plasticity cascades: genes-to-behavior pathways in animal models of bipolar disorder. Biol. Psychiatry 59, 1160–1171 (2006)

    Article  Google Scholar 

  15. L. Fajutrao et al., A systematic review of the evidence of the burden of bipolar disorder in Europe. Clin. Pract. Epidemiol. Ment. Health 5, article 3 (2009)

    Article  Google Scholar 

  16. E.B. Foa, Cognitive behavioral therapy of obsessive-compulsive disorder. Dialogues Clin. Neurosci. 12, 199–207 (2010)

    Google Scholar 

  17. T.D. Frank, Multivariate Markov processes for stochastic systems with delays: application to the stochastic Gompertz model with delay. Phys. Rev. E 66, 011914 (2002)

    Article  ADS  MathSciNet  Google Scholar 

  18. T.D. Frank, Delay Fokker-Planck equations, perturbation theory, and data analysis for nonlinear stochastic systems with time delays. Phys. Rev. E 71, 031106 (2005)

    Article  ADS  Google Scholar 

  19. T.D. Frank, On a multistable competitive network model in the case of an inhomogeneous growth rate spectrum with an application to priming. Phys. Lett. A 373, 4127–4133 (2009)

    Article  ADS  MATH  Google Scholar 

  20. T.D. Frank, A limit cycle model for cycling mood variations of bipolar disorder patients derived from cellular biochemical reaction equations. Commun. Nonlinear Sci. Numer. Simul. 18, 2107–2119 (2013)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  21. T.D. Frank, Action flow in obsessive-compulsive disorder rituals: a model based on extended synergetics and a comment on the 4th law. J. Adv. Phys. 5, 845–853 (2014)

    Article  Google Scholar 

  22. T.D. Frank, From systems biology to systems theory of bipolar disorder, in Systems Theory: Perspectives, Applications and Developments, ed. by F. Miranda, Chap. 2 (Nova Publ., New York, 2014), pp. 17–36

    Google Scholar 

  23. T.D. Frank, Multistable perception in schizophrenia: a model-based analysis via coarse-grained order parameter dynamics and a comment on the 4th law. Univ. J. Psychol. 2, 231–240 (2014)

    Google Scholar 

  24. T.D. Frank, Secondary bifurcations in a Lotka-Volterra model for n competitors with applications to action selection and compulsive behaviors. Int. J. Bifurcation Chaos 24, article 1450156 (2014)

    Article  ADS  MathSciNet  MATH  Google Scholar 

  25. T.D. Frank, On the interplay between order parameter and system parameter dynamics in human perceptual-cognitive-behavioral systems. Nonlinear Dynamics Psychol. Life Sci. 19, 111–146 (2015)

    ADS  MathSciNet  Google Scholar 

  26. T.D. Frank, M.J. Richardson, S.M. Lopresti-Goodman, M.T. Turvey, Order parameter dynamics of body-scaled hysteresis and mode transitions in grasping behavior. J. Biol. Phys. 35, 127–147 (2009)

    Article  Google Scholar 

  27. K.J. Friston, Theoretical neurobiology and schizophrenia. Br. Med. Bull. 52, 644–655 (1996)

    Article  Google Scholar 

  28. L. Glass, M.C. Mackey, From Clocks to Chaos (Princeton University Press, Princeton, 1988)

    MATH  Google Scholar 

  29. T.D. Gould, H.K. Manji, Signaling networks in the pathophysiology and treatment of mood disorders. J. Psychosom. Res. 53, 687–697 (2002)

    Article  Google Scholar 

  30. K.S. Griswold, L.F. Pessar, Management of bipolar disorder. Am. Family Phys. 62, 1343–1353 (2000)

    Google Scholar 

  31. H. Haken, Synergetics. An Introduction (Springer, Berlin, 1977)

    Google Scholar 

  32. H. Haken, Light - Laser Light Dynamics (North-Holland Publ. Company, Amsterdam, 1985)

    Google Scholar 

  33. H. Haken, Synergetic Computers and Cognition (Springer, Berlin, 1991)

    Book  MATH  Google Scholar 

  34. H. Haken, G. Schiepek, Synergetik in der Psychologie (in German) (Hogrefe, Gottingen, 2006)

    Google Scholar 

  35. J.D. Huppert, M.E. Franklin, Cognitive behavioral therapy for obsessive-compulsive disorder: an update. Curr. Psychiatric Rep. 7, 268–273 (2005)

    Article  Google Scholar 

  36. R.S. Jope, Anti-bipolar therapy: mechanisms of action of lithium. Mol. Psychiatry 4, 117–128 (1999)

    Article  Google Scholar 

  37. M.B. Keller, L.A. Baker, Bipolar disorder: epidemiology, course, diagnosis, and treatment. Bull. Menn. Clin. 55, 172–181 (1991)

