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Chang YH, Chen HJ, Barquero C, Tsai HJ, Liang WK, Hsu CH, Muggleton NG, Wang CA. Linking tonic and phasic pupil responses to P300 amplitude in an emotional face-word Stroop task. Psychophysiology 2024; 61:e14479. [PMID: 37920144 DOI: 10.1111/psyp.14479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 09/04/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023]
Abstract
The locus coeruleus-norepinephrine (LC-NE) system, which regulates arousal levels, is important for cognitive control, including emotional conflict resolution. Additionally, the LC-NE system is implicated in P300 generation. If the P300 is mediated by the LC-NE system, and considering the established correlations between LC activity and pupil dilation, P300 amplitude should correlate with task-evoked (phasic) pupil dilation on a trial-by-trial basis. However, prior studies, predominantly utilizing oddball-type paradigms, have not demonstrated correlations between concurrently recorded task-evoked pupil dilation and P300 responses. Using a recently developed emotional face-word Stroop task that links pupil dilation to the LC-NE system, here, we examined both intra- and inter-individual correlations between task-evoked pupil dilation and P300 amplitude. We found that lower accuracy, slower reaction times, and larger task-evoked pupil dilation were obtained in the incongruent compared to the congruent condition. Furthermore, we observed intra-individual correlations between task-evoked pupil dilation and P300 amplitude, with larger pupil dilation correlating with a greater P300 amplitude. In contrast, pupil dilation did not exhibit consistent correlations with N450 and N170 amplitudes. Baseline (tonic) pupil size also showed correlations with P300 and N170 amplitudes, with smaller pupil size corresponding to larger amplitude. Moreover, inter-individual differences in task-evoked pupil dilation between the congruent and incongruent conditions correlated with differences in reaction time and P300 amplitude, though these effects only approached significance. To summarize, our study provides evidence for a connection between task-evoked pupil dilation and P300 amplitude at the single-trial level, suggesting the involvement of the LC-NE system in P300 generation.
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Affiliation(s)
- Yi-Hsuan Chang
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
| | - He-Jun Chen
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Cesar Barquero
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Physical Activity and Sport Science, Universidad Peruana de Ciencias Aplicadas, Lima, Peru
| | - Hsu Jung Tsai
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Wei-Kuang Liang
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan
| | - Chun-Hsien Hsu
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
| | - Neil G Muggleton
- Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan
- Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan
| | - Chin-An Wang
- Eye-Tracking Laboratory, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
- Department of Anesthesiology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
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Chen X, Li S. Negative bias in early and late cognitive processing of coronary heart disease patients with depressive symptoms: an EPR study. BMC Psychiatry 2023; 23:576. [PMID: 37559000 PMCID: PMC10410877 DOI: 10.1186/s12888-023-05065-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 07/29/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND The purpose of this research was to explore the underlying mechanisms of cognitive impairments in patients with coronary heart disease (CHD) who exhibit depressive symptoms. This was accomplished by recording Event-related potentials (ERPs) during the emotional Stroop task, with a specific focus on the temporal dynamics of attentional bias towards various emotional words. METHODS We selected 17 CHD patients with depressive symptoms and 23 CHD patients without depression using a convenience sampling method from the Affiliated Hospital of Weifang Medical University. Each participant completed an emotional Stroop color-word task, and ERPs were recorded during the task to examine cognitive processing. RESULTS CHD patients with depressive symptoms exhibited generally smaller amplitudes of N1, N2, P3 and longer latency of P3 compared to CHD patients without depression. Specifically, the N1 amplitude of negative words was smaller and the P3 amplitude of negative words was larger in the CHD with depressive group compared to the CHD group. Furthermore, within the group of CHD patients with depressive symptoms, negative words elicited a smaller N1 amplitude and larger P3 amplitude compared to positive and neutral words. CONCLUSIONS CHD patients with depressive symptoms demonstrate decreased attentional resources, leading to cognitive impairments. Notably, significant attentional bias occurs during both early and later stages of cognitive processing. This bias is primarily characterized by an enhanced automatic processing of negative information at the early stage and difficulty disengaging from such information at the later stage. These findings contribute to the existing literature on the cognitive neural mechanisms underlying depression in CHD patients.
