Visual working memory (WM) is a central cognitive system for maintaining active representations about objects in the environment so that they may be manipulated or acted upon. Individual differences in WM ability in healthy populations appear to reflect a core cognitive ability because they strongly predict an individual's fluid intelligenc as well as several aspects of scholastic achievement. Furthermore, WM deficits are a signature of many prevalent mental health disorders. Thus, a detailed understanding of this system is essential if we are to understand and treat psychopathologies that involve impaired cognition such as attention deficit/ hyperactivity disorder (ADHD) or schizophrenia. In addition, because of the tight link between online visual memory and basic processes for visual perception, our work will help to integrate basic knowledge about visual sensory processing (e.g., population coding of simple visual features) and online memory. One of the most fundamental attributes of WM is that it is greatly limited in capacity: capable of storing information about just a few objects at time, each with a limited level of precision. A key recent discovery is that these number and precision limits are distinct facets of WM capacity. However, the neural mechanisms that underlie these two factors that determine capacity are not currently understood. Here, we are developing neural oscillatory and hemodynamic measures that enable tracking of both between- and within-subject variations in these abilities. Specifically, our preliminary data show that the number of items held in WM is indexed on a trial-by-trial basis by desynchronization in alpha power (8-12hz) and WM precision is indexed by the dispersion of sensory population codes (quantified via novel multivariate analyses of fMRI and EEG data). The proposed research will employ psychophysics, fMRI, and EEG to measure the neural signals that track number and precision in WM. These efforts will provide new insights into the functional subdivisions of visual WM, and build clear bridges between well characterized behavioral measures of online memory ability and measures of oscillatory activity in humans. Finally, we will also examine the interactions between visual WM and visual long term memory (LTM) to determine how the contents of WM determine that which is encoded into LTM. These studies will help to characterize the role of visual WM in associative learning and clarify the roles of each system in the guidance of complex behaviors. By more precisely understanding how healthy individuals differ in WM ability and visual sensory function, we hope to develop methods and procedures that can be used to more accurately detect and characterize disease states in populations with mental health disorders, and to diagnose and quantify disorders in visually-guided behavior.

Public Health Relevance

The core goal of the proposed research is to better characterize the neural signals that underlie the capacity limits in human working memory. This memory system is a core part of most cognitive processes, and capacity in this system is correlated with fluid intelligence and scholastic achievement. Because disruptions of working memory are common in prevalent clinical disorders such as ADHD and schizophrenia, a better understanding of the neural mechanisms of this system will have a beneficial impact on both the diagnosis and treatment of disease states that involve impaired cognition. In addition, because it is clear that basic visual sensory processes are integral to the online maintenance of visual information, this research will help to integrate across models of visual sensory processing (e.g., population coding of simple visual features) and online memory.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH087214-10
Application #
9546846
Study Section
Cognition and Perception Study Section (CP)
Program Officer
Buhring, Bettina D
Project Start
2009-09-22
Project End
2019-07-31
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
10
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Chicago
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
Feldmann-Wüstefeld, Tobias; Vogel, Edward K (2018) Neural Evidence for the Contribution of Active Suppression During Working Memory Filtering. Cereb Cortex :
Feldmann-Wüstefeld, Tobias; Vogel, Edward K; Awh, Edward (2018) Contralateral Delay Activity Indexes Working Memory Storage, Not the Current Focus of Spatial Attention. J Cogn Neurosci 30:1185-1196
Foster, Joshua J; Awh, Edward (2018) The role of alpha oscillations in spatial attention: limited evidence for a suppression account. Curr Opin Psychol 29:34-40
van Moorselaar, Dirk; Foster, Joshua J; Sutterer, David W et al. (2018) Spatially Selective Alpha Oscillations Reveal Moment-by-Moment Trade-offs between Working Memory and Attention. J Cogn Neurosci 30:256-266
Huang, Liqiang; Awh, Edward (2018) Chunking in working memory via content-free labels. Sci Rep 8:23
Adam, Kirsten C S; Robison, Matthew K; Vogel, Edward K (2018) Contralateral Delay Activity Tracks Fluctuations in Working Memory Performance. J Cogn Neurosci 30:1229-1240
Xu, Z; Adam, K C S; Fang, X et al. (2018) The reliability and stability of visual working memory capacity. Behav Res Methods 50:576-588
Foster, Joshua J; Sutterer, David W; Serences, John T et al. (2017) Alpha-Band Oscillations Enable Spatially and Temporally Resolved Tracking of Covert Spatial Attention. Psychol Sci 28:929-941
Adam, Kirsten C S; Vogel, Edward K; Awh, Edward (2017) Clear evidence for item limits in visual working memory. Cogn Psychol 97:79-97
Foster, Joshua J; Bsales, Emma M; Jaffe, Russell J et al. (2017) Alpha-Band Activity Reveals Spontaneous Representations of Spatial Position in Visual Working Memory. Curr Biol 27:3216-3223.e6

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