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Csizmadia P, Nagy B, Kővári L, Gaál ZA. Exploring the role of working memory gate opening process in creativity: An ERP study using the reference-back paradigm. Biol Psychol 2024; 187:108765. [PMID: 38417665 DOI: 10.1016/j.biopsycho.2024.108765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/16/2024] [Accepted: 02/23/2024] [Indexed: 03/01/2024]
Abstract
We investigated the relationship between the gate opening process of working memory and an individual's proficiency in divergent (DT) and convergent thinking (CT) using the reference-back paradigm. Event-related potentials and reaction times were measured across groups with varying DT (N = 40, 27.35 ± 5.05 years) and CT levels (N = 40, 27.88 ± 4.95 years). Based on the role of striatal dopamine in supporting cognitive flexibility, which facilitates DT, and considering the significance of phasic dopamine activity as the gate opening signal originating from the basal ganglia, we assumed that the gate opening process may contribute differently to DT and CT. Despite the absence of behavioural differences in gate opening costs, distinct neural patterns emerged. In the early time windows (P1, N1), gate opening effects were detected in both DT and CT groups, with a notable interaction influenced by the level of DT, resulting in significant effects within the lower DT group. The P2 component showed a gate opening effect only in the higher DT group. In the P3 time window, the process unfolded comparably in all groups. Our results suggest that groups with different levels of convergent thinking (based on Matrix reasoning) and those with lower DT (based on Creativity Index) tend to select and activate the prefrontal cortex representation containing the required task information at an earlier stage, compared to those with better DT. This could be beneficial especially in the early phase of idea generation, as more elements become available to create associations and original ideas.
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Affiliation(s)
- Petra Csizmadia
- Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Magyar tudósok körútja 2., H-1117 Budapest, Hungary; Department of Cognitive Science, Faculty of Natural Sciences, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
| | - Boglárka Nagy
- Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Magyar tudósok körútja 2., H-1117 Budapest, Hungary; Department of Cognitive Science, Faculty of Natural Sciences, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
| | - Lili Kővári
- Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Magyar tudósok körútja 2., H-1117 Budapest, Hungary; Doctoral School of Psychology, Eötvös Loránd University, Kazinczy utca 23-27., H-1075 Budapest, Hungary
| | - Zsófia Anna Gaál
- Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Magyar tudósok körútja 2., H-1117 Budapest, Hungary
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Huang X, Yin J, Liu X, Tan W, Lao M, Wang X, Liu S, Ou Q, Tang D, Wu W. The overgeneralization of pain-related fear in individuals with higher pain sensitivity: A behavioral and event-related potential study. Brain Res 2023; 1818:148473. [PMID: 37414269 DOI: 10.1016/j.brainres.2023.148473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 06/23/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023]
Abstract
Fear generalization contributes to the development and maintenance of pain. Pain sensitivity has been proposed to predict the strength of fear responses to aversive stimuli. However, whether individual variation in pain sensitivity affects pain-related fear generalization and its underlying cognitive processing remains unclear. To address this gap, we recorded behavioral and event-related potential (ERP) data among 22 high pain sensitivity (HPS) and 22 low pain sensitivity (LPS) healthy adults when exposed to a fear generalization paradigm. The behavioral results indicate that the HPS group displayed higher unconditioned stimulus expectancy and greater fear, arousal, and anxiety ratings to conditioned stimulus and generalization stimulus than the LPS group (all p values < 0.05). The ERP results showed that the HPS group exhibited a larger late positive potential evoked by GS2, GS3 and CS- (all p < 0.005) but a smaller N1 evoked by all CS and GSs (all p values < 0.05) relative to the LPS group. These findings suggest that individuals with a high level of pain sensitivity allocate more attention resources to pain-related threatening stimuli, which contributes to an overgeneralization of pain-related fear.
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Affiliation(s)
- Xiaomin Huang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Junxiao Yin
- Department of Clinical Medical College of Acupuncture and Rehabilitation, University of Traditional Chinese Medicine, Guangzhou, Guangdong 510006, China
| | - Xinli Liu
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Wenwei Tan
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Mengting Lao
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Xianglong Wang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Sishi Liu
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Qiling Ou
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Danzhe Tang
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Wen Wu
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China.
