Der Mensch zwischen Erinnerung und Bedürfnis

  • Hans J. Markowitsch
  • Margit M. Schreier


Es wird herausgearbeitet, dass Menschen Bedürfnisse haben, die sie über Erinnerungen in Form von Vorstellung zu reaktivieren trachten. Der heutige Mensch wird dabei als integriert in einen bio-psycho-sozialen Kontext verstanden, aus dem heraus er seine Bedürfnisse formuliert und aktiviert. Lebenszufriedenheit und „Work-Life-Balance“ werden als gegenwärtig zentrale Wunschbereiche herausgestellt, ebenso wie die Anwendung von Psychischen Neuroimplantaten zur Bedürfnisstillung mittels NIKU-APP. Die Möglichkeiten der Digitalisierung – von eHealth, Apps bis IPhone/Smartphone – werden als hilfreiche Angebote zur Erreichung persönlicher Bedürfnisbefriedigung und zur Differenzierung zwischen Scheinbedürfnissen und echten Bedürfnissen herausgestrichen.


  1. Andreasson, K., Krogh, J., Bech, P., Frandsen, H., Buus, N., Stanley, B., Kerkhof, A., Nordentoft, M., & Erlangsen, A. (2017). MYPLAN-mobile phone application to anage crisis of persons at risk of suicide: Study protocol for a randomized controlled trial. Trials, 18, Art. 171.–017–1876–9. Zugegriffen am 22.06.2018.
  2. Arioli, M., Perani, D., Cappa, S., Proverbio, A. M., Zani, A., Falini, A., & Canessa, N. (2018). Affective and cooperative social interactions modulate effective connectivity within and between the mirror and mentalizing systems. Human Brain Mapping, 39, 1412–1427.Google Scholar
  3. Bengtsson, U., Kasperowski, D., Ring, L., & Kjellgren, K. (2014). Developing an interactive mobile phone self-report system for self-management of hypertension. Part 1: Patient and professional perspectives. Blood Pressure, 23, 288–295.Google Scholar
  4. Blankenstein, N. E., Peper, J. S., Crone, E. A., & van Duijvenvoorde, A. C. K. (2017). Neural mechanisms underlying risk and ambiguity attitudes. Journal of Cognitive Neuroscience, 29, 1845–1859.Google Scholar
  5. van den Bos, W., & Hertwig R. (2017). Adolescents display distinctive tolerance to ambiguity and to uncertainty during risky decision making. Science Reports, 7 Art. 40962. Zugegriffen am 16.02.2018.
  6. Britto, M. T., Rohan, J. M., Dodds, C. M., & Byczkowski, T. L. (2017). A randomized trial of user-controlled text messaging to improve asthma outcomes: A pilot study. Clinical Pediatrics (Phila), 56, 1336–1344.Google Scholar
  7. Brunner, M., McGregor, D., Keep, M., Janssen, A., Spallek, H., Quinn, D., Jones, A., Tseris, E., Yeung, W., Togher, L., Solman, A., & Shaw, T. (2018). An eHealth capabilities framework for graduates and health professionals: Mixed-methods study. Journal of Medical Internet Research, 20, e10229. Zugegriffen am 22.06.2018.
  8. Chan, S., Godwin, H., Gonzalez, A., Yellowlees, P. M., & Hilty, D. M. (2017). Review of use and integration of mobile apps into psychiatric treatments. Current Psychiatry Reports, 19, Art. 96.–017–0848–9. Zugegriffen am 22.06.2018.
  9. Chen, G. F., Liu, L. L., Cui, J. F., Chen, T., Qin, X. J., Gan, J. C., Bi, B., Neumann, D. L., Shum, D. H. K., Wang, Y., & Chan, R. C. K. (2017). Life review therapy enhances mental time travel in patients with schizophrenia. Psychiatry Research, 258, 145–152.Google Scholar
  10. Dulin, P. L., Gonzalez, V. M., & Campbell, K. (2014). Results of a pilot test of a self-administered smartphone-based treatment system for alcohol use disorders: Usability and early outcomes. Substance Abuse, 35, 168–175.Google Scholar
  11. Egan, L. C., Santos, L. R., & Bloom, P. (2007). The origins of cognitive dissonance: Evidence from children and monkeys. Psychological Science, 18, 978–983.Google Scholar
  12. Fabbrocini, G., Izzo, R., Donnarumma, M., Marasca, C., & Monfrecola, G. (2014). Acne smart club: An educational program for patients with acne. Dermatology, 229, 136–140.Google Scholar
  13. Fointiat, V., & Pelt, A. (2015). Do I know what I’m doing? Cognitive dissonance and action identification theory. Spanish Journal of Psychology, 18, E97. Zugegriffen am 09.06.2017.
