Bayesian Approach to Psychotherapy Integration: Strategic Modification of Priors

被引:8
|
作者
Krupnik, Valery [1 ]
机构
[1] Naval Hosp Camp Pendleton, Camp Pendleton, CA 92055 USA
来源
FRONTIERS IN PSYCHOLOGY | 2019年 / 10卷
关键词
psychotherapy integration; nested hierarchy; bayesian brain; priors; free-energy; BRAIN;
D O I
10.3389/fpsyg.2019.00356
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Integrative psychotherapies have become the mainstay in mental health care. The most researched therapy, CBT, being integrative itself, continues to integrate such new elements as mindfulness, spirituality, and experiential techniques. There is no commonly accepted strategy for psychotherapy integration. New elements are sometimes added on a trial and error basis with a following post-hoc theoretical and empirical justification. Other times, they are incorporated based on an ad-hoc theoretical premise, and empirical studies follow to support or invalidate it. Nevertheless, four main integrative strategies have been identified as technical eclecticism, common factors integration, principle-based assimilative integration, and theoretical integration (Norcross, 2005). Strategies outside of these four have also been suggested. Recently, a principle of nested hierarchy has been proposed as a way of integrating different strategies into a general roadmap for building an integrative therapy (Krupnik, 2018). The nested hierarchy principle does not, however, offer a strategy for theoretical integration at the top of its hierarchy. In this report, I suggest using the Bayesian theory of psychopathology for such strategy. I propose to apply Bayesian framework to psychotherapy integration and discuss a possibility of using it as a universal strategy called Strategic Modification of Priors (SMOP). I illustrate SMOP's application with a synopsis of a clinical case.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Multigrid priors for a Bayesian approach to fMRI
    Amaral, SDR
    Rabbani, SR
    Caticha, N
    [J]. NEUROIMAGE, 2004, 23 (02) : 654 - 662
  • [2] A Bayesian approach for image segmentation with shape priors
    Chang, Hang
    Yang, Qing
    Parvin, Bahram
    [J]. 2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 687 - +
  • [3] Bayesian approach to inverse scattering with topological priors
    Carpio, Ana
    Iakunin, Sergei
    Stadler, Georg
    [J]. INVERSE PROBLEMS, 2020, 36 (10)
  • [4] Robust Bayesian cue integration: The role of priors in nonlinear cue integration and learning
    Knill, D.
    [J]. PERCEPTION, 2007, 36 : 121 - 122
  • [5] Multiple Priors Integration for Reliability Estimation Using the Bayesian Melding Method
    Li, Zhaojun
    Guo, Jian
    Xiao, Ning-Cong
    Huang, Wei
    [J]. 2017 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2017,
  • [6] Clinical Dilemmas in Psychotherapy: A Transtheoretical Approach to Psychotherapy Integration
    Martin, Alyce
    [J]. JOURNAL OF CONTEMPORARY PSYCHOTHERAPY, 2006, 36 (04) : 193 - 194
  • [7] A systems approach to strategic is integration
    Reynolds, KA
    Thethi, AJS
    Wainwright, CER
    [J]. SYSTEMS FOR SUSTAINABILITY: PEOPLE, ORGANIZATIONS, AND ENVIRONMENTS, 1997, : 607 - 611
  • [8] BEHAVIOR MODIFICATION APPROACH TO SUPERVISION OF PSYCHOTHERAPY
    LEVINE, FM
    TILKER, HA
    [J]. PSYCHOTHERAPY-THEORY RESEARCH AND PRACTICE, 1974, 11 (02): : 182 - 188
  • [9] Researching psychotherapy integration: A heuristic approach
    Nuttall, John
    [J]. COUNSELLING PSYCHOLOGY QUARTERLY, 2006, 19 (04) : 429 - 444
  • [10] A FAST VARIATIONAL APPROACH FOR BAYESIAN COMPRESSIVE SENSING WITH INFORMATIVE PRIORS
    Karseras, Evripidis
    Dai, Wei
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,