Sara N Rushia, Sophie Schiff, Dakota A Egglefield, Jeffrey N Motter, Alice Grinberg, Daniel G Saldana, Al Amira Safa Shehab, Jin Fan, Joel R Sneed
{"title":"测试电脑认知训练对年轻抑郁症患者的作用机制:一项盲法、随机对照治疗试验方案。","authors":"Sara N Rushia, Sophie Schiff, Dakota A Egglefield, Jeffrey N Motter, Alice Grinberg, Daniel G Saldana, Al Amira Safa Shehab, Jin Fan, Joel R Sneed","doi":"10.20900/jpbs.20200014","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Depression is associated with a broad range of cognitive deficits, including processing speed (PS) and executive functioning (EF). Cognitive symptoms commonly persist with the resolution of affective symptoms and increase risk of relapse and recurrence. The cognitive control network is comprised of brain areas implicated in EF and mood regulatory functions. Prior research has demonstrated the effectiveness of computerized cognitive training (CCT) focused on PS and EF in mitigating both cognitive and affective symptoms of depression.</p><p><strong>Methods: </strong>Ninety participants aged 18-29 with a current diagnosis of major depressive disorder or persistent depressive disorder, or a Hamilton Depression Rating Scale score ≥12, will be randomized to either PS/EF CCT, verbal CCT, or waitlist control. Participants in the active groups will complete 15 min of training 5 days/week for 8 weeks. Clinical and neuropsychological assessments will be completed at baseline, week 4, week 8, and 3-month follow-up. Structural and functional magnetic resonance imaging (fMRI) will be completed at baseline and week 8. We will compare changes in mood, cognition, daily functioning, and fMRI data. We will explore cognitive control network functioning using resting-state and task-based fMRI.</p><p><strong>Results: </strong>Recruitment began in October 2019; we expect to finish recruitment by April 2022 and subsequently begin data analysis.</p><p><strong>Conclusions: </strong>This study is innovative in that it will include both active and waitlist control conditions and will explore changes in neural activation. Identifying the neural networks associated with improvements following CCT will allow for the development of more precise and effective interventions.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT03869463; https://clinicaltrials.gov/ct2/show/NCT03869463.</p>","PeriodicalId":73912,"journal":{"name":"Journal of psychiatry and brain science","volume":"5 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394311/pdf/","citationCount":"2","resultStr":"{\"title\":\"Testing the Mechanism of Action of Computerized Cognitive Training in Young Adults with Depression: Protocol for a Blinded, Randomized, Controlled Treatment Trial.\",\"authors\":\"Sara N Rushia, Sophie Schiff, Dakota A Egglefield, Jeffrey N Motter, Alice Grinberg, Daniel G Saldana, Al Amira Safa Shehab, Jin Fan, Joel R Sneed\",\"doi\":\"10.20900/jpbs.20200014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Depression is associated with a broad range of cognitive deficits, including processing speed (PS) and executive functioning (EF). Cognitive symptoms commonly persist with the resolution of affective symptoms and increase risk of relapse and recurrence. The cognitive control network is comprised of brain areas implicated in EF and mood regulatory functions. Prior research has demonstrated the effectiveness of computerized cognitive training (CCT) focused on PS and EF in mitigating both cognitive and affective symptoms of depression.</p><p><strong>Methods: </strong>Ninety participants aged 18-29 with a current diagnosis of major depressive disorder or persistent depressive disorder, or a Hamilton Depression Rating Scale score ≥12, will be randomized to either PS/EF CCT, verbal CCT, or waitlist control. Participants in the active groups will complete 15 min of training 5 days/week for 8 weeks. Clinical and neuropsychological assessments will be completed at baseline, week 4, week 8, and 3-month follow-up. Structural and functional magnetic resonance imaging (fMRI) will be completed at baseline and week 8. We will compare changes in mood, cognition, daily functioning, and fMRI data. We will explore cognitive control network functioning using resting-state and task-based fMRI.</p><p><strong>Results: </strong>Recruitment began in October 2019; we expect to finish recruitment by April 2022 and subsequently begin data analysis.</p><p><strong>Conclusions: </strong>This study is innovative in that it will include both active and waitlist control conditions and will explore changes in neural activation. Identifying the neural networks associated with improvements following CCT will allow for the development of more precise and effective interventions.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov NCT03869463; https://clinicaltrials.gov/ct2/show/NCT03869463.</p>\",\"PeriodicalId\":73912,\"journal\":{\"name\":\"Journal of psychiatry and brain science\",\"volume\":\"5 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394311/pdf/\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of psychiatry and brain science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20900/jpbs.20200014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/6/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of psychiatry and brain science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20900/jpbs.20200014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/6/19 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Testing the Mechanism of Action of Computerized Cognitive Training in Young Adults with Depression: Protocol for a Blinded, Randomized, Controlled Treatment Trial.
Background: Depression is associated with a broad range of cognitive deficits, including processing speed (PS) and executive functioning (EF). Cognitive symptoms commonly persist with the resolution of affective symptoms and increase risk of relapse and recurrence. The cognitive control network is comprised of brain areas implicated in EF and mood regulatory functions. Prior research has demonstrated the effectiveness of computerized cognitive training (CCT) focused on PS and EF in mitigating both cognitive and affective symptoms of depression.
Methods: Ninety participants aged 18-29 with a current diagnosis of major depressive disorder or persistent depressive disorder, or a Hamilton Depression Rating Scale score ≥12, will be randomized to either PS/EF CCT, verbal CCT, or waitlist control. Participants in the active groups will complete 15 min of training 5 days/week for 8 weeks. Clinical and neuropsychological assessments will be completed at baseline, week 4, week 8, and 3-month follow-up. Structural and functional magnetic resonance imaging (fMRI) will be completed at baseline and week 8. We will compare changes in mood, cognition, daily functioning, and fMRI data. We will explore cognitive control network functioning using resting-state and task-based fMRI.
Results: Recruitment began in October 2019; we expect to finish recruitment by April 2022 and subsequently begin data analysis.
Conclusions: This study is innovative in that it will include both active and waitlist control conditions and will explore changes in neural activation. Identifying the neural networks associated with improvements following CCT will allow for the development of more precise and effective interventions.