  14. Fossati, P., Hevenor, S. J., Graham, S. J., Grady, C., Keightley, M. L., Craik, F., & Mayberg, H. (2003). In search of the emotional self: An fMRI study using positive and negative emotional words. American Journal of Psychiatry, 160, 1938–1945.Google Scholar
  15. Glass, J. E., McKay, J. R., Gustafson, D. H., Kornfield, R., Rathouz, P. J., McTavish, F. M., Atwood, A. K., Isham, A., Quanbeck, A., & Shah, D. (2017). Treatment seeking as a mechanism of change in a randomized controlled trial of a mobile health intervention to support recovery from alcohol use disorders. Journal of Substance Abuse Treatment, 77, 57–66.Google Scholar
  16. Groussard, P. Y., Pigot, H., & Giroux, S. (2018). From conception to evaluation of mobile services for people with head injury: A participatory design perspective. Neuropsychological Rehabilitation, 28, 667–688.Google Scholar
  17. Grözinger, M., & Conca, A. (2015). Correspondence (letter to the editor): Bio-psycho-social aspects of an overall treatment plan. Deutsches Ärzteblatt International, 112, 419.Google Scholar
  18. Hallberg, I., Ranerup, A., & Kjellgren, K. (2016). Supporting the self-management of hypertension: Patients’ experiences of using a mobile phone-based system. Journal of Human Hypertension, 30, 141–146.Google Scholar
  19. Hering, E. (1870). Ueber das Gedächtnis als eine allgemeine Funktion der organisierten Materie. Vortrag gehalten in der feierlichen Sitzung der Kaiserlichen Akademie der Wissenschaften in Wien am XXX. Mai MDCCCLXX. Leipzig: Akademische Verlagsgesellschaft.Google Scholar
  20. Horsch, C. H., Lancee, J., Griffioen-Both, F., Spruit, S., Fitrianie, S., Neerincx, M. A., Beun, R. J., & Brinkman, W. P. (2017). Mobile phone-delivered cognitive behavioral therapy for insomnia: A randomized waitlist controlled trial. Journal of Medical Internet Research, 19, e70. Zugegriffen am 24.05.2018.
  21. Jarcho, J. M., Berkman, E. T., & Lieberman, M. D. (2001). The neural basis of rationalization: Cognitive dissonance reduction during decision-making. Social Cognitive and Affective Neuroscience, 6, 460–467.Google Scholar
  22. Jeon, H., & Lee, S. H. (2018). From neurons to social beings: Short review of the mirror neuron system research and its socio-psychological and psychiatric implications. Clinical Psychopharmacology and Neuroscience, 16, 18–31.Google Scholar
  23. Karapanagiotidis, T., Bernhardt, B. C., Jefferies, E., & Smallwood, J. (2017). Tracking thoughts: Exploring the neural architecture of mental time travel during mind-wandering. NeuroImage, 147, 272–281.Google Scholar
  24. Keysers, C., Paracampo, R., & Gazzola, V. (2018). What neuromodulation and lesion studies tell us about the function of the mirror neuron system and embodied cognition. Current Opinion in Psychology, 24, 35–40.Google Scholar
  25. Khan, I., Ndubuka, N., Stewart, K., McKinney, V., & Mendez, I. (2017). The use of technology to improve health care to Saskatchewan’s First Nations communities. Canada Communicable Disease Report, 43, 120–124.Google Scholar
  26. Kim, E. J., Kyeong, S., Cho, S. W., Chun, J. W., Park, H. J., Kim, J., Kim, J., Dolan, R. J., & Kim, J. J. (2016). Happier people show greater neural connectivity during negative self-referential processing. PLoS One, 11, e0149554. Zugegriffen am 12.11.2017.
  27. Kong, F., Wang, X., Hu, S., & Liu, J. (2015). Neural correlates of psychological resilience and their relation to life satisfaction in a sample of healthy young adults. NeuroImage, 123, 165–172.Google Scholar
  28. Kraft, S., Wolf, M., Klein, T., Becker, T., Bauer, S., & Puschner, B. (2017). Text message feedback to support mindfulness practice in people with depressive symptoms: A pilot randomized controlled trial. JMIR mhealth and uhealth, 5, e59. Zugegriffen am 24.06.2018.
  29. Kuykendall, L., Tay, L., & Ng, V. (2015). Leisure engagement and subjective well-being: A meta-analysis. Psychological Bulletin, 141, 364–403.Google Scholar
