Content area

Abstract

The efficacy of cognitive training is controversial, and research progress in the field requires an understanding of factors that promote transfer of training gains and their relationship to changes in brain activity. One such factor may be adaptive task difficulty, as adaptivity is predicted to facilitate more efficient processing by creating a prolonged mismatch between the supply of, and the demand upon, neural resources. To test this hypothesis, we measured behavioral and neural plasticity in fMRI sessions before and after 10 sessions of working memory updating (WMU) training, in which the difficulty of practiced tasks either adaptively increased in response to performance or was fixed. Adaptive training resulted in transfer to an untrained episodic memory task and activation decreases in striatum and hippocampus on a trained WMU task, and the amount of training task improvement was associated with near transfer to other WMU tasks and with hippocampal activation changes on both near and far transfer tasks. These findings suggest that cognitive training programs should incorporate adaptive task difficulty to broaden transfer of training gains and maximize efficiency of task-related brain activity.

Details

Title
Adaptive task difficulty influences neural plasticity and transfer of training
Author
Flegal, Kristin E 1 ; Ragland, J Daniel 2 ; Ranganath, Charan 3 

 Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, Glasgow, G12 8QB, Scotland, UK; Center for Neuroscience, University of California at Davis, 1544 Newton Court, Davis, CA, 95618, USA 
 Department of Psychiatry and Behavioral Sciences, University of California at Davis, 4701 X Street, Sacramento, CA, 95817, USA 
 Center for Neuroscience, University of California at Davis, 1544 Newton Court, Davis, CA, 95618, USA; Department of Psychology, University of California at Davis, One Shields Avenue, Davis, CA, 95616, USA 
Pages
111-121
Publication year
2019
Publication date
Mar 2019
Publisher
Elsevier Limited
ISSN
10538119
e-ISSN
10959572
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2187124025
Copyright
©2018. Elsevier Inc.