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Leong VS, Yu J, Castor K, Al-Ezzi A, Arakaki X, Fonteh AN. Associations of Plasma Glutamatergic Metabolites with Alpha Desynchronization during Cognitive Interference and Working Memory Tasks in Asymptomatic Alzheimer's Disease. Cells 2024; 13:970. [PMID: 38891102 PMCID: PMC11171970 DOI: 10.3390/cells13110970] [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: 04/13/2024] [Revised: 05/23/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
Electroencephalogram (EEG) studies have suggested compensatory brain overactivation in cognitively healthy (CH) older adults with pathological beta-amyloid(Aβ42)/tau ratios during working memory and interference processing. However, the association between glutamatergic metabolites and brain activation proxied by EEG signals has not been thoroughly investigated. We aim to determine the involvement of these metabolites in EEG signaling. We focused on CH older adults classified under (1) normal CSF Aβ42/tau ratios (CH-NATs) and (2) pathological Aβ42/tau ratios (CH-PATs). We measured plasma glutamine, glutamate, pyroglutamate, and γ-aminobutyric acid concentrations using tandem mass spectrometry and conducted a correlational analysis with alpha frequency event-related desynchronization (ERD). Under the N-back working memory paradigm, CH-NATs presented negative correlations (r = ~-0.74--0.96, p = 0.0001-0.0414) between pyroglutamate and alpha ERD but positive correlations (r = ~0.82-0.95, p = 0.0003-0.0119) between glutamine and alpha ERD. Under Stroop interference testing, CH-NATs generated negative correlations between glutamine and left temporal alpha ERD (r = -0.96, p = 0.037 and r = -0.97, p = 0.027). Our study demonstrated that glutamine and pyroglutamate levels were associated with EEG activity only in CH-NATs. These results suggest cognitively healthy adults with amyloid/tau pathology experience subtle metabolic dysfunction that may influence EEG signaling during cognitive challenge. A longitudinal follow-up study with a larger sample size is needed to validate these pilot studies.
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Affiliation(s)
- Vincent Sonny Leong
- Cognition and Brain Integration Laboratory, Neurosciences Department, Huntington Medical Research Institutes, Pasadena, CA 91105, USA (X.A.)
| | - Jiaquan Yu
- Biomarker and Neuro-Disease Mechanism Laboratory, Neurosciences Department, Huntington Medical Research Institutes, Pasadena, CA 91105, USA
| | - Katherine Castor
- Biomarker and Neuro-Disease Mechanism Laboratory, Neurosciences Department, Huntington Medical Research Institutes, Pasadena, CA 91105, USA
| | - Abdulhakim Al-Ezzi
- Cognition and Brain Integration Laboratory, Neurosciences Department, Huntington Medical Research Institutes, Pasadena, CA 91105, USA (X.A.)
| | - Xianghong Arakaki
- Cognition and Brain Integration Laboratory, Neurosciences Department, Huntington Medical Research Institutes, Pasadena, CA 91105, USA (X.A.)
| | - Alfred Nji Fonteh
- Biomarker and Neuro-Disease Mechanism Laboratory, Neurosciences Department, Huntington Medical Research Institutes, Pasadena, CA 91105, USA
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Hung SM, Adams SW, Molloy C, Wu DA, Shimojo S, Arakaki X. Practice makes imperfect: stronger implicit interference with practice in individuals at high risk of developing Alzheimer's disease. GeroScience 2024; 46:2777-2786. [PMID: 37817004 PMCID: PMC10828369 DOI: 10.1007/s11357-023-00953-9] [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: 05/17/2023] [Accepted: 09/19/2023] [Indexed: 10/12/2023] Open
Abstract
Early screening to determine patient risk of developing Alzheimer's will allow better interventions and planning but necessitates accessible methods such as behavioral biomarkers. Previously, we showed that cognitively healthy older individuals whose cerebrospinal fluid amyloid/tau ratio indicates high risk of cognitive decline experienced implicit interference during a high-effort task, signaling early changes in attention. To further investigate attention's effect on implicit interference, we analyzed two experiments completed sequentially by the same high- and low-risk individuals. We hypothesized that if attention modulates interference, practice would affect the influence of implicit distractors. Indeed, while both groups experienced a strong practice effect, the association between practice and interference effects diverged between groups: stronger practice effects correlated with more implicit interference in high-risk participants, but less interference in low-risk individuals. Furthermore, low-risk individuals showed a positive correlation between implicit interference and EEG low-range alpha event-related desynchronization when switching from high- to low-load tasks. This suggests that lower attention on the task was correlated with stronger interference, a typical phenomenon in the younger population. These results demonstrate how attention impacts implicit interference and highlight early differences in perception between high- and low-risk individuals.
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Affiliation(s)
- Shao-Min Hung
- Waseda Institute for Advanced Study, Waseda University, Tokyo, Japan.
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan.
