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Zheng K, Liu Z, Miao Z, Xiong G, Yang H, Zhong M, Yi J. Impaired cognitive flexibility in major depressive disorder: Evidences from spatial-temporal ERPs analysis. J Affect Disord 2024; 365:406-416. [PMID: 39168167 DOI: 10.1016/j.jad.2024.08.092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 08/16/2024] [Accepted: 08/17/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND Major Depressive Disorder (MDD) may exhibit impairments in cognitive flexibility. This study investigated whether the cognitive flexibility deficits in MDD are evident across general stimuli or specific to emotional stimuli, while exploring the underlying neuropsychological mechanism. METHODS A total of 41 MDD patients and 42 healthy controls (HCs) were recruited. Event-related potentials (ERPs) were recorded when participants performed a non-emotional and an emotional task switching paradigm (N-ETSP and ETSP), both of which assessed cognitive flexibility. Microstate and source localization analysis were applied to reflect brain activity among different brain areas during task switching. RESULTS In the N-ETSP, MDD group showed larger P3 difference wave (Pd3) amplitudes and longer P2 difference wave (Pd2) latencies. In the ETSP, MDD group displayed smaller N2 difference wave (Nd2) amplitudes and larger Pd3 amplitudes. The comparison of sLORETA images of emotional switch task and emotional repeat task showed that MDD group had increased activation in the precentral gyrus in microstate2 of the P2 time window and had reduced activation in the middle occipital gyrus in microstate3 of the N2 time window. LIMITATIONS The cross-sectional design failed to capture dynamic changes in cognitive flexibility in MDD. CONCLUSIONS MDD demonstrated impaired cognitive flexibility respond to both non-emotional and emotional stimuli, with greater impairment for negative emotional stimuli. These deficits are evident in abnormal ERPs component during the early attention stage and the later task preparation stage. Furthermore, abnormal emotional switching cost in MDD appears to be related to early abnormal perceptual control in the parietal-occipital cortex.
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Affiliation(s)
- Kaili Zheng
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychology Institution, Central South University, Changsha, Hunan, China
| | - Zhaoxia Liu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychology Institution, Central South University, Changsha, Hunan, China
| | - Zhengmiao Miao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychology Institution, Central South University, Changsha, Hunan, China
| | - Gangqin Xiong
- Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China
| | - Huihui Yang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychology Institution, Central South University, Changsha, Hunan, China
| | - Mingtian Zhong
- Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China; School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Jinyao Yi
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychology Institution, Central South University, Changsha, Hunan, China; National Clinical Research Center for Mental Disorders, Changsha, Hunan, China.
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Zhang X, Feng S, Yang X, Peng Y, Du M, Zhang R, Sima J, Zou F, Wu X, Wang Y, Gao X, Luo Y, Zhang M. Neuroelectrophysiological alteration associated with cognitive flexibility after 24 h sleep deprivation in adolescents. Conscious Cogn 2024; 124:103734. [PMID: 39096822 DOI: 10.1016/j.concog.2024.103734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 07/28/2024] [Accepted: 07/30/2024] [Indexed: 08/05/2024]
Abstract
The cognitive neural mechanisms by which sleep deprivation affects cognitive flexibility are poorly understood. Therefore, the study investigated the neuroelectrophysiological basis of the effect of 24 h sleep deprivation on cognitive flexibility in adolescents. 72 participants (36 females, mean age ± SD=20.46 ± 2.385 years old) participated in the study and were randomly assigned to the sleep deprivation group and control group. They were instructed to complete a task switch paradigm, during which participants' behavioral and electroencephalographic data were recorded. Behaviorally, there were significant between-group differences in accuracy. The results of event-related potential showed that the P2, N2 and P3 components had significant group effects or interaction effects. At the time-frequency level, there were statistically significant differences between the delta and theta bands. These results suggested that 24 h sleep deprivation affected problem-solving effectiveness rather than efficiency, mainly because it systematically impaired cognitive processing associated with cognitive flexibility.
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Affiliation(s)
- Xirui Zhang
- The First Affiliated Hospital of Xinxiang Medical University, Henan 453003, China
| | - Shuqing Feng
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Xiaochen Yang
- The First Affiliated Hospital of Xinxiang Medical University, Henan 453003, China
| | - Yunwen Peng
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Mei Du
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Rui Zhang
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Jiashan Sima
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Feng Zou
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Xin Wu
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Yufeng Wang
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Xiaomeng Gao
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China.
| | - Yanyan Luo
- School of Nursing, Xinxiang Medical University, Henan 453003, China.
| | - Meng Zhang
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China.
