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Chen DY, Wang Q, Yang NB, Qin XJ, Li H, Hou WP, Ding YS, Hou WW, Wang Y, Zhou FC, Wang CY. The deficient cue monitoring and the facilitating effect of prosocial intention on prospective memory in patients with schizophrenia spectrum disorders. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:33. [PMID: 37221251 DOI: 10.1038/s41537-023-00363-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 04/24/2023] [Indexed: 05/25/2023]
Abstract
The study aimed to investigate the cognitive processing of prospective memory (PM) in patients with schizophrenia spectrum disorders (SSDs) by using an eye-tracking paradigm. In addition, the facilitating effects of prosocial intention (the desire to help others) on PM in SSDs were also examined. In phase 1, 26 patients (group1) and 25 healthy controls (HCs) were compared in an eye-tracking PM paradigm in terms of the PM accuracy and eye-tracking indices. In phase 2, 21 more patients (group2) were recruited, and a prosocial intention was introduced in the eye-tracking PM paradigm. Their PM accuracy and eye-tracking indices were compared with those in group1. The PM cue monitoring was indicated by the total fixation counts and fixation time on distractor words. In phase 1, group1 showed lower PM accuracy, fewer fixation counts and less fixation time on distractor words than HCs. In phase 2, group2 (with prosocial intention) performed significantly better than group1 (with typical instruction) on both PM accuracy and fixation time on distractor words. In both groups of SSDs, the PM accuracy was significantly correlated with both the fixation counts and the fixation time of distractor words. After controlling for the cue monitoring indices, the difference in PM accuracy remained significant between group1 and HCs but disappeared between group1 and group2. The cue monitoring deficit contributes to the PM impairment in SSDs. The facilitating effect of prosocial intention disappears after the control of cue monitoring, also indicating its critical role in PM.
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Affiliation(s)
- Dong-Yang Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Qi Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
- Beijing Fengtai Mental Health Center, Beijing, China
| | - Ning-Bo Yang
- First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Xiao-Jing Qin
- Neuropsychology and Applied Cognitive Neuroscience Lab, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Guangxi Medical University, Nanning, China
| | - Hang Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Wen-Peng Hou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Yu-Shen Ding
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Wei-Wei Hou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Lab, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.
| | - Fu-Chun Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China.
| | - Chuan-Yue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, China
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Abstract
Social dominance is an important feature of social life. Dominance has been proposed to be one of two trait dimensions underpinning social judgments of human faces. Yet, the neural bases of the ability to identify different dominance levels in others based on intrinsically facial cues remains poorly understood. Here, we used event-related potentials to determine the temporal dynamics of facial dominance evaluation based on facial features signaling physical strength/weakness in humans. Twenty-seven participants performed a dominance perception task where they passively viewed faces with different dominance levels. Dominance levels did not modulate an early component of face processing, known as the N170 component, but did modulate the late positive potential (LPP) component. These findings indicate that participants inferred dominance levels at a late stage of face evaluation. Furthermore, the highest level of dominant faces and the lowest level of submissive faces both elicited higher LPP amplitudes than faces with a neutral dominance level. Taken together, the present study provides new insights regarding the dynamics of the neurocognitive processes underlying facial dominance evaluation.
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Optimal Number of Clusters by Measuring Similarity Among Topographies for Spatio-Temporal ERP Analysis. Brain Topogr 2022; 35:537-557. [DOI: 10.1007/s10548-022-00903-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 05/11/2022] [Indexed: 11/26/2022]
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Ji L, Zhao Q, Zhang Y, Wan J, Yu Y, Zhao J, Li X. Event-Related Brain Potential Correlates of Event-Based Prospective Memory in Children With Learning Disability. Front Psychiatry 2022; 13:898536. [PMID: 35815023 PMCID: PMC9256924 DOI: 10.3389/fpsyt.2022.898536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/25/2022] [Indexed: 11/13/2022] Open
Abstract
Prospective memory (PM) has been reported to be impaired in children with learning disabilities (LD), but few studies have examined the underlying neural mechanism of this impairment. To address this issue, the present study applied ERP technique to explore the difference of event-based prospective memory (EBPM) in 21 children with LD and 20 non-LD children with double task paradigm. Results from behavioral data showed that LD children exhibited lower accuracy than non-LD children. The ERP results showed that the two groups displayed significant difference in the ERP components, with longer N300 latency in LD group, but there was no obvious difference found in the prospective positivity component. The present findings seem to indicate that the poor performance of LD children on PM task might be result from deficits in PM cues detection. These results provided evidence for the existence of altered PM processing in LD children, which was characterized by a selective deficit in cues detection of PM. Therefore, these findings shed new light on the neurophysiological processes underlying PM in children with LD.