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - Sara W Adams
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Cathleen Molloy
- Cognition and Brain Integration Laboratory, Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA
| | - Daw-An Wu
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Shinsuke Shimojo
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
- Computation and Neural Systems, California Institute of Technology, Pasadena, CA, USA.
| | - Xianghong Arakaki
- Cognition and Brain Integration Laboratory, Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA.
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Noguchi Y. Harmonic memory signals in the human cerebral cortex induced by semantic relatedness of words. NPJ SCIENCE OF LEARNING 2024; 9:6. [PMID: 38355685 PMCID: PMC10866900 DOI: 10.1038/s41539-024-00221-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 02/05/2024] [Indexed: 02/16/2024]
Abstract
When we memorize multiple words simultaneously, semantic relatedness among those words assists memory. For example, the information about "apple", "banana," and "orange" will be connected via a common concept of "fruits" and become easy to retain and recall. Neural mechanisms underlying this semantic integration in verbal working memory remain unclear. Here I used electroencephalography (EEG) and investigated neural signals when healthy human participants memorized five nouns semantically related (Sem trial) or not (NonSem trial). The regularity of oscillatory signals (8-30 Hz) during the retention period was found to be lower in NonSem than Sem trials, indicating that memorizing words unrelated to each other induced a non-harmonic (irregular) waveform in the temporal cortex. These results suggest that (i) semantic features of a word are retained as a set of neural oscillations at specific frequencies and (ii) memorizing words sharing a common semantic feature produces harmonic brain responses through a resonance or integration (sharing) of the oscillatory signals.
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Affiliation(s)
- Yasuki Noguchi
- Department of Psychology, Graduate School of Humanities, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe, 657-8501, Japan.
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Molloy C, Choy EH, Arechavala RJ, Buennagel D, Nolty A, Spezzaferri MR, Sin C, Rising S, Yu J, Al-Ezzi A, Kleinman MT, Kloner RA, Arakaki X. Resting heart rate (variability) and cognition relationships reveal cognitively healthy individuals with pathological amyloid/tau ratio. FRONTIERS IN EPIDEMIOLOGY 2023; 3:1168847. [PMID: 37587981 PMCID: PMC10428767 DOI: 10.3389/fepid.2023.1168847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
Introduction Resting heart rate (HR) and heart rate variability (HRV) have been linked with cognition in the general population and in older individuals. The knowledge of this aspect of heart-brain relationship is relatively absent in older individuals with early Alzheimer's disease (AD) pathology. This study explores relationships of the HR, HRV, and cognition in cognitively healthy individuals with pathological amyloid/tau ratio (CH-PATs) in cerebral spinal fluid (CSF) compared to those with normal ratio (CH-NATs). Methods We examined therelationshipsbetween1) resting HR and Mini-Mental State Examination (MMSE); 2) resting HR and brain processing during Stroop interference; and 3) resting vagally mediated HRV (vmHRV) and task switching performance. Results Our studies showed that compared to CH-NATs, those CH-PATs with higher resting HR presented with lower MMSE, and less brain activation during interference processing. In addition, resting vmHRV was significantly correlated with task switching accuracy in CH-NATs, but not in CH-PATs. Discussion Thesethreedifferenttestsindicatedysfunctionalheart-brainconnections in CH-PATs, suggesting a potential cardio-cerebral dysfunctional integration.
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Affiliation(s)
- Cathleen Molloy
- Cognition and Brain Integration Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Elizabeth H. Choy
- Department of Environmental and Occupational Health, University of California, Irvine, Irvine, CA, United States
| | - Rebecca J. Arechavala
- Department of Environmental and Occupational Health, University of California, Irvine, Irvine, CA, United States
| | - David Buennagel
- Clinical Neuroscience Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Anne Nolty
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Mitchell R. Spezzaferri
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Caleb Sin
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Shant Rising
- Graduate School of Psychology & Marriage and Family Therapy, Fuller Theological Seminary, Pasadena, CA, United States
| | - Jeremy Yu
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, United States
| | - Abdulhakim Al-Ezzi
- Cognition and Brain Integration Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Michael T. Kleinman
- Department of Environmental and Occupational Health, University of California, Irvine, Irvine, CA, United States
| | - Robert A. Kloner
- Clinical Neuroscience Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
- Cardiovascular Research, Huntington Medical Research Institutes, Pasadena, CA, United States
- Cardiovascular Division, Department of Medicine, Keck School of Medicine at University of Southern California, Los Angeles, CA, United States
| | - Xianghong Arakaki
- Cognition and Brain Integration Laboratory, Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
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5
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Hung SM, Adams SW, Molloy C, Wu DA, Shimojo S, Arakaki X. Practice makes imperfect: stronger implicit interference with practice in individuals at high risk of developing Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.16.541059. [PMID: 37292951 PMCID: PMC10245765 DOI: 10.1101/2023.05.16.541059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Early screening to determine patient risk of developing Alzheimer's will allow better interventions and planning but necessitates accessible methods such as behavioral biomarkers. Previously, we showed that cognitively healthy older individuals whose cerebrospinal fluid amyloid / tau ratio indicates high risk of cognitive decline experienced implicit interference during a high-effort task, signaling early changes in attention. To further investigate attention's effect on implicit interference, we analyzed two experiments completed sequentially by the same high- and low-risk individuals. We hypothesized that if attention modulates interference, practice would affect the influence of implicit distractors. Indeed, while both groups experienced a strong practice effect, the association between practice and interference effects diverged between groups: stronger practice effects correlated with more implicit interference in high-risk participants, but less interference in low-risk individuals. Furthermore, low-risk individuals showed a positive correlation between implicit interference and EEG low-range alpha event-related desynchronization when switching from high- to low-load tasks. These results demonstrate how attention impacts implicit interference and highlight early differences in cognition between high- and low-risk individuals.
