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Kong Y, Zhao C, Li D, Li B, Hu Y, Liu H, Woolgar A, Guo J, Song Y. Auditory change detection and visual selective attention: association between MMN and N2pc. Cereb Cortex 2024; 34:bhae175. [PMID: 38700440 DOI: 10.1093/cercor/bhae175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 04/02/2024] [Accepted: 04/16/2024] [Indexed: 05/05/2024] Open
Abstract
While the auditory and visual systems each provide distinct information to our brain, they also work together to process and prioritize input to address ever-changing conditions. Previous studies highlighted the trade-off between auditory change detection and visual selective attention; however, the relationship between them is still unclear. Here, we recorded electroencephalography signals from 106 healthy adults in three experiments. Our findings revealed a positive correlation at the population level between the amplitudes of event-related potential indices associated with auditory change detection (mismatch negativity) and visual selective attention (posterior contralateral N2) when elicited in separate tasks. This correlation persisted even when participants performed a visual task while disregarding simultaneous auditory stimuli. Interestingly, as visual attention demand increased, participants whose posterior contralateral N2 amplitude increased the most exhibited the largest reduction in mismatch negativity, suggesting a within-subject trade-off between the two processes. Taken together, our results suggest an intimate relationship and potential shared mechanism between auditory change detection and visual selective attention. We liken this to a total capacity limit that varies between individuals, which could drive correlated individual differences in auditory change detection and visual selective attention, and also within-subject competition between the two, with task-based modulation of visual attention causing within-participant decrease in auditory change detection sensitivity.
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Affiliation(s)
- Yuanjun Kong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
- MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF, UK
| | - Chenguang Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
| | - Dongwei Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
- Department of Psychology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, 18 Jinfeng Road, Zhuhai 519087, China
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
| | - Bingkun Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
| | - Yiqing Hu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
| | - Hongyu Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
| | - Alexandra Woolgar
- MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF, UK
| | - Jialiang Guo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, 19 Xinjiekouwai Street, Beijing 100875, China
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2
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Zhang H, Hu Y, Li Y, Li D, Liu H, Li X, Song Y, Zhao C. Neurovascular coupling in the attention during visual working memory processes. iScience 2024; 27:109368. [PMID: 38510112 PMCID: PMC10951642 DOI: 10.1016/j.isci.2024.109368] [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: 11/06/2023] [Revised: 11/19/2023] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
Focusing attention in visual working memory (vWM) depends on the ability to filter distractors and expand the scope of targets. Although many properties of attention processes in vWM have been well documented, it remains unclear how the mechanisms of neurovascular coupling (NVC) function during attention processes in vWM. Here, we show simultaneous multimodal data that reveal the similar temporal and spatial features of attention processes during vWM. These similarities lead to common NVC outcomes across individuals. When filtering out distractors, the electroencephalography (EEG)-informed NVC displayed broader engagement across the frontoparietal network. A negative correlation may exist between behavioral metrics and EEG-informed NVC strength related to attention control. On a dynamic basis, NVC features exhibited higher discriminatory power in predicting behavior than other features alone. These results underscore how multimodal approaches can advance our understanding of the role of attention in vWM, and how NVC fluctuations are associated with actual behavior.
