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Gao T, Liu X, Geng W, Yan C, Wu M, Yang L. The effect of reward expectation on working memory of emotional faces under different levels of cognitive load: an ERP study. Exp Brain Res 2024; 242:769-780. [PMID: 38310175 DOI: 10.1007/s00221-023-06776-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 12/29/2023] [Indexed: 02/05/2024]
Abstract
Using event-related potentials (ERPs), this study examined the impact of reward expectations on working memory of emotional faces under different levels of cognitive load in a task combining the N-back paradigm and the reward expectation paradigm. The experiment involved presenting high- or low-reward cues followed by an N-back task for emotional faces with different loads. The accuracy results showed that under a high task load, both reward and emotion effects were significantly observed. However, these effects disappeared under a low task load. Analysis of the ERP data revealed that the early P2 and VPP components exhibited greater responses to fearful faces than to neutral faces. In the later stages, the P3 and LPP components showed greater reactions to high rewards than to low rewards. Additionally, the P2 component was found to be modulated by task load in relation to rewards, the EPN component demonstrated task load modulation with respect to emotions, and the N170 component showed an interaction effect between rewards and emotions. These findings imply that load regulates the reward effect and the emotional superiority effect in the process of working memory for emotional faces. In the cognitive processing of working memory, motivation and emotion jointly influence processing. Emotional factors have a greater impact in the early stage of processing, while motivation factors have a greater impact in the late stage of processing.
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Affiliation(s)
- Tian Gao
- School of Psychology, Xinxiang Medical University, Xinxiang City, 453003, Henan, China
| | - Xintong Liu
- School of Psychology, Xinxiang Medical University, Xinxiang City, 453003, Henan, China
| | - Wenting Geng
- School of Psychology, Xinxiang Medical University, Xinxiang City, 453003, Henan, China
| | - Chunping Yan
- School of Psychology, Xinxiang Medical University, Xinxiang City, 453003, Henan, China.
| | - Meng Wu
- School of Psychology, Xinxiang Medical University, Xinxiang City, 453003, Henan, China
| | - Lei Yang
- School of Psychology, Xinxiang Medical University, Xinxiang City, 453003, Henan, China
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Cho YT, Moujaes F, Schleifer CH, Starc M, Ji JL, Santamauro N, Adkinson B, Kolobaric A, Flynn M, Krystal JH, Murray JD, Repovs G, Anticevic A. Reward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals. Neuroimage 2022; 254:119139. [PMID: 35346841 PMCID: PMC9264479 DOI: 10.1016/j.neuroimage.2022.119139] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/15/2022] [Accepted: 03/22/2022] [Indexed: 10/29/2022] Open
Abstract
Integrating motivational signals with cognition is critical for goal-directed activities. The mechanisms that link neural changes with motivated working memory continue to be understood. Here, we tested how externally cued and non-cued (internally represented) reward and loss impact spatial working memory precision and neural circuits in human subjects using fMRI. We translated the classic delayed-response spatial working memory paradigm from non-human primate studies to take advantage of a continuous numeric measure of working memory precision, and the wealth of translational neuroscience yielded by these studies. Our results demonstrated that both cued and non-cued reward and loss improved spatial working memory precision. Visual association regions of the posterior prefrontal and parietal cortices, specifically the precentral sulcus (PCS) and intraparietal sulcus (IPS), had increased BOLD signal during incentivized spatial working memory. A subset of these regions had trial-by-trial increases in BOLD signal that were associated with better working memory precision, suggesting that these regions may be critical for linking neural signals with motivated working memory. In contrast, regions straddling executive networks, including areas in the dorsolateral prefrontal cortex, anterior parietal cortex and cerebellum displayed decreased BOLD signal during incentivized working memory. While reward and loss similarly impacted working memory processes, they dissociated during feedback when money won or avoided in loss was given based on working memory performance. During feedback, the trial-by-trial amount and valence of reward/loss received was dissociated amongst regions such as the ventral striatum, habenula and periaqueductal gray. Overall, this work suggests motivated spatial working memory is supported by complex sensory processes, and that the IPS and PCS in the posterior frontoparietal cortices may be key regions for integrating motivational signals with spatial working memory precision.
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Affiliation(s)
- Youngsun T Cho
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, Child Study Center, 230 South Frontage Road, New Haven, CT, 06519, USA; Connecticut Mental Health Center, Clinical Neuroscience Research Unit, 34 Park Street, 3rd floor, New Haven, CT, 06519, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA.
| | - Flora Moujaes
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Charles H Schleifer
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | | | - Jie Lisa Ji
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Nicole Santamauro
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Brendan Adkinson
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Antonija Kolobaric
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Morgan Flynn
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - John H Krystal
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, NIAAA Center for Translational Neuroscience of Alcoholism, 34 Park Street, 3rd floor, New Haven, CT 06519 USA
| | - John D Murray
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA; Yale University, Department of Physics, 217 Prospect Street, New Haven, CT, 06511, USA
| | - Grega Repovs
- University of Ljubljana, Department of Psychology
| | - Alan Anticevic
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Connecticut Mental Health Center, Clinical Neuroscience Research Unit, 34 Park Street, 3rd floor, New Haven, CT, 06519, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA; University of Zagreb, University Psychiatric Hospital Vrapce; Yale University, Department of Psychology, Box 208205, New Haven, CT, 06520-8205, USA; Yale University, NIAAA Center for Translational Neuroscience of Alcoholism, 34 Park Street, 3rd floor, New Haven, CT 06519 USA.
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