Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-x5gtn Total loading time: 0 Render date: 2024-06-06T16:26:13.065Z Has data issue: false hasContentIssue false

2 - Rethinking Psychiatric Disorders in Terms of Heterarchical Networks of Control Mechanisms

from Section 1

Published online by Cambridge University Press:  02 April 2020

Kenneth S. Kendler
Affiliation:
Virginia Commonwealth University
Josef Parnas
Affiliation:
University of Copenhagen
Peter Zachar
Affiliation:
Auburn University, Montgomery
Get access

Summary

This chapter offers a framework for understanding mechanistic explanations of psychiatric disorders in terms of altered activities in a heterarchical network of control mechanisms. This differs both from approaches that seek to characterize the mechanism responsible for producing the disease state and those that attribute the disease state to broken mechanisms. Control mechanisms operate on soft constraints in other mechanisms and thereby alter their operation. Although often viewed as hierarchical, the brain is organized as a heterarchical network, with many control mechanisms operating on the same controlled mechanisms and no chief executive. This poses challenges for attempts to understand the ramifications of altered functioning of components of the network. Using a recent example of research showing the effects of modifying the activity of proteins within the circadian clock on depression-like behavior in mice, this chapter illustrates how progress might be made as well as the challenges faced in explaining psychiatric disorders.