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Affiliation(s)
- Hao Zhang
- School of Systems Science, Beijing Normal University, Beijing 100875, China
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai, Zhuhai 519087, China
- International Academic Center of Complex Systems, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, China
| | - Yiqing Hu
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Yang Li
- Chinese Institute for Brain Research, Beijing 102206, China
| | - Dongwei Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Department of Applied Psychology, School of Arts and Sciences, Beijing Normal University, Zhuhai, China
| | - Hanli Liu
- Department of Bioengineering, the University of Texas at Arlington, Arlington, TX, USA
| | - Xiaoli Li
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai, Zhuhai 519087, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Chenguang Zhao
- School of Systems Science, Beijing Normal University, Beijing 100875, China
- Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai, Zhuhai 519087, China
- Chinese Institute for Brain Research, Beijing 102206, China
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3
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Liu Y, Luo J, Fang J, Yin M, Cao J, Zhang S, Huang L, Cheng Q, Ai Y, Zheng H, Hu X. Screening diagnosis of executive dysfunction after ischemic stroke and the effects of transcranial magnetic stimulation: A prospective functional near-infrared spectroscopy study. CNS Neurosci Ther 2023; 29:1561-1570. [PMID: 36786133 PMCID: PMC10173709 DOI: 10.1111/cns.14118] [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: 08/12/2022] [Revised: 01/21/2023] [Accepted: 01/29/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Post-ischemic stroke executive impairment (PISEI) is a serious obstacle for patients to returning to their society and is currently difficult to screen early and clinically ineffective. AIM The aim of the study was to clarify whether functional near-infrared spectroscopy (fNIRS) can be used as a rapid screening tool for PISEI and to explore the efficacy of transcranial magnetic stimulation (TMS) in PISEI patients and the changes in brain function. METHODS A single-blind, randomized controlled study design was used to detect hemodynamic differences by fNIIRS in 16 PISEI patients and 16 healthy subjects during the resting state and Stroop task, respectively. After 3 days, all subjects received a single TMS intervention and underwent simultaneous fNIRS testing for the Stroop task before and 3 days after the TMS intervention. RESULTS PISEI patients had significantly higher HbO2 content in the left dorsolateral prefrontal cortex (DLPFC), the right pre-motor cortex (PMC) and the right primary sensorimotor cortex (SM1) during the Stroop task compared to the resting state (F = 141.966, p < 0.001), but significantly lower than healthy subjects (T = -3.413, p = 0.002). After TMS intervention, PISEI patients' time and error number scores on the Stroop test were significantly enhanced, and the functional activity of the above-mentioned brain regions was significantly more active than at baseline, while the strength of their functional connections with each other was markedly increased. CONCLUSIONS fNIRS helped screen and diagnose PISEI. A single TMS session benefited PISEI patients with effects lasting 3 days, which may be attributed to activation of the left DLPFC, right PMC and right SM1 brain regions.
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Affiliation(s)
- Yuanwen Liu
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jing Luo
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jie Fang
- Department of Rehabilitation Medicine, Xiamen Humanity Rehabilitation Hospital, Xiamen, China
| | - Mingyu Yin
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jie Cao
- Department of Education, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shuxian Zhang
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Li Huang
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qilin Cheng
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.,Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
| | - Yinan Ai
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Haiqing Zheng
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiquan Hu
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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4
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Guo J, Luo X, Kong Y, Li B, Si B, Jensen O, Sun L, Song Y. The effects of first-dose methylphenidate on the neural signatures of visual selective attention in children with attention-deficit/hyperactivity disorder. Biol Psychol 2023; 177:108481. [PMID: 36572273 DOI: 10.1016/j.biopsycho.2022.108481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 12/06/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022]
Abstract
Although methylphenidate (MPH) has been shown to significantly improve selective attention in children with attention-deficit/hyperactivity disorder (ADHD), the neural mechanism of this effect remains unclear. We investigated the effects of first-dose MPH on the neural signatures of visual selective attention in children with ADHD. We measured the impact of first-dose MPH on electrophysiological indexes from eighteen children with ADHD (8.9-15.2 years; 15 boys) while they performed a visual search task. MPH was administered in a double-blind placebo-controlled crossover design. MPH led to decreases in behavioral error rates and reaction times. For the electrophysiological indexes, MPH significantly increased the target-elicited N2pc amplitude and posterior P3 amplitude during the selective attention process. The trial-based correlation analysis revealed that the enhanced N2pc (more negative) and P3 (more positive) promoted the behavioral response speed for children with ADHD. The lower individual P3 amplitude was associated with higher severity of inattention symptoms. The severer inattention symptoms were related to weaker MPH effect on N2pc amplitude. These findings suggest that N2pc and P3 are closely related to the mechanism of MPH in the ADHD treatment.
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Affiliation(s)
- Jialiang Guo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; School of Systems Science, Beijing Normal University, Beijing, China
| | - Xiangsheng Luo
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
| | - Yuanjun Kong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Bingkun Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Bailu Si
- School of Systems Science, Beijing Normal University, Beijing, China
| | - Ole Jensen
- Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom
| | - Li Sun
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning & 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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5
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Zhao C, Li D, Guo J, Li B, Kong Y, Hu Y, Du B, Ding Y, Li X, Liu H, Song Y. The neurovascular couplings between electrophysiological and hemodynamic activities in anticipatory selective attention. Cereb Cortex 2022; 32:4953-4968. [PMID: 35076708 DOI: 10.1093/cercor/bhab525] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 12/27/2022] Open
Abstract
Selective attention is thought to involve target enhancement and distractor inhibition processes. Here, we recorded simultaneous electroencephalographic (EEG) and functional near-infrared spectroscopy (fNIRS) data from human adults when they were pre-cued by the visual field of coming target, distractor, or both of them. From the EEG data, we found alpha power relatively decreased contralaterally to the to-be-attended target, as reflected by the positive-going alpha modulation index. Late alpha power relatively increased contralaterally to the to-be-suppressed distractor, as reflected by the negative-going alpha modulation index. From the fNIRS data, we found enhancements of hemodynamic activity over the contralateral hemisphere in response to both the target and the distractor anticipation but within nonoverlapping posterior brain regions. More importantly, we described the specific neurovascular modulation between alpha power and oxygenated hemoglobin signal, which showed a positive coupling effect during target anticipation and a negative coupling effect during distractor anticipation. Such flexible neurovascular couplings between EEG oscillation and hemodynamic activity seem to play an essential role in the final behavioral outcomes. These results provide unique neurovascular evidence for the dissociation of the mechanisms of target enhancement and distractor inhibition. Individual behavioral differences can be related to individual differences in neurovascular coupling.