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Tian Z, Huang S, Wen S, Zhang Q, Huang K, Gui Y, Hu B, Feng L, Wang Q. Event-related potentials reveal visual episodic memory deficits in patients with temporal lobe epilepsy. Epilepsy Behav 2023; 148:109460. [PMID: 37839245 DOI: 10.1016/j.yebeh.2023.109460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 07/17/2023] [Accepted: 09/21/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE Temporal lobe epilepsy (TLE) patients usually suffer from impaired episodic memory (EM), but its underlying electrophysiologic mechanism and impacted cognitive performance are unclear. We aim to investigate the association between episodic memory reserve and physiological measures of memory workload in TLE patients using Event-related potentials (ERP). METHODS A change detection task with image stimuli assesses visual episodic memory. During the memory encoding and decoding phases, the ERP signals were analyzed from twenty-nine TLE patients (twelve with left TLE patients, seventeen with TLE), and thirty healthy controls. Given that EM is a complex process involving many fundamental cognitive processes, the amplitudes and latencies of EM-related ERP (FN400, late positive potential (LPC), and late posterior negativity (LPN)), and the ERP reflecting the fundamental processes (P100, N100, P200, and P300) were calculated. Then we used a three-by-two factorial design on the ERP metrics for interaction and main effects. The correlation analysis among Wechsler Memory Scales-Chinese Revision (WMS-RC) results, behavioral data, and the ERPs was carried out. RESULTS The TLE patients performed worse in WMS-RC and the memory task. The increased P200 and decreased P300 amplitudes were observed in the TLE patients, and LPN was abnormal in only LTLE patients. For EM-related components, differences were observed in both the LTLE and RTLE patients: the lack of the FN400 effect, the lack of the reversed LPC effect, and the reduced FN400. No significant inter-group difference was detected for the latencies of all the ERPs. Additionally, there were significant correlations among WMS-RC scores, behaviors, and some ERP amplitudes. CONCLUSIONS The impaired EM is linked to the increased P200 and decreased P300 amplitudes. LPN seems to be sensitive to left temporal lobe dysfunction. More importantly, the abnormal old or new effects of the FN400 and LPC, and the reduced FN400 amplitude might be associated with the visual EM deficit in the TLE patients. These findings may assist in the deep understanding of the EM disorder and the evaluation of the side effects of antiepileptic drugs.
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Affiliation(s)
- Ziwei Tian
- Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; University of Chinese Academy of Sciences, Beijing 101408, China; Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
| | - Sha Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 330000, China
| | - Shirui Wen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 330000, China
| | - Qiong Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 330000, China
| | - Kailing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 330000, China
| | - Yawei Gui
- Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; University of Chinese Academy of Sciences, Beijing 101408, China; Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
| | - Bingliang Hu
- Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
| | - Li Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 330000, China; Department of Neurology, Xiangya Hospital, Central South University (Jiangxi Branch), Nanchang, Jiangxi 410008, China.
| | - Quan Wang
- Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China; Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.
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Vecchio F, Nucci L, Pappalettera C, Miraglia F, Iacoviello D, Rossini PM. Time-frequency analysis of brain activity in response to directional and non-directional visual stimuli: an event related spectral perturbations (ERSP) study. J Neural Eng 2022; 19. [PMID: 36270505 DOI: 10.1088/1741-2552/ac9c96] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 10/21/2022] [Indexed: 01/11/2023]
Abstract
Objective.A large part of the cerebral cortex is dedicated to the processing of visual stimuli and there is still much to understand about such processing modalities and hierarchies. The main aim of the present study is to investigate the differences between directional visual stimuli (DS) and non-directional visual stimuli (n-DS) processing by time-frequency analysis of brain electroencephalographic activity during a visuo-motor task. Electroencephalography (EEG) data were divided into four regions of interest (ROIs) (frontal, central, parietal, occipital).Approach.The analysis of the visual stimuli processing was based on the combination of electroencephalographic recordings and time-frequency analysis. Event related spectral perturbations (ERSPs) were computed with spectrum analysis that allow to obtain the average time course of relative changes induced by the stimulus presentation in spontaneous EEG amplitude spectrum.Main results.Visual stimuli processing enhanced the same pattern of spectral modulation in all investigated ROIs with differences in amplitudes and timing. Additionally, statistically significant differences in occipital ROI between the DS and n-DS visual stimuli processing in theta, alpha and beta bands were found.Significance.These evidences suggest that ERSPs could be a useful tool to investigate the encoding of visual information in different brain regions. Because of their simplicity and their capability in the representation of brain activity, the ERSPs might be used as biomarkers of functional recovery for example in the rehabilitation of visual dysfunction and motor impairment following a stroke, as well as diagnostic tool of anomalies in brain functions in neurological diseases tailored to personalized treatments in clinical environment.