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Affiliation(s)
- Lili Ji
- Institute of Behavior and Psychology, School of Psychology, Henan University, Kaifeng, China
| | - Qi Zhao
- Department of Psychology, Faculty of Social Sciences, University of Macau, Macau, Macau SAR, China
- Center for Cognitive and Brain Sciences, University of Macau, Macau, Macau SAR, China
| | - Yafei Zhang
- Institute of Behavior and Psychology, School of Psychology, Henan University, Kaifeng, China
| | - Jiaojiao Wan
- Institute of Behavior and Psychology, School of Psychology, Henan University, Kaifeng, China
| | - Yifan Yu
- Institute of Behavior and Psychology, School of Psychology, Henan University, Kaifeng, China
| | - Junfeng Zhao
- Institute of Behavior and Psychology, School of Psychology, Henan University, Kaifeng, China
| | - Xiaoming Li
- Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, United States
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Mahini R, Li Y, Ding W, Fu R, Ristaniemi T, Nandi AK, Chen G, Cong F. Determination of the Time Window of Event-Related Potential Using Multiple-Set Consensus Clustering. Front Neurosci 2020; 14:521595. [PMID: 33192239 PMCID: PMC7610058 DOI: 10.3389/fnins.2020.521595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 09/09/2020] [Indexed: 01/27/2023] Open
Abstract
Clustering is a promising tool for grouping the sequence of similar time-points aimed to identify the attention blocks in spatiotemporal event-related potentials (ERPs) analysis. It is most likely to elicit the appropriate time window for ERP of interest if a suitable clustering method is applied to spatiotemporal ERP. However, how to reliably estimate a proper time window from entire individual subjects' data is still challenging. In this study, we developed a novel multiset consensus clustering method in which several clustering results of multiple subjects were combined to retrieve the best fitted clustering for all the subjects within a group. Then, the obtained clustering was processed by a newly proposed time-window detection method to determine the most suitable time window for identifying the ERP of interest in each condition/group. Applying the proposed method to the simulated ERP data and real data indicated that the brain responses from the individual subjects can be collected to determine a reliable time window for different conditions/groups. Our results revealed more precise time windows to identify N2 and P3 components in the simulated data compared to the state-of-the-art methods. Additionally, our proposed method achieved more robust performance and outperformed statistical analysis results in the real data for N300 and prospective positivity components. To conclude, the proposed method successfully estimates the time window for ERP of interest by processing the individual data, offering new venues for spatiotemporal ERP processing.
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Affiliation(s)
- Reza Mahini
- School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Yansong Li
- Reward, Competition and Social Neuroscience Lab, Department of Psychology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, China
- Institute for Brain Sciences, Nanjing University, Nanjing, China
| | - Weiyan Ding
- Department of Psychiatry, Chinese PLA 967th Hospital, Dalian, China
| | - Rao Fu
- School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China
| | - Tapani Ristaniemi
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Asoke K. Nandi
- Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, United Kingdom
| | - Guoliang Chen
- Department of Psychiatry, Chinese PLA 967th Hospital, Dalian, China
| | - Fengyu Cong
- School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
- School of Artificial Intelligence, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China
- Key Laboratory of Integrated Circuit and Biomedical Electronic System, Liaoning Province, Dalian University of Technology, Dalian, China
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Chen G, Li Y, Dong Z, Wang R, Zhao D, Obeso I, Yu S. Response inhibition alterations in migraine: evidence from event-related potentials and evoked oscillations. J Headache Pain 2020; 21:119. [PMID: 33008328 PMCID: PMC7531083 DOI: 10.1186/s10194-020-01187-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 09/24/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Migraine is characterized by a hypersensitivity to environmental stimulation which climaxes during headache attacks but persists during attack-free period. Despite ongoing debates about the nature of the mechanisms giving rise to this abnormality, the presence of deficient inhibitory cortical processes has been proposed to be one possible mechanism underlying its pathogenesis. Empirical evidence supporting this claim is mainly based on previous accounts showing functional cortical disexcitability in the sensory domain. Considering that a general inhibitory control process can play an important role across early to later stage of information processing, this may indicate the important role other dimensions of inhibitory control can play in migraine disability. The present study examined the pathophysiological features of inhibitory control that takes place during suppression of prepotent responses in migraineurs. METHODS Twenty-two patients with migraine without aura (mean age = 30.86 ± 5.69 years; 19 females) during the interictal period and 25 healthy controls (mean age = 30.24 ± 3.52 years; 18 females) were recruited. We used a stop signal task in combination with event-related potentials (ERPs) to examine participants' neural activity supporting response inhibition. RESULTS Behaviorally, migraineurs exhibited prolonged stop signal reaction times relative to healthy controls. At the neural level, the amplitude of the stop-N2 over fronto-central, central and centro-parietal scalp regions, a component of the ERPs related to conflict monitoring during early, non-motoric stages of inhibition, was significantly increased in migraineurs. Meanwhile, the amplitude of the stop-P3 over central and centro-parietal scalp regions, a component of the ERPs reflecting late-stage inhibition of the motor system and cognitive evaluation of motor inhibition, was also significantly increased in migraineurs. Ultimately, our time-frequency analysis further revealed increased delta activity in migraineurs. CONCLUSIONS Consistent with the theory that alterations in cognitive cortical processes are a key signature of migraine, our findings revealed an abnormal state of suppressing prepotent responses in migraineurs, which can be attributed to cortical disexcitability of the pre-frontal executive network and centro-parietal sensorimotor network. These novel findings extend to show the existence of dysfunctional inhibition control that occurs during suppression of prepotent responses in migraneurs.