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Affiliation(s)
- Shao-Min Hung
- Waseda Institute for Advanced Study, Waseda University, Tokyo, Japan
- Faculty of Science and Engineering, Waseda University, Tokyo, Japan
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Sara W. Adams
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Cathleen Molloy
- Cognition and Brain Integration Laboratory, Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA
| | - Daw-An Wu
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Shinsuke Shimojo
- Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
- Computation and Neural Systems, California Institute of Technology, Pasadena, CA, USA
| | - Xianghong Arakaki
- Cognition and Brain Integration Laboratory, Department of Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, USA
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Hung S, Wu D, Shimojo S, Arakaki X. Stronger implicit interference in cognitively healthy older participants with higher risk of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12340. [PMID: 36187196 PMCID: PMC9489163 DOI: 10.1002/dad2.12340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 06/05/2022] [Accepted: 06/10/2022] [Indexed: 01/09/2023]
Abstract
Introduction Abnormal cerebrospinal fluid amyloid beta (Aβ)42 and tau levels have been revealed decades before symptoms onset in Alzheimer's disease (AD); however, the examination is usually invasive and inaccessible to most people. We thus aimed to develop a non-invasive behavioral test that targets early potential cognitive changes to gauge cognitive decline. Specifically, we hypothesized that older cognitive healthy participants would exhibit comparable performance when the task was explicit and relied on conscious cognition. However, when the task was implicit, the performance of participants at high and low risks for AD would bifurcate. That is, early changes in unconscious cognition could be linked to cognitive health. Methods We measured implicit interference elicited by an imperceptible distractor in cognitively healthy elderly participants with normal (low risk) and pathological (high risk) Aβ42/total tau ratio. Participants were required to perform a Stroop task (word-naming or color-naming on an ink-semantics inconsistent word) with a visually masked distractor presented prior to the target task. Results We found that, under a high-effort task (i.e., color-naming in the Stroop task), high-risk participants suffered interference when the imperceptible distractor and the subsequent target were incongruent in the responses they triggered. Their reaction times were slowed down by approximately 4%. This implicit interference was not found in the low-risk participants. Discussion These findings indicate that weakened inhibition of distracting implicit information can be a potential behavioral biomarker of early identification of AD pathology. Our study thus offers a new experimental paradigm to reveal early pathological aging by assessing how individuals respond to subperceptual threshold visual stimuli.
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Affiliation(s)
- Shao‐Min Hung
- Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaCaliforniaUSA,Faculty of Science and EngineeringWaseda UniversityTokyoJapan
| | - Daw‐An Wu
- Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaCaliforniaUSA
| | - Shinsuke Shimojo
- Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaCaliforniaUSA,Computation and Neural SystemsCalifornia Institute of TechnologyPasadenaCaliforniaUSA
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7
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Li X, Liu Y, Kang J, Sun Y, Xu Y, Yuan Y, Han Y, Xie P. Identifying Amnestic Mild Cognitive Impairment With Convolutional Neural Network Adapted to the Spectral Entropy Heat Map of the Electroencephalogram. Front Hum Neurosci 2022; 16:924222. [PMID: 35874151 PMCID: PMC9298556 DOI: 10.3389/fnhum.2022.924222] [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: 04/20/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Mild cognitive impairment (MCI) is a preclinical stage of Alzheimer's disease (AD), and early diagnosis and intervention may delay its deterioration. However, the electroencephalogram (EEG) differences between patients with amnestic mild cognitive impairment (aMCI) and healthy controls (HC) subjects are not as significant compared to those with AD. This study addresses this situation by proposing a computer-aided diagnostic method that also aims to improve model performance and assess the sensitive areas of the subject's brain. The EEG data of 46 subjects (20HC/26aMCI) were enhanced with windowed moving segmentation and transformed from 1D temporal data to 2D spectral entropy images to measure the efficient information in the time-frequency domain from the point of view of information entropy; A novel convolution module is devised, which considerably reduces the number of model learning parameters and saves computing resources on the premise of ensuring diagnostic performance; One more thing, the cognitive diagnostic contribution of the corresponding channels in each brain region was measured by the weight coefficient of the input and convolution unit. Our results showed that when the segmental window overlap rate was increased from 0 to 75%, the corresponding generalization accuracy increased from 91.673 ± 0.9578% to 94.642 ± 0.4035%; Approximately 35% reduction in model learnable parameters by optimizing the network structure while maintaining accuracy; The top four channels were FP1, F7, T5, and F4, corresponding to the frontal and temporal lobes, in descending order of the mean value of the weight coefficients. This paper proposes a novel method based on spectral entropy image and convolutional neural network (CNN), which provides a new perspective for the identifying of aMCI based on EEG.