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Affiliation(s)
- Xiaoli Chen
- School of Teacher Education, Weifang University, Weifang City, Shandong Province, China.
| | - Shupeng Li
- School of Economics and Management, Shandong Vocational College of Information Technology, Weifang City, Shandong Province, China
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Brain function changes reveal rapid antidepressant effects of nitrous oxide for treatment-resistant depression:Evidence from task-state EEG. Psychiatry Res 2023; 322:115072. [PMID: 36791487 DOI: 10.1016/j.psychres.2023.115072] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 01/15/2023] [Accepted: 01/22/2023] [Indexed: 01/28/2023]
Abstract
Nitrous oxide has rapid antidepressant effects in patients with treatment-resistant depression (TRD), but its underlying mechanisms of therapeutic actions are not well understood. Moreover, most of the current studies lack objective biological indicators to evaluate the changes of nitrous oxide-induced brain function for TRD. Therefore, this study assessed the effect of nitrous oxide on brain function for TRD based on event-related potential (ERP) components and functional connectivity networks (FCNs) methods. In this randomized, longitudinal, placebo-controlled trial, all TRD participants were divided into two groups to receive either a 1-hour inhalation of nitrous oxide or a placebo treatment, and they took part in the same task-state electroencephalogram (EEG) experiment before and after treatment. The experimental results showed that nitrous oxide improved depressive symptoms better than placebo in terms of 17-Hamilton Depression Rating Scale score (HAMD-17). Statistical analysis based on ERP components showed that nitrous oxide-induced significant differences in amplitude and latency of N1, P1, N2, P2. In addition, increased brain functional connectivity was found after nitrous oxide treatment. And the change of network metrics has a significant correlation with decreased depressive symptoms. These findings may suggest that nitrous oxide improves depression symptoms for TRD by modifying brain function.
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Fang Z, Lynn E, Huc M, Fogel S, Knott VJ, Jaworska N. Simultaneous EEG+fMRI study of brain activity during an emotional Stroop task in individuals in remission from depression. Cortex 2022; 155:237-250. [DOI: 10.1016/j.cortex.2022.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/25/2022] [Accepted: 07/18/2022] [Indexed: 11/30/2022]
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Wang X, Liu S, Ma J, Wang K, Wang Z, Li J, Chen J, Zhan H, Wu W. The Inhibitory Effect of Emotional Conflict Control on Memory Retrieval. Neuroscience 2021; 468:29-42. [PMID: 34102264 DOI: 10.1016/j.neuroscience.2021.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 04/16/2021] [Accepted: 05/28/2021] [Indexed: 10/21/2022]
Abstract
Evidence is mounting that emotional conflict is mainly resolved by the rostral anterior cingulate inhibiting the processing of emotional distractors. However, this theory has not been verified from the perspective of memory retrieval. This experiment aimed to explore the offline effect of emotional conflict processing on memory retrieval. We adopted a modified encoding-retrieval paradigm to explore this issue. Participants' electroencephalography (EEG) signal were also collected. A face-word Stroop task was used to create the congruency factor. In addition, an old/new judgment task was used to evaluate the recognition performance. During the retrieval phase, the response time of the incongruent condition was longer and the recognition accuracy was lower compared with congruent and neutral conditions in the behavioral data. For event-related potentials (ERP), we detected two well-established old/new effects related to memory retrieval under both neutral and emotional conditions: the frontal negativity (FN400) related to familiarity-driven recognition and the late posterior negativity (LPN) related to reconstructive processing or evaluation of retrieval outcomes. More importantly, the old/new effects were missing for incongruent condition during the early stage of FN400 (300-400 ms). Besides, for LPN (700-900 ms), the old/new effects of the incongruent condition are greater than the congruent condition. The results prove that the encoding phase's emotional congruency factor has a regulatory effect on the retrieval phase's early familiarity processing and evaluation of retrieval outcomes. Our data confirm the inhibitory effect of emotional conflict control on memory retrieval and support the emotional conflict control mechanism found in previous studies.
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Affiliation(s)
- Xianglong Wang
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Sishi Liu
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Junqin Ma
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Kangling Wang
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Zhengtao Wang
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Jie Li
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Jiali Chen
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
| | - Hongrui Zhan
- Department of Rehabilitation, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai 519000, Guangdong Province, China
| | - Wen Wu
- Department of Rehabilitation, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China.
