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Fatić S, Stanojević N, Jeličić L, Bilibajkić R, Marisavljević M, Maksimović S, Gavrilović A, Subotić M. Beta Spectral Power during Passive Listening in Preschool Children with Specific Language Impairment. Dev Neurosci 2024:1-14. [PMID: 38723615 DOI: 10.1159/000539135] [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: 09/03/2023] [Accepted: 04/18/2024] [Indexed: 06/19/2024] Open
Abstract
INTRODUCTION Children with specific language impairment (SLI) have difficulties in different speech and language domains. Electrophysiological studies have documented that auditory processing in children with SLI is atypical and probably caused by delayed and abnormal auditory maturation. During the resting state, or different auditory tasks, children with SLI show low or high beta spectral power, which could be a clinical correlate for investigating brain rhythms. METHODS The aim of this study was to examine the electrophysiological cortical activity of the beta rhythm while listening to words and nonwords in children with SLI in comparison to typical development (TD) children. The participants were 50 children with SLI, aged 4 and 5 years, and 50 age matched TD children. The children were divided into two subgroups according to age: (1) children 4 years of age; (2) children 5 years of age. RESULTS The older group differed from the younger group in beta auditory processing, with increased values of beta spectral power in the right frontal, temporal, and parietal regions. In addition, children with SLI have higher beta spectral power than TD children in the bilateral temporal regions. CONCLUSION Complex beta auditory activation in TD and SLI children indicates the presence of early changes in functional brain connectivity.
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Affiliation(s)
- Saška Fatić
- Cognitive Neuroscience Department, Research and Development Institute "Life Activities Advancement Institute,", Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology, Belgrade, Serbia
| | - Nina Stanojević
- Cognitive Neuroscience Department, Research and Development Institute "Life Activities Advancement Institute,", Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology, Belgrade, Serbia
| | - Ljiljana Jeličić
- Cognitive Neuroscience Department, Research and Development Institute "Life Activities Advancement Institute,", Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology, Belgrade, Serbia
| | - Ružica Bilibajkić
- Cognitive Neuroscience Department, Research and Development Institute "Life Activities Advancement Institute,", Belgrade, Serbia
| | - Maša Marisavljević
- Cognitive Neuroscience Department, Research and Development Institute "Life Activities Advancement Institute,", Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology, Belgrade, Serbia
| | - Slavica Maksimović
- Cognitive Neuroscience Department, Research and Development Institute "Life Activities Advancement Institute,", Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology, Belgrade, Serbia
| | - Aleksandar Gavrilović
- Faculty of Medical Sciences, Department of Neurology, University of Kragujevac, Kragujevac, Serbia
- Clinic of Neurology, Clinical Center Kragujevac, Kragujevac, Serbia
| | - Miško Subotić
- Cognitive Neuroscience Department, Research and Development Institute "Life Activities Advancement Institute,", Belgrade, Serbia
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Xu G, Wang Z, Zhao X, Li R, Zhou T, Xu T, Hu H. A Subject-Specific Attention Index Based on the Weighted Spectral Power. IEEE Trans Neural Syst Rehabil Eng 2024; 32:1687-1702. [PMID: 38648157 DOI: 10.1109/tnsre.2024.3392242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
As an essential cognitive function, attention has been widely studied and various indices based on EEG have been proposed for its convenience and easy availability for real-time attention monitoring. Although existing indices based on spectral power of empirical frequency bands are able to describe the attentional state in some way, the reliability still needs to be improved. This paper proposed a subject-specific attention index based on the weighted spectral power. Unlike traditional indices, the ranges of frequency bands are not empirical but obtained from subject-specific change patterns of spectral power of electroencephalograph (EEG) to overcome the great inter-subject variance. In addition, the contribution of each frequency component in the frequency band is considered different. Specifically, the ratio of power spectral density (PSD) function in attentional and inattentional state is utilized to calculate the weight to enhance the effectiveness of the proposed index. The proposed subject-specific attention index based on the weighted spectral power is evaluated on two open datasets including EEG data of a total of 44 subjects. The results of the proposed index are compared with 3 traditional attention indices using various statistical analysis methods including significance tests and distribution variance measurements. According to the experimental results, the proposed index can describe the attentional state more accurately. The proposed index respectively achieves accuracies of 86.21% and 70.00% at the 1% significance level in both the t-test and Wilcoxon rank-sum test for two datasets, which obtains improvements of 41.38% and 20.00% compared to the best result of the traditional indices. These results indicate that the proposed index provides an efficient way to measure attentional state.