Type
Chapter
Information
Levels of Analysis in Psychopathology
Cross-Disciplinary Perspectives
, pp. 24 - 46
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Albert, P. R., & Benkelfat, C. (2013) “The neurobiology of depression: Revisiting the serotonin hypothesis. II. Genetic, epigenetic and clinical studies.” Philosophical Transactions of the Royal Society B: Biological Sciences, 368(1615), 20120535.CrossRefGoogle ScholarPubMed
Albert, P. R., Benkelfat, C., & Descarries, L. (2012) “The neurobiology of depression – Revisiting the serotonin hypothesis. I. Cellular and molecular mechanisms.” Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1601), 2378.Google Scholar
Albrecht, U. (2017) “Molecular mechanisms in mood regulation involving the circadian clock.” Frontiers in Neurology, 8, 30.Google Scholar
Bechtel, W. (2008) Mental mechanisms. Philosophical perspectives on cognitive neuroscience. London: Routledge.Google Scholar
Bechtel, W. (2015) “Circadian rhythms and mood disorders: Are the phenomena and mechanisms causally related?” Frontiers in Psychiatry, 6, 118.Google Scholar
Bechtel, W. (2018) “The importance of constraints and control in biological mechanisms: Insights from cancer research.” Philosophy of Science, 85(4), 573593.Google Scholar
Bechtel, W. (in press) “Living machines: The extent and limits of the machine metaphor.” In Holm, S. & Serban, M. (Eds.), Philosophical perspectives on the engineering approach in biology: Living machines? New York: Routledge.Google Scholar
Bechtel, W., & Abrahamsen, A. (2005) “Explanation: A mechanist alternative.” Studies in History and Philosophy of Biological and Biomedical Sciences, 36(2), 421441.Google Scholar
Bechtel, W., & Richardson, R. C. (1993/2010) Discovering complexity: Decomposition and localization as strategies in scientific research. Cambridge, MA: MIT Press. 1993 edition published by Princeton University Press.Google Scholar
Boivin, D. B., Czeisler, C. A., Dijk, D. J., Duffy, J. F., Folkard, S., Minors, D. S., … Waterhouse, J. M. (1997) “Complex interaction of the sleep–wake cycle and circadian phase modulates mood in healthy subjects.” Archives of General Psychiatry, 54(2), 145152.Google Scholar
Buchwald, J. S., & Brown, K. A. (1973) “Subcortical mechanisms of behavioral plasticity.” In Maser, J. D. (Ed.), Efferent organization and the integration of behavior (pp. xii, 368 pp.). New York: Academic Press.Google Scholar
Chao, M. Y., Komatsu, H., Fukuto, H. S., Dionne, H. M., & Hart, A. C. (2004) “Feeding status and serotonin rapidly and reversibly modulate a Caenorhabditis elegans chemosensory circuit.” Proceedings of the National Academy of Sciences of the United States of America, 101(43), 15512.Google Scholar
Chen, L., Eaton, W. W., Gallo, J. J., & Nestadt, G. (2000) “Understanding the heterogeneity of depression through the triad of symptoms, course and risk factors: A longitudinal, population-based study.” Journal of Affective Disorders, 59(1), 111.Google Scholar
Cowen, P. J., & Browning, M. (2015) “What has serotonin to do with depression?” World Psychiatry, 14(2), 158160.Google Scholar
Craver, C. F. (2007) Explaining the brain: Mechanisms and the mosaic unity of neuroscience. New York: Oxford University Press.Google Scholar
Craver, C. F., & Darden, L. (2013) In search of mechanisms: Discoveries across the life sciences. Chicago: University of Chicago Press.Google Scholar
Culverhouse, R. C., Saccone, N. L., Horton, A. C., Ma, Y., Anstey, K. J., Banaschewski, T., … Bierut, L. J. (2018) “Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression.” Molecular Psychiatry, 23(1), 133142.Google Scholar
Dahlstroem, A., & Fuxe, K. (1964) “Evidence for the existence of monoamine-containing neurons in the central nervous system. I. Demonstration of monoamines in the cell bodies of brain stem neurons.” Acta Physiologica Scandinavica. Supplementum, 232, 231255.Google Scholar
Erdös, P., & Rényi, A. (1960) “On the evolution of random graphs.” Proceedings of the Mathematical Institute of the Hungarian Academy of Sciences, 5, 1761.Google Scholar