    Google Scholar 

  38. S. Keri, A. Antal, G. Szekeres, G. Benedek, Z. Janka, Spatiotemporal visual processing in schizophrenia. J. Neuropsychiatry Clin. Neurosci. 14, 190–196 (2002)

    Article  Google Scholar 

  39. S.L. Kerr, J.M. Neale, Emotion perception in schizophrenia: specific deficit or further evidence of generalized poor performance? J. Abnorm. Psychol. 102, 312–318 (1993)

    Article  Google Scholar 

  40. K. Koffka, An introduction to gestalt theory. Psychol. Bull. 19, 531–585 (1922)

    Article  Google Scholar 

  41. A. Kreinin, Hearing voices in schizophrenia: who’s voices are they? Med. Hypotheses 80, 352–356 (2013)

    Article  Google Scholar 

  42. R.W. Kupka et al., Comparison of rapid-cycling and non-rapid-cycling bipolar disorder based on prospective mood rating in 539 outpatients. Am. J. Psychiatry 162, 1273–1280 (2005)

    Article  Google Scholar 

  43. S. Kuroda, N. Schweighofer, M. Kawato, Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulation. J. Neuroscience 21, 5693–5702 (2001)

    Article  Google Scholar 

  44. D.D. Kurylo, R. Pasternak, G. Silipo, D.C. Javin, P.D. Butler, Perceptual organization by proximity and similarity in schizophrenia. Schizophr. Res. 95, 205–214 (2007)

    Article  Google Scholar 

  45. S.M. Lopresti-Goodman, M.T. Turvey, T.D. Frank, Behavioral dynamics of the affordance “graspable”. Atten. Percept. Psychophys. 73, 1948–1965 (2011)

    Article  Google Scholar 

  46. M.H.R. Ludtmann, K. Boeckeler, R.S.B. Williams, Molecular pharmacology in a simple model system: implicating MAP kinase and phosphoinositide signalling in bipolar disorder. Semin. Cell Dev. Biol. 22, 105–113 (2011)

    Article  Google Scholar 

  47. M.R. Lyons, A.E. West, Mechanisms of specificity in neuronal activity-regulated gene transportation. Prog. Neurobiol. 94, 259–295 (2011)

    Article  Google Scholar 

  48. A.W. MacDonald, S.C. Schulz, What we know: findings that every theory of schizophrenia should explain. Schizophr. Bull. 35, 493–508 (2009)

    Article  Google Scholar 

  49. M.C. Mackey, L. Glass, Oscillations and chaos in physiological control systems. Science 197, 287–289 (1977)

    Article  ADS  MATH  Google Scholar 

  50. P. Mackin, A.H. Young, Rapid cycling bipolar disorder: historical overview and focus on emerging treatments. Bipolar Disord. 6, 523–529 (2004)

    Article  Google Scholar 

  51. M.K. Mandal, R. Pandey, A.B. Prasad, Facial expressions of emotions and schizophrenia: a review. Schizophr. Bull. 24, 399–412 (1998)

    Article  Google Scholar 

  52. J.R. Martin, G. Dezechache, D. Pressnitzer, P. Nuss, J. Dokic, N. Bruno, E. Pacherie, N. Franck, Perceptual hysteresis as a marker of perceptual inflexibility in schizophrenia. Conscious. Cogn. 30, 62–72 (2014)

    Article  Google Scholar 

  53. D. Mataix-Cols, S. Wooderson, N. Lawrence, M.J. Brammer, A. Speckens, M.L. Phillips, Distinct neural correlates of washing, checking, and hoarding symptom dimensions in obsessive-compulsive disorder. Arch. Gen. Psychiatry 61, 564–576 (2004)

    Article  Google Scholar 

  54. D.J. Miklowitz, M.J. Goldstein, Family factors and the course of bipolar affective disorder. Arch. Gen. Psychiatry 45, 225–231 (1988)

    Article  Google Scholar 

  55. S. Mongkolsakulvong, T.D. Frank, Synchronization and anchoring of two non-harmonic canonical-dissipative oscillators via Smorodinsky-Winternitz potentials. Condens. Matter Phys. 20, article 44001 (2017)

    Article  Google Scholar 

  56. M.I. Rabinovich, M.K. Muezzinoghu, I. Strigo, A. Bystritsky, Dynamic principles of emotion-cognition interaction: mathematical images of mental disorders. PLoS One 5, e12547 (2010)

    Article  ADS  Google Scholar 

  57. G. Roeper, S. Rachman, Obsessional-compulsive checking: experimental replication and development. Behav. Res. Therapy 12, 25–32 (1976)