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Wang Z, Zhao Y, You X, Liang J. Relationship Between the Parietal Cortex and Task Switching: Transcranial Direct Current Stimulation Combined with an Event-related Potential Study. Neuroscience 2024; 546:41-52. [PMID: 38548166 DOI: 10.1016/j.neuroscience.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 02/28/2024] [Accepted: 03/05/2024] [Indexed: 04/06/2024]
Abstract
Task switching refers to a set of cognitive processes involved in shifting attention from one task to another. In recent years, researchers have applied transcranial direct current stimulation (tDCS) to investigate the causal relationship between the parietal cortex and task switching. However, results from available studies are highly inconsistent. This may be due to the unclear understanding of the underlying mechanisms. Therefore, the current study utilized event-related potential (ERP) analysis to investigate the modulatory effects of tDCS on task-switching processes. Twenty-four subjects were recruited to perform both predictable and unpredictable parity/magnitude tasks under anodal (RA) and sham conditions. The results showed no significant changes in behavioral performance. However, marked tDCS-induced ERP changes were observed. Specifically, for the predictable task switching, compared with the sham condition, the target-N2 component occurred significantly earlier for switch trials than repeat trials under the RA condition in males, while no difference was found in females. For unpredictable task switching, under the sham condition, the P2 peak was significantly larger for switch trials compared with repeat trials, whereas this difference was not observed under the RA condition. These results indicated the causal relationship between the right parietal cortex and exogenous adjustment processes involved in task switching. Moreover, anodal tDCS over the right parietal cortex may lead to the manifestation of gender differences.
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Affiliation(s)
- Ziyu Wang
- School of Electronic Engineering, Xidian University, Xi'an 710071, China; School of Psychology, Shaanxi Normal University, Xi'an 710062, China.
| | - Yi Zhao
- School of Electronic Engineering, Xidian University, Xi'an 710071, China
| | - Xuqun You
- School of Psychology, Shaanxi Normal University, Xi'an 710062, China
| | - Jimin Liang
- School of Electronic Engineering, Xidian University, Xi'an 710071, China.
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Do after "not to do": Deinhibition in cognitive control. Mem Cognit 2023:10.3758/s13421-023-01403-9. [PMID: 36853480 DOI: 10.3758/s13421-023-01403-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2023] [Indexed: 03/01/2023]
Abstract
In daily life, we often need to inhibit a certain behavior or thought; however, sometimes we need to remove inhibition (deinhibition). Numerous studies have examined inhibition control, but it is unclear how deinhibition functions. In Experiment 1, we adopted a modified stop-signal task in which participants were instructed to immediately stop the prepared response to a stimulus appended by an accidental signal. The results showed that when the preceding trial was a stop-signal trial and participants successfully inhibited the action to the stimulus, the reaction time (RT) for the repeated stimuli in the current trial was significantly longer than that of the switched stimuli, reflecting the cost of deinhibition. Deinhibition ability is correlated with inhibitory control and cognitive flexibility. In Experiment 2, we manipulated stimulus onset asynchrony (SOA) between presentation of the stimuli and the stopping signals to exclude the interference of the signal preparation effect on the deinhibition cost. These findings suggest that an individual's deinhibition ability, as a previously ignored subcomponent of cognitive control, may play an important role in human adaptive behavior.
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Zhang P, Cao B, Li F. The role of cognitive control in the SNARC effect: A review. Psych J 2022; 11:792-803. [PMID: 35975319 DOI: 10.1002/pchj.586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 07/05/2022] [Indexed: 11/11/2022]
Abstract
The spatial-numerical association of response codes (SNARC) effect, in which people respond to small numbers faster with the left hand and to large numbers faster with the right hand, is a popular topic in cognitive psychology. Some well-known theoretical accounts explaining this effect include the mental number line model, polarity correspondence principle, dual-route model, and working memory account. However, these fail to explain the finding that the size of the SNARC effect is modulated by cognitive control. Here, we propose a new account-a cognitive control-based view of the SNARC effect. This view argues that the SNARC effect is fundamentally determined by cognitive control in resolving conflicts during stimulus-response mapping. Several subcomponents of cognitive control, such as working memory, mental or task set shifting, inhibition control, and conflict adaptation, can easily modulate the SNARC effect. The cognitive control-based view can account for the flexible SNARC effect observed in diverse task situations while providing new insight into its mechanism.