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Constantino NJ, Carroll CM, Williams HC, Yuede CM, Sheehan PW, Andy Snipes J, Musiek ES, Johnson LA, Macauley SL. Kir6.2-K ATP channels alter glycolytic flux to modulate cortical activity, arousal, and sleep-wake homeostasis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.23.581817. [PMID: 38464274 PMCID: PMC10925108 DOI: 10.1101/2024.02.23.581817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Metabolism plays an important role in the maintenance of vigilance states (e.g. wake, NREM, and REM). Brain lactate fluctuations are a biomarker of sleep. Increased interstitial fluid (ISF) lactate levels are necessary for arousal and wake-associated behaviors, while decreased ISF lactate is required for sleep. ATP-sensitive potassium (K ATP ) channels couple glucose-lactate metabolism with neuronal excitability. Therefore, we explored how deletion of neuronal K ATP channel activity (Kir6.2-/- mice) affected the relationship between glycolytic flux, neuronal activity, and sleep/wake homeostasis. Kir6.2-/- mice shunt glucose towards glycolysis, reduce neurotransmitter synthesis, dampen cortical EEG activity, and decrease arousal. Kir6.2-/- mice spent more time awake at the onset of the light period due to altered ISF lactate dynamics. Together, we show that Kir6.2-K ATP channels act as metabolic sensors to gate arousal by maintaining the metabolic stability of each vigilance state and providing the metabolic flexibility to transition between states. Highlights Glycolytic flux is necessary for neurotransmitter synthesis. In its absence, neuronal activity is compromised causing changes in arousal and vigilance states despite sufficient energy availability. With Kir6.2-K ATP channel deficiency, the ability to both maintain and shift between different vigilance states is compromised due to changes in glucose utilization. Kir6.2-K ATP channels are metabolic sensors under circadian control that gate arousal and sleep/wake transitions.
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Upshaw JD, Shields GS, Judah MR, Zabelina DL. Electrophysiological effects of smartphone notifications on cognitive control following a brief mindfulness induction. Biol Psychol 2024; 185:108725. [PMID: 37993083 DOI: 10.1016/j.biopsycho.2023.108725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 11/15/2023] [Accepted: 11/15/2023] [Indexed: 11/24/2023]
Abstract
Smartphone use is nearly ubiquitous, with 93% of adults among economically developed countries, including the United States, Canada, Israel, and South Korea owning a smartphone (Taylor & Silver, 2019). Multiple studies have demonstrated the distracting effects of smartphone notifications on behavioral measures of cognition. Fewer studies have examined the effects of notifications on neural activity underlying higher-level cognitive processes or behavioral inductions to reduce smartphone-related distraction. Using EEG spectral frequency power densities, we assessed the effects of smartphone notifications (vs. control trials) on engagement of attentional shifting processes involved in cognitive control during a Navon Letter visual oddball task. Participants were randomly assigned to a brief mindfulness induction (N = 44) or a neutral narration control condition (N = 43). Overall, participants had lower theta-band power, but higher alpha- and beta-band power densities on target letter trials preceded by smartphone notifications. Additionally, participants in the mindfulness (vs. control) condition had a larger attention shifting oddball assessed via theta power density and theta/beta ratio (TBR) values-reflecting increased engagement of cognitive control-particularly on smartphone notification (vs. control) trials. Altogether, these results provide evidence supporting the idea that smartphone notifications can decrease activity of neural correlates of cognitive control, and offer the promise of a brief mindfulness induction to buffer against the effects of smartphone notifications on cognitive control. The findings indicate a need for further research on mindfulness inductiosn as a means to reduce potential distraction caused by smartphones.