Ermentrout, G. B., & Kopell, N. (1984) “Frequency plateaus in a chain of weakly coupled oscillators. 1.” Siam Journal on Mathematical Analysis, 15(2), 215237.Google Scholar
Fried, E. I. (2017) “The 52 symptoms of major depression: Lack of content overlap among seven common depression scales.” Journal of Affective Disorders, 208, 191197.Google Scholar
Gaspar, P., & Lillesaar, C. (2012) “Probing the diversity of serotonin neurons.” Philosophical Transactions: Biological Sciences, 367(1601), 23822394.Google Scholar
Goldberg, D. (2011) “The heterogeneity of ‘major depression.’” World Psychiatry, 10(3), 226228.CrossRefGoogle ScholarPubMed
Hale, M. W., & Lowry, C. A. (2011) “Functional topography of midbrain and pontine serotonergic systems: Implications for synaptic regulation of serotonergic circuits.” Psychopharmacology (Berlin), 213(2–3), 243264.Google Scholar
Hampp, G., Ripperger, J. A., Houben, T., Schmutz, I., Blex, C., Perreau-Lenz, S., … Albrecht, U. (2008) “Regulation of monoamine oxidase A by circadian-clock components implies clock influence on mood.” Current Biology, 18(9), 678683.Google Scholar
Hardin, P. E., Hall, J. C., & Rosbash, M. (1990) “Feedback of the Drosophila period gene product on circadian cycling of its messenger RNA levels.” Nature, 343(6258), 536540.Google Scholar
Hensler, J. G. (2010) “Serotonin in mood and emotion.” In Christian, P. M. & Barry, L. J. (Eds.), Handbook of behavioral neuroscience (Vol. 21, pp. 367378). London: Elsevier.Google Scholar
Hinton, J. M. (1963) “Patterns of insomnia in depressive states.” Journal of Neurological and Neurosurgical Psychiatry, 26, 184189.Google Scholar
Hooker, C. A. (2013) “On the import of constraints in complex dynamical systems.” Foundations of Science, 18(4), 757780.CrossRefGoogle Scholar
Jackson, J. H. (1868–1869/1931) “Notes on the physiology and pathology of the nervous system.” In Taylor, J. (Ed.), Selected writings of John Hughlings Jackson (Vol. II, pp. 215237). New York: Basic Books.Google Scholar
Keijzer, F., van Duijn, M., & Lyon, P. (2013) “What nervous systems do: Early evolution, input–output, and the skin brain thesis.” Adaptive Behavior, 21(2), 6785.Google Scholar
Konopka, R. J., & Benzer, S. (1971) “Clock mutants of Drosophila melanogaster.” Proceedings of the National Academy of Sciences of the United States of America, 89(9), 21122116.Google Scholar
Kripke, D. F., Mullaney, D. J., Atkinson, M., & Wolf, S. (1978) “Circadian rhythm disorders in manic-depressives.” Biological Psychiatry, 13(3), 335351.Google Scholar
Kristan, W. B., & Nusbaum, M. P. (1982) “The dual role of serotonin in leech swimming.” Journal of Physiology (Paris), 78(8), 743747.Google Scholar
Lacasse, J. R., & Leo, J. (2005) “Serotonin and depression: A disconnect between the advertisements and the scientific literature.” PLoS Medicine, 2(12), 12111216.Google Scholar
Landgraf, D., Long, J. E., Proulx, C. D., Barandas, R., Malinow, R., & Welsh, D. K. (2016) “Genetic disruption of circadian rhythms in the Suprachiasmatic Nucleus causes helplessness, behavioral despair, and anxiety-like behavior in mice.” Biological Psychiatry. 80(11), 827835.Google Scholar
Landgraf, D., McCarthy, M. J., & Welsh, D. K. (2014) “The role of the circadian clock in animal models of mood disorders.” Behavioral Neuroscience, 128(3), 344359.CrossRefGoogle ScholarPubMed
Lapin, I. P., & Oxenkrug, G. F. (1969) ‘Intensification of the central serotoninergic processes as a possible determinatnt of the thymoleptic effect.’ The Lancet, 293(7586), 132136.Google Scholar
Lazzerini Ospri, L., Prusky, G., & Hattar, S. (2017) ‘Mood, the circadian system, and melanopsin retinal ganglion cells.’ Annual Review of Neuroscience, 40, 539556.Google Scholar
Lesch, K.-P., & Waider, J. (2012) ‘Serotonin in the modulation of neural plasticity and networks: Implications for neurodevelopmental disorders.’ Neuron, 76(1), 175191.Google Scholar
Lewy, A. J., Kern, H. A., Rosenthal, N. E., & Wehr, T. A. (1982) ‘Bright artificial light treatment of a manic-depressive patient with a seasonal mood cycle.’ American Journal of Psychiatry, 139(11), 14961498.Google Scholar
