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Cao Y, Li J, Ou S, Xie T, Jiang T, Guo X, Ma N. Effect of homeostatic pressure and circadian rhythm on the task-switching: Evidence from drift diffusion model and ERP. Int J Psychophysiol 2024; 195:112263. [PMID: 37981032 DOI: 10.1016/j.ijpsycho.2023.112263] [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: 08/11/2023] [Revised: 10/08/2023] [Accepted: 11/13/2023] [Indexed: 11/21/2023]
Abstract
The effect of diurnal fluctuations on cognitive functions is widely studied, yet rare research has attempted to separate the role of two crucial processes underlying diurnal fluctuations: homeostatic pressure and circadian rhythm. The present study aimed to dissociate their effects by conducting a task-switching task in the morning, napping afternoon, and no-napping afternoon, respectively. Additionally, DDM and ERP were utilized to explore how these two processes differentially affect cognitive processes involved in task-switching. By a within-participant design, 35 healthy adults (20.03 ± 2.01 year-old, 14 males) with an intermediate-type chronotype were recruited in the current study. The results demonstrated that accumulated homeostatic pressure caused reduced accuracy, drift rate, and decision threshold. In the no-napping afternoon, P1 and P2 amplitudes were also decreased due to homeostatic pressure, whereas an afternoon nap could partially restore performance and neural activity. Conversely, the upward circadian rhythm in the afternoon exerted a compensatory effect, resulting in increases in N2 and P3 amplitudes. The findings highlight the disassociated impacts of homeostatic pressure and circadian rhythm on the cognitive processes involved in task-switching and further underscore the importance of considering diurnal variation in both scientific research and accident prevention.
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Affiliation(s)
- Yixuan Cao
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Jiahui Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Simei Ou
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Tian Xie
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Tianxiang Jiang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Xi Guo
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Ning Ma
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou 510631, China.
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2
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Wong YS, Pat N, Machado L. Commonalities between mind wandering and task-set switching: An event-related potential study. Neuropsychologia 2023; 185:108585. [PMID: 37169065 DOI: 10.1016/j.neuropsychologia.2023.108585] [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: 03/28/2023] [Revised: 05/08/2023] [Accepted: 05/08/2023] [Indexed: 05/13/2023]
Abstract
Previous research has established that mind wandering does not necessarily disrupt one's task-switching performance. Here we investigated the effects of mind wandering on electrophysiological signatures, measured using event-related potentials (ERPs), during a switching task. In the current study, a final sample of 22 young adults performed a task-switching paradigm while electroencephalography was continuously recorded; mind wandering was assessed via thought probes at the end of each block. Consistent with previous research, we found no significant disruptive effects of mind wandering on task-switching performance. The ERP results showed that at the posterior electrode sites (P3, Pz, and P4), P3 amplitude was higher for mind-wandering switch trials than on-task switch trials, thus opposing the typical pattern of P3 attenuation during periods of mind wandering relative to on-task episodes. Considering that increased P3 amplitude during higher-order switch trials (e.g., response rule switching) may reflect the implementation of new higher-order task sets/rules, the current findings seem to indicate similar executive control processes underlie mind wandering and task-set switching, providing further evidence in favor of a role for switching in mind wandering.
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Affiliation(s)
- Yi-Sheng Wong
- Department of Psychology and Brain Health Research Centre, University of Otago, Dunedin, New Zealand; Brain Research New Zealand, Auckland, New Zealand.
| | - Narun Pat
- Department of Psychology and Brain Health Research Centre, University of Otago, Dunedin, New Zealand
| | - Liana Machado
- Department of Psychology and Brain Health Research Centre, University of Otago, Dunedin, New Zealand; Brain Research New Zealand, Auckland, New Zealand
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3
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Xie L, Cao B, Chen Y, Wu J, Li F. Reconfiguration of response-set in task switching: Event-related potential evidence. Eur J Neurosci 2023; 57:796-808. [PMID: 36601787 DOI: 10.1111/ejn.15906] [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: 09/24/2021] [Accepted: 01/03/2023] [Indexed: 01/06/2023]
Abstract
In task switching, an interaction between task and response is often observed, with response repetition (RR) benefits in task-repeat trials and RR costs in task-switch trials. The theoretical accounts of the RR effect remain controversial, and neuroscience evidence is scarce. The present study utilized the event-related potentials (ERPs) method to explore the neural mechanism underlying the RR effect by adopting a cued task-switching paradigm. The ERP results revealed the interaction between task and response in the P3b time window, with a response switch positivity under task-repetition conditions and an RR positivity under task-switching conditions. In addition, there were RR positivity in the N2 irrespective of task transition and in the late component (LC, 550-600 ms) that only under the task repetition condition. On the individual level, the RR benefit positively correlated with the RR positivity in the LC, while the RR costs negatively correlated with RR positivity in the N2/P3 component. These results suggest that both response reconfiguration and episodic-retrieval make contributions to the RR effects, which were also discussed in terms of predictive model for a domain-general inference and learning of perceptual categories.