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Affiliation(s)
- Xin Li
- Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, China
| | - Yi Liu
- Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, China
| | - Jiannan Kang
- College of Electronic and Information Engineering, Hebei University, Baoding, China
| | - Yu Sun
- China-Japan Friendship Hospital, Beijing, China
| | - Yonghong Xu
- Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, China
| | - Yi Yuan
- Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ping Xie
- Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, China
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8
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Arakaki X, Hung SM, Rochart R, Fonteh AN, Harrington MG. Alpha desynchronization during Stroop test unmasks cognitively healthy individuals with abnormal CSF Amyloid/Tau. Neurobiol Aging 2022; 112:87-101. [PMID: 35066324 PMCID: PMC8976735 DOI: 10.1016/j.neurobiolaging.2021.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 11/27/2021] [Accepted: 11/30/2021] [Indexed: 01/15/2023]
Abstract
Synaptic dysfunctions precede cognitive decline in Alzheimer's disease by decades, affect executive functions, and can be detected by quantitative electroencephalography (qEEG). We used quantitative electroencephalography combined with Stroop testing to identify changes of inhibitory controls in cognitively healthy individuals with an abnormal versus normal ratio of cerebrospinal fluid (CSF) amyloid/total-tau. We studied two groups of participants (60-94 years) with either normal (CH-NAT or controls, n = 20) or abnormal (CH-PAT, n = 21) CSF amyloid/tau ratio. We compared: alpha event-related desynchronization (ERD), alpha spectral entropy (SE), and their relationships with estimated cognitive reserve. CH-PATs had more negative occipital alpha ERD, and higher frontal and occipital alpha SE during low load congruent trials, indicating hyperactivity. CH-PATs demonstrated fewer frontal SE changes with higher load, incongruent Stroop testing. Correlations of alpha ERD with estimated cognitive reserve were significant in CH-PATs but not in CH-NATs. These results suggested compensatory hyperactivity in CH-PATs compared to CH-NATs. We did not find differences in alpha ERD comparisons with individual CSF amyloid(A), p-tau(T), total-tau(N) biomarkers.
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9
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Diaz-Pacheco V, Vargas-Medrano J, Tran E, Nicolas M, Price D, Patel R, Tonarelli S, Gadad BS. Prognosis and Diagnostic Biomarkers of Mild Traumatic Brain Injury: Current Status and Future Prospects. J Alzheimers Dis 2022; 86:943-959. [PMID: 35147534 DOI: 10.3233/jad-215158] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Mild traumatic brain injury (mTBI) is the most prevalent type of TBI (80-90%). It is characterized by a loss consciousness for less than 30 minutes, post-traumatic amnesia for less than 24 hours, and Glasgow Coma Score of 13-15. Accurately diagnosing mTBIs can be a challenge because the majority of these injuries do not show noticeable or visible changes on neuroimaging studies. Appropriate determination of mTBI is tremendously important because it might lead in some cases to post-concussion syndrome, cognitive impairments including attention, memory, and speed of information processing problems. The scientists have studied different methods to improve mTBI diagnosis and enhanced approaches that would accurately determine the severity of the trauma. The present review focuses on discussing the role of biomarkers as potential key factors in diagnosing mTBI. The present review focuses on 1) protein based peripheral and CNS markers, 2) genetic biomarkers, 3) imaging biomarkers, 4) neurophysiological biomarkers, and 5) the studies and clinical trials in mTBI. Each section provides information and characteristics on different biomarkers for mTBI.
