Skip to main content Accessibility help
×
Home
Hostname: page-component-56f9d74cfd-fv4mn Total loading time: 1.495 Render date: 2022-06-27T16:17:04.761Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "useRatesEcommerce": false, "useNewApi": true }

Book contents

1a - A Clinically Relevant Neuroscience for Personality Disorders: Commentary on Neuroimaging in Personality Disorders

from Part I - Etiology

Published online by Cambridge University Press:  24 February 2020

Carl W. Lejuez
Affiliation:
University of Kansas
Kim L. Gratz
Affiliation:
University of Toledo, Ohio
Get access

Summary

The most salient goals of neuroscience research on personality disorders (PDs) are to help determine the mechanisms of specific disorders and reduce the incidence and severity of personality disorders. However, authors often do not discuss neuroscience research in a context that highlights its clinical relevance. Frequently, converging evidence from clinical neuroscience could help us better characterize the mechanisms specific to personality disorders, which could be used to inform diagnosis and interventions. More pervasive efforts to describe clinical neuroscience research in terms of its clinical relevance could help better define progress made in understanding disorders, identify gaps in the research needed to be filled before the knowledge is clinically useful, and could potentially be useful to inform current clinical practice. This commentary outlines examples from Chan, Vaccaro, Rose, Kessler, and Hazlett’s review (this volume) in which the neuroscience research could be read in ways that emphasize its clinical relevance. In addition, it briefly highlights advances in neuroscience methods, as well as efforts to improve nosological systems that may help researchers in describing the clinical implications of neuroscience research.

Type
Chapter
Information
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

Bender, D. S., Morey, L. C., & Skodol, A. E. (2011). Toward a model for assessing level of personality functioning in DSM-5, part I: A review of theory and methods. Journal of Personality Assessment, 93(4), 332346.CrossRefGoogle Scholar
Bressler, S. L., & Menon, V. (2010). Large-scale brain networks in cognition: Emerging methods and principles. Trends in Cognitive Sciences, 14(6), 277290.CrossRefGoogle ScholarPubMed
Bullmore, E., Bullmore, E., Sporns, O., & Sporns, O. (2009). Complex brain networks: Graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186198.CrossRefGoogle ScholarPubMed
Calhoun, V. D., Maciejewski, P. K., Pearlson, G. D., & Kiehl, K. A. (2008). Temporal lobe and “default” hemodynamic brain modes discriminate between schizophrenia and bipolar disorder. Human Brain Mapping, 29(11), 12651275.CrossRefGoogle ScholarPubMed
Gates, K. M., Molenaar, P. C. M., Hillary, F. G., & Slobounov, S. (2011). Extended unified SEM approach for modeling event-related fMRI data. NeuroImage, 54(2), 11511158.CrossRefGoogle ScholarPubMed
Holtmaat, A., & Svoboda, K. (2009). Experience-dependent structural synaptic plasticity in the mammalian brain. Nature Reviews Neuroscience, 10(9), 647658.CrossRefGoogle ScholarPubMed
Hopwood, C. J., Malone, J. C., Ansell, E. B., Sanislow, C. A., Grilo, C. M., McGlashan, T. H., … Morey, L. C. (2011). Personality assessment in DSM-5: Empirical support for rating severity, style, and traits. Journal of Personality Disorders, 25(3), 305320.CrossRefGoogle ScholarPubMed
Houston, I., Peter, C. J., Mitchell, A., Straubhaar, J., Rogaev, E., & Akbarian, S. (2013). Epigenetics in the human brain. Neuropsychopharmacology, 38(1), 183197.CrossRefGoogle ScholarPubMed
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., … Wang, P. (2010). Research Domain Criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167(7), 748751.CrossRefGoogle Scholar
Kanske, P., & Kotz, S. A. (2011). Conflict processing is modulated by positive emotion: ERP data from a flanker task. Behavioural Brain Research, 219(2), 382386.CrossRefGoogle ScholarPubMed
Kobel, M., Bechtel, N., Specht, K., Klarhöfer, M., Weber, P., Scheffler, K., … Penner, I. K. (2010). Structural and functional imaging approaches in attention deficit/hyperactivity disorder: Does the temporal lobe play a key role? Psychiatry Research: Neuroimaging, 183(3), 230236.CrossRefGoogle ScholarPubMed
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., … Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126(4), 454477.CrossRefGoogle ScholarPubMed
Lombardo, M. V., Chakrabarti, B., Bullmore, E. T., Sadek, S. A., Pasco, G., Wheelwright, S. J., … Baron-Cohen, S. (2010). Atypical neural self-representation in autism. Brain, 133, 611624.CrossRefGoogle ScholarPubMed
Menon, V. (2015). Salience network. In Toga, A. (ed.), Brain Mapping: An Encyclopedic Reference (Vol. 2, pp. 597611). New York: Academic Press.CrossRefGoogle Scholar
Rosell, D. R., Futterman, S. E., McMaster, A., & Siever, L. J. (2014). Schizotypal personality disorder: A current review. Current Psychiatry Reports, 16: 452.CrossRefGoogle ScholarPubMed
Silbersweig, D., Clarkin, J. F., Goldstein, M., Kernberg, O. F., Tuescher, O., Levy, K. N., … Stern, E. (2007). Failure of frontolimbic inhibitory function in the context of negative emotion in borderline personality disorder. American Journal of Psychiatry, 164(12), 18321841.CrossRefGoogle ScholarPubMed
Sporns, O. (2012). From simple graphs to the connectome: networks in neuroimaging. NeuroImage, 62(2), 881886.CrossRefGoogle ScholarPubMed
Uttal, W. R. (2002). Précis of the new phrenology: The limits of localizing cognitive processes in the brain. Brain and Mind, 3(2), 221228.CrossRefGoogle Scholar
Wang, J., Zuo, X., & He, Y. (2010). Graph-based network analysis of resting-state functional MRI. Frontiers in Systems Neuroscience, 4, 16.Google ScholarPubMed

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
×