Anxiety, Depression, and Neural Correlates of Psychotherapy
(1 CE Hour)
INSTRUCTIONS: Please review the course text and preview the course post-test linked below prior to enrolling in the course. It is recommended to print a copy of the course post-test preview and mark your answers as your read through the text. When you are ready to complete the course, click the “take this course” button and complete the course post-test. You will able to print or save your certificate after completing the post-test.
Course Description: The extension of neural imagining into psychotherapy research from the medical field has allowed the identification of changes in brain networks. These changes have been able to identify the changes in emotional regulation after therapy. Numerous studies have examined various models of therapy examining the neural influences for depression and anxiety-based disorders. This brief advanced course examines the neural changes for depression and anxiety disorders as an outcome of various models of psychotherapy.
Course Author: Bryan Glazier, PhD, LMFT, LMHC
Course Text: Messina, I., Sambin, M., Palmieri, A., & Viviani, R. (2013). Neural Correlates of Psychotherapy in Anxiety and Depression: A Meta-Analysis. PLoS ONE, 8(9), e74657. doi:10.1371/journal.pone.0074657
Course Objectives: Through the completion of this course, learners will be able to:
- Describe the use of neural imaging in psychotherapy research.
- Examine the neural influences of various models of psychotherapy.
- Review outcomes of neural imaging for depression and anxiety disorders based on psychotherapy treatment models.
- Propose the increased complexities of neural activation post-psychotherapy for depression and anxiety.
This course was developed from the document This course was developed from the document: Messina, I., Sambin, M., Palmieri, A., & Viviani, R. (2013). Neural Correlates of Psychotherapy in Anxiety and Depression: A Meta-Analysis. PLoS ONE, 8(9), e74657. doi:10.1371/journal.pone.0074657 used under the Creative Commons Attribution License (http://goo.gl/9lws9e).