Academic Journal
Προβολή σε EDS

Understanding anxiety through uncertainty quantification.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Understanding anxiety through uncertainty quantification.
Συγγραφείς: Hedley FE; Department of Psychology, The University of Hong Kong, Hong Kong SAR, China., Larsen E; Department of Psychology, Stony Brook University, Stony Brook, New York, USA., Mohanty A; Department of Psychology, Stony Brook University, Stony Brook, New York, USA., Liu JZ; Google Research, Mountain View, California, USA.; Department of Biostatistics, Harvard University, Boston, Massachusetts, USA., Jin J; Department of Psychology, The University of Hong Kong, Hong Kong SAR, China.; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
Πηγή: British journal of psychology (London, England : 1953) [Br J Psychol] 2026 Aug; Vol. 117 (3), pp. 795-808. Date of Electronic Publication: 2024 Jan 12.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 0373124 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2044-8295 (Electronic) Linking ISSN: 00071269 NLM ISO Abbreviation: Br J Psychol Subsets: MEDLINE
Imprint Name(s): Publication: 2011- : West Sussex, England : Wiley-Blackwell
Original Publication: London ; New York : Cambridge University Press, [1953]-
Ιατρικοί όροι (MeSH): Anxiety*/psychology , Anxiety*/physiopathology, Humans ; Bayes Theorem ; Uncertainty
Περίληψη: Uncertainty has been a central concept in psychological theories of anxiety. However, this concept has been plagued by divergent connotations and operationalizations. The lack of consensus hinders the current search for cognitive and biological mechanisms of anxiety, jeopardizes theory creation and comparison, and restrains translation of basic research into improved diagnoses and interventions. Drawing upon uncertainty decomposition in Bayesian Decision Theory, we propose a well-defined conceptual structure of uncertainty in cognitive and clinical sciences, with a focus on anxiety. We discuss how this conceptual structure provides clarity and can be naturally applied to existing frameworks of psychopathology research. Furthermore, it allows formal quantification of various types of uncertainty that can benefit both research and clinical practice in the era of computational psychiatry.
(© 2024 The British Psychological Society.)
References: Behav Res Ther. 2002 Aug;40(8):931-45. (PMID: 12186356)
PLoS Comput Biol. 2021 Oct 7;17(10):e1009453. (PMID: 34618805)
Am Psychol. 2000 Nov;55(11):1247-63. (PMID: 11280938)
Clin Psychol Rev. 2018 Mar;60:87-99. (PMID: 29331446)
Decision (Wash D C ). 2024 Apr;11(2):255-282. (PMID: 40162322)
Affect Sci. 2022;3(2):425-437. (PMID: 35791419)
Neuroimage. 2020 Sep;218:116957. (PMID: 32442639)
J Exp Psychol Gen. 2016 Oct;145(10):1280-1297. (PMID: 27442037)
J Neurol Neurosurg Psychiatry. 2019 Dec;90(12):1353-1360. (PMID: 31256001)
Biol Psychiatry. 2012 Jul 15;72(2):113-8. (PMID: 22325982)
Nat Commun. 2021 Nov 15;12(1):6587. (PMID: 34782597)
Biol Psychiatry. 2017 Jun 15;81(12):1014-1022. (PMID: 28126210)
Annu Rev Clin Psychol. 2013;9:275-97. (PMID: 23537486)
Emotion. 2022 Aug;22(5):982-991. (PMID: 32881546)
R Soc Open Sci. 2019 May 8;6(5):181870. (PMID: 31218028)
Int J Psychophysiol. 2020 Oct;156:93-104. (PMID: 32763250)
Am Psychol. 2019 May-Jun;74(4):484-496. (PMID: 30221947)
Am J Psychiatry. 2010 Jul;167(7):748-51. (PMID: 20595427)
Elife. 2020 Dec 22;9:. (PMID: 33350387)
J Affect Disord. 2018 Jan 1;225:80-90. (PMID: 28802117)
Clin Psychol Rev. 2019 Nov;73:101778. (PMID: 31678816)
Affect Sci. 2022 Jun 3;3(3):528-538. (PMID: 35677191)
Psychophysiology. 2018 Jul;55(7):e13066. (PMID: 29384197)
Nat Rev Neurosci. 2010 Feb;11(2):127-38. (PMID: 20068583)
Psychol Assess. 2015 Jun;27(2):605-20. (PMID: 25602690)
Behav Res Ther. 1983;21(1):9-16. (PMID: 6830571)
Neurosci Biobehav Rev. 2023 May;148:105123. (PMID: 36914079)
Comput Psychiatr. 2022;6(1):8-33. (PMID: 35757373)
Pers Individ Dif. 2009;46(5-6):586-591. (PMID: 20046938)
J Neurosci. 2011 Mar 30;31(13):4811-20. (PMID: 21451019)
Behav Res Ther. 2007 Oct;45(10):2307-16. (PMID: 17537402)
J Anxiety Disord. 2007;21(1):105-17. (PMID: 16647833)
Nat Neurosci. 2016 Mar;19(3):404-13. (PMID: 26906507)
Nat Neurosci. 2008 Apr;11(4):398-403. (PMID: 18368046)
Neurosci Biobehav Rev. 2019 Jan;96:241-249. (PMID: 30550858)
J Psychopathol Clin Sci. 2022 Apr;131(3):265-277. (PMID: 35357845)
Cereb Cortex. 2013 Jan;23(1):49-60. (PMID: 22250290)
J Neurosci. 2020 Oct 7;40(41):7949-7964. (PMID: 32958570)
World Psychiatry. 2018 Jun;17(2):123-132. (PMID: 29856567)
Pers Soc Psychol Rev. 2016 Aug;20(3):223-44. (PMID: 26048875)
Nat Hum Behav. 2019 Oct;3(10):1116-1123. (PMID: 31209369)
Nat Rev Neurosci. 2013 Jul;14(7):488-501. (PMID: 23783199)
Emotion. 2009 Feb;9(1):123-7. (PMID: 19186925)
Biol Psychiatry. 2017 Sep 15;82(6):382-384. (PMID: 28838466)
J Comp Neurol. 2020 Jun;528(8):1265-1292. (PMID: 31674015)
Annu Rev Clin Psychol. 2020 May 7;16:49-74. (PMID: 32070120)
Nat Commun. 2024 Oct 21;15(1):9073. (PMID: 39433765)
Expert Rev Neurother. 2012 Aug;12(8):937-47. (PMID: 23002938)
Clin Psychol Rev. 2017 Jun;54:107-122. (PMID: 28448826)
Nat Protoc. 2012 Feb 23;7(3):527-32. (PMID: 22362158)
J Anxiety Disord. 2021 Jan;77:102332. (PMID: 33160276)
Front Psychol. 2012 Mar 08;3:54. (PMID: 22408629)
J Anxiety Disord. 2016 Apr;39:30-43. (PMID: 26945765)
Trends Cogn Sci. 2019 Oct;23(10):865-875. (PMID: 31431340)
Contributed Indexing: Keywords: Bayesian theory; anxiety; intolerance of uncertainty; research domain criteria; uncertainty quantification
Entry Date(s): Date Created: 20240112 Date Completed: 20260710 Latest Revision: 20260813
Update Code: 20260813
PubMed Central ID: PMC13353260
DOI: 10.1111/bjop.12693
PMID: 38217080
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2044-8295
DOI:10.1111/bjop.12693