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Affiliation(s)
- Liufang Xie
- School of Psychology, Jiangxi Normal University, Nanchang, China.,School of Education Science, Nanning Normal University, Nanning, China
| | - Bihua Cao
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Yun Chen
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Jianxiao Wu
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Fuhong Li
- School of Psychology, Jiangxi Normal University, Nanchang, China
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4
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Wang R, Liu Y, Shi J, Peng B, Fei W, Bi L. Sound Target Detection Under Noisy Environment Using Brain-Computer Interface. IEEE Trans Neural Syst Rehabil Eng 2023; 31:229-237. [PMID: 36331633 DOI: 10.1109/tnsre.2022.3219595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
As an important means of environmental reconnaissance and regional security protection, sound target detection (STD) has been widely studied in the field of machine learning for a long time. Considering the shortcomings of the robustness and generalization performance of existing methods based on machine learning, we proposed a target detection method by an auditory brain-computer interface (BCI). We designed the experimental paradigm according to the actual application scenarios of STD, recorded the changes in Electroencephalogram (EEG) signals during the process of detecting target sound, and further extracted the features used to decode EEG signals through the analysis of neural representations, including Event-Related Potential (ERP) and Event-Related Spectral Perturbation (ERSP). Experimental results showed that the proposed method achieved good detection performance under noisy environment. As the first study of BCI applied to STD, this study shows the feasibility of this scheme in BCI and can serve as the foundation for future related applications.
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Zhong H, Wang J, Li H, Tian J, Fang J, Xu Y, Jiao W, Li G. Reorganization of Brain Functional Network during Task Switching before and after Mental Fatigue. SENSORS (BASEL, SWITZERLAND) 2022; 22:8036. [PMID: 36298387 PMCID: PMC9611295 DOI: 10.3390/s22208036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
Mental fatigue is a widely studied topic on account of its serious negative effects. But how the neural mechanism of task switching before and after mental fatigue remains a question. To this end, this study aims to use brain functional network features to explore the answer to this question. Specifically, task-state EEG signals were recorded from 20 participants. The tasks include a 400-s 2-back-task (2-BT), followed by a 6480-s of mental arithmetic task (MAT), and then a 400-s 2-BT. Network features and functional connections were extracted and analyzed based on the selected task switching states, referred to from Pre_2-BT to Pre_MAT before mental fatigue and from Post_MAT to Post_2-BT after mental fatigue. The results showed that mental fatigue has been successfully induced by long-term MAT based on the significant changes in network characteristics and the high classification accuracy of 98% obtained with Support Vector Machines (SVM) between Pre_2-BT and Post_2-BT. when the task switched from Pre_2-BT to Pre_MAT, delta and beta rhythms exhibited significant changes among all network features and the selected functional connections showed an enhanced trend. As for the task switched from Post_MAT to Post_2-BT, the network features and selected functional connectivity of beta rhythm were opposite to the trend of task switching before mental fatigue. Our findings provide new insights to understand the neural mechanism of the brain in the process of task switching and indicate that the network features and functional connections of beta rhythm can be used as neural markers for task switching before and after mental fatigue.
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Affiliation(s)
- Hongyang Zhong
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Jinhua 321004, China
- College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004, China
| | - Jie Wang
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Jinhua 321004, China
- College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua 321004, China
| | - Huayun Li
- College of Teacher Education, Zhejiang Normal University, Jinhua 321004, China
- Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University, Jinhua 321004, China
| | - Jinghong Tian
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Jinhua 321004, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Jiaqi Fang
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Jinhua 321004, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Yanting Xu
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Jinhua 321004, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Weidong Jiao
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Jinhua 321004, China
- College of Engineering, Zhejiang Normal University, Jinhua 321004, China
| | - Gang Li
- Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Provincial, Zhejiang Normal University, Jinhua 321004, China
- College of Mathematical Medicine, Zhejiang Normal University, Jinhua 321004, China
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6
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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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Moreira D, Azeredo A, Barros S, Barbosa F. Exploring psychopathy traits on intertemporal decision-making, neurophysiological correlates, and emotions on time estimation in community adults. Heliyon 2022; 8:e09792. [PMID: 35800242 PMCID: PMC9254348 DOI: 10.1016/j.heliyon.2022.e09792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 05/13/2022] [Accepted: 06/21/2022] [Indexed: 11/29/2022] Open
Abstract
