<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hitchcock C</submitter><funding>Economic and Social Research Council</funding><funding>Medical Research Council</funding><pagination>e031110</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6575822</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9(6)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Cognitive behavioural therapies (CBTs) are one of the most effective treatments for major depression. However, ~50% of individuals do not adequately respond to intervention and of those who do remit from a depressive episode, over 50% will experience later relapse. Identification of patient-level factors which moderate treatment response may ultimately help to identify cognitive barriers that could be targeted to improve treatment efficacy. This individual patient data meta-analysis explores one such potential moderator-the ability to retrieve specific, detailed memories of the autobiographical past-as cognitive-based therapeutic techniques draw heavily on the ability to use specific autobiographical information to challenge the dysfunctional beliefs which drive depres</pubmed_abstract><journal>BMJ open</journal><pubmed_title>Role of autobiographical memory in patient response to cognitive behavioural therapies for depression: protocol of an individual patient data meta-analysis.</pubmed_title><pmcid>PMC6575822</pmcid><funding_grant_id>ES/R010781/1</funding_grant_id><funding_grant_id>MC_UU_00005/4</funding_grant_id><funding_grant_id>MC_U105579215</funding_grant_id><pubmed_authors>Dalgleish T</pubmed_authors><pubmed_authors>Kuhn I</pubmed_authors><pubmed_authors>Hitchcock C</pubmed_authors><pubmed_authors>Patel S</pubmed_authors><pubmed_authors>Smith A</pubmed_authors><pubmed_authors>Watkins E</pubmed_authors><pubmed_authors>Rudokaite J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Role of autobiographical memory in patient response to cognitive behavioural therapies for depression: protocol of an individual patient data meta-analysis.</name><description>&lt;h4>Introduction&lt;/h4>Cognitive behavioural therapies (CBTs) are one of the most effective treatments for major depression. However, ~50% of individuals do not adequately respond to intervention and of those who do remit from a depressive episode, over 50% will experience later relapse. Identification of patient-level factors which moderate treatment response may ultimately help to identify cognitive barriers that could be targeted to improve treatment efficacy. This individual patient data meta-analysis explores one such potential moderator-the ability to retrieve specific, detailed memories of the autobiographical past-as cognitive-based therapeutic techniques draw heavily on the ability to use specific autobiographical information to challenge the dysfunctional beliefs which drive depres</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Jun</publication><modification>2025-04-05T12:41:03.672Z</modification><creation>2019-07-24T07:20:03Z</creation></dates><accession>S-EPMC6575822</accession><cross_references><pubmed>31196907</pubmed><doi>10.1136/bmjopen-2019-031110</doi></cross_references></HashMap>