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Affiliation(s)
- Joshua D Upshaw
- Department of Psychological Sciences, University of Arkansas, 480 N. Campus Walk, Fayetteville, AR 72701, USA.
| | - Grant S Shields
- Department of Psychological Sciences, University of Arkansas, 480 N. Campus Walk, Fayetteville, AR 72701, USA
| | - Matt R Judah
- Department of Psychological Sciences, University of Arkansas, 480 N. Campus Walk, Fayetteville, AR 72701, USA
| | - Darya L Zabelina
- Department of Psychological Sciences, University of Arkansas, 480 N. Campus Walk, Fayetteville, AR 72701, USA
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Nettinga J, Naseem S, Yakobi O, Willoughby T, Danckert J. Exploring EEG resting state as a function of boredom proneness in pre-adolescents and adolescents. Exp Brain Res 2024; 242:123-135. [PMID: 37978080 DOI: 10.1007/s00221-023-06733-3] [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: 05/05/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023]
Abstract
Boredom is a prominent experience commonly reported in school settings and associated with poor academic achievement. Little is known, however, about the age-related trajectory of boredom. Here we examined self-reported ratings of boredom in a cross-sectional sample of 8 to 15-year olds (n = 185) as a function of resting state EEG. Results indicated that reports of boredom in school rose as a function of age. Resting state EEG showed a decrease in theta power with age perhaps reflective of increased control. While no effects were evident in beta and alpha bands, we did observe an interaction between boredom and age for frontal asymmetry such that for those higher in boredom, the asymmetry increased with age. Finally, for theta to beta ratios there were main effects of age (i.e., a decrease in theta/beta ratio with age) and boredom such that those higher in boredom had higher theta/beta ratios over frontal and central brain areas. The results are discussed in the context of prior work on school-related boredom and provide several important avenues for further research.
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Affiliation(s)
- Jamie Nettinga
- Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada.
| | - Sarah Naseem
- Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
| | - Ofir Yakobi
- Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
| | - Teena Willoughby
- Department of Psychology, Brock University, St. Catherines, ON, L2S 3A1, Canada
| | - James Danckert
- Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
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DeCouto BS, Smeeton NJ, Williams AM. Skill and experience impact neural activity during global and local biological motion processing. Neuropsychologia 2023; 191:108718. [PMID: 37939872 DOI: 10.1016/j.neuropsychologia.2023.108718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/15/2023] [Accepted: 10/28/2023] [Indexed: 11/10/2023]
Abstract
During biological motion perception, individuals with perceptual experience learn to use more global processing, simultaneously extracting information from multiple body segments. Less experienced observers may use more local processing of individual body segments. The parietal lobe (e.g., alpha and beta power) has been shown to be critical to global and local static stimulus perception. Therefore, in this paper, we examined how skill impacts motion processing by assessing behavioral and neural responses to degrading global or local motion information for soccer penalty kicks. Skilled (N = 21) and less skilled (N = 19) soccer players anticipated temporally occluded videos of penalty kicks under normal, blurred (degraded local information), or spatially occluded (hips-only; degraded global information) viewing conditions. EEG was used to measure parietal alpha and beta power. Skilled players outperformed less skilled players, albeit both skill groups were less accurate in the blurred and hips-only conditions. Skilled performers showed significant decreases in bilateral parietal beta power in the hips-only condition, suggesting a greater reliance on global motion information under normal viewing conditions. Additionally, the hips-only condition elicited significantly greater beta relative to alpha power (beta - alpha), lower beta power, and lower alpha power than the control condition for both skill groups, suggesting spatial occlusion elicited a shift towards more local processing. Our novel findings demonstrate that skill and experience impact how motion is processed.
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Affiliation(s)
- B S DeCouto
- Florida Institute for Human & Machine Cognition, Human Health, Resilience & Performance, 40 South Alcaniz St. Pensacola, FL 32502, USA; University of Utah, College of Health, Department of Health & Kinesiology, 383 Colorow Drive, Suite 260, Salt Lake City, UT. 84112, USA.
