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Zhao C, Guo J, Li D, Tao Y, Ding Y, Liu H, Song Y. Anticipatory alpha oscillation predicts attentional selection and hemodynamic response. Hum Brain Mapp 2019; 40:3606-3619. [PMID: 31062891 DOI: 10.1002/hbm.24619] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 03/22/2019] [Accepted: 04/24/2019] [Indexed: 01/07/2023] Open
Abstract
In covert visual attention, one fundamental question is how advance knowledge facilitates subsequent neural processing and behavioral performance. In this study, with a rapid event-related simultaneous electroencephalography (EEG) and functional near infrared spectroscopy recording in humans, we explored the potential contribution of anticipatory electrophysiological activation and hemodynamic activation by examining how anticipatory low-frequency oscillations and changes in oxygenated hemoglobin (HbO) concentration influence the subsequent event-related potential (ERP) marker of attentional selection. We found that expecting a target led to both a posterior lateralization of alpha-band (8-12 Hz) oscillation power and a lateralization of HbO response over the visual cortex. Importantly, the magnitude of cue-induced alpha lateralization was positively correlated with the nearby HbO lateralization in the visual cortex, and such a cue-induced alpha lateralization predicted the subsequent target-evoked N2pc amplitudes assumed to reflect attentional selection. Our results suggest that each individual's attentional selection biomarker as reflected by N2pc is predictable in advance via the anticipation-induced alpha lateralization, and such cue-induced alpha lateralization seems to play an important role in the functional coupling effects between the low-frequency EEG and the nearby hemodynamic activation.
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Affiliation(s)
- Chenguang Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jialiang Guo
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Dongwei Li
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Ye Tao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yulong Ding
- School of Psychology, South China Normal University, Guangzhou, China.,Brain and Cognition Laboratory, Department of Psychology, Sun Yat-Sen University, Guangdong, China
| | - Hanli Liu
- Department of Bioengineering, The University of Texas at Arlington, Arlington, Texas
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
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Ahmadi M, McDevitt EA, Silver MA, Mednick SC. Perceptual learning induces changes in early and late visual evoked potentials. Vision Res 2018; 152:101-109. [PMID: 29224982 PMCID: PMC6014865 DOI: 10.1016/j.visres.2017.08.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 06/03/2017] [Accepted: 08/31/2017] [Indexed: 11/24/2022]
Abstract
Studies of visual cortical responses following visual perceptual learning (VPL) have produced diverse results, revealing neural changes in early and/or higher-level visual cortex as well as changes in regions responsible for higher cognitive processes such as attentional control. In this study, we investigated substrates of VPL in the human brain by recording visual evoked potentials with high-density electroencephalography (hdEEG) before (Session 1) and after (Session 2) training on a texture discrimination task (TDT), with two full nights of sleep between sessions. We studied the following event-related potential (ERP) components: C1 (early sensory processing), P1 and N1 (later sensory processing, modulated by top-down spatial attention), and P3 (cognitive processing). Our results showed a significant decrease in C1 amplitude at Session 2 relative to Session 1 that was positively correlated with the magnitude of improvement in behavioral performance. Although we observed no significant changes in P1 amplitude with VPL, both N1 amplitude and latency were significantly decreased in Session 2. Moreover, the difference in N1 latency between Session 1 and Session 2 was negatively correlated with behavioral improvement. We also found a significant increase in P3 amplitude following training. Our results suggest that VPL of the TDT task may be due to plasticity in early visual cortical areas as well as changes in top-down attentional control and cognitive processing.
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Affiliation(s)
- Maryam Ahmadi
- Department of Cognitive Sciences, UC Irvine, United States.