  30. Lachmann, B., Sariyska, R., Kannen, C., Błaszkiewicz, K., Trendafilov, B., Andone, I., Eibes, M., Markowetz, A., Li, M., Kendrick, K. M., & Montag, C. (2017). Contributing to overall life satisfaction: Personality traits versus life satisfaction variables revisited – Is replication impossible? Behavioral Sciences (Basel), 8, 1. Zugegriffen am 18.06.2018.
  31. Landsiedel, J., & Gilbert, S. J. (2015). Creating external reminders for delayed intentions: Dissociable influence on „task-positive“ and „task-negative“ brain networks. NeuroImage, 104, 231–240.Google Scholar
  32. Lua, P. L., & Neni, W. S. (2013). Health-related quality of life improvement via telemedicine for epilepsy: Printed versus SMS-based education intervention. Quality of Life Research, 22, 2123–2132.Google Scholar
  33. Mahr, J. B., & Csibra, G. (2018). What is it to remember? Behavioral and Brain Sciences, 41. Zugegriffen am 11.02.2018.
  34. Mantani, A., Kato, T., Furukawa, T. A., Horikoshi, M., Imai, H., Hiroe, T., Chino, B., Funayama, T., Yonemoto, N., Zhou, Q., & Kawanishi, N. (2017). Smartphone cognitive behavioral therapy as an adjunct to pharmacotherapy for refractory depression: Randomized controlled trial. Journal of Medical Internet Research, 19, e373. Zugegriffen am 28.04.2018.
  35. Markowitsch, H. J. (2000). Die Anfälligkeit autobiographischer Erinnerung gegenüber Stress: eine neuropsychologische Perspektive. In M. Neumann (Hrsg.), Erzählte Identitäten (S. 215–229). München: Wilhelm Fink Verlag.Google Scholar
  36. Markowitsch, H. J. (2003). Autonoëtic consciousness. In A. S. David & T. Kircher (Hrsg.), The self in neuroscience and psychiatry (S. 180–196). Cambridge: Cambridge University Press.Google Scholar
  37. Markowitsch, H. J. (2012). Tras la huella de la memoria, la neurofisiologia de la memoria autobiografica. In F. Schmidt-Welle (Hrsg.), Culturas de la memoria. Teoria, historia y praxi simbólica (S. 13–31). Mexico, D. F.: Siglo XXI.Google Scholar
  38. Markowitsch, H. J. (2013). Memory and self – Neuroscientific landscapes. ISRN Neuroscience, Art. ID 176027, 26 S.
  39. Markowitsch, H. J., & Piefke, M. P. (2002). Umwelt-induzierte Gedächtnisstörungen: Neuronale Korrelate für die Auswirkung von Stressauf die Erinnerung. In H. M. Müller & G. Rickheit (Hrsg.), Neurokognition der Sprache (S. 299–318). Tübingen: Stauffenberg.Google Scholar
  40. Markowitsch, H. J., & Staniloiu, A. (2011a). Amygdala in action: Relaying biological and social significance to autobiographic memory. Neuropsychologia, 49, 718–733.Google Scholar
  41. Markowitsch, H. J., & Staniloiu, A. (2011b). Memory, autonoetic consciousness, and the self. Consciousness and Cognition, 20, 16–39.Google Scholar
  42. Markowitsch, H. J., & Staniloiu, A. (2013). Die verschollene Erinnerung: Wechselspiel zwischen Vorstellung und Wirklichkeit im traumatischen Erleben. In A. Assmann (Hrsg.), Traumata in der Kunst. Konstanz: Universitätsverlag.Google Scholar
  43. Mather, M. (2010). Aging and cognition. Wiley Interdisciplinary Reviews: Cognitive Sciences, 1, 346–362.Google Scholar
  44. Matsumoto, A., Ichikawa, Y., Kanayama, N., Ohira, H., & Iidaka, T. (2006). Gamma band activity and its synchronization reflect the dysfunctional emotional processing in alexithymic persons. Psychophysiology, 43, 533–540.Google Scholar
  45. McDonald, A., Haslam, C., Yates, P., Gurr, B., Leeder, G., & Sayers, A. (2011). Google Calendar: A new memory aid to compensate for prospective memory deficits following acquired brain injury. Neuropsychological Rehabilitation, 21, 784–807.Google Scholar
  46. Muralidharan, S., Mohan, V., Anjana, R. M., Jena, S., Tandon, N., Allender, S., & Ranjani, H. (2017). Mobile health technology (mDiab) for the prevention of type 2 diabetes: Protocol for a randomized controlled trial. JIMR Research Protocols, 6, e242. Zugegriffen am 23.05.2018.
  47. Nøhr, C., Koch, S., Vimarlund, V., Gilstad, H., Faxvaag, A., Hardardottir, G. A., Andreassen, H. K., Kangas, M., Reponen, J., Bertelsen, P., Villumsen, S., & Hyppönen, H. (2018). Monitoring and benchmarking eHealth in the Nordic countries. Studies in Health Technology and Informatics, 247, 86–90.Google Scholar