| | - N J Smeeton
- University of Brighton, School of Sport and Health Sciences, Sport and Exercise Science and Sports Medicine Research and Enterprise Group, 1 Denton Road, Eastbourne BN22 7SR, Brighton, England, UK
| | - A M Williams
- Florida Institute for Human & Machine Cognition, Human Health, Resilience & Performance, 40 South Alcaniz St. Pensacola, FL 32502, USA; University of Utah, College of Health, Department of Health & Kinesiology, 383 Colorow Drive, Suite 260, Salt Lake City, UT. 84112, USA
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Xu G, Wang Z, Zhao X, Li R, Zhou T, Xu T, Hu H. Attentional State Classification Using Amplitude and Phase Feature Extraction Method Based on Filter Bank and Riemannian Manifold. IEEE Trans Neural Syst Rehabil Eng 2023; 31:4402-4412. [PMID: 37917520 DOI: 10.1109/tnsre.2023.3329482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
As a significant aspect of cognition, attention has been extensively studied and numerous measurements have been developed based on brain signal processing. Although existing attentional state classification methods have achieved good accuracy by extracting a variety of handcrafted features, spatial features have not been fully explored. This paper proposes an attentional state classification method based on Riemannian manifold to utilize spatial information. Based on the concept of Riemannian manifold of symmetric positive definite (SPD) matrix, the proposed method exploits the structure of covariance matrix to extract spatial features instead of using spatial filters. Specifically, Riemannian distances from intra-class Riemannian means are extracted as features for their robustness. To fully extend the potential of electroencephalograph (EEG) signal, both amplitude and phase information is utilized. In addition, to solve the variance of frequency bands, a filter bank is employed to process the signal of different frequency bands separately. Finally, features are fed into a support vector machine with a polynomial kernel to obtain classification results. The proposed attentional state classification using amplitude and phase feature extraction method based on filter bank and Riemannian manifold (AP-FBRM) method is evaluated on two open datasets including EEG data of 29 and 26 subjects. According to the experimental results, the optimal set of filter bank and the optimal technique to extract features containing both amplitude and phase information are determined. The proposed method respectively achieves accuracies of 88.06% and 80.00% and outperforms 8 baseline methods, which manifests that the proposed method creates an efficient way to recognize attentional state.
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Huang Y, Deng Y, Kong L, Zhang X, Wei X, Mao T, Xu Y, Jiang C, Rao H. Vigilant attention mediates the association between resting EEG alpha oscillations and word learning ability. Neuroimage 2023; 281:120369. [PMID: 37690592 DOI: 10.1016/j.neuroimage.2023.120369] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 09/05/2023] [Accepted: 09/08/2023] [Indexed: 09/12/2023] Open
Abstract
Individuals exhibit considerable variability in their capacity to learn and retain new information, including novel vocabulary. Prior research has established the importance of vigilance and electroencephalogram (EEG) alpha rhythm in the learning process. However, the interplay between vigilant attention, EEG alpha oscillations, and an individual's word learning ability (WLA) remains elusive. To address this knowledge gap, here we conducted two experiments with a total of 140 young and middle-aged adults who underwent resting EEG recordings prior to completing a paired-associate word learning task and a psychomotor vigilance test (PVT). The results of both experiments consistently revealed significant positive correlations between WLA and resting EEG alpha oscillations in the occipital and frontal regions. Furthermore, the association between resting EEG alpha oscillations and WLA was mediated by vigilant attention, as measured by the PVT. These findings provide compelling evidence supporting the crucial role of vigilant attention in linking EEG alpha oscillations to an individual's learning ability.
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Affiliation(s)
- Yan Huang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; School of Foreign Languages, East China University of Science and Technology, Shanghai, China
| | - Yao Deng
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Lingda Kong
- Institute of Corpus, Shanghai International Studies University, Shanghai, China
| | - Xiumei Zhang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Xiaobao Wei
- School of Foreign Languages, East China University of Science and Technology, Shanghai, China
| | - Tianxin Mao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Yong Xu
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Caihong Jiang
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China.