There are certain characteristics of psychopathy that may be related to changes in intertemporal choices. Specifically, traits such as impulsivity or lack of inhibitory control may be associated with a more pronounced discounting function in intertemporal choices (IC) and, in turn, this function may be based on changes in the basic mechanisms of time estimation (TE). Therefore, this study aimed to examine potential differences in neurophysiological correlates, specifically through N1, P3, and LPP measurements, which may be related to TE and IC, examining their modulation according to psychopathic traits, different emotional conditions, and different decision-making conditions. This experimental study included 67 adult participants (48 women) from the northern region of Portugal, who performed an intertemporal decision-making task and, of those, 19 participants (16 women), with a mean age of 25 years (SD = 5.41) and a mean of 16 years of schooling (SD = 3.37) performed the time estimation task. The instruments/measures applied were MoCA, used as a neurocognitive screening tool; the Triarchic Psychopathy Measure (TriPM), a self-report instrument with 58 items that map the core features of psychopathy along three facets – boldness, meanness, and disinhibition – and considers them continuously distributed among the general population; intertemporal decision-making and time estimation tasks – for the time estimation task, the stimuli consisted of 45 color images extracted from the Nencki Affective Picture System (NAPS). In the TE task, there was an almost significant effect of disinhibition on the values of θ, with higher values on this variable associated with greater values of θ in the unpleasant emotional condition. In the IC task, there were no significant effects of any psychopathy measure on the values of the gains and losses ratios. In addition, the analysis of the neurophysiological correlates of the IC task did not reveal a main effect of the decision-making condition, nor effects of any psychopathy measure on the N1 and P3 amplitudes. The analysis of the neurophysiological correlates of the TE task revealed that higher meanness values are associated with smaller N1 amplitude in the pleasant emotional condition, whereas higher disinhibition values are associated with greater N1 amplitude in the pleasant emotional condition. Still in this task, higher disinhibition values were associated with a smaller LPP amplitude in the unpleasant emotional condition. The increase in the distribution of attention resources towards time and/or the increase in activation states, including those originated by responses to emotional stimuli, may be the main factor that alters the way impulsive individuals and, presumably, individuals with high psychopathy, consider time when making decisions. There are certain characteristics of psychopathy that may be related to changes in IC. Higher meanness values are associated with smaller N1 amplitude in the pleasant emotional condition (TE task). Higher disinhibition values are associated with greater N1 amplitude in the pleasant emotional condition (TE task). Higher disinhibition values were associated with a smaller LPP amplitude in the unpleasant emotional condition (TE task).
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Affiliation(s)
- Diana Moreira
- Faculty of Psychology and Educational Sciences, University of Porto, Portugal
- Observatory Permanent Violence and Crime (OPVC), University Fernando Pessoa, Portugal
- Institute of Psychology and Neuropsychology of Porto – IPNP Health, Portugal
- Centro de Solidariedade de Braga/Projecto Homem, Portugal
- Corresponding author.
| | - Andreia Azeredo
- Faculty of Psychology and Educational Sciences, University of Porto, Portugal
| | - Susana Barros
- Faculty of Psychology and Educational Sciences, University of Porto, Portugal
| | - Fernando Barbosa
- Faculty of Psychology and Educational Sciences, University of Porto, Portugal
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8
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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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9
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P3b Does Not Reflect Perceived Contrasts. eNeuro 2022; 9:ENEURO.0387-21.2022. [PMID: 35346962 PMCID: PMC8994538 DOI: 10.1523/eneuro.0387-21.2022] [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: 09/21/2021] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 12/02/2022] Open
Abstract
It has been shown that P3b is not a signature of perceptual awareness per se but is instead more closely associated with postperceptual processing (Cohen et al., 2020). Here, we seek to investigate whether human participants’ attentional states are different in the report and the no-report conditions. This difference in attentional states, if exists, may lead to degraded consciousness of the stimuli in the no-report condition, and it therefore remains unknown whether the disappearance of P3b is because of a lack of reportability or degraded consciousness. Results of our experiment 1 showed that participants did experience degraded contents of consciousness in the no-report condition. However, results of experiment 2 showed that the degraded contents of consciousness did not influence the amplitude of P3b. These findings strengthen the claim that P3b is not a signature of perceptual awareness but is associated with postperceptual processing.
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Barceló F. A Predictive Processing Account of Card Sorting: Fast Proactive and Reactive Frontoparietal Cortical Dynamics during Inference and Learning of Perceptual Categories. J Cogn Neurosci 2021; 33:1636-1656. [PMID: 34375413 DOI: 10.1162/jocn_a_01662] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
For decades, a common assumption in cognitive neuroscience has been that prefrontal executive control is mainly engaged during target detection [Posner, M. I., & Petersen, S. E. The attention system of the human brain. Annual Review of Neuroscience, 13, 25-42, 1990]. More recently, predictive processing theories of frontal function under the Bayesian brain hypothesis emphasize a key role of proactive control for anticipatory action selection (i.e., planning as active inference). Here, we review evidence of fast and widespread EEG and magnetoencephalographic fronto-temporo-parietal cortical activations elicited by feedback cues and target cards in the Wisconsin Card Sorting Test. This evidence is best interpreted when considering negative and positive feedback as predictive cues (i.e., sensory outcomes) for proactively updating beliefs about unknown perceptual categories. Such predictive cues inform posterior beliefs about high-level hidden categories governing subsequent response selection at target onset. Quite remarkably, these new views concur with Don Stuss' early findings concerning two broad classes of P300 cortical responses evoked by feedback cues and target cards in a computerized Wisconsin Card Sorting Test analogue. Stuss' discussion of those P300 responses-in terms of the resolution of uncertainty about response (policy) selection as well as the participants' expectancies for future perceptual or motor activities and their timing-was prescient of current predictive processing and active (Bayesian) inference theories. From these new premises, a domain-general frontoparietal cortical network is rapidly engaged during two temporarily distinct stages of inference and learning of perceptual categories that underwrite goal-directed card sorting behavior, and they each engage prefrontal executive functions in fundamentally distinct ways.