| | - Elizabeth A McDevitt
- Princeton Neuroscience Institute, Princeton University, New Jersey, United States
| | - Michael A Silver
- Helen Wills Neuroscience Institute, UC Berkeley, United States; School of Optometry, UC Berkeley, United States; Vision Science Graduate Group, UC Berkeley, United States
| | - Sara C Mednick
- Department of Cognitive Sciences, UC Irvine, United States
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Qu Z, Hillyard SA, Ding Y. Perceptual Learning Induces Persistent Attentional Capture by Nonsalient Shapes. Cereb Cortex 2018; 27:1512-1523. [PMID: 26759483 DOI: 10.1093/cercor/bhv342] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Visual attention can be attracted automatically by salient simple features, but whether and how nonsalient complex stimuli such as shapes may capture attention in humans remains unclear. Here, we present strong electrophysiological evidence that a nonsalient shape presented among similar shapes can provoke a robust and persistent capture of attention as a consequence of extensive training in visual search (VS) for that shape. Strikingly, this attentional capture that followed perceptual learning (PL) was evident even when the trained shape was task-irrelevant, was presented outside the focus of top-down spatial attention, and was undetected by the observer. Moreover, this attentional capture persisted for at least 3-5 months after training had been terminated. This involuntary capture of attention was indexed by electrophysiological recordings of the N2pc component of the event-related brain potential, which was localized to ventral extrastriate visual cortex, and was highly predictive of stimulus-specific improvement in VS ability following PL. These findings provide the first evidence that nonsalient shapes can capture visual attention automatically following PL and challenge the prominent view that detection of feature conjunctions requires top-down focal attention.
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Affiliation(s)
- Zhe Qu
- Brain and Cognition Laboratory, Department of Psychology, Sun Yat-Sen University, Guangzhou, China.,State Key laboratory of Brain and Cognition Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Steven A Hillyard
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Yulong Ding
- Brain and Cognition Laboratory, Department of Psychology, Sun Yat-Sen University, Guangzhou, China
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Huang W, Wu X, Hu L, Wang L, Ding Y, Qu Z. Revisiting the earliest electrophysiological correlate of familiar face recognition. Int J Psychophysiol 2017; 120:42-53. [DOI: 10.1016/j.ijpsycho.2017.07.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 05/28/2017] [Accepted: 07/01/2017] [Indexed: 10/19/2022]
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Chan SCC, Lam TLH, Fong KNK, Pang MYC, Chan CCH. Generalization of Context-Specific Training in Individuals with Mild Cognitive Impairment: An Event-Related Potential Study. Dement Geriatr Cogn Dis Extra 2017; 6:568-579. [PMID: 28203246 PMCID: PMC5260610 DOI: 10.1159/000453546] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 11/01/2016] [Indexed: 12/04/2022] Open
Abstract
Background This study examined the neural processes associated with the generalization of the effect of context-specific (CS) training to noncontextual situations among individuals with mild cognitive impairment (MCI). Methods Fourteen and 16 participants with MCI were randomly allocated to a Chinese calligraphy writing (CW) training or a control group, respectively. The CW participants learned how to write Chinese strokes in a semicursive style to construct characters, tapping on working memory functions. The control group, on the other hand, learned how to use a tablet computer without emphasis on working memory functions. They then performed two 2-back tasks with CS semicursive strokes and non-context-specific (NCS) digits. Event-related electroencephalogram signals were concurrently recorded. Results The CW participants had a significantly shorter reaction time in the CS than in the NCS task (p < 0.05). They showed significantly longer latency in working memory updating (N200; t<Sub>11</Sub> = 4.70, p = 0.05) and shorter latency in the evaluation of visual representation (P300; t<Sub>12</Sub> = 4.67; p = 0.05) than the control group when performing the 2-back CS task. Shorter P300 latency was also revealed in the 2-back NCS task (t<Sub>12</Sub> = 5.15, p = 0.041), suggesting a possible generalization of the training effect among the CW participants. Conclusion The results suggest that CS working memory is likely to be generalized to NCS domains among individuals with MCI. Future research should extend the scope of the generalization and apply it beyond experimental conditions.
