Normal aging is accompanied by physical decline in brain volume and connectivity in the prefrontal cortex (PFC), along with changes in cognitive abilities related to working memory and executive control. Functions tied to sub-cortical brain structures, such as implicit learning, see relatively less decline in non-pathological aging. In response to declining PFC function, older adults appear to recruit PFC resources differently than young adults as task demands increase. Although much evidence supports the notion that this increased activation is """"""""compensatory"""""""", inconsistencies and alternative accounts exist. Cabeza &Dennis (2012) recently proposed criteria to clarify conditions under which increased activity should be considered compensatory. The criteria distinguish between successful and unsuccessful compensation and should bring order to the literature on age-related compensatory activation. The criteria, however, do not predict when task conditions should result in compensation. Our understanding of compensatory effectiveness would benefit from systematic examination within a theoretical framework that predicts when task performance should and should not be linked to PFC function. Such a framework exists in the categorization research literature. The theory, called COVIS (for COmpetition between Verbal and Implicit Systems) posits that explicit (verbalizable) category rule learning is mediated by PFC, while implicit (nonverbalizable) rule learning is mediated by subcortical structures. This prediction, when combined with the criteria described above, provides a unique opportunity to increase understanding of compensatory success and failure across a major subdivision of cognitive skill - explicit and implicit reasoning. In the proposed experiments, young and older adults will perform simple category learning tasks that are mediated by either PFC or subcortical regions. PFC blood flow will be measured using functional Near Infrared spectroscopy (fNIR) to measure the timing and duration of changes in activation related to task demands. For explicit rules, compensatory activation should aid performance during learning. During learning of implicit rules, PFC compensation should be attempted but unsuccessful, producing an extended period of increased activity - a hallmark of ineffective compensation predicted by Cabeza &Dennis's criteria. We plan to explore this fundamental prediction from several perspectives, comparing young and older adults, levels of task difficulty, dual task demands, and individual-difference predictors related to brain integrity. This approach holds value for predicting normal age-related brain changes, as well as the results of traumatic injury in different brain regions.

Public Health Relevance

In response to normal age-related decline in brain function, older adults are thought to recruit a larger proportion of brain resources to maintain performance when cognitive task demands increase. Our long-term goal is to understand age-related differences in the occurrence and effectiveness of this compensatory activation in explicit and implicit reasoning tasks (a major subdivision of cognitive behaviors). This research holds value for predicting normal age-related brain changes, as well as the results of traumatic injury in different brain regions.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Academic Research Enhancement Awards (AREA) (R15)
Project #
1R15AG045821-01A1
Application #
8687934
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Wagster, Molly V
Project Start
2014-07-01
Project End
2017-06-30
Budget Start
2014-07-01
Budget End
2017-06-30
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Central Florida
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
City
Orlando
State
FL
Country
United States
Zip Code
32826
Wismer, Andrew J; Bohil, Corey J (2017) Base-rate sensitivity through implicit learning. PLoS One 12:e0179256
Mishler, Ada D; Neider, Mark B (2017) Improving Wayfinding for Older Users With Selective Attention Deficits. Ergon Des 25:11-16
Hess, Alyssa S; Wismer, Andrew J; Bohil, Corey J et al. (2016) On the Hunt: Searching for Poorly Defined Camouflaged Targets. PLoS One 11:e0152502
Hill, Audrey P; Bohil, Corey J (2016) Applications of Optical Neuroimaging in Usability Research. Ergon Des 24:4-9
Bohil, Corey J; Wismer, Andrew J; Schiebel, Troy A et al. (2015) Best-classifier feedback in diagnostic classification training. J Appl Res Mem Cogn 4:368-373
Bohil, Corey J; Wismer, Andrew J (2015) Implicit learning mediates base rate acquisition in perceptual categorization. Psychon Bull Rev 22:586-93