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Affiliation(s)
- Valeria Diaz-Pacheco
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA.,Southwest Brain Bank, Texas Tech University Health Science Center, El Paso, TX, USA
| | - Javier Vargas-Medrano
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA.,Southwest Brain Bank, Texas Tech University Health Science Center, El Paso, TX, USA
| | - Eric Tran
- Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA
| | - Meza Nicolas
- Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA
| | - Diamond Price
- The Chicago School of Professional Psychology, Irvine, CA, USA
| | - Richa Patel
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA
| | - Silvina Tonarelli
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA
| | - Bharathi S Gadad
- Department of Psychiatry, Paul L. Foster School of Medicine, Texas Tech University Health Science Center, El Paso, TX, USA.,Southwest Brain Bank, Texas Tech University Health Science Center, El Paso, TX, USA
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Obert DP, Hight D, Sleigh J, Kaiser HA, García PS, Schneider G, Kreuzer M. The First Derivative of the Electroencephalogram Facilitates Tracking of Electroencephalographic Alpha Band Activity During General Anesthesia. Anesth Analg 2021; 134:1062-1071. [PMID: 34677164 DOI: 10.1213/ane.0000000000005783] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Intraoperative neuromonitoring can help to navigate anesthesia. Pronounced alpha oscillations in the frontal electroencephalogram (EEG) appear to predict favorable perioperative neurocognitive outcomes and may also provide a measure of intraoperative antinociception. Monitoring the presence and strength of these alpha oscillations can be challenging, especially in elderly patients, because the EEG in these patients may be dominated by oscillations in other frequencies. Hence, the information regarding alpha oscillatory activity may be hidden and hard to visualize on a screen. Therefore, we developed an effective approach to improve the detection and presentation of alpha activity in the perioperative setting. METHODS We analyzed EEG records of 180 patients with a median age of 60 years (range, 18-90 years) undergoing noncardiac, nonneurologic surgery under general anesthesia with propofol induction and sevoflurane maintenance. We calculated the power spectral density (PSD) for the unprocessed EEG as well as for the time-discrete first derivative of the EEG (diffPSD) from 10-second epochs. Based on these data, we estimated the power-law coefficient κ of the PSD and diffPSD, as the EEG coarsely follows a 1/fκ distribution when displayed in double logarithmic coordinates. In addition, we calculated the alpha (7.8-12.1 Hz) to delta (0.4-4.3 Hz) ratio from the PSD as well as diffPSD. RESULTS The median κ was 0.899 [first and third quartile: 0.786, 0.986] for the unaltered PSD, and κ = -0.092 [-0.202, -0.013] for the diffPSD, corresponding to an almost horizontal PSD of the differentiated EEG. The alpha-to-delta ratio of the diffPSD was strongly increased (median ratio = -8.0 dB [-10.5, -4.7 dB] for the unaltered PSD versus 30.1 dB [26.1, 33.8 dB] for the diffPSD). A strong narrowband oscillatory alpha power component (>20% of total alpha power) was detected in 23% using PSD, but in 96% of the diffPSD. CONCLUSIONS We demonstrated that the calculation of the diffPSD from the time-discrete derivative of the intraoperative frontal EEG is a straightforward approach to improve the detection of alpha activity by eliminating the broadband background noise. This improvement in alpha peak detection and visualization could facilitate the guidance of general anesthesia and improve patient outcome.
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Affiliation(s)
- David P Obert
- From the Department of Anesthesiology and Intensive Care Medicine, Technical University of Munich, School of Medicine, Munich, Germany
| | - Darren Hight
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jamie Sleigh
- Department of Anaesthesia, Waikato Clinical School, University of Auckland, Hamilton, New Zealand
| | - Heiko A Kaiser
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Paul S García
- Department of Anesthesiology, Columbia University, New York, New York
| | - Gerhard Schneider
- From the Department of Anesthesiology and Intensive Care Medicine, Technical University of Munich, School of Medicine, Munich, Germany
| | - Matthias Kreuzer
- From the Department of Anesthesiology and Intensive Care Medicine, Technical University of Munich, School of Medicine, Munich, Germany
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11
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Arechavala RJ, Rochart R, Kloner RA, Liu A, Wu DA, Hung SM, Shimojo S, Fonteh AN, Kleinman MT, Harrington MG, Arakaki X. Task switching reveals abnormal brain-heart electrophysiological signatures in cognitively healthy individuals with abnormal CSF amyloid/tau, a pilot study. Int J Psychophysiol 2021; 170:102-111. [PMID: 34666107 PMCID: PMC8865562 DOI: 10.1016/j.ijpsycho.2021.10.007] [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: 04/29/2021] [Revised: 10/03/2021] [Accepted: 10/12/2021] [Indexed: 11/07/2022]
Abstract
Electroencephalographic (EEG) alpha oscillations have been related to heart rate variability (HRV) and both change in Alzheimer’s disease (AD). We explored if task switching reveals altered alpha power and HRV in cognitively healthy individuals with AD pathology in cerebrospinal fluid (CSF) and whether HRV improves the AD pathology classification by alpha power alone. We compared low and high alpha event-related desynchronization (ERD) and HRV parameters during task switch testing between two groups of cognitively healthy participants classified by CSF amyloid/tau ratio: normal (CH-NAT, n = 19) or pathological (CH-PAT, n = 27). For the task switching paradigm, participants were required to name the color or word for each colored word stimulus, with two sequential stimuli per trial. Trials include color (cC) or word (wW) repeats with low load repeating, and word (cW) or color switch (wC) for high load switching. HRV was assessed for RR interval, standard deviation of RR-intervals (SDNN) and root mean squared successive differences (RMSSD) in time domain, and low frequency (LF), high frequency (HF), and LF/HF ratio in frequency domain. Results showed that CH-PATs compared to CH-NATs presented: 1) increased (less negative) low alpha ERD during low load repeat trials and lower word switch cost (low alpha: p = 0.008, Cohen’s d = −0.83, 95% confidence interval −1.44 to −0.22, and high alpha: p = 0.019, Cohen’s d = −0.73, 95% confidence interval −1.34 to −0.13); 2) decreasing HRV from rest to task, suggesting hyper-activated sympatho-vagal responses. 3) CH-PATs classification by alpha ERD was improved by supplementing HRV signatures, supporting a potentially compromised brain-heart interoceptive regulation in CH-PATs. Further experiments are needed to validate these findings for clinical significance.