Lewy, A. J., Sack, R. L., Singer, C. M., & White, D. M. (1987) ‘The phase shift hypothesis for bright light’s therapeutic mechanism of action: Theoretical considerations and experimental evidence.’ Psychopharmacology Bulletin, 23(3), 349353.Google Scholar
Li, J. Z., Bunney, B. G., Meng, F., Hagenauer, M. H., Walsh, D. M., Vawter, M. P., … Bunney, W. E. (2013) ‘Circadian patterns of gene expression in the human brain and disruption in major depressive disorder.’ Proceedings of the National Academy of Sciences of the United States of America, 110(24), 99509955.Google Scholar
Logan, R. W., Edgar, N., Gillman, A. G., Hoffman, D., Zhu, X., & McClung, C. A. (2015) ‘Chronic stress induces brain region-specific alterations of molecular rhythms that correlate with depression-like behavior in mice.’ Biological Psychiatry, 78(4), 249258.Google Scholar
Lux, V., & Kendler, K. S. (2010) ‘Deconstructing major depression: A validation study of the DSM-IV symptomatic criteria.’ Psychological Medicine, 40(10), 16791690.Google Scholar
Machamer, P., Darden, L., & Craver, C. F. (2000) ‘Thinking about mechanisms.’ Philosophy of Science, 67(1), 125.CrossRefGoogle Scholar
Marr, D. C. (1982) Vision: A computation investigation into the human representational system and processing of visual information. San Francisco: Freeman.Google Scholar
Martin, K. C., Casadio, A., Zhu, H., E, Y., Rose, J. C., Chen, M., … Kandel, E. R. (1997) ‘Synapse-specific, long-term facilitation of Aplysia sensory to motor synapses: A function for local protein synthesis in memory storage.’ Cell, 91(7), 927938.Google Scholar
McClung, C. A. (2007) ‘Circadian genes, rhythms and the biology of mood disorders.’ Pharmacology & Therapeutics, 114(2), 222232.Google Scholar
Moreno, A., & Mossio, M. (2014) Biological autonomy: A philosophical and theoretical inquiry. Dordrecht: Springer.Google Scholar
Parkinson, J. S., Hazelbauer, G. L., & Falke, J. J. (2015) ‘Signaling and sensory adaptation in Escherichia coli chemoreceptors: 2015 update.’ Trends in Microbiology, 23(5), 257266.Google Scholar
Pattee, H. H. (1972/2012) ‘Laws and constraints, symbols and languages.’ In Laws, language and life (Vol. 7, pp. 8189). Netherlands: Springer.Google Scholar
Pattee, H. H. (1973/2012) ‘The physical basis and origin of hierarchical control.’ In Laws, language and life (Vol. 7, pp. 91110). Netherlands: Springer.Google Scholar
Ralph, M. R., Foster, R. G., Davis, F. C., & Menaker, M. (1990) ‘Transplanted suprachiasmatic nucleus determines circadian period.’ Science, 247(4945), 975978.Google Scholar
Rosen, R. (1991) Life itself: A comprehensive inquiry into the nature, origin, and fabrication of life. Columbia: New York.Google Scholar
Rosenthal, N. E., Sack, D. A., Gillin, J. C., Lewy, A. J., Goodwin, F. K., Davenport, Y., … Wehr, T. A. (1984) ‘Seasonal affective disorder. A description of the syndrome and preliminary findings with light therapy.’ Archive of General Psychiatry, 41(1), 7280.Google Scholar
Souetre, E., Salvati, E., Belugou, J. L., Pringuey, D., Candito, M., Krebs, B., … Darcourt, G. (1989) ‘Circadian rhythms in depression and recovery: Evidence for blunted amplitude as the main chronobiological abnormality.’ Psychiatry Research, 28(3), 263278.Google Scholar
Sporns, O. (2010) Networks of the brain. Cambridge, MA: MIT Press.Google Scholar
Sporns, O. (2012) Discovering the human connectome. Cambridge, MA: MIT Press.Google Scholar
Traffanstedt, M. K., Mehta, S., & LoBello, S. G. (2016) ‘Major depression with seasonal variation: Is it a valid construct?Clinical Psychological Science, 4(5), 825834.Google Scholar
Vadnie, C. A., & McClung, C. A. (2017) ‘Circadian rhythm disturbances in mood disorders: Insights into the role of the suprachiasmatic nucleus.’ Neural Plasticity, 2017, 1504507.Google Scholar
Watts, D., & Strogratz, S. (1998) ‘Collective dynamics of small worlds.’ Nature, 393, 440442.Google Scholar
Welsh, D. K., Takahashi, J. S., & Kay, S. A. (2010) ‘Suprachiasmatic nucleus: Cell autonomy and network properties.’ Annual Review of Physiology, 72(1), 551577.Google Scholar
Winning, J., & Bechtel, W. (2018) ‘Rethinking causality in neural mechanisms: Constraints and control.’ Minds and Machines, 28(2), 287310.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×