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Lu S, Shi X, Li M, Jiao J, Feng L, Wang G. Semi-supervised random forest regression model based on co-training and grouping with information entropy for evaluation of depression symptoms severity. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2021; 18:4586-4602. [PMID: 34198455 DOI: 10.3934/mbe.2021233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Semi-supervised learning has always been a hot topic in machine learning. It uses a large number of unlabeled data to improve the performance of the model. This paper combines the co-training strategy and random forest to propose a novel semi-supervised regression algorithm: semi-supervised random forest regression model based on co-training and grouping with information entropy (E-CoGRF), and applies it to the evaluation of depression symptoms severity. The algorithm inherits the ensemble characteristics of random forest, and combines well with co-training. In order to balance the accuracy and diversity of co-training random forests, the algorithm proposes a grouping strategy to decision trees. Moreover, the information entropy is used to measure the confidence, which avoids unnecessary repeated training and improves the efficiency of the model. In the practical application of evaluation of depression symptoms severity, we collect cognitive behavioral data of emotional conflict based on the depressive affective disorder. And on this basis, feature construction and normalization preprocessing are carried out. Finally, the test is conducted on 35 labeled and 80 unlabeled depression patients. The result shows that the proposed algorithm obtains MAE (Mean Absolute Error) = 3.63 and RMSE (Root Mean Squared Error) = 4.50, which is better than other semi-supervised regression algorithms. The proposed method effectively solves the modeling difficulties caused by insufficient labeled samples, and has important reference value for the diagnosis of depression symptoms severity.
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Affiliation(s)
- Shengfu Lu
- Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
- The Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing 100124, China
- Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing 100124, China
| | - Xin Shi
- Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
- The Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing 100124, China
- Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing 100124, China
| | - Mi Li
- Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
- The Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing 100124, China
- Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing 100124, China
- Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, China
| | - Jinan Jiao
- Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
- The Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing 100124, China
- Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing 100124, China
| | - Lei Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100088, China
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- The Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100088, China
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Escitalopram ameliorates differences in neural activity between healthy comparison and major depressive disorder groups on an fMRI Emotional conflict task: A CAN-BIND-1 study. J Affect Disord 2020; 264:414-424. [PMID: 31757619 DOI: 10.1016/j.jad.2019.11.068] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 11/07/2019] [Accepted: 11/12/2019] [Indexed: 01/29/2023]
Abstract
BACKGROUND Identifying objective biomarkers can assist in predicting remission/non-remission to treatment, improving remission rates, and reducing illness burden in major depressive disorder (MDD). METHODS Sixteen MDD 8-week remitters (MDD-8), twelve 16-week remitters (MDD-16), 14 non-remitters (MDD-NR) and 30 healthy comparison participants (HC) completed a functional magnetic resonance imaging emotional conflict task at baseline, prior to treatment with escitalopram, and 8 weeks after treatment initiation. Patients were followed 16 weeks to assess remitter status. RESULTS All groups demonstrated emotional Stroop in reaction time (RT) at baseline and Week 8. There were no baseline differences between HC and MDD-8, MDD-16, or MDD-NR in RT or accuracy. By Week 8, MDD-8 demonstrated poorer accuracy compared to HC. Compared to HC, the baseline blood-oxygen level dependent (BOLD) signal was decreased in MDD-8 in brain-stem and thalamus; in MDD-16 in lateral occipital cortex, middle temporal gyrus, and cuneal cortex; in MDD-NR in lingual and occipital fusiform gyri, thalamus, putamen, caudate, cingulate gyrus, insula, cuneal cortex, and middle temporal gyrus. By Week 8, there were no BOLD activity differences between MDD groups and HC. LIMITATIONS The Emotional Conflict Task lacks a neutral (non-emotional) condition, restricting interpretation of how mood may influence perception of non-emotionally valenced stimuli. CONCLUSIONS The Emotional Conflict Task is not an objective biomarker for remission trajectory in patients with MDD receiving escitalopram treatment. Escitalopram may have influenced emotion recognition in MDD groups in terms of augmented accuracy and BOLD signal in response to an Emotional Conflict Task, following 8 weeks of escitalopram treatment.
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Fonzo GA, Etkin A, Zhang Y, Wu W, Cooper C, Chin-Fatt C, Jha MK, Trombello J, Deckersbach T, Adams P, McInnis M, McGrath PJ, Weissman MM, Fava M, Trivedi MH. Brain regulation of emotional conflict predicts antidepressant treatment response for depression. Nat Hum Behav 2019; 3:1319-1331. [PMID: 31548678 PMCID: PMC6908746 DOI: 10.1038/s41562-019-0732-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 08/16/2019] [Indexed: 12/16/2022]
Abstract
The efficacy of antidepressant treatment for depression is controversial due to the only modest superiority demonstrated over placebo. However, neurobiological heterogeneity within depression may limit overall antidepressant efficacy. We sought to identify a neurobiological phenotype responsive to antidepressant treatment by testing pretreatment brain activation during response to, and regulation of, emotional conflict as a moderator of the clinical benefit of the antidepressant sertraline versus placebo. Using neuroimaging data from a large randomized controlled trial, we found widespread moderation of clinical benefits by brain activity during regulation of emotional conflict, in which greater downregulation of conflict-responsive regions predicted better sertraline outcomes. Treatment-predictive machine learning using brain metrics outperformed a model trained on clinical and demographic variables. Our findings demonstrate that antidepressant response is predicted by brain activity underlying a key self-regulatory emotional capacity. Leveraging brain-based measures in psychiatry will forge a path toward better treatment personalization, refined mechanistic insights and improved outcomes.