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Affiliation(s)
- Sam C C Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China; Applied Cognitive Neuroscience Laboratory, The Hong Kong Polytechnic University, Hong Kong, China
| | - Tommy L H Lam
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China; Applied Cognitive Neuroscience Laboratory, The Hong Kong Polytechnic University, Hong Kong, China
| | - Kenneth N K Fong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | - Marco Y C Pang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | - Chetwyn C H Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China; Applied Cognitive Neuroscience Laboratory, The Hong Kong Polytechnic University, Hong Kong, China
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Huang W, Su Y, Zhen Y, Qu Z. The role of top-down spatial attention in contingent attentional capture. Psychophysiology 2016; 53:650-62. [DOI: 10.1111/psyp.12615] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 11/10/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Wanyi Huang
- Brain and Cognition Laboratory, Department of Psychology; Sun Yat-Sen University; Guangzhou China
| | - Yuling Su
- Brain and Cognition Laboratory, Department of Psychology; Sun Yat-Sen University; Guangzhou China
| | - Yanfen Zhen
- Brain and Cognition Laboratory, Department of Psychology; Sun Yat-Sen University; Guangzhou China
| | - Zhe Qu
- Brain and Cognition Laboratory, Department of Psychology; Sun Yat-Sen University; Guangzhou China
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Wang E, Sun L, Sun M, Huang J, Tao Y, Zhao X, Wu Z, Ding Y, Newman DP, Bellgrove MA, Wang Y, Song Y. Attentional Selection and Suppression in Children With Attention-Deficit/Hyperactivity Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2016; 1:372-380. [PMID: 29560866 DOI: 10.1016/j.bpsc.2016.01.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Revised: 01/13/2016] [Accepted: 01/19/2016] [Indexed: 10/22/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder with prominent impairments in directing and sustaining attention. The aim of this study was to identify the neurophysiologic bases of attention deficits in ADHD, focusing on electroencephalography markers of attentional selection (posterior contralateral N2 [N2pc]) and suppression (distractor positivity [PD]). METHODS The electroencephalography data were collected from 135 children 9-15 years old with and without ADHD while they searched for a shape target in either the absence (experiment 1) or the presence (experiment 2) of a salient but irrelevant color distractor. RESULTS In experiment 1, the shape target elicited a smaller N2pc in children with ADHD (n = 38) compared with typically developing children (n = 36). The smaller N2pc amplitude predicted higher levels of inattentive symptoms in children with ADHD. Moreover, the target-elicited N2pc was followed by a positivity in typically developing children but not in children with ADHD. In experiment 2, the salient but irrelevant color distractor elicited a smaller PD component in children with ADHD (n = 32) compared with typically developing children (n = 29). The smaller PD predicted higher inattentive symptom severity as well as lower behavioral accuracy in children with ADHD. CONCLUSIONS The correlation between N2pc/PD amplitudes and ADHD symptom severity suggests that these signals of attentional selection and suppression may serve as potential candidates for neurophysiologic markers of ADHD. Our findings provide a neurophysiologic basis for the subjective reports of attention deficits in children with ADHD and highlight the importance of spatial attention impairments in ADHD.
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Affiliation(s)
- Encong Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China; Peking University Sixth Hospital/Institute of Mental Health; Beijing, China
| | - Li Sun
- Peking University Sixth Hospital/Institute of Mental Health; Beijing, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Meirong Sun
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China
| | - Jing Huang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China
| | - Ye Tao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China
| | - Xixi Zhao
- Peking University Sixth Hospital/Institute of Mental Health; Beijing, China
| | - Zhanliang Wu
- Peking University Sixth Hospital/Institute of Mental Health; Beijing, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Yulong Ding
- Brain and Cognition Laboratory, Department of Psychology, Sun Yat-Sen University, Guangzhou, China
| | - Daniel P Newman
- School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Mark A Bellgrove
- School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Yufeng Wang
- Peking University Sixth Hospital/Institute of Mental Health; Beijing, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University;Beijing, China.
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Wang F, Huang J, Lv Y, Ma X, Yang B, Wang E, Du B, Li W, Song Y. Predicting perceptual learning from higher-order cortical processing. Neuroimage 2016; 124:682-692. [DOI: 10.1016/j.neuroimage.2015.09.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Revised: 08/21/2015] [Accepted: 09/10/2015] [Indexed: 11/26/2022] Open
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Huang J, Wang F, Ding Y, Niu H, Tian F, Liu H, Song Y. Predicting N2pc from anticipatory HbO activity during sustained visuospatial attention: A concurrent fNIRS–ERP study. Neuroimage 2015; 113:225-34. [PMID: 25818691 DOI: 10.1016/j.neuroimage.2015.03.044] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2014] [Revised: 03/09/2015] [Accepted: 03/16/2015] [Indexed: 12/20/2022] Open
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