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11
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Song X, Zeng Y, Tong L, Shu J, Li H, Yan B. Neural mechanism for dynamic distractor processing during video target detection: Insights from time-varying networks in the cerebral cortex. Brain Res 2021; 1765:147502. [PMID: 33901488 DOI: 10.1016/j.brainres.2021.147502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/09/2021] [Accepted: 04/20/2021] [Indexed: 11/30/2022]
Abstract
In dynamic video target detection tasks, distractors may suddenly appear due to the dynamicity of the visual scene and the uncertainty of the visual information, strongly influencing participants' attention and target detection performance. Moreover, the neural mechanism that accounts for dynamic distractor processing remains unknown, which makes it difficult to compensate for in EEG-based video target detection. Here, cortical activities with high spatiotemporal resolution were reconstructed using the source localization method. The time-varying networks among important brain regions in different cognitive phases, including information integration, decision-making, and execution, were identified to investigate the neural mechanism of dynamic distractor processing. The experimental results indicated that dynamic distractors could induce a P3-like component. In addition, there was obvious asymmetry between the two hemispheres during video target detection. Specifically, the brain responses induced by dynamic distractors were weak and more concentrated in the left hemisphere during the information integration phase; left superior frontal gyrus activity related to preparation for the presence of distractors was critical, while the attention network and primary visual network, especially in the left visual pathway, were more active for dynamic targets during the decision-making phase. These findings provide guidance for designing an effective EEG-based model for dynamic video target detection.
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Affiliation(s)
- Xiyu Song
- The Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China.
| | - Ying Zeng
- The Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro Information, University of Electronic Science and Technology of China, Chengdu 610000, China.
| | - Li Tong
- The Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China.
| | - Jun Shu
- The Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China.
| | - Huimin Li
- The Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China; Software Technology School of Zhengzhou University, Zhengzhou 450001, China.
| | - Bin Yan
- The Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China.
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12
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Steiner GZ, Barry RJ, Wassink K, De Blasio FM, Fogarty JS, Cave AE, Love S, Armour M. Neuronal Correlates of Cognitive Control Are Altered in Women With Endometriosis and Chronic Pelvic Pain. Front Syst Neurosci 2020; 14:593581. [PMID: 33390910 PMCID: PMC7772245 DOI: 10.3389/fnsys.2020.593581] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 11/11/2020] [Indexed: 12/13/2022] Open
Abstract
Endometriosis is a debilitating women's health condition and is the most common cause of chronic pelvic pain. Impaired cognitive control is common in chronic pain conditions, however, it has not yet been investigated in endometriosis. The aim of this study was to explore the neuronal correlates of cognitive control in women with endometriosis. Using a cross-sectional study design with data collected at a single time-point, event-related potentials were elicited during a cued continuous performance test from 20 women with endometriosis (mean age = 28.5 ± 5.2 years) and 20 age- and gender-matched controls (mean age = 28.5 ± 5.2 years). Event-related potential components were extracted and P3 component amplitudes were derived with temporal principal components analysis. Behavioral and ERP outcomes were compared between groups and subjective pain severity was correlated with ERP component amplitudes. No significant behavioral differences were seen in task performance between the groups (all p > 0.094). Target P3b (all p < 0.034) and SW (all p < 0.040), and non-target early P3a (eP3a; all p < 0.023) and late P3a (lP3a; all p < 0.035) amplitudes were smaller for the endometriosis compared to the healthy control group. Lower non-target eP3a (p < 0.001), lP3a (p = 0.013), and SW (p = 0.019) amplitudes were correlated with higher pain severity scores. Findings suggest that endometriosis-associated chronic pelvic pain is linked to alterations in stimulus-response processing and inhibitory control networks, but not impaired behavioral performance, due to compensatory neuroplastic changes in overlapping cognitive control and pain networks.