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Affiliation(s)
| | - Roger Rochart
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA 91105, USA
| | - Robert A Kloner
- Cardiovascular Research, Huntington Medical Research Institutes, Pasadena, CA 91105, USA; Division of Cardiovascular Medicine, Dept of Medicine, Keck School of Medicine at University of Southern California, Los Angeles, CA 90033, USA
| | - Anqi Liu
- Department of Computing and Mathematical Sciences (CMS), California Institute of Technology, Pasadena, CA 91125, USA; Department of Computer Science, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Daw-An Wu
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Shao-Min Hung
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Shinsuke Shimojo
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Alfred N Fonteh
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA 91105, USA
| | | | - Michael G Harrington
- Neurology, Keck School of Medicine at University of Southern California, Los Angeles, CA 90033, USA
| | - Xianghong Arakaki
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA 91105, USA.
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12
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Quantitative EEG measures in profoundly deaf and normal hearing individuals while performing a vibrotactile temporal discrimination task. Int J Psychophysiol 2021; 166:71-82. [PMID: 34023377 DOI: 10.1016/j.ijpsycho.2021.05.007] [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: 04/30/2020] [Revised: 05/10/2021] [Accepted: 05/16/2021] [Indexed: 11/22/2022]
Abstract
Challenges in early oral language acquisition in profoundly deaf individuals have an impact on cognitive neurodevelopment. This has led to the exploration of alternative sound perception methods involving training of vibrotactile discrimination of sounds within the language spectrum. In particular, stimulus duration plays an important role in linguistic categorical perception. We comparatively evaluated vibrotactile temporal discrimination of sound and how specific training can modify the underlying electrical brain activity. Fifteen profoundly deaf (PD) and 15 normal-hearing (NH) subjects performed a vibrotactile oddball task with simultaneous EEG recording, before and after a short training period (5 one-hour sessions; in 2.5-3 weeks). The stimuli consisted of 700 Hz pure-tones with different duration (target: long 500 ms; non-target: short 250 ms). The sound-wave stimuli were delivered by a small device worn on the right index finger. A similar behavioral training effect was observed in both groups showing significant improvement in sound-duration discrimination. However, quantitative EEG measurements reveal distinct neurophysiological patterns characterized by higher and more diffuse delta band magnitudes in the PD group, together with a generalized decrement in absolute power in both groups that might reflect a facilitating process associated to learning. Furthermore, training-related changes were found in the beta-band in NH. Findings suggest PD have different cognitive adaptive mechanisms which are not a mere amplification effect due to greater cortical excitability.
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13
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The Possible Effect of Space Weather Factors on Various Physiological Systems of the Human Organism. ATMOSPHERE 2021. [DOI: 10.3390/atmos12030346] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A systematic review of heliobiological studies of the last 25 years devoted to the study of the potential influence of space weather factors on human health and well-being was carried out. We proposed three criteria (coordinates), according to which the work on solar–biospheric relations was systematized: the time scale of data sampling (years, days, hours, minutes); the level of organization of the biological system under study (population, group, individual, body system); and the degree of system response (norm, adaptation, failure of adaptation (illness), disaster (death)). This systematic review demonstrates that three parameters mentioned above are closely related in the existing heliobiological studies: the larger the selected time scale, the higher the level of estimated biological system organization and the stronger the potential response degree is. The long-term studies are devoted to the possible influence of solar activity on population disasters, i.e., significant increases in morbidity and mortality. On a daily scale, a probable effect of geomagnetic storms and other space weather events on short-term local outbreaks of morbidity is shown as well as on cases of deterioration in people functional state. On an intraday scale, in the regular functioning mode, the heart and brain rhythms of healthy people turn to be synchronized with geomagnetic field variations in some frequency ranges, which apparently is the necessary organism’s existence element. The applicability of different space weather indices at different data sampling rates, the need to take into account the contribution of meteorological factors, and the prospects for an individual approach in heliobiology are discussed. The modern important results of experiments on modeling the action of magnetic storms in laboratory conditions and the substantiation of possible theoreical mechanisms are described. These results provide an experimental and theoretical basis for studies of possible connections of space weather and human health.