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Affiliation(s)
- Gregory A Fonzo
- Department of Psychiatry, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Amit Etkin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA. .,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. .,Sierra Pacific Mental Illness Research, Education and Clinical Center in the Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA.
| | - Yu Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Sierra Pacific Mental Illness Research, Education and Clinical Center in the Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Wei Wu
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Sierra Pacific Mental Illness Research, Education and Clinical Center in the Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Crystal Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Cherise Chin-Fatt
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Manish K Jha
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Joseph Trombello
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Phil Adams
- New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Patrick J McGrath
- New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Myrna M Weissman
- New York State Psychiatric Institute and Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
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Schreiter ML, Chmielewski W, Beste C. Neurophysiological processes and functional neuroanatomical structures underlying proactive effects of emotional conflicts. Neuroimage 2018. [DOI: 10.1016/j.neuroimage.2018.03.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Zhu J, Li J, Li X, Rao J, Hao Y, Ding Z, Wang G. Neural Basis of the Emotional Conflict Processing in Major Depression: ERPs and Source Localization Analysis on the N450 and P300 Components. Front Hum Neurosci 2018; 12:214. [PMID: 29896094 PMCID: PMC5986884 DOI: 10.3389/fnhum.2018.00214] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 05/08/2018] [Indexed: 11/13/2022] Open
Abstract
Objects: Effective psychological function requires that cognition is not affected by task-irrelevant emotional stimuli in emotional conflict. Depression is mainly characterized as an emotional disorder. The object of this study is to reveal the behavioral and electrophysiological signature of emotional conflict processing in major depressive disorder (MDD) using event-related potentials (ERPs) and standardized low-resolution brain electromagnetic tomography (sLORETA) analysis. Method: We used a face–word Stroop task involving emotional faces while recording EEG (electroencephalography) in 20 patients with MDD and 20 healthy controls (HCs). And then ERPs were extracted and the corresponding brain sources were reconstructed using sLORETA. Results: Behaviorally, subjects with MDDs manifested significantly increased Stroop effect when examining the RT difference between happy incongruent trials and happy congruent trials, compared with HC subjects. ERP results exhibited that MDDs were characterized by the attenuated difference between P300 amplitude to sad congruent stimuli and sad incongruent stimuli, as electrophysiological evidence of impaired conflict processing in subjects with MDD. The sLORETA results showed that MDD patients had a higher current density in rostral anterior cingulate cortex (rostral ACC) within N450 time window in response to happy incongruent trials than happy congruent stimuli. Moreover, HC subjects had stronger activity in right inferior frontal gyrus (rIFG) region in response to incongruent stimuli than congruent stimuli, revealing successful inhibition of emotional distraction in HCs, which was absent in MDDs. Conclusion: Our results indicated that rostral ACC was implicated in the processing of negative emotional distraction in MDDs, as well as impaired inhibition of task-irrelevant emotional stimuli, relative to HCs. This work furnishes novel behavioral and neurophysiological evidence that are closely related to emotional conflict among MDD patients.
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Affiliation(s)
- Jing Zhu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Jianxiu Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Xiaowei Li
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Juan Rao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Yanrong Hao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China
| | - Zhijie Ding
- The Third People's Hospital of Tianshui City, Tianshui, China
| | - Gangping Wang
- The Third People's Hospital of Tianshui City, Tianshui, China
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How socioemotional setting modulates late-stage conflict resolution processes in the lateral prefrontal cortex. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2018; 18:521-535. [DOI: 10.3758/s13415-018-0585-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Wang K, Wu W, Zhong H, Cheng J. Gender differences in performance for young adults in cognitive tasks under emotional conflict. Neurosci Lett 2017; 661:77-83. [DOI: 10.1016/j.neulet.2017.09.061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 09/27/2017] [Accepted: 09/29/2017] [Indexed: 11/16/2022]
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