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Affiliation(s)
- Genevieve Z Steiner
- NICM Health Research Institute and Translational Health Research Institute (THRI), Western Sydney University, Penrith, NSW, Australia.,Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Robert J Barry
- Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Katherine Wassink
- Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Frances M De Blasio
- Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Jack S Fogarty
- Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Adele E Cave
- NICM Health Research Institute and Translational Health Research Institute (THRI), Western Sydney University, Penrith, NSW, Australia
| | - Sapphire Love
- Brain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Mike Armour
- NICM Health Research Institute and Translational Health Research Institute (THRI), Western Sydney University, Penrith, NSW, Australia
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13
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Brydges CR, Barceló F, Nguyen AT, Fox AM. Fast fronto-parietal cortical dynamics of conflict detection and context updating in a flanker task. Cogn Neurodyn 2020; 14:795-814. [PMID: 33101532 DOI: 10.1007/s11571-020-09628-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 08/04/2020] [Accepted: 08/16/2020] [Indexed: 11/25/2022] Open
Abstract
Recent research has found that the traditional target P3 consists of a family of P3-like positivities that can be functionally and topographically dissociated from one another. The current study examined target N2 and P3-like subcomponents indexing conflict detection and context updating at low- and high-order levels in the neural hierarchy during cognitive control. Electroencephalographic signals were recorded from 45 young adults while they completed a hybrid go/nogo flanker task, and Residue Iteration Decomposition (RIDE) was applied to functionally dissociate these peaks. Analyses showed a stimulus-locked frontal N2 revealing early detection and fast perceptual categorization of nogo, congruent and incongruent trials, resulting in frontal P3-like activity elicited by nogo trials in the latency-variable RIDE cluster, and by incongruent trials in the response-locked cluster. The congruent trials did not elicit frontal P3-like activity. These findings suggest that behavioral incongruency effects are related to intermediate and later stages of motor response re-programming.
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Affiliation(s)
- Christopher R Brydges
- School of Psychological Science (M304), University of Western Australia, 35 Stirling Highway, Perth, WA 6009 Australia.,Department of Human Development and Family Studies, Colorado State University, Fort Collins, USA
| | - Francisco Barceló
- Laboratory of Neuropsychology, University of the Balearic Islands, Majorca, Spain
| | - An T Nguyen
- School of Psychological Science (M304), University of Western Australia, 35 Stirling Highway, Perth, WA 6009 Australia.,Neurocognitive Development Unit, School of Psychological Science, University of Western Australia, Perth, Australia
| | - Allison M Fox
- School of Psychological Science (M304), University of Western Australia, 35 Stirling Highway, Perth, WA 6009 Australia.,Neurocognitive Development Unit, School of Psychological Science, University of Western Australia, Perth, Australia
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14
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Song X, Yan B, Tong L, Shu J, Zeng Y. Asynchronous Video Target Detection Based on Single-Trial EEG Signals. IEEE Trans Neural Syst Rehabil Eng 2020; 28:1931-1943. [PMID: 32746322 DOI: 10.1109/tnsre.2020.3009978] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Event-related potentials (ERPs) are widely used in brain-computer interface (BCI) systems to detect sensitive targets. However, asynchronous BCI systems based on video-target-evoked ERPs can pose a challenge in real-world applications due to the absence of an explicit target onset time and the time jitter of the detection latency. To address this challenge, we developed an asynchronous detection framework for video target detection. In this framework, an ERP alignment method based on the principle of iterative minimum distance square error (MDSE) was proposed for constructing an ERP template and aligning signals on the same base to compensate for possible time jitter. Using this method, ERP response characteristics induced by video targets were estimated. Online video target detection results indicated that alignment methods reduced the false alarm more effectively than non-alignment methods. The false alarm of the proposed Aligned-MDSE method was one-third lower than that of existing alignment methods under the same right hit level using limited individual samples. Furthermore, cross-subject results indicated that untrained subjects could directly perform online detection tasks and achieve excellent performance by a general model trained from more than 10 subjects. The proposed asynchronous video target detection framework can thus have a significant impact on real-world BCI applications.
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15
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Kopp B, Steinke A, Visalli A. Cognitive flexibility and N2/P3 event-related brain potentials. Sci Rep 2020; 10:9859. [PMID: 32555267 PMCID: PMC7299939 DOI: 10.1038/s41598-020-66781-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 05/27/2020] [Indexed: 12/04/2022] Open
Abstract
Task switching is often considered for evaluating limitations of cognitive flexibility. Switch costs are behavioural indices of limited cognitive flexibility, and switch costs may be decomposable into stimulus- and response-related fractions, as conjectured by the domain hypothesis of cognitive flexibility. According to the domain hypothesis, there exist separable stimulus- and response-related neural networks for cognitive flexibility, which should be discernible as distinct event-related potentials (ERPs). The present card-matching study allowed isolating stimulus- and response-related switch costs, while measuring ERPs evoked by task cues and target stimuli with a focus on the target-locked N2/P3 complex. Behavioural data revealed that both stimulus-task and response-task bindings contribute to switch costs. Cue-locked ERPs yielded larger anterior negativity/posterior positivity in response to switch cues compared to repeat cues. Target-locked ERPs revealed separable ERP correlates of stimulus- and response-related switch costs. P3 waveforms with fronto-central scalp distributions emerged as a corollary of stimulus-related switch costs. Fronto-centrally distributed N2 waveforms occurred when stimulus-task and response-task bindings contributed jointly to switch costs. The reported N2/P3 ERP data are commensurate with the domain hypothesis according to which there exist separable stimulus- and response-related neural networks for cognitive flexibility.