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Affiliation(s)
- Fabrizio Vecchio
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.,Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy
| | - Lorenzo Nucci
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy
| | - Chiara Pappalettera
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.,Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy
| | - Francesca Miraglia
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.,Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy
| | - Daniela Iacoviello
- Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza University of Rome, Rome, Italy
| | - Paolo Maria Rossini
- Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy
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Wang CC, Cheng PKH, Wang TH. Measurement of Extraneous and Germane Cognitive Load in the Mathematics Addition Task: An Event-Related Potential Study. Brain Sci 2022; 12:brainsci12081036. [PMID: 36009099 PMCID: PMC9406012 DOI: 10.3390/brainsci12081036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/20/2022] [Accepted: 07/29/2022] [Indexed: 11/16/2022] Open
Abstract
Cognitive load significantly influences learning effectiveness. All the three types of cognitive load—intrinsic, extraneous, and germane—are important for guiding teachers in preparing effective instructional designs for students. However, the techniques used to assess the relationship between brain activity and cognitive load during learning activities require further investigation. This study preliminarily examined cognitive load during mathematics computations based on cognitive-load theory. We used event-related potentials to compare carryover and without carryover additions under three types of stimuli (uncoloured Arabic numerals, colourful Arabic numerals, and Chinese numerals) to measure learners’ cognitive load. According to the concept and rationale of cognitive-load theory, the design defined the extraneous and germane cognitive load to measure the N1 and P2 components and the relevant behavioural data. The highest P2 amplitude was observed in the Chinese numerals condition as extraneous cognitive load, and the N1 component was observed in the colourful Arabic numerals condition as germane cognitive load. Thus, both components may play an important role in extraneous and germane cognitive load. Additionally, these exhibit negative correlations during mathematical computations. This study’s findings and implications offer insights into future ways for assessing cognitive load using brain imaging techniques and potential applications for brain–computer interfaces.
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Affiliation(s)
- Chao-Chih Wang
- Research Center for Education and Mind Sciences, National Tsing Hua University, Hsinchu 300193, Taiwan
- School of Education Sciences, Huizhou University, Huizhou 516007, China
| | - Peter Kuan-Hao Cheng
- Research Center for Education and Mind Sciences, National Tsing Hua University, Hsinchu 300193, Taiwan
- Center for Research in Cognitive Sciences, National Chung Cheng University, Chiayi 621301, Taiwan
| | - Tzu-Hua Wang
- Research Center for Education and Mind Sciences, National Tsing Hua University, Hsinchu 300193, Taiwan
- Department of Education and Learning Technology, National Tsing Hua University, Hsinchu 300193, Taiwan
- Correspondence:
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Tang Z, Liu X, Huo H, Tang M, Liu T, Wu Z, Qiao X, Chen D, An R, Dong Y, Fan L, Wang J, Du X, Fan Y. The role of low-frequency oscillations in three-dimensional perception with depth cues in virtual reality. Neuroimage 2022; 257:119328. [PMID: 35605766 DOI: 10.1016/j.neuroimage.2022.119328] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/15/2022] [Accepted: 05/19/2022] [Indexed: 10/18/2022] Open
Abstract
Currently, vision-related neuroscience studies are undergoing a trend from simplified image stimuli toward more naturalistic stimuli. Virtual reality (VR), as an emerging technology for visual immersion, provides more depth cues for three-dimensional (3D) presentation than two-dimensional (2D) image. It is still unclear whether the depth cues used to create 3D visual perception modulate specific cortical activation. Here, we constructed two visual stimuli presented by stereoscopic vision in VR and graphical projection with 2D image, respectively, and used electroencephalography to examine neural oscillations and their functional connectivity during 3D perception. We find that neural oscillations are specific to delta and theta bands in stereoscopic vision and the functional connectivity in the both bands increase in cortical areas related to visual pathways. These findings indicate that low-frequency oscillations play an important role in 3D perception with depth cues.
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Affiliation(s)
- Zhili Tang
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Xiaoyu Liu
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100083, China.
| | - Hongqiang Huo
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Min Tang
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Tao Liu
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Zhixin Wu
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Xiaofeng Qiao
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Duo Chen
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Ran An
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Ying Dong
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Linyuan Fan
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Jinghui Wang
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Xin Du
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Yubo Fan
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education; Beijing Advanced Innovation Center for Biomedical Engineering; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; School of Medical Science and Engineering Medicine, Beihang University, Beijing 100083, China; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100083, China.