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14
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Turner RP. Clinical Application of Combined EEG-qEEG Functional Neuroimaging in the Practice of Pediatric Neuroscience: A Personal Perspective. Clin EEG Neurosci 2021; 52:126-135. [PMID: 33370176 DOI: 10.1177/1550059420982419] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
This brief article is an overview of my personal experience over the past almost 10 years of the clinical use of EEG and quantitative EEG (qEEG) functional neuroimaging in a busy pediatric neurology practice. The concomitant use of surface EEG and functional electromagnetic EEG neuroimaging/qEEG in clinical practice provides significant additional clinical and neurophysiologic information. The qEEG is a noninvasive, inexpensive, portable technique with high temporal resolution (milliseconds) and improving spatial resolution (down to 3 mm3) and is an appropriate and validated tool for investigation of abnormal brain dynamics and connectivity of neuronal networks in clinical disorders of the brain. This article describes the daily applicability and utility of this modality in assisting diagnosis and clinical management of patients with a wide variety of presenting symptoms, including headaches, tics, autism spectrum disorder, inattention, sleep dysregulation, anxiety, and depression. The ease of data acquisition and analysis in clinical practices, coupled with skilled interpretation and clinical application, makes this tool one of the most valuable clinical tools to complement a thorough history and examination process.
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Affiliation(s)
- Robert P Turner
- Clinical Pediatrics, Medical University of South Carolina, Charleston, SC, USA.,Palmetto Health Children's Hospital, Columbia, SC, USA.,Network Neurology Health, Charleston, SC, USA.,Bon Secours Roper-St Francis Hospital System, Charleston, SC, USA.,HCA South Atlantic/Summerville Medical Center, Summerville, SC, USA.,MIND Research Institute, Irvine, CA, USA
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15
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Rochart R, Liu Q, Fonteh AN, Harrington MG, Arakaki X. Compromised Behavior and Gamma Power During Working Memory in Cognitively Healthy Individuals With Abnormal CSF Amyloid/Tau. Front Aging Neurosci 2020; 12:574214. [PMID: 33192465 PMCID: PMC7591805 DOI: 10.3389/fnagi.2020.574214] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/22/2020] [Indexed: 11/24/2022] Open
Abstract
Research shows that gamma activity changes in Alzheimer’s disease (AD), revealing synaptic pathology and potential therapeutic applications. We aim to explore whether cognitive challenge combined with quantitative EEG (qEEG) can unmask abnormal gamma frequency power in healthy individuals at high risk of developing AD. We analyzed low (30–50 Hz) and high gamma (50–80 Hz) power over six brain regions at EEG sensor level (frontal/central/parietal/left temporal/right temporal/occipital) in a dataset collected from an aging cohort during N-back working memory (WM) testing at two different load conditions (N = 0 or 2). Cognitively healthy (CH) study participants (≥60 years old) of both sexes were divided into two subgroups: normal amyloid/tau ratios (CH-NAT, n = 10) or pathological amyloid/tau (CH-PAT, n = 14) in cerebrospinal fluid (CSF). During low load (0-back) challenge, low gamma is higher in CH-PATs than CH-NATs over frontal and central regions (p = 0.014∼0.032, effect size (Cohen’s d) = 0.95∼1.11). However, during high load (2-back) challenge, low gamma is lower in CH-PATs compared to CH-NATs over the left temporal region (p = 0.045, Cohen’s d = −0.96), and high gamma is lower over the parietal region (p = 0.035, Cohen’s d = −1.02). Overall, our studies show a medium to large negative effect size across the scalp (Cohen’s d = −0.51∼−1.02). In addition, low gamma during 2-back is positively correlated with 0-back accuracy over all regions except the occipital region only in CH-NATs (r = 0.69∼0.77, p = 0.0098∼0.027); high gamma during 2-back correlated positively with 0-back accuracy over all regions in CH-NATs (r = 0.68∼0.78, p = 0.007∼0.030); high gamma during 2-back negatively correlated with 0-back response time over parietal, right temporal, and occipital regions in CH-NATs (r = −0.70∼−0.66, p = 0.025∼0.037). We interpret these preliminary results to show: (1) gamma power is compromised in AD-biomarker positive individuals, who are otherwise cognitively healthy (CH-PATs); (2) gamma is associated with WM performance in normal aging (CH-NATs) (most significantly in the frontoparietal region). Our pilot findings encourage further investigations in combining cognitive challenges and qEEG in developing neurophysiology-based markers for identifying individuals in the prodromal stage, to help improving our understanding of AD pathophysiology and the contributions of low- and high-frequency gamma oscillations in cognitive functions.