    Article  Google Scholar 

  58. S. Saha, D. Chant, J. Welham, J. McGrath, A systematic review of the prevalence of schizophrenia. PLos Med. 2, article e141 (2005)

    Article  Google Scholar 

  59. J.D. Salamone, A. Wisniecki, B.B. Carlson, M. Correa, Nucleus accumbens dopamine depletions make animals highly sensitive to high fixed ratio requirements but do not impair primary food reinforcement. Neuroscience 105, 863–870 (2001)

    Article  Google Scholar 

  60. G. Schiepek, G. Strunk, The identification of critical fluctuations and phase transitions in short term and coarse-grained time series: a method for real time monitoring of human change processes. Biol. Cybern. 102, 197–207 (2010)

    Article  Google Scholar 

  61. G. Schiepek, I. Tominschek, S. Karch, et al., A controlled single case study with repeated fMRI measurements during the treatment of a patient with obsessive-compulsive disorder: testing the nonlinear dynamics approach to psychotherapy. World J. Biol. Psychiatry 10, 658–668 (2009)

    Article  Google Scholar 

  62. G. Schiepek, I. Tominschek, S. Heinzel, et al., Discontinuous patterns of brain activation in the psychotherapy process of obsessive-compulsive disorder: converging results from repeated fMRI and daily self-reports. PLoS One 8, article e71863 (2013)

    Article  ADS  Google Scholar 

  63. G. Schiepek, W. Aichhorn, M. Gruber, G. Strunk, E. Bachler, B. Aas, Real-time monitoring of psychotherapeutic processes: concept and compliance. Front. Psychol. 7, article 604 (2016)

    Google Scholar 

  64. G. Schreiber, S. Avissar, Lithium sensitive G protein hyperfunction: a dynamic model for the pathogenesis of bipolar affective disorder. Med. Hypotheses 35, 237–243 (1991)

    Article  Google Scholar 

  65. A.L. Stanton, S.B. Kirk, C.L. Cameron, S. Danoff-Burg, Coping through emotional approach: scale construction and validation. J. Pers. Soc. Psychol. 78, 1150–1169 (2000)

    Article  Google Scholar 

  66. A. Steinacher, K.A. Wright, Relating the bipolar spectrum to dysregulation of behavioral activation: a perspective from dynamical modelling. PLoS One 8, article e63345 (2013)

    Article  ADS  Google Scholar 

  67. K. Tanaka, G.J. Augustine, A positive feedback signal transduction loop determines timing of cerebellar long-term depression. Neuron 59, 608–620 (2008)

    Article  Google Scholar 

  68. F. Tretter, P.J. Gebicke-Haerter, U. an der Heiden, H.W. Mewes, C.W. Turck, Affective disorders as complex dynamic diseases: a perspective from systems biology. Pharmacopsychiatry 44(Suppl 1), S2–S8 (2011)

    Article  Google Scholar 

  69. W. Tschacher, How specific is the Gestalt-informed approach to schizophrenia. Gestalt Theory: Int. Multidiscip. J. 26, 335–344 (2004)

    Google Scholar 

  70. W. Tschacher, C. Scheier, K. Grawe, Order and pattern formation in psychotherapy. Nonlinear Dynamics Psychol. Life Sci. 2, 195–215 (1998)

    Article  Google Scholar 

  71. W. Tschacher, D. Schuler, U. Junghan, Reduced perception of the motion-induced blindness illusion in schizophrenia. Schizophr. Res. 81, 261–267 (2006)

    Article  Google Scholar 

  72. P.J. Uhlhaas, S.M. Silverstein, The continuing relevance of Gestalt psychology for an understanding of schizophrenia. Gestalt Theory Int. Multidiscip. J. 25, 256–279 (2003)

    Google Scholar 

  73. F. Waters, Visual hallucinations in the psychosis spectrum and comparative information from neurodegenerative disorders and eye diseases. Schizophr. Bull. 40(Suppl.), S233–S245 (2017)

    Article  Google Scholar 

  74. M. Wertheimer, Untersuchungen zur Lehre von Gestalt II (in German). Psychol. Forsch. 4, 301–305 (1923)

    Article  Google Scholar 

  75. T.S. Woodward, S. Moritz, M. Menon, Belief inflexibility in schizophrenia. Cogn. Neuropsychiatry 13, 267–277 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Frank, T. (2019). Applications in Clinical Psychology. In: Determinism and Self-Organization of Human Perception and Performance. Springer Series in Synergetics. Springer, Cham. https://doi.org/10.1007/978-3-030-28821-1_10

Download citation

Publish with us

Policies and ethics