  48. Oh, B., Cho, B., Han, M. K., Choi, H., Lee, M. N., Kang, H. C., Lee, C. H., Yun, H., & Kim, Y. (2015). The effectiveness of mobile phone-based care for weight control in metabolic syndrome patients: Randomized controlled trial. JIMR mHealth uHealth, 3, e83. Zugegriffen am 07.09.2017.
  49. Omboni, S., Caserini, M., & Coronetti, C. (2016). Telemedicine and m-Health in hypertension management: Technologies, applications and clinical evidence. High Blood Pressure and Cardiovascular Prevention, 23, 187–196.Google Scholar
  50. Partridge, S. R., McGeechan, K., Hebden, L., Balestracci, K., Wong, A. T., Denney-Wilson, E., Harris, M. F., Phongsavan, P., Bauman, A., & Allman-Farinelli, M. (2015). Effectiveness of a mHealth lifestyle program with telephone support (TXT2BFiT) to prevent unhealthy weight gain in young adults: Randomized controlled trial. Journal of Medical Internet Research mHealth uHealth, 3, e66. Zugegriffen am 23.04.2018.
  51. Piefke, M., & Markowitsch, H. J. (2008). Bewusstsein und Gedächtnis: Die Bedeutung der Kohärenz und Konsistenz von Erinnerungen. In D. Ganten, V. Gerhardt & J. Nida-Rümelin (Hrsg.), Zur Stellung des Menschen in der Natur (S. 135–160). Berlin: De Gruyter.Google Scholar
  52. Piefke, M., & Markowitsch, H. J. (2010). Grundlagen des Erinnerns. In C. Gudehus, A. Eichenberg & H. Welzer (Hrsg.), Gedächtnis und Erinnerung (S. 11–77). Stuttgart: J.B. Metzler.Google Scholar
  53. Rathbone, A. L., Clarry, L., & Prescott, J. (2017). Assessing the efficacy of mobile health apps using the basic principles of cognitive behavioral therapy: Systematic review. Journal of Medical Internet Research, 19, e399. Zugegriffen am 29.06.2018.
  54. Schurr, R., Nitzan, M., Eliahou, R., Spinelli, L., Seeck, M., Blanke, O., & Arzy, S. (2018). Temporal dissociation of neocortical and hippocampal contributions to mental time travel using intracranial recordings in humans. Frontiers in Computational Neuroscience, 12, Art. 11. Zugegriffen am 04.07.2018.
  55. Staniloiu, A., & Markowitsch, H. J. (2014). Dissociative amnesia. Lancet Psychiatry, 1, 226–241.Google Scholar
  56. Staniloiu, A., Markowitsch, H. J., & Kordon, A. (2018). Psychological causes of amnesia: A study of 28 cases. Neuropsychologia, 110, 134–147.Google Scholar
  57. Strout, T. D., Hillen, M., Gutheil, C., Anderson, E., Hutchinson, R., Ward, H., Kay, H., Mills, G. J., & Han, P. K. J. (2018). Tolerance of uncertainty: A systematic review of health and healthcare-related outcomes. Patient Education and Counseling, 101, 1518–1537.Google Scholar
  58. Sun, Y., Jiang, F., Gu, J. J., Wang, Y. K., Hua, H., Li, J., Cheng, Z., Liao, Z., Huang, Q., Hu, W., & Ding, G. (2017). Development and testing of an intelligent pain management system (IPMS) on mobile phones through a randomized trial among Chinese cancer patients: A new approach in cancer pain management. Journal of Medical Internet Research mHealth uHealth, 5, e108. Zugegriffen am 04.01.2018.
  59. Van Petten, C. (2004). Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: Review and meta-analysis. Neuropsychologia, 42, 1394–1413.Google Scholar
  60. Wagner-Egelhaaf, M. (2018). Handbook autobiography/autofiction (3 Bde.). Berlin: de GruyterGoogle Scholar
  61. Waki, K., Fujita, H., Uchimura, Y., Omae, K., Aramaki, E., Kato, S., Lee, H., Kobayashi, H., Kadowaki, T., & Ohe, K. (2014). DialBetics: A novel smartphone-based self-management support system for type 2 diabetes patients. Journal of Diabetes Science and Technology, 8, 209–215.Google Scholar
  62. Welzer, H., & Markowitsch, H. J. (2005). Towards a bio-psycho-social model of autobiographical memory. Memory, 13, 63–78.Google Scholar
  63. Zhao, X., Yang, B., & Wong, C. W. (2018). Analyzing trend for U.S. immigrants’ e-Health engagement from 2008 to 2013. Health Communication, 1–11. Zugegriffen am 03.08.2018.

Copyright information

© Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature 2019

Authors and Affiliations

  • Hans J. Markowitsch
    • 1
  • Margit M. Schreier
    • 2
  1. 1.Baden-BadenDeutschland
  2. 2.StuttgartDeutschland

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