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Affiliation(s)
- Roger Rochart
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Quanying Liu
- Department of Biomedical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China
| | - Alfred N Fonteh
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Michael G Harrington
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
| | - Xianghong Arakaki
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States
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16
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Vázquez-Marrufo M, Caballero-Díaz R, Martín-Clemente R, Galvao-Carmona A, González-Rosa JJ. Individual test-retest reliability of evoked and induced alpha activity in human EEG data. PLoS One 2020; 15:e0239612. [PMID: 32966341 PMCID: PMC7511026 DOI: 10.1371/journal.pone.0239612] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 09/10/2020] [Indexed: 01/08/2023] Open
Abstract
Diverse psychological mechanisms have been associated with modulations of different EEG frequencies. To the extent of our knowledge, there are few studies of the test-retest reliability of these modulations in the human brain. To assess evoked and induced alpha reliabilities related to cognitive processing, EEG data from twenty subjects were recorded in 58 derivations in two different sessions separated by 49.5 ± 48.9 (mean ± standard deviation) days. A visual oddball was selected as the cognitive task, and three main parameters were analyzed for evoked and induced alpha modulations (latency, amplitude and topography). Latency and amplitude for evoked and induced modulations showed stable behavior between the two sessions. The correlation between sessions for alpha evoked and induced topographies in the grand average (group level) was r = 0.923, p<0.001; r = 0.962, p<0.001, respectively. The within-subject correlation values for evoked modulation ranged from 0.472 to 0.974 (mean: 0.766), whereas induced activity showed a different range, 0.193 to 0.892 (mean: 0.655). Individual analysis of the test-retest reliability showed a higher heterogeneity in the induced modulation, probably due to the heterogeneous phases found in the second case. However, despite this heterogeneity in phase values for induced activity relative to the onset of the stimuli, an excellent correlation score was obtained for group topography, with values that were better than those of the grand average evoked topography. As a main conclusion, induced alpha activity can be observed as a stable and reproducible response in the cognitive processing of the human brain.
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Affiliation(s)
- Manuel Vázquez-Marrufo
- Experimental Psychology Department, Faculty of Psychology, University of Seville, Sevilla, Spain
| | - Rocío Caballero-Díaz
- Experimental Psychology Department, Faculty of Psychology, University of Seville, Sevilla, Spain
| | - Rubén Martín-Clemente
- Signal Processing and Communications Department, Higher Technical School of Engineering, University of Seville, Sevilla, Spain
| | | | - Javier J González-Rosa
- Department of Psychology, Universidad de Cádiz, Cádiz, Spain.,Institute of Biomedical Research and Innovation of Cádiz (INiBICA), Cádiz, Spain
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Sun L, Zhao Y, Ling B. The Joint Influence of Online Rating and Product Price on Purchase Decision: An EEG Study. Psychol Res Behav Manag 2020; 13:291-301. [PMID: 32273782 PMCID: PMC7102909 DOI: 10.2147/prbm.s238063] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 01/31/2020] [Indexed: 11/23/2022] Open
Abstract
Background Consumers had to encounter and consider product-oriented and review-oriented cues before making an online purchasing decision. It was important to resolve how these cues influenced consumers’ online purchasing decision. We also knew little about how the human brain processed these cues simultaneously, and which cue would occupy a dominant position in neural activity. The purpose of the present study was to investigate the neural correlates of online shopping decisions and how online rating and product price jointly influenced such purchase decisions. Research Method Eighteen undergraduates were recruited to participate in this research. Each participant was exposed to all four experimental conditions combining 2 (product price: high vs. low) × 2 (online rating: positive vs. negative) with a total of 192 trials. They were required to rate the degree of willingness-to-pay. EEG data were obtained with 64 electrodes placed on the Easy Cap according to the International 10–20 system. We conducted both the event-related potentials analysis and the time-frequency analysis for the EEG data. Results The behavioral findings indicated that products with positive rating and low price increased the willingness-to-pay. The EEG results showed that larger late positive potentials were elicited by products with low price compared with high price under positive rating condition, but not under negative rating condition, reflecting the modulated effect of online rating on the emotional arousal elicited by product price. Furthermore, we found larger alpha event related desynchronization elicited by products with positive rating compared with negative rating, indicating that more cognitive resources were allocated for products with a positive rating. Conclusion Combined with behavioral and EEG analysis, our results emphasized the more important position of product rating compared with price. The findings deepened the understanding of the neural mechanisms underlying the online shopping decision process. More attention should be paid to online ratings on the webpage of the electronic store, because negative ratings made a product less appealing for prospective consumers regardless of price. Thus, the owners should build good reputations for their online products, which were fundamental to the consumers’ online purchasing decisions.
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Affiliation(s)
- Lijun Sun
- CAS Key Laboratory of Behavioral Science, Institute of Psychology/Department of Psychology, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Yin Zhao
- Furnishing and Industrial Design School, Nanjing Forestry University, Nanjing, People's Republic of China
| | - Bin Ling
- School of Business, Hohai University, Nanjing, People's Republic of China
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