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Affiliation(s)
- Guoliang Chen
- Medical School of Chinese PLA, Beijing, China
- Department of Neurology, The first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Department of Psychiatry, The 967th Hospital of Joint Logistic Support Force of PLA, Dalian, China
| | - Yansong Li
- Reward, Competition and Social Neuroscience Lab, Department of Psychology, School of Social and Behavioral Sciences, 210023, Nanjing, China
- Institute for Brain Sciences, Nanjing University, 210023, Nanjing, China
| | - Zhao Dong
- Medical School of Chinese PLA, Beijing, China
- Department of Neurology, The first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Rongfei Wang
- Medical School of Chinese PLA, Beijing, China
- Department of Neurology, The first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Dengfa Zhao
- Medical School of Chinese PLA, Beijing, China
- Department of Neurology, The first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Ignacio Obeso
- HM Hospitales - Centro Integral en Neurociencias HM CINAC, Móstoles, Madrid, Spain
| | - Shengyuan Yu
- Medical School of Chinese PLA, Beijing, China.
- Department of Neurology, The first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
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Prospective memory in schizophrenia: A meta-analysis of comparative studies. Schizophr Res 2019; 212:62-71. [PMID: 31447355 DOI: 10.1016/j.schres.2019.08.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 06/17/2019] [Accepted: 08/05/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Impairment of prospective memory (PM) in schizophrenia has gained increasing attention. This meta-analysis systematically examined PM impairment in schizophrenia. METHODS Both English (PubMed, PsycINFO, EMBASE, and Cochrane Library) and Chinese (WanFang, Chinese Biomedical and China Journal Net databases) databases were systematically searched from their inception until August 14, 2017. Case-control studies of PM in schizophrenia were included. Standardized mean differences (SMDs) and their 95% confidence interval (CI) were calculated using the random-effects model. RESULTS Twenty-nine case-control studies (n = 2492) were included in the analyses. The overall and three subtypes of PM were compared between patients with schizophrenia (n = 1284) and healthy controls (n = 1208). Compared to healthy controls, patients performed significantly poorer in overall (SMD = -1.125), time-based (SMD = -1.155), event-based (SMD = -1.068), and activity-based PM (SMD = -0.563). Subgroup analyses revealed significant differences between older and younger patients (SMD = -1.398 vs. -0.763), higher male predominance and no sex predominance (SMD = -1.679 vs. -0.800), lower and higher education level (SMD = -1.373 vs.-0.637), chronic and first-episode patients (SMD = -1.237 vs. -0.641) and between eco-valid and dual-task laboratory measurements (SMD = -1.542 vs. -0.725) regarding overall PM. Meta-regression analysis showed that higher negative symptom score was significantly associated with more severe overall PM impairment in patients (P = 0.022). CONCLUSIONS In this meta-analysis the overall PM and all its subtypes, particularly the time-based PM, were significantly impaired in schizophrenia.
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Abstract
Brain–computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at home. In this study, we developed an online BCI based on scalp electroencephalography (EEG) to control home appliances. The BCI users controlled TV channels, a digital door-lock system, and an electric light system in an unshielded environment. The BCI was designed to harness P300 and N200 components of event-related potentials (ERPs). On average, the BCI users could control TV channels with an accuracy of 83.0% ± 17.9%, the digital door-lock with 78.7% ± 16.2% accuracy, and the light with 80.0% ± 15.6% accuracy, respectively. Our study demonstrates a feasibility to control multiple home appliances using EEG-based BCIs.