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Affiliation(s)
- Bruno Kopp
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
| | - Alexander Steinke
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Antonino Visalli
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
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16
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Towards a Pragmatic Approach to a Psychophysiological Unit of Analysis for Mental and Brain Disorders: An EEG-Copeia for Neurofeedback. Appl Psychophysiol Biofeedback 2020; 44:151-172. [PMID: 31098793 DOI: 10.1007/s10484-019-09440-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This article proposes what we call an "EEG-Copeia" for neurofeedback, like the "Pharmacopeia" for psychopharmacology. This paper proposes to define an "EEG-Copeia" as an organized list of scientifically validated EEG markers, characterized by a specific association with an identified cognitive process, that define a psychophysiological unit of analysis useful for mental or brain disorder evaluation and treatment. A characteristic of EEG neurofeedback for mental and brain disorders is that it targets a EEG markers related to a supposed cognitive process, whereas conventional treatments target clinical manifestations. This could explain why EEG neurofeedback studies encounter difficulty in achieving reproducibility and validation. The present paper suggests that a first step to optimize EEG neurofeedback protocols and future research is to target a valid EEG marker. The specificity of the cognitive skills trained and learned during real time feedback of the EEG marker could be enhanced and both the reliability of neurofeedback training and the therapeutic impact optimized. However, several of the most well-known EEG markers have seldom been applied for neurofeedback. Moreover, we lack a reliable and valid EEG targets library for further RCT to evaluate the efficacy of neurofeedback in mental and brain disorders. With the present manuscript, our aim is to foster dialogues between cognitive neuroscience and EEG neurofeedback according to a psychophysiological perspective. The primary objective of this review was to identify the most robust EEG target. EEG markers linked with one or several clearly identified cognitive-related processes will be identified. The secondary objective was to organize these EEG markers and related cognitive process in a psychophysiological unit of analysis matrix inspired by the Research Domain Criteria (RDoC) project.
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17
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Peng S, Xuan B, Li P. Fearful faces modulate cognitive control under varying levels of uncertainty: An event-related potential study. Brain Cogn 2020; 141:105550. [PMID: 32087426 DOI: 10.1016/j.bandc.2020.105550] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 01/05/2020] [Accepted: 02/14/2020] [Indexed: 12/16/2022]
Abstract
Cognitive control can reduce uncertainty, but few studies have investigated temporal dynamics of the flexible allocation of resources under varying levels of uncertainty. We used a revised majority function task with emotional faces and event-related potentials to investigate this process. The task incorporated different ratios of face orientation to quantify uncertainty. Participants performed slower in high uncertainty than in other levels. Under low uncertainty, participants showed greater amplitudes of frontal N200 and late frontal wave to neutral faces than fearful faces. Parietal P300 amplitudes decreased from low uncertainty to high uncertainty, and fearful faces elicited greater P300 amplitudes than neutral faces under all levels of uncertainty. These results suggest that emotion and uncertainty interacted in the frontal cortex during both early and late stages, while no interaction existed in the parietal cortex during the late stage. The interference of fearful faces is lessened by increasing cognitive control under high uncertainty in the frontal cortex, suggesting that humans possess the ability to flexibly allocate mental resources in the temporal domain. Our findings provide evidence to support the fronto-parietal network hypothesis of cognitive control in a novel perspective of uncertainty.
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Affiliation(s)
- Suhao Peng
- School of Educational Science, Anhui Normal University, Wuhu 241000, China
| | - Bin Xuan
- School of Educational Science, Anhui Normal University, Wuhu 241000, China.
| | - Peng Li
- School of Educational Science, Anhui Normal University, Wuhu 241000, China
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18
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Fogarty JS, Barry RJ, Steiner GZ. Auditory stimulus- and response-locked ERP components and behavior. Psychophysiology 2020; 57:e13538. [PMID: 32010995 DOI: 10.1111/psyp.13538] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 12/18/2019] [Accepted: 01/09/2020] [Indexed: 01/24/2023]
Abstract
To clarify the functional significance of Go event-related potential (ERP) components, this study aimed to explore stimulus- and response-locked ERP averaging effects on the series of ERP components elicited during an auditory Go/NoGo task. Go stimulus- and response-locked ERP data from 126 healthy young adults (Mage = 20.3, SD = 2.8 years, 83 female) were decomposed using temporal principal components analysis (PCA). The extracted components were then identified as stimulus-specific, response-specific, or common to both stimulus- and response-locked data. MANOVAs were then used to test for stimulus- versus response-locked averaging effects on common component amplitudes to determine their primary functional significance (i.e., stimulus- or response-related). Go stimulus- and response-related component amplitudes were then entered into stepwise linear regressions predicting the reaction time (RT), RT variability, and omission errors. Nine ERP components were extracted from the stimulus- and response-locked data, including N1-1, processing negativity (PN), P2, response-related N2 (RN2), motor potential (MP), P3b, P420, and two slow wave components; SW1 and SW2. N1-1, PN, and P2 were stimulus-specific, whereas, RN2, MP, and P420 were response-specific; P3b, SW1, and SW2 were common to both data sets. P3b, SW1, and SW2 were significantly larger in the response-locked data, indicating that they were primarily response-related. RT, RT variability, and omission errors were predicted by various stimulus- and response-related components, providing further insight into ERP markers of auditory information processing and cognitive control. Further, the results of this study indicate the utility of quantifying some common components (i.e., Go P3b, SW1, and SW2) using the response-locked ERP.