| | - Hengyi Rao
- Center for Magnetic Resonance Imaging Research & Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
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Franke LM, Perera RA, Sponheim SR. Long-term resting EEG correlates of repetitive mild traumatic brain injury and loss of consciousness: alterations in alpha-beta power. Front Neurol 2023; 14:1241481. [PMID: 37706009 PMCID: PMC10495577 DOI: 10.3389/fneur.2023.1241481] [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: 06/16/2023] [Accepted: 07/31/2023] [Indexed: 09/15/2023] Open
Abstract
Objective Long-term changes to EEG spectra after mild traumatic brain injury (mTBI, i.e., concussion) have been reported; however, the role of injury characteristics in long-term EEG changes is unclear. It is also unclear how any chronic EEG changes may underlie either subjective or objective cognitive difficulties, which might help explain the variability in recovery after mTBI. Methods This study included resting-state high-density electroencephalography (EEG) and mTBI injury data from 340 service members and veterans collected on average 11 years after injury as well as measures of objective and subjective cognitive functioning. The average absolute power within standard bands was computed across 11 spatial regions of the scalp. To determine how variation in brain function was accounted for by injury characteristics and aspects of cognition, we used regression analyses to investigate how EEG power was predicted by mTBI history characteristics [number, number with post-traumatic amnesia and witnessed loss of consciousness (PTA + LOC), context of injury (combat or non-combat), potentially concussive blast exposures], subjective complaints (TBIQOL General Cognitive and Executive Function Concerns), and cognitive performance (NIH Toolbox Fluid Intelligence and premorbid IQ). Results Post-traumatic amnesia (PTA) and loss of consciousness (LOC), poorer cognitive performance, and combat experience were associated with reduced power in beta frequencies. Executive function complaints, lower premorbid IQ, poorer cognitive performance, and higher psychological distress symptoms were associated with greater power of delta frequencies. Multiple regression confirmed the relationship between PTA + LOC, poor cognitive performance, cognitive complaints, and reduced power in beta frequencies and revealed that repetitive mTBI was associated with a higher power in alpha and beta frequencies. By contrast, neither dichotomous classification of the presence and absence of mTBI history nor blast exposures showed a relationship with EEG power variables. Conclusion Long-term alterations in resting EEG spectra measures of brain function do not appear to reflect any lasting effect of a history of mTBI or blast exposures. However, power in higher frequencies reflects both injury characteristics and subjective and objective cognitive difficulties, while power in lower frequencies is related to cognitive functions and psychological distress associated with poor long-term outcomes after mTBI.
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Affiliation(s)
- Laura M. Franke
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, United States
| | - Robert A. Perera
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, United States
| | - Scott R. Sponheim
- Minneapolis VA Health Care System, Minneapolis, MN, United States
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
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DeCouto BS, Smeeton NJ, Williams AM. Skilled Performers Show Right Parietal Lateralization during Anticipation of Volleyball Attacks. Brain Sci 2023; 13:1204. [PMID: 37626560 PMCID: PMC10452595 DOI: 10.3390/brainsci13081204] [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: 06/30/2023] [Revised: 08/04/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Global and local biological motion processing are likely influenced by an observer's perceptual experience. Skilled athletes anticipating an opponent's movements use globally distributed motion information, while less skilled athletes focus on single kinematic cues. Published reports have demonstrated that attention can be primed globally or locally before perceptual tasks; such an intervention could highlight motion processing mechanisms used by skilled and less skilled observers. In this study, we examined skill differences in biological motion processing using attentional priming. Skilled (N = 16) and less skilled (N = 16) players anticipated temporally occluded videos of volleyball attacks after being primed using a Navon matching task while parietal EEG was measured. Skilled players were more accurate than less skilled players across priming conditions. Global priming improved performance in both skill groups. Skilled players showed significantly reduced alpha and beta power in the right compared to left parietal region, but brain activity was not affected by the priming interventions. Our findings highlight the importance of right parietal dominance for skilled performers, which may be functional for inhibiting left hemispheric local processing or enhancing visual spatial attention for dynamic visual scenes. Further work is needed to systematically determine the function of this pattern of brain activity during skilled anticipation.
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Affiliation(s)
- Brady S. DeCouto
- Healthspan, Resilience & Performance Research Group, Florida Institute for Human & Machine Cognition, 40 South Alcaniz St., Pensacola, FL 32502, USA;
- Department of Health & Kinesiology, College of Health, University of Utah, 383 Colorow Drive, Suite 260, Salt Lake City, UT 84112, USA
| | - Nicholas J. Smeeton
- Sport and Exercise Science and Sport Medicine Research and Enterprise Group, School of Sport and Health Sciences, University of Brighton, 1 Denton Road, Brighton BN22 7SR, UK;
| | - A. Mark Williams
- Healthspan, Resilience & Performance Research Group, Florida Institute for Human & Machine Cognition, 40 South Alcaniz St., Pensacola, FL 32502, USA;
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One-year-later spontaneous EEG features predict visual exploratory human phenotypes. Commun Biol 2022; 5:1361. [PMID: 36509841 PMCID: PMC9744741 DOI: 10.1038/s42003-022-04294-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 11/24/2022] [Indexed: 12/14/2022] Open
Abstract
During visual exploration, eye movements are controlled by multiple stimulus- and goal-driven factors. We recently showed that the dynamics of eye movements -how/when the eye move- during natural scenes' free viewing were similar across individuals and identified two viewing styles: static and dynamic, characterized respectively by longer or shorter fixations. Interestingly, these styles could be revealed at rest, in the absence of any visual stimulus. This result supports a role of intrinsic activity in eye movement dynamics. Here we hypothesize that these two viewing styles correspond to different spontaneous patterns of brain activity. One year after the behavioural experiments, static and dynamic viewers were called back to the lab to record high density EEG activity during eyes open and eyes closed. Static viewers show higher cortical inhibition, slower individual alpha frequency peak, and longer memory of alpha oscillations. The opposite holds for dynamic viewers. We conclude that some properties of spontaneous activity predict exploratory eye movement dynamics during free viewing.