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Affiliation(s)
- Chenguang Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai 519087, China.,School of Systems Science, Beijing Normal University, Beijing 100875, China
| | - Dongwei Li
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Jialiang Guo
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Bingkun Li
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yuanjun Kong
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yiqing Hu
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Boqi Du
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yulong Ding
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631, China
| | - Xiaoli Li
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai 519087, China
| | - Hanli Liu
- Department of Bioengineering, the University of Texas at Arlington, Arlington, TX 76019, USA
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai 519087, China
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6
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Yeung MK, Chu VW. Viewing neurovascular coupling through the lens of combined EEG-fNIRS: A systematic review of current methods. Psychophysiology 2022; 59:e14054. [PMID: 35357703 DOI: 10.1111/psyp.14054] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/01/2022] [Accepted: 03/08/2022] [Indexed: 12/25/2022]
Abstract
Neurovascular coupling is a key physiological mechanism that occurs in the healthy human brain, and understanding this process has implications for understanding the aging and neuropsychiatric populations. Combined electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) has emerged as a promising, noninvasive tool for probing neurovascular interactions in humans. However, the utility of this approach critically depends on the methodological quality used for multimodal integration. Despite a growing number of combined EEG-fNIRS applications reported in recent years, the methodological rigor of past studies remains unclear, limiting the accurate interpretation of reported findings and hindering the translational application of this multimodal approach. To fill this knowledge gap, we critically evaluated various methodological aspects of previous combined EEG-fNIRS studies performed in healthy individuals. A literature search was conducted using PubMed and PsycINFO on June 28, 2021. Studies involving concurrent EEG and fNIRS measurements in awake and healthy individuals were selected. After screening and eligibility assessment, 96 studies were included in the methodological evaluation. Specifically, we critically reviewed various aspects of participant sampling, experimental design, signal acquisition, data preprocessing, outcome selection, data analysis, and results presentation reported in these studies. Altogether, we identified several notable strengths and limitations of the existing EEG-fNIRS literature. In light of these limitations and the features of combined EEG-fNIRS, recommendations are made to improve and standardize research practices to facilitate the use of combined EEG-fNIRS when studying healthy neurovascular coupling processes and alterations in neurovascular coupling among various populations.
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Affiliation(s)
- Michael K Yeung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
| | - Vivian W Chu
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
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7
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Visual Working Memory Guides Spatial Attention: Evidence from alpha oscillations and sustained potentials. Neuropsychologia 2020; 151:107719. [PMID: 33309675 DOI: 10.1016/j.neuropsychologia.2020.107719] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 12/04/2020] [Accepted: 12/07/2020] [Indexed: 01/30/2023]
Abstract
Selective attention can facilitate performance by filtering irrelevant information and temporary maintaining limited information to accomplish the current task. However, the neural substrate how attentional selection can be guided by visual working memory (vWM) is not clear. Here, we recorded electrophysiological signals during vWM retention and investigated the relationship between objects held in memorial templates and the subsequent attentional selection during visual search. We observed that sustained posterior contralateral delay activity (CDA) was present and scaled with lateral vWM loads during the whole period of vWM retention, but that it was absent when objects were bilaterally held in vWM. Surprisingly, a strikingly similar pattern emerged for modulations in the averaged posterior alpha (8-12 Hz) power during the late period but not during the early period of retention. More importantly, it was the alpha modulation, but not the CDA, that strongly predicted the subsequent biomarker of attentional selection (the memorial template-induced N2pc) during visual search. We further observed the N2pc amplitudes decreased with increasing memory loads and predicted the same gradation of the final behavioral accuracy in visual search. All these results suggested that the subsequent memorial template-induced N2pc is response to the level of top-down attentional guiding effect caused by vWM. Our results provide neurophysiological evidence that keeping multiple templates in working memory simultaneously weakens the guiding effect to the following attentional selection.
