Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-26T05:31:23.407Z Has data issue: false hasContentIssue false

5 - Wrangling the Matrix: Lessons from the RDoC Working Memory Domain

from Section 2

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 describes the National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC) initiative, illustrating how elements from different “levels” or “units” of analysis are represented as domains, constructs, and subconstructs to form the RDoC “matrix.” The example of “working memory” is used to show that the matrix possesses conceptual elements drawn from diverse theories and experiments about working memory, but lacks a controlled vocabulary and specification of putative relations among the elements, that would serve as an organizing framework. An ontology (in the informatics sense) can be developed using existing tools to represent and analyze relations between most adjacent levels, with a notable exception: the link between cellular/network systems and observable behavior, which directly confronts the mind-body problem. Finally, the chapter considers how the field may best wrangle with the RDoC matrix using bottom-up and top-down strategies, while leveraging advantages and avoiding pitfalls of computational models and artificial intelligence.

Type
Chapter
Information
Levels of Analysis in Psychopathology
Cross-Disciplinary Perspectives
, pp. 59 - 77
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

Bilder, R. M., Howe, A. G., & Sabb, F. W. (2013) ‘Multilevel models from biology to psychology: Mission impossible?Journal of Abnormal Psychology, 122(3), 917927.Google Scholar
Bilder, R. M., Lenartowicz, A., Rissman, J., Loo, S., Pochon, J. B., Truong, H., … Sugar, C. (2018) RDoC working memory constructs spanning levels from disability to structural MRI. Paper presented at the American College of Neuropsychopharmacology, Hollywood, FL.Google Scholar
Bilder, R. M., & Reise, S. P. (2019) ‘Neuropsychological tests of the future: How do we get there from here?The Clinical Neuropsychologist, 33(2), 220245.Google Scholar
Bilder, R. M., Volavka, J., Lachman, H., & Grace, A. (2004) ‘The catechol-O-methyltransferase polymorphism: Relations to the tonic-phasic dopamine hypothesis and neuropsychiatric phenotypes.’ Neuropsychopharmacology, 29(11), 19431961.CrossRefGoogle Scholar
Borsboom, D. (2006) ‘The attack of the psychometricians.’ Psychometrika, 71(3), 425.CrossRefGoogle ScholarPubMed
Borsboom, D., & Cramer, A. O. (2013) ‘Network analysis: An integrative approach to the structure of psychopathology.’ Annual Review of Clinical Psychology, 9, 91121.CrossRefGoogle Scholar
Collins, A. G., & Frank, M. J. (2018) ‘Within-and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory.’ Proceedings of the National Academy of Sciences, 115(10), 25022507.CrossRefGoogle ScholarPubMed
Cronbach, L. J. (1951) ‘Coefficient alpha and the internal structure of tests.’ Psychometrika, 16(3), 297334.Google Scholar
Cronbach, L. J., & Meehl, P. E. (1955) ‘Construct validity in psychological tests.’ Psychological Bulletin, 52(4), 281302.Google Scholar
Decker, H. S. (2007) ‘How Kraepelinian was Kraepelin? How Kraepelinian are the neo-Kraepelinians? – From Emil Kraepelin to DSM-III.’ History of Psychiatry, 18(71 Pt 3), 337360.CrossRefGoogle Scholar
Durstewitz, D., Seamans, J. K., & Sejnowski, T. J. (2000a) ‘Dopamine-mediated stabilization of delay-period activity in a network model of prefrontal cortex.’ Journal of Neurophysiology, 83(3), 17331750.CrossRefGoogle Scholar
Durstewitz, D., Seamans, J. K., & Sejnowski, T. J. (2000b) ‘Neurocomputational models of working memory.’ Nature Neuroscience, 3(Suppl.), 11841191.CrossRefGoogle ScholarPubMed
Embretson, S. E., & Reise, S. P. (2002) Item response theory for psychologists. Mahwah, NJ: Erlbaum.Google Scholar
Flint, J., & Munafo, M. R. (2007) ‘The endophenotype concept in psychiatric genetics.’ Psychological Medicine, 37(2), 163180.Google Scholar
Freud, S. (1966) Project for a scientific psychology (1950 [1895]). London: Hogarth Press.Google Scholar
Friston, K. J., Li, B., Daunizeau, J., & Stephan, K. E. (2011) ‘Network discovery with DCM.’ NeuroImage, 56(3), 12021221.CrossRefGoogle ScholarPubMed
Geschwind, N., & Galaburda, A. M. (1985a) ‘Cerebral lateralization: Biological mechanisms, associations, and pathology: II. A hypothesis and a program for research.’ Archives of Neurology, 42, 521552.CrossRefGoogle Scholar
Geschwind, N., & Galaburda, A. M. (1985b) ‘Cerebral lateralization: Biological mechanisms, associations, and pathology: III. A hypothesis and program for research.’ Archives of Neurology, 42, 634654.Google Scholar
Geschwind, N., & Galaburda, A. M. (1985c) ‘Cerebral lateralization. Biological mechanisms, associations, and pathology: I. A hypothesis and a program for research.’ Archives of Neurology, 42, 428459.CrossRefGoogle Scholar
Geschwind, N., & Galaburda, A. M. (1987) Cerebral lateralization. Biological mechanisms, associations, and pathology. Cambridge, MA: MIT Press.Google Scholar
McManus, I. C., & Bryden, M. P. (1992) ‘Geschwind’s theory of cerebral laterization: Developing a formal causal model.’ Psychological Bulletin, 110, 237253.CrossRefGoogle Scholar
Nunnally, J. C., & Bernstein, I. (1994) Psychometric theory (McGraw-Hill Series in Psychology) (Vol. 3). New York: McGraw-Hill.Google Scholar
O’Reilly, R. C., Wyatte, D. R., & Rohrlich, J. J. (2017) Deep Predictive Learning: A Comprehensive Model of Three Visual Streams. Available at https://arxiv.org/abs/1709.04654.Google Scholar
Olesen, P. J., Macoveanu, J., Tegnér, J., & Klingberg, T. (2006) ‘Brain activity related to working memory and distraction in children and adults.’ Cerebral Cortex, 17(5), 10471054.Google Scholar
Pearl, J., & Mackenzie, D. (2018) The book of why: The new science of cause and effect. New York: Basic Books.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@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
×