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Henry JD, Moore P, Terrett G, Rendell PG, Scott JG. A comparison of different types of prospective memory reminders in schizophrenia. Schizophr Res 2019; 210:89-93. [PMID: 31227206 DOI: 10.1016/j.schres.2019.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 06/05/2019] [Accepted: 06/05/2019] [Indexed: 10/26/2022]
Abstract
People with schizophrenia often experience difficulties with prospective memory (PM), but few empirical studies have directly compared the effectiveness of different types of reminders in remediating these difficulties. In the present study, two distinct types of reminders were compared to a standard (no reminder) condition in outpatients with schizophrenia (n = 30) and controls (n = 30). Using an adapted version of the well-validated laboratory PM measure, Virtual Week, participants were asked to complete three different conditions (counterbalanced), in which they were (i) provided with access to self-initiated reminders, (ii) provided with experimenter-initiated reminders, and (iii) completed a standard (no-reminder) condition. Both groups benefited from the provision of reminders, but self-initiated reminders were the most beneficial, particularly for time-based tasks. These data align with a broader literature that shows PM can be enhanced by the use of reminders. However, it extends this literature in an important way by showing that these benefits are equivalent for people with schizophrenia, and may be greatest where access to reminders is self-initiated. The implications of these data for the development of rehabilitative interventions are discussed.
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Affiliation(s)
- Julie D Henry
- School of Psychology, University of Queensland, Brisbane, Australia.
| | - Phillipa Moore
- School of Psychology, University of Queensland, Brisbane, Australia
| | - Gill Terrett
- Australian Catholic University, Melbourne, Australia
| | | | - James G Scott
- The Queensland Centre for Mental Health Research, The University of Queensland Faculty of Medicine, Queensland, Australia; Metro North Mental Health Royal Brisbane and Women's Hospital, Queensland, Australia
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Wang Y, Chan RCK, Shum DHK. Schizophrenia and prospective memory impairments: a review. Clin Neuropsychol 2017; 32:836-857. [DOI: 10.1080/13854046.2017.1406144] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Raymond C. K. Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - David H. K. Shum
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- School of Applied Psychology, Griffith University, Gold Coast, Australia
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Australia
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Chen G, Ding W, Zhang L, Cui H, Jiang Z, Li Y. Neurophysiological Evidence of Compensatory Brain Mechanisms Underlying Attentional-Related Processes in Symptomatically Remitted Patients with Schizophrenia. Front Psychol 2017; 8:550. [PMID: 28473782 PMCID: PMC5397525 DOI: 10.3389/fpsyg.2017.00550] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Accepted: 03/24/2017] [Indexed: 11/13/2022] Open
Abstract
A recent electrophysiological study suggests existing compensatory brain activity as a mechanism for functional recovery of visual attention detection (the capacity for detecting external cues) in symptomatically remitted schizophrenia patients. Despite such evidence, little is known about other aspects of attentional-related processes in schizophrenia during clinical remission, such as their capacity to concentrate on the task at hands without being interfered by distracting information. To this end, we recorded event-related brain potentials (ERPs) from 20 symptomatically remitted schizophrenia patients and 20 healthy controls while they engaged in a classic Stroop task. Symptomatically remitted patients showed comparable Stroop interference to healthy controls, indicating a degree of functional recovery of such a capacity in these patients. On the neural level, the N450 over the fronto-central and central regions, a component of the ERPs related to conflict detection, was found across both groups, although patients presented a reduced N450 relative to healthy controls. By contrast, the amplitude of the sustained potential (SP) (600-800 ms) over the parieto-central and parietal regions, a component of the ERPs related to conflict resolution, was significantly increased in patients relative to healthy controls. Furthermore, such increased SP amplitude correlated positively with improved behavioral accuracy in symptomatically remitted patients with schizophrenia. These findings reveal that symptomatically remitted patients with schizophrenia increasingly recruited the parietal activity involving successful conflict resolution to offset reduced conflict detection. Therefore, this provides further insight into compensatory mechanisms potentially involving a degree of functional recovery of attentional-related processes in schizophrenia during clinical remission.
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Affiliation(s)
- Guoliang Chen
- 215th Clinical Division, 406th Hospital of PLADalian, China
| | - Weiyan Ding
- 215th Clinical Division, 406th Hospital of PLADalian, China
| | - Lei Zhang
- 215th Clinical Division, 406th Hospital of PLADalian, China
| | - Hong Cui
- Department of Medical Psychology, Military General Hospital of PLABeijing, China
| | | | - Yansong Li
- Reward, Competition and Decision Neuroscience Team, Department of Psychology, School of Social and Behavioral Sciences, Nanjing UniversityNanjing, China.,The Institute of Advanced Studies in Humanities and Social Sciences, Nanjing UniversityNanjing, China.,The Research Center for Social and Behavioral Sciences of Jiangsu ProvinceNanjing, China
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