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Hu R, Zhang L, Meng P, Meng X, Weng M. The Neural Responses of Visual Complexity in the Oddball Paradigm: An ERP Study. Brain Sci 2022; 12:447. [PMID: 35447979 PMCID: PMC9032384 DOI: 10.3390/brainsci12040447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/22/2022] [Accepted: 03/25/2022] [Indexed: 12/10/2022] Open
Abstract
This research measured human neural responses to images of different visual complexity levels using the oddball paradigm to explore the neurocognitive responses of complexity perception in visual processing. In the task, 24 participants (12 females) were required to react to images with high complexity for all stimuli. We hypothesized that high-complexity stimuli would induce early visual and attentional processing effects and may elicit the visual mismatch negativity responses and the emergence of error-related negativity. Our results showed that the amplitude of P1 and N1 were unaffected by complexity in the early visual processing. Under the target stimuli, both N2 and P3b components were reported, suggesting that the N2 component was sensitive to the complexity deviation, and the attentional processing related to complexity may be derived from the occipital zone according to the feature of the P3b component. In addition, compared with the low-complexity stimulus, the high-complexity stimulus aroused a larger amplitude of the visual mismatch negativity. The detected error negativity (Ne) component reflected the error detection of the participants’ mismatch between visual complexity and psychological expectations.
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Sheikhani A, Akbari H, Nasrabadi A, Mohammadi M, Ghoshuni M. Evaluating the effect of quran memorizing on the event-related potential features by using graphs created from the neural gas networks. J Med Signals Sens 2022; 12:48-56. [PMID: 35265465 PMCID: PMC8804591 DOI: 10.4103/jmss.jmss_75_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 07/14/2021] [Accepted: 08/01/2021] [Indexed: 11/06/2022]
Abstract
Background: Quran memorizing causes a state of trance, which its result is the changes in the amplitude and time of P300 and N200 components in the event related potential (ERP) signal. Nevertheless, a limited number of studies that have examined the effects of Quran memorizing on brain signals to enhance relaxation and attention, and improve the lives of patients with autism and stroke, generally have not presented any analysis based on comparing structural differences relevant to features extracted from ERP signal obtained from the two groups of Quran memorizer and nonmemorizer by using the hybrid of graph theory and competitive networks. Methods: In this study, we investigated structural differences relevant to the graph obtained from the weight of neural gas (NG) and growing NG (GNG) networks trained by features extracted from the ERP signal recorded from two groups during the PRM test. In this analysis, we actually estimated the ERP signal by averaging the brain background data in the recovery phase. Then, we extracted six features related to the power and the complexity of these signals and selected optimal channels in each of the features by using the t test analysis. Then, these features extracted from the optimal channels are applied for developing the NG and GNG networks. Finally, we evaluated different parameters calculated from graphs, in which their connection matrix was obtained from the weight matrix of the networks. Results: The outcomes of this analysis show that increasing the power of low frequency components and the power ratio of low frequency components to high frequency components in the memorizers, which represents patience, concentration, and relaxation, is more than that of the nonmemorizers. These outcomes also show that the optimal channels in different features, which were often in frontal, peritoneal, and occipital regions, had a significant difference (P < 0.05). It is remarkable that two parameters of the graphs established based on two competitive networks, i.e. average path length and the average of the weights in the memorizers, were larger than the nonmemorizers, which means more data scattering in this group. Conclusion: This condition in the mentioned graphs suggests that the Quran memorizing causes a significant change in ERP signals, so that its features have usually more scattering.
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Tian F, Zhang Y, Li Y. From 2D to VR Film: A Research on the Load of Different Cutting Rates Based on EEG Data Processing. Information 2021; 12:130. [DOI: 10.3390/info12030130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Focusing on virtual reality (VR) and film cutting, this study compared and evaluated the effect of visual mode (2D, VR) and cutting rate (fast, medium, slow) on a load, to make an attempt for VR research to enter the cognitive field. This study uses a 2 × 3 experimental research design. Forty participants were divided into one of two groups randomly and watched films with three cutting rates. The subjective and objective data were collected during the experiment. The objective results confirm that VR films bring more powerful alpha, beta, theta wave activities, and bring a greater load. The subjective results confirm that the fast cutting rate brings a greater load. These results provide a theoretical support for further exploring the evaluation methods and standards of VR films and improving the viewing experience in the future.
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Desaunay P, Clochon P, Doidy F, Lambrechts A, Wantzen P, Wallois F, Mahmoudzadeh M, Guile J, Guénolé F, Baleyte J, Eustache F, Bowler DM, Guillery‐girard B. Exploring the Event‐Related Potentials' Time Course of Associative Recognition in Autism. Autism Res 2020; 13:1998-2016. [DOI: 10.1002/aur.2384] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 07/20/2020] [Accepted: 07/30/2020] [Indexed: 11/07/2022]
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