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Affiliation(s)
- Jack S Fogarty
- Brain & Behaviour Research Institute, School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Robert J Barry
- Brain & Behaviour Research Institute, School of Psychology, University of Wollongong, Wollongong, NSW, Australia
| | - Genevieve Z Steiner
- Brain & Behaviour Research Institute, School of Psychology, University of Wollongong, Wollongong, NSW, Australia.,NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia.,Translational Health Research Institute (THRI), Western Sydney University, Penrith, NSW, Australia
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19
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Nikolin S, Martin D, Loo CK, Iacoviello BM, Boonstra TW. Assessing neurophysiological changes associated with combined transcranial direct current stimulation and cognitive-emotional training for treatment-resistant depression. Eur J Neurosci 2020; 51:2119-2133. [PMID: 31859397 DOI: 10.1111/ejn.14656] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 11/20/2019] [Accepted: 12/11/2019] [Indexed: 12/15/2022]
Abstract
Transcranial direct current stimulation (tDCS), a form of non-invasive brain stimulation, is a promising treatment for depression. Recent research suggests that tDCS efficacy can be augmented using concurrent cognitive-emotional training (CET). However, the neurophysiological changes associated with this combined intervention remain to be elucidated. We therefore examined the effects of tDCS combined with CET using electroencephalography (EEG). A total of 20 participants with treatment-resistant depression took part in this open-label study and received 18 sessions over 6 weeks of tDCS and concurrent CET. Resting-state and task-related EEG during a 3-back working memory task were acquired at baseline and immediately following the treatment course. Results showed an improvement in mood and working memory accuracy, but not response time, following the intervention. We did not find significant effects of the intervention on resting-state power spectral density (frontal theta and alpha asymmetry), time-frequency power (alpha event-related desynchronisation and theta event-related synchronisation) or event-related potentials (P2 and P3 components). We therefore identified little evidence of neurophysiological changes associated with treatment using tDCS and concurrent CET, despite significant improvements in mood and near-transfer effects of cognitive training to working memory accuracy. Further research incorporating a sham-controlled group may be necessary to identify the neurophysiological effects of the intervention.
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Affiliation(s)
- Stevan Nikolin
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Black Dog Institute, Sydney, NSW, Australia
| | - Donel Martin
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Black Dog Institute, Sydney, NSW, Australia
| | - Colleen K Loo
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Black Dog Institute, Sydney, NSW, Australia.,St. George Hospital, Sydney, NSW, Australia
| | - Brian M Iacoviello
- Click Therapeutics, Inc., New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tjeerd W Boonstra
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
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20
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Han J, Xie L, Cao B, Li J, Chen Y, Li F. More abstract, more difficult to shift: Behavior and electrophysiological evidence. Behav Brain Res 2019; 362:273-278. [DOI: 10.1016/j.bbr.2019.01.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 12/21/2018] [Accepted: 01/03/2019] [Indexed: 10/27/2022]
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21
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Cooper PS, Karayanidis F, McKewen M, McLellan-Hall S, Wong ASW, Skippen P, Cavanagh JF. Frontal theta predicts specific cognitive control-induced behavioural changes beyond general reaction time slowing. Neuroimage 2019; 189:130-140. [PMID: 30639331 DOI: 10.1016/j.neuroimage.2019.01.022] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 11/19/2018] [Accepted: 01/09/2019] [Indexed: 01/08/2023] Open
Abstract
Investigations into the neurophysiological underpinnings of control suggest that frontal theta activity is increased with the need for control. However, these studies typically show this link by reporting associations between increased theta and RT slowing - a process that is contemporaneous with cognitive control but does not strictly reflect the specific use of control. In this study, we assessed frontal theta responses that underpinned the switch cost in task switching - a specific index of cognitive control that does not rely exclusively on RT slowing. Here, we utilised a single-trial regression approach to assess 1) how cognitive control demands beyond simple RT slowing were linked to midfrontal theta and 2) whether midfrontal theta effects remained stable over time. In a large cohort that included a longitudinal subsample, we found that midfrontal theta was modulated by switch costs, with enhanced theta power when preparing to switch vs. repeating a task. These effects were reliable after a two-year interval (Cronbach's α.39-0.74). In contrast, we found that trial-by-trial modulations of midfrontal theta power predicted the size of the switch cost - so that switch trials with increased theta produced smaller switch costs. Interestingly, these relationships between theta and behaviour were less stable over time (Cronbach's α 0-0.61), with participants first using both delta and theta bands to influence behaviour whereas after two years only theta associations with behaviour remained. Together, these findings suggest midfrontal theta supports the need for control beyond simple RT slowing and reveal that midfrontal theta effects remain relatively stable over time.