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Vasaghi Gharamaleki M, Mousavi SZ, Owrangi M, Gholamzadeh MJ, Kamali AM, Dehghani M, Chakrabarti P, Nami M. Neural correlates in functional brain mapping among breast cancer survivors receiving different chemotherapy regimens: a qEEG/HEG-based investigation. Jpn J Clin Oncol 2022; 52:1253-1264. [PMID: 35946328 DOI: 10.1093/jjco/hyac121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 07/13/2022] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Post-chemotherapy cognitive impairment commonly known as 'chemobrain' or 'chemofog' is a well-established clinical disorder affecting various cognitive domains including attention, visuospatial working memory, executive function, etc. Although several studies have confirmed the chemobrain in recent years, scant experiments have evaluated the potential neurotoxicity of different chemotherapy regimens and agents. In this study, we aimed to evaluate the extent of attention deficits, one of the commonly affected cognitive domains, among breast cancer patients treated with different chemotherapy regimens through neuroimaging techniques. METHODS Breast cancer patients treated with two commonly prescribed chemotherapy regimens, Adriamycin, Cyclophosphamide and Taxol and Taxotere, Adriamycin and Cyclophosphamide, and healthy volunteers were recruited. Near-infrared hemoencephalography and quantitative electroencephalography assessments were recorded for each participant at rest and during task performance to compare the functional cortical changes associated with each chemotherapy regimen. RESULTS Although no differences were observed in hemoencephalography results across groups, the quantitative electroencephalography analysis revealed increased power of high alpha/low beta in left fronto-centro-parietal regions involved in dorsal and ventral attention networks in the Adriamycin, Cyclophosphamide and Taxol-treated group compared with the Taxotere, Adriamycin and Cyclophosphamide and control group. The Adriamycin, Cyclophosphamide and Taxol-treated cases had the highest current source density values in dorsal attention network and ventral attention network and ventral attention network-related centers in 10 and 15 Hz associated with the lowest Z-scored Fast Fourier Transform coherence in the mentioned regions. CONCLUSIONS The negatively affected neurocognitive profile in breast cancer patients treated with the Adriamycin, Cyclophosphamide and Taxol regimen proposes presumably neurotoxic sequelae of this chemotherapy regimen as compared with the Taxotere, Adriamycin and Cyclophosphamide regimen.