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8
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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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9
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Luo X, Guo J, Liu L, Zhao X, Li D, Li H, Zhao Q, Wang Y, Qian Q, Wang Y, Song Y, Sun L. The neural correlations of spatial attention and working memory deficits in adults with ADHD. NEUROIMAGE-CLINICAL 2019; 22:101728. [PMID: 30822718 PMCID: PMC6396015 DOI: 10.1016/j.nicl.2019.101728] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 02/14/2019] [Accepted: 02/19/2019] [Indexed: 11/06/2022]
Abstract
Working memory impairment is a typical cognitive abnormality in patients with attention-deficit/hyperactivity disorder (ADHD) and is closely related to attention. Exploring the interaction between working memory and attention in patients with ADHD is of great significance for studying the pathological mechanism of this disease. In this study, electrophysiological markers of attention, posterior contralateral N2 (N2pc), and working memory, contralateral delay activity (CDA), were used to explore the relationship between these two cognitive abilities in patients with ADHD. EEG data were collected from adults with ADHD and age-, sex-, and IQ-matched normal controls while performing a classical visuospatial working memory task that consisted of low-load and high-load memory conditions. In different memory load conditions, the memory array elicited a smaller N2pc (220–260 ms) and a smaller CDA (400–800 ms) in adults with ADHD than in normal controls. Further analysis revealed that the reduced CDA amplitude could be significantly predicted by the earlier and reduced N2pc amplitude in adults with ADHD. Moreover, when the number of memory items increased, the increase in N2pc highly predicted the increases in CDA. Our findings illustrate the relationship between spatial working memory and attention ability in ADHD adults from the neurophysiological aspect that reduced working memory is closely related to insufficient attention ability and provide a potential physiological basis for the pathological mechanism of ADHD. We investigate the relationship between attention and working memory in ADHD adults. Both the N2pc and CDA are reduced in ADHD adults compared with normal controls. The reduced N2pc is correlated with the reduced CDA in ADHD adults. Working memory deficits in adults with ADHD may be related to attention deficits.
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Affiliation(s)
- Xiangsheng Luo
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Jialiang Guo
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Lu Liu
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Xixi Zhao
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Dongwei Li
- State Key Laboratory of Cognitive Neuroscience and Learning &IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Hui Li
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Qihua Zhao
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Yanfei Wang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Qiujin Qian
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning &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.
| | - Li Sun
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China.
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10
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Sun M, Wang E, Huang J, Zhao C, Guo J, Li D, Sun L, Du B, Ding Y, Song Y. Attentional selection and suppression in children and adults. Dev Sci 2018; 21:e12684. [DOI: 10.1111/desc.12684] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 04/03/2018] [Indexed: 11/28/2022]
Affiliation(s)
- Meirong Sun
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
- School of Psychological and Cognitive Sciences; Peking University; Beijing China
| | - Encong Wang
- Unit of Psychological Medicine; Beijing Chao-Yang Hospital; Capital Medical University; Beijing China
| | - Jing Huang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Chenguang Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Jialiang Guo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Dongwei Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Li Sun
- Peking University Sixth Hospital / Institute of Mental Health; Beijing China
| | - Boqi Du
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research; Beijing Normal University; Beijing China
| | - Yulong Ding
- Brain and Cognition Laboratory; Department of Psychology; Sun Yat-Sen University; Guangdong China
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning & 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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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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12
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Hu B, Rao J, Li X, Cao T, Li J, Majoe D, Gutknecht J. Emotion Regulating Attentional Control Abnormalities In Major Depressive Disorder: An Event-Related Potential Study. Sci Rep 2017; 7:13530. [PMID: 29051523 PMCID: PMC5648876 DOI: 10.1038/s41598-017-13626-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 08/17/2017] [Indexed: 11/30/2022] Open
Abstract
Major depressive disorders (MDD) exhibit cognitive dysfunction with respect to attention. The deficiencies in cognitive control of emotional information are associated with MDD as compared to healthy controls (HC). However, the brain mechanism underlying emotion that influences the attentional control in MDD necessitates further research. The present study explores the emotion-regulated cognitive competence in MDD at a dynamic attentional stage. Event-Related Potentials (ERPs) were recorded from 35 clinical MDD outpatients and matched HCs by applying a modified affective priming dot-probe paradigm, which consisted of various emotional facial expression pairs. From a dynamic perspective, ERPs combined with sLORETA results showed significant differences among the groups. In compared to HC, 100 ms MDD group exhibited a greater interior-prefrontal N100, sensitive to negative-neutral faces. 200 ms MDD showed an activated parietal-occipital P200 linked to sad face, suggesting that the attentional control ability concentrated on sad mood-congruent cognition. 300 ms, a distinct P300 was observed at dorsolateral parietal cortex, representing a sustained attentional control. Our findings suggested that a negatively sad emotion influenced cognitive attentional control in MDD in the early and late attentional stages of cognition. P200 and P300 might be predictors of potential neurocognitive mechanism underlying the dysregulated attentional control of MDD.