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Affiliation(s)
- Ping Zhang
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Bihua Cao
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Fuhong Li
- School of Psychology, Jiangxi Normal University, Nanchang, China
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Wu J, Chen Y, Li Z, Li F. Cognitive control is modulated by hierarchical complexity of task switching: An event-related potential study. Behav Brain Res 2022; 434:114025. [PMID: 35901957 DOI: 10.1016/j.bbr.2022.114025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 07/12/2022] [Accepted: 07/24/2022] [Indexed: 11/26/2022]
Abstract
The study aimed to explore the effect of hierarchical complexity on task switching. The participants (n = 36) were asked to perform a magnitude or parity judgement on digits (1-9) in the hierarchical simple or complex block. In the simple block, participants made a numerical judgement on the presented digit (1-9) in each trial, whereas in the complex block, they had to first identify whether the digit in the current trial belonged to a predefined category (e.g., whether it was an even number), then perform a numerical judgment or not respond. The behavioural results revealed a significant interaction between hierarchical complexity and transition type (repeat vs. switch), with greater switch cost in the complex than in the simple block. Event-related potentials (ERPs) locked in the cue stage did not reveal this interaction, whereas the ERPs locked in the target stage revealed this interaction during the N2 and P3 time windows, with a larger switch negativity (switch minus repeat) in the complex than in the simple block. These findings demonstrate that an increase in hierarchical complexity triggers increased reactive control in the inhibition of the old task-set and reconfiguration of the new task-set during task switching.
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Affiliation(s)
- Jianxiao Wu
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China; School of Business Administration, Nanchang Institute of Technology, Nanchang, 330099, China
| | - Yun Chen
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China
| | - Zixia Li
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China
| | - Fuhong Li
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China.
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Ding G, Ye W, Cao B, Li F. Electrophysiological correlates of the effect of set size on object switching in working memory. Psychophysiology 2022; 60:e14135. [PMID: 35775733 DOI: 10.1111/psyp.14135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 05/09/2022] [Accepted: 06/04/2022] [Indexed: 11/27/2022]
Abstract
Previous studies have revealed the effect of set size (the number of activated items) on object switching in working memory, but the underlying neural mechanism remains unclear. In this study, participants were asked to first remember two (small size) or three (large size) two-digit numbers and the corresponding geometrical figures as different references for numerical comparison and then compare a series of numbers (10-99) to the reference numbers cued by different geometrical figures. The cue repeated or switched across trials. Behavioral results revealed that the switch cost was greater in the large-size condition than in the small-size condition. Event-related potential results showed that in the N2 component, an interaction was observed between set size and transition, with a significant transition effect (switch minus repeat) in the large-size condition and a non-significant transition effect in the small-size condition. The same interaction was observed in the P3 component, with a larger amplitude difference (switch minus repeat) in the large-size condition than in the small-size condition. These results suggested that when set size is increased, the effort to inhibit the irrelevant items increases, resulting in large cost of object switching in working memory.
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Affiliation(s)
- Gangqiang Ding
- School of Psychology, Jiangxi Normal University, Nanchang, China.,School of Education, Xinyang College, Xinyang, China
| | - Weidong Ye
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Bihua Cao
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Fuhong Li
- School of Psychology, Jiangxi Normal University, Nanchang, China
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Chen Y, Cao B, Xie L, Wu J, Li F. Proactive and reactive control differ between task switching and response rule switching: Event-related potential evidence. Neuropsychologia 2022; 172:108272. [PMID: 35597267 DOI: 10.1016/j.neuropsychologia.2022.108272] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 04/20/2022] [Accepted: 05/15/2022] [Indexed: 12/26/2022]
Abstract
The distinction between task-switching (T-switch) and response-rule switching (RR-switch) has been reported in previous studies. However, it is unclear whether the neural correlates of proactive and reactive control differ between T-switch and RR-switch. In this study, a modified cue-target task was adopted. When the cue in the current trial differed from that in the preceding trial in shape (or color), the participants had to perform a T-switch (or RR-switch). Otherwise, they performed the same task following the same response rule. The behavioral results showed that the switch cost was greater for the RR-switch than for the T-switch. The event-related potential results indicated that (1) for cues, the switch-positivity in the late positive component (LPC) (500-800 ms) was more enhanced for the RR-switch than for the T-switch over the central to parietal regions, reflecting increased proactive control for the RR-switch compared with the T-switch; (2) for targets, the P3 amplitude was more attenuated in the RR-switch than the T-switch over the central and parietal regions, reflecting increased reactive control for the RR-switch; and (3) under the T-switch, the switch-positivity in the cue-LPC was negatively correlated with accuracy cost, while under the RR-switch, the switch negativity in the target-P3 was positively correlated with the reaction time cost. These findings suggest that similar proactive and reactive control are recruited in the T-switch and RR-switch, whereas cognitive control efforts clearly differ between them, perhaps due to different sub-processes.