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Affiliation(s)
| | - Seyedeh Zahra Mousavi
- Students' Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Maryam Owrangi
- Students' Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Ali-Mohammad Kamali
- Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
- DANA Brain Health Institute, Iranian Neuroscience Society-Fars Chapter, Shiraz, Iran
| | - Mehdi Dehghani
- Hematology Research Center, Department of Hematology and Medical Oncology, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Mohammad Nami
- Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
- DANA Brain Health Institute, Iranian Neuroscience Society-Fars Chapter, Shiraz, Iran
- Swiss Alternative Medicine, Geneva, Switzerland
- Neuroscience Center, Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT AIP), City of Knowledge, Panama City, Republic of Panama
- Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, USA
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Aydın S, Akın B. Machine learning classification of maladaptive rumination and cognitive distraction in terms of frequency specific complexity. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103740] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Wainio-Theberge S, Wolff A, Gomez-Pilar J, Zhang J, Northoff G. Variability and task-responsiveness of electrophysiological dynamics: scale-free stability and oscillatory flexibility. Neuroimage 2022; 256:119245. [PMID: 35477021 DOI: 10.1016/j.neuroimage.2022.119245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 04/17/2022] [Accepted: 04/22/2022] [Indexed: 11/18/2022] Open
Abstract
Cortical oscillations and scale-free neural activity are thought to influence a variety of cognitive functions, but their differential relationships to neural stability and flexibility has never been investigated. Based on the existing literature, we hypothesize that scale-free and oscillatory processes in the brain exhibit different trade-offs between stability and flexibility; specifically, cortical oscillations may reflect variable, task-responsive aspects of brain activity, while scale-free activity is proposed to reflect a more stable and task-unresponsive aspect. We test this hypothesis using data from two large-scale MEG studies (HCP: n = 89; CamCAN: n = 195), operationalizing stability and flexibility by task-responsiveness and spontaneous intra-subject variability in resting state. We demonstrate that the power-law exponent of scale-free activity is a highly stable parameter, which responds little to external cognitive demands and shows minimal spontaneous fluctuations over time. In contrast, oscillatory power, particularly in the alpha range (8-13 Hz), responds strongly to tasks and exhibits comparatively large spontaneous fluctuations over time. In sum, our data support differential roles for oscillatory and scale-free activity in the brain with respect to neural stability and flexibility. This result carries implications for criticality-based theories of scale-free activity, state-trait models of variability, and homeostatic views of the brain with regulated variables vs. effectors.
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Affiliation(s)
- Soren Wainio-Theberge
- Mind, Brain Imaging, and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Rm. 6435, Ottawa, ON K1Z 7K4, Canada; Integrated Program in Neuroscience, McGill University, Montréal, QC, Canada.
| | - Annemarie Wolff
- Mind, Brain Imaging, and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Rm. 6435, Ottawa, ON K1Z 7K4, Canada
| | - Javier Gomez-Pilar
- Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, Valladolid 47011, Spain; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Valladolid, Spain
| | - Jianfeng Zhang
- Mental Health Centre/7th Hospital, Zhejiang University School of Medicine, Tianmu Road 305, Hangzhou, Zhejiang 310013, China; College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China
| | - Georg Northoff
- Mind, Brain Imaging, and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Rm. 6435, Ottawa, ON K1Z 7K4, Canada; Mental Health Centre/7th Hospital, Zhejiang University School of Medicine, Tianmu Road 305, Hangzhou, Zhejiang 310013, China; Centre for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China.
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15
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Stephen JM, Hill DE, Candelaria-Cook FT. Examining the effects of prenatal alcohol exposure on corticothalamic connectivity: A multimodal neuroimaging study in children. Dev Cogn Neurosci 2021; 52:101019. [PMID: 34666262 PMCID: PMC8524752 DOI: 10.1016/j.dcn.2021.101019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 09/22/2021] [Accepted: 10/06/2021] [Indexed: 02/01/2023] Open
Abstract
Children with a fetal alcohol spectrum disorder (FASD) experience a range of cognitive and behavioral effects. Prior studies have demonstrated white matter changes in children with FASD relative to typically developing controls (TDC) and these changes relate to behavior. Our prior MEG study (Candelaria-Cook et al. 2020) demonstrated reduced alpha oscillations during rest in FASD relative to TDC and alpha power is correlated with behavior. However, little is known about how brain structure influences brain function. We hypothesized that alpha power was related to corticothalamic connectivity. Children 8–13 years of age (TDC: N = 25, FASD: N = 24) underwent rest MEG with eyes open or closed and MRI to collect structural and diffusion tensor imaging data. MEG spectral analysis was performed for sensor and source data. We estimated mean fractional anisotropy in regions of interest (ROIs) that included the corticothalamic tracts. The FASD group had reduced mean FA in three of the corticothalamic ROIs. FA in these tracts was significantly correlated with alpha power at the sensor and source level. The results support the hypothesis that integrity of the corticothalamic tracts influences cortical alpha power. Further research is needed to understand how brain structure and function influence behavior.
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Affiliation(s)
- J M Stephen
- The Mind Research Network and Lovelace Biomedical Research Institute, 1101 Yale Blvd NE, Albuquerque, NM 87106, United States; Psychiatry Department, University of New Mexico Health Sciences Center, Albuquerque, NM, United States.
| | - D E Hill
- The Mind Research Network and Lovelace Biomedical Research Institute, 1101 Yale Blvd NE, Albuquerque, NM 87106, United States; Psychiatry Department