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Affiliation(s)
- Bin Hu
- School of Information Science & Engineering, Lanzhou University, 730000, Gansu, China.
| | - Juan Rao
- School of Information Science & Engineering, Lanzhou University, 730000, Gansu, China
| | - Xiaowei Li
- School of Information Science & Engineering, Lanzhou University, 730000, Gansu, China
| | - Tong Cao
- School of Information Science & Engineering, Lanzhou University, 730000, Gansu, China
| | - Jianxiu Li
- School of Information Science & Engineering, Lanzhou University, 730000, Gansu, China
| | - Dennis Majoe
- Laboratory for Software Technology-ETH Zurich, Zurich, Switzerland
| | - Jürg Gutknecht
- Institute for Computer Systems-ETH Zurich, Zurich, Switzerland
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13
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Attentional selection predicts rapid automatized naming ability in Chinese-speaking children with ADHD. Sci Rep 2017; 7:939. [PMID: 28428624 PMCID: PMC5430513 DOI: 10.1038/s41598-017-01075-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 03/27/2017] [Indexed: 12/05/2022] Open
Abstract
Children with attention-deficit/hyperactivity disorder (ADHD) are reported to have a significantly higher risk of showing reading difficulties or disorders. Here, we aimed to identify the relationship between electroencephalographic (EEG) marker of spatial attention and reading ability in Chinese children with ADHD. First, we demonstrated that rapid automatized naming (RAN) is a strong predictor of reading ability in Chinese-speaking children. Then, EEG data of 9-to 15-year-old children with ADHD (n = 38) and typically developing (TD) controls (n = 36) were collected while the children performed a classical visual search task. Children with ADHD showed slower RAN speed than TD children. For event-related potentials (ERPs), children with ADHD showed a reduced target-evoked N2pc component, which predicted their poorer RAN performance. However, in TD children the early occipital P1 amplitude was negatively correlated with their RAN performance. The correlation between decreased N2pc and poor RAN performance in children with ADHD suggests that their reading problems may in part be due to impaired attentional selection. In contrast, in TD children, development in early visual processing co-occurs with improvements in reading ability.
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14
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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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15
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Zhang Y, Tan F, Xu X, Duan L, Liu H, Tian F, Zhu CZ. Multiregional functional near-infrared spectroscopy reveals globally symmetrical and frequency-specific patterns of superficial interference. BIOMEDICAL OPTICS EXPRESS 2015; 6:2786-802. [PMID: 26309744 PMCID: PMC4541508 DOI: 10.1364/boe.6.002786] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Revised: 05/25/2015] [Accepted: 06/16/2015] [Indexed: 05/07/2023]
Abstract
Linear regression with short source-detector separation channels (S-channels) as references is an efficient way to overcome significant physiological interference from the superficial layer for functional near-infrared spectroscopy (fNIRS). However, the co-located configuration of S-channels and long source-detector separation channels (L-channels) is difficult to achieve in practice. In this study, we recorded superficial interference with S-channels in multiple scalp regions. We found that superficial interference has overall frequency-specific and globally symmetrical patterns. The performance of linear regression is also dependent on these patterns, indicating the possibility of simplifying the S-channel configurations for multiregional fNIRS imaging.
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Affiliation(s)
- Yujin Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Fulun Tan
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Xu Xu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Lian Duan
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Hanli Liu
- Department of Bioengineering, the University of Texas at Arlington, Arlington, TX 76010 USA
| | - Fenghua Tian
- Department of Bioengineering, the University of Texas at Arlington, Arlington, TX 76010 USA
| | - Chao-Zhe Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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