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Affiliation(s)
- Patrick S Cooper
- Functional Neuroimaging Laboratory, School of Psychology, University of Newcastle, Australia; Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Australia; Priority Research Centre for Brain and Mental Health, University of Newcastle, Australia; Hunter Medical Research Institute, Newcastle, Australia.
| | - Frini Karayanidis
- Functional Neuroimaging Laboratory, School of Psychology, University of Newcastle, Australia; Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Australia; Hunter Medical Research Institute, Newcastle, Australia
| | - Montana McKewen
- Functional Neuroimaging Laboratory, School of Psychology, University of Newcastle, Australia; Priority Research Centre for Brain and Mental Health, University of Newcastle, Australia; Hunter Medical Research Institute, Newcastle, Australia
| | - Samuel McLellan-Hall
- Functional Neuroimaging Laboratory, School of Psychology, University of Newcastle, Australia
| | - Aaron S W Wong
- Functional Neuroimaging Laboratory, School of Psychology, University of Newcastle, Australia; Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Australia; Hunter Medical Research Institute, Newcastle, Australia
| | - Patrick Skippen
- Functional Neuroimaging Laboratory, School of Psychology, University of Newcastle, Australia; Priority Research Centre for Brain and Mental Health, University of Newcastle, Australia; Hunter Medical Research Institute, Newcastle, Australia
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22
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López ME, Pusil S, Pereda E, Maestú F, Barceló F. Dynamic low frequency EEG phase synchronization patterns during proactive control of task switching. Neuroimage 2018; 186:70-82. [PMID: 30394328 DOI: 10.1016/j.neuroimage.2018.10.068] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Revised: 10/04/2018] [Accepted: 10/26/2018] [Indexed: 10/28/2022] Open
Abstract
Cognitive flexibility is critical for humans living in complex societies with ever-growing multitasking demands. Yet the low-frequency neural dynamics of distinct task-specific and domain-general mechanisms sub-serving mental flexibility are still ill-defined. Here we estimated phase electroencephalogram synchronization by using inter-trial phase coherence (ITPC) at the source space while twenty six young participants were intermittently cued to switch or repeat their perceptual categorization rule of Gabor gratings varying in color and thickness (switch task). Therefore, the aim of this study was to examine whether a proactive control is associated with connectivity only in the frontoparietal theta network, or also involves distinct neural connectivity within the delta band, as distinct neural signatures while preparing to switch or repeat a task set, respectively. To this end, we focused the analysis on late-latencies (from 500 to 800 msec post-cue onset), since they are known to be associated with top-down cognitive control processes. We confirmed that proactive control during a task switch was associated with frontoparietal theta connectivity. But importantly, we also found a distinct role of delta band oscillatory synchronization in proactive control, engaging more posterior frontotemporal regions as opposed to frontoparietal theta connectivity. Additionally, we built a regression model by using the ITPC results in delta and theta bands as predictors, and the behavioral accuracy in the switch task as the criterion, obtaining significant results for both frequency bands. All these findings support the existence of distinct proactive cognitive control processes related to functionally distinct though highly complementary theta and delta frontoparietal and temporoparietal oscillatory networks at late-latency temporal scales.
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Affiliation(s)
- María Eugenia López
- Department of Experimental Psychology, Psychological Processes and Speech Therapy, Universidad Complutense of Madrid, Spain; Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology (CTB), Madrid, Spain; Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain.
| | - Sandra Pusil
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology (CTB), Madrid, Spain; Laboratory of Neuropsychology, University of the Balearic Islands, Spain
| | - Ernesto Pereda
- Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology (CTB), Madrid, Spain; Electrical Engineering and Bioengineering Group, Department of Industrial Engineering & IUNE, Universidad de La Laguna, Tenerife, Spain
| | - Fernando Maestú
- Department of Experimental Psychology, Psychological Processes and Speech Therapy, Universidad Complutense of Madrid, Spain; Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology (CTB), Madrid, Spain; Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Francisco Barceló
- Laboratory of Neuropsychology, University of the Balearic Islands, Spain.
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23
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Gajewski PD, Ferdinand NK, Kray J, Falkenstein M. Understanding sources of adult age differences in task switching: Evidence from behavioral and ERP studies. Neurosci Biobehav Rev 2018; 92:255-275. [DOI: 10.1016/j.neubiorev.2018.05.029] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Revised: 05/18/2018] [Accepted: 05/28/2018] [Indexed: 01/14/2023]
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