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Understanding Mediating and Moderating Factors that Determine Transfer of Working Memory Training

了解决定工作记忆训练转移的中介和调节因素

基本信息

批准号：
10002305
负责人：
Susanne M Jaeggi
金额：
$ 38.68万
依托单位：
UNIVERSITY OF CALIFORNIA RIVERSIDE
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-26 至 2023-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10002305
关键词：
Address Age-associated memory impairment Aging Asses Behavior Therapy Brain Brain Injuries Cognition Cognitive Cognitive Therapy Communities Computer software Data Disease Generations Goals Health Promotion Human Impaired cognition Impairment Individual Individual Differences Intervention Investigation Knowledge Knowledge acquisition Lead Learning Light Measures Mediating Memory Memory impairment Mental Health Meta-Analysis Methods Mission Modernization Motivation National Institute of Drug Abuse National Institute of Mental Health National Institute of Neurological Disorders and Stroke National Institute on Alcohol Abuse and Alcoholism Noise Outcome Outpatients Output Participant Perceptual learning Performance Personal Satisfaction Population Population Heterogeneity Procedures Psyche structure Psychological Transfer Public Health Rehabilitation therapy Research Research Domain Criteria Running Sampling Scientist Series Short-Term Memory Societies Stimulus System Testing Theoretical model Time Training Translating United States National Institutes of Health Universities Work base behavioral study cognitive function cognitive skill cognitive system cognitive task cognitive testing crowdsourcing design executive function fitness improved innovation large scale data learning outcome memory process multisensory novel personalized intervention programs recruit skills therapy development translational impact

项目摘要

SUMMARY The overall objective is to understand of the factors mediating and moderating transfer of learning in the context of training Working Memory (WM) systems. There is accumulating evidence that WM training impacts performance in a wide variety of tasks, however, to date, knowledge is extremely limited regarding the underlying mechanisms that mediate plasticity in WM systems, and what components of training give rise to transfer to different tasks. This proposal is transformative in how it applies knowledge derived from plasticity in other brain systems (such as perceptual learning, where there is substantial understanding of mechanisms that dtrive transfer) to test their impact in WM systems (Aim 1), in the creation of novel measures to asses transfer to real-world cognition (Aim 2), and in the use of online ‘crowd-sourced’ studies to characterize individual differences using a large population (Aim 3). These studies are particularly important and timely given current state of the field, which is fraught with controversy, and the lack of understanding of the relevant attributes of training and individual differences factors that give rise to successful training outcomes. Understanding the factors that mediate successful learning, as well as the individual differences moderating these is critical to resolve the current controversies and to move towards a theoretical model of training and transfer. Potential for knowledge gain and translational impact is substantial. Understanding how our memory systems work and the mechanisms that guide learning has great potential to be applied broadly in society. Our acquisition of knowledge in the world intimately relies on WM processes, thus, improvements in WM can benefit almost all aspects of our lives. This has driven a now billion-dollar commercial market that has provided early generation training approaches, which are extremely controversial in the scientific community. The proposed research can shed light on the factors that mediate and moderate these types of cognitive interventions and address the extent to which some procedures may, and others may not, lead to improvements in real world cognition. This can potentially lead to educational, rehabilitative, and technological advancements. For example, WM deficits exist in a wide range of mental health conditions, cases of disease and brain damage, and in cognitive declines with aging, and training approaches that promote better functioning WM systems can promote health and well-being in these groups. Further this research can elucidate approaches that may not work and help people avoid use of infective procedures. The proposed training software will be created on cross-platform game engines to enable dissemination to diverse populations. In this sense, the research output has innovative and broad impacts that can be directly realized from the proposed research. Many individuals are already using “brain training” products, however, none incorporate the theoretically-driven approaches designed to optimize WM learning with an aim to transfer that training to real world benefit, and that are systematically researched, as proposed here. Programs created in the proposed work will be made publically available.

总结