Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial
Background: There is a need for effective interventions to stave off cognitive decline in older adults. Cognitive training has variably produced gains in untrained tasks and daily functioning. Combining cognitive training with transcranial direct current stimulation (tDCS) may augment cognitive trai...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | Brain Stimulation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1935861X23017886 |
| _version_ | 1797798065555374080 |
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| author | Hanna K. Hausman Gene E. Alexander Ronald Cohen Michael Marsiske Steven T. DeKosky Georg A. Hishaw Andrew O'Shea Jessica N. Kraft Yunfeng Dai Samuel Wu Adam J. Woods |
| author_facet | Hanna K. Hausman Gene E. Alexander Ronald Cohen Michael Marsiske Steven T. DeKosky Georg A. Hishaw Andrew O'Shea Jessica N. Kraft Yunfeng Dai Samuel Wu Adam J. Woods |
| author_sort | Hanna K. Hausman |
| collection | DOAJ |
| description | Background: There is a need for effective interventions to stave off cognitive decline in older adults. Cognitive training has variably produced gains in untrained tasks and daily functioning. Combining cognitive training with transcranial direct current stimulation (tDCS) may augment cognitive training effects; however, this approach has yet to be tested on a large-scale. Objective: This paper will present the primary findings of the Augmenting Cognitive Training in Older Adults (ACT) clinical trial. We hypothesize that receiving active stimulation with cognitive training will result in greater improvements on an untrained fluid cognition composite compared to sham following intervention. Methods: 379 older adults were randomized, and 334 were included in intent-to-treat analyses for a 12-week multidomain cognitive training and tDCS intervention. Active or sham tDCS was administered at F3/F4 during cognitive training daily for two weeks then weekly for 10 weeks. To assess the tDCS effect, we fitted regression models for changes in NIH Toolbox Fluid Cognition Composite scores immediately following intervention and one year from baseline controlling for covariates and baseline scores. Results: Across the entire sample, there were improvements in NIH Toolbox Fluid Cognition Composite scores immediately post-intervention and one year following baseline; however, there were no significant tDCS group effects at either timepoint. Conclusions: The ACT study models rigorous, safe administration of a combined tDCS and cognitive training intervention in a large sample of older adults. Despite potential evidence of near-transfer effects, we failed to demonstrate an additive benefit of active stimulation. Future analyses will continue to assess the intervention's efficacy by examining additional measures of cognition, functioning, mood, and neural markers. |
| first_indexed | 2024-03-13T03:58:54Z |
| format | Article |
| id | doaj.art-4ac9d2719dc54d849b3a96051a4820c2 |
| institution | Directory Open Access Journal |
| issn | 1935-861X |
| language | English |
| last_indexed | 2024-03-13T03:58:54Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain Stimulation |
| spelling | doaj.art-4ac9d2719dc54d849b3a96051a4820c22023-06-22T05:02:48ZengElsevierBrain Stimulation1935-861X2023-05-01163904917Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trialHanna K. Hausman0Gene E. Alexander1Ronald Cohen2Michael Marsiske3Steven T. DeKosky4Georg A. Hishaw5Andrew O'Shea6Jessica N. Kraft7Yunfeng Dai8Samuel Wu9Adam J. Woods10Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USADepartment of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, USA; Brain Imaging, Behavior and Aging Laboratory, Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USACenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USACenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USACenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, USACenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USACenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USADepartment of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USACenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA; Corresponding author. 1249 Center Drive C2-018, Suite B, Gainesville, FL 32603.Background: There is a need for effective interventions to stave off cognitive decline in older adults. Cognitive training has variably produced gains in untrained tasks and daily functioning. Combining cognitive training with transcranial direct current stimulation (tDCS) may augment cognitive training effects; however, this approach has yet to be tested on a large-scale. Objective: This paper will present the primary findings of the Augmenting Cognitive Training in Older Adults (ACT) clinical trial. We hypothesize that receiving active stimulation with cognitive training will result in greater improvements on an untrained fluid cognition composite compared to sham following intervention. Methods: 379 older adults were randomized, and 334 were included in intent-to-treat analyses for a 12-week multidomain cognitive training and tDCS intervention. Active or sham tDCS was administered at F3/F4 during cognitive training daily for two weeks then weekly for 10 weeks. To assess the tDCS effect, we fitted regression models for changes in NIH Toolbox Fluid Cognition Composite scores immediately following intervention and one year from baseline controlling for covariates and baseline scores. Results: Across the entire sample, there were improvements in NIH Toolbox Fluid Cognition Composite scores immediately post-intervention and one year following baseline; however, there were no significant tDCS group effects at either timepoint. Conclusions: The ACT study models rigorous, safe administration of a combined tDCS and cognitive training intervention in a large sample of older adults. Despite potential evidence of near-transfer effects, we failed to demonstrate an additive benefit of active stimulation. Future analyses will continue to assess the intervention's efficacy by examining additional measures of cognition, functioning, mood, and neural markers.http://www.sciencedirect.com/science/article/pii/S1935861X23017886tDCSCognitive trainingOlder adultsCognitionIntervention |
| spellingShingle | Hanna K. Hausman Gene E. Alexander Ronald Cohen Michael Marsiske Steven T. DeKosky Georg A. Hishaw Andrew O'Shea Jessica N. Kraft Yunfeng Dai Samuel Wu Adam J. Woods Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial Brain Stimulation tDCS Cognitive training Older adults Cognition Intervention |
| title | Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial |
| title_full | Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial |
| title_fullStr | Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial |
| title_full_unstemmed | Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial |
| title_short | Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial |
| title_sort | primary outcome from the augmenting cognitive training in older adults study act a tdcs and cognitive training randomized clinical trial |
| topic | tDCS Cognitive training Older adults Cognition Intervention |
| url | http://www.sciencedirect.com/science/article/pii/S1935861X23017886 |
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