Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-22T19:07:04.916Z Has data issue: false hasContentIssue false
  • English
  • Français

Toward a translational neuropsychiatry of resilience

Published online by Cambridge University Press:  02 September 2015

David Silbersweig
David Silbersweig*
Affiliation:
Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115. [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Neuropsychiatry integrates neuroscience and clinical pathophysiology of the human brain-mind interface. Kalisch et al. provide an important advance with a clear, quantitative, unified neuropsychiatric model of resilience, a crucial adaptive response to adversity. They highlight positive appraisal style, describing underlying neural circuitry and mechanisms. This provides a foundation for the development of biomarkers and targeted therapeutics across the range of neuropsychiatric disorders.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 38 , 2015 , e120
Copyright
Copyright © Cambridge University Press 2015 

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

Bernard, C. (1878/1974) Lectures on the phenomena common to animals and plants, trans. Hoff, H. E., Guillemin, R. & Guillemin L., L. American Lecture Series, Publication No. 900. Charles C. Thomas Publishers. (Original work published in the 19th century).Google Scholar
Cuthbert, B. N. (2014b) Translating intermediate phenotypes to psychopathology: The NIMH Research Domain Criteria. Psychophysiology 51(12):1205–206.CrossRefGoogle ScholarPubMed
Cutuli, D. (2014) Cognitive reappraisal and expressive suppression strategies role in emotion regulation: An overview on their modulatory effects and neural correlates. Frontiers in Systems Neuroscience 8:175. doi: 10.3389/fnsys.2014.00175.Google Scholar
Desplats, P. A. (2015) Perinatal programming of neurodevelopment: Epigenetic mechanisms and the prenatal shaping of the brain. In: Advances in Neurobiology. Vol. 10: Perinatal Programming of Neurodevelopment, ed. Antonelli, M., pp. 335–61.Google Scholar
Epstein, J., Pan, H., Kocsis, J. H., Yang, Y., Butler, T., Chusid, J., Hochberg, H., Murrough, J., Strohmayer, E., Stern, E., Silbersweig, D. A. (2006) Lack of ventral striatal response to positive stimuli in depressed versus normal subjects. American Journal of Psychiatry 163(10):1784–90. doi: 10.1176/ajp.2006.163.10.1784.Google Scholar
Johansen, J. P., Cain, C. K., Ostroff, L. E., LeDoux, J. E. (2011) Molecular mechanisms of fear learning and memory. Cell 147:509–24.Google Scholar
McEwen, B. S. (2013) The brain on stress: Toward an integrative approach to brain, body, and behavior. Perspectives on Psychological Science 8(6):673–75. doi: 10.1177/1745691613506907.Google Scholar
Mesulam, M.-M. (2000) Principles of behavioral and cognitive neurology, second edition. Oxford University Press.CrossRefGoogle Scholar
Rolls, E. T. & Grabenhorst, F. (2008) The orbitofrontal cortex and beyond: From affect to decision-making. Progress in Neurobiology 86(3):216–44. doi: 10.1016/j.pneurobio.2008.09.001.CrossRefGoogle ScholarPubMed
Silbersweig, D. A. (2013) Default mode subnetworks, connectivity, depression and its treatment. Biological Psychiatry 74:5–6.CrossRefGoogle ScholarPubMed
Smits, J. A., Julian, K., Rosenfield, D., Powers, M. B. (2012) Threat reappraisal as a mediator of symptom change in cognitive-behavioral treatment of anxiety disorders: A systematic review. Journal of Consulting and Clinical Psychology 80:624–35.Google Scholar
Wu, G., Feder, A., Cohen, H., Kim, J. J., Calderon, S., Charney, D. S. & Mathe, A. A. (2013) Understanding resilience. Frontiers in Behavioral Neuroscience 7, article 10. doi: 10.3389/fnbeh.2013.00010.Google Scholar