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Affiliation(s)
- Yun Chen
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China
| | - Bihua Cao
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China.
| | - Liufang Xie
- School of Education Science, Nanning Normal University, Nanning, 530299, China
| | - Jianxiao Wu
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China; School of Business Administration, Nanchang Institute of Technology, Nanchang, 330099, China
| | - Fuhong Li
- School of Psychology, Jiangxi Normal University, Nanchang, 330022, China
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Liu S, Wang X, Ma J, Wang K, Wang Z, Li J, Chen J, Zhan H, Wu W. Effect of Low-Frequency Repetitive Transcranial Magnetic Stimulation on Executive Function and Its Neural Mechanism: An Event-Related Potential Study. Front Neurosci 2021; 15:701560. [PMID: 34776839 PMCID: PMC8580383 DOI: 10.3389/fnins.2021.701560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 09/29/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: Executive function refers to the conscious control of thinking and behavior in psychological process. Executive dysfunction widely exists in a variety of neuropsychiatric diseases, and is closely related to the decline of daily living ability and function. This study intends to explore the effect of low-frequency repetitive transcranial magnetic stimulation (rTMS) on executive function and its neural mechanism by using event-related potential (ERP), so as to provide basis for further study on the relationship between cerebral cortex and executive function. Methods: Task switching paradigm was used to study the cognitive flexibility in executive function. Thirty-one healthy subjects were randomly assigned to receive rTMS stimulations (1 Hz rTMS or sham rTMS) to the left dorsolateral prefrontal cortex (DLPFC) twice. The switching task and the electroencephalography EEG recordings were performed before (pre-rTMS/pre-sham rTMS) and immediately after the end of the rTMS application (post-rTMS/post-sham rTMS). Results: The analysis of RTs showed that the main effects of switching and time were statistically significant. Further analysis revealed that the RT of rTMS stimulation was longer than sham rTMS at post-stimulation. ERP analysis showed that there was a significant switching effect in frontal and central scalp location, and the P2 amplitude in switch trials was greater than that in non-switch trials. At post-stimulation, the N2 amplitude of rTMS is more negative than that of sham rTMS at non-switch trials, whereas no such difference was found at switch trials. The P3 amplitude and LPC amplitude are significantly reduced by rTMS at post-stimulation. Conclusion: Low-frequency rTMS of the left DLPFC can cause decline of cognitive flexibility in executive function, resulting in the change of N2 amplitude and the decrease of P3 and LPC components during task switching, which is of positive significance for the evaluation and treatment of executive function.
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Affiliation(s)
- Sishi Liu
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,Rehabilitation Medical School, Southern Medical University, Guangzhou, China
| | - Xianglong Wang
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,Rehabilitation Medical School, Southern Medical University, Guangzhou, China
| | - Junqin Ma
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Kangling Wang
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhengtao Wang
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jie Li
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jiali Chen
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Hongrui Zhan
- Department of Rehabilitation, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Wen Wu
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,Rehabilitation Medical School, Southern Medical University, Guangzhou, China
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Trait anxiety modulates the temporal dynamics of Stroop task switching: An ERP study. Biol Psychol 2021; 163:108144. [PMID: 34242721 DOI: 10.1016/j.biopsycho.2021.108144] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 07/03/2021] [Accepted: 07/04/2021] [Indexed: 11/21/2022]
Abstract
The current study aimed to find neural evidence that trait anxiety interferes with one's shifting function processing efficiency. Twenty-five high trait-anxiety (HTA) and twenty-five low trait-anxiety (LTA) participants were instructed to complete a cue-based Stroop task-switching assessment of shifting function. No group difference in behavioral performance was shown, though event-related potential (ERP) results in the cue-locked period showed that only the LTA group had a general switch benefit in contingent negative variation (CNV) amplitude, indicating the LTA group exerted less task preparation effort. In the subsequent target-locked period, compared to the LTA group, the local switch cost of target-P3 was higher in the HTA group in incompatible trials, suggesting inefficient attentional resource allocation in the HTA group in incompatible trials. These ERP findings indicated that the HTA group ultimately achieved comparable behavioral performance with the LTA group at the expense of using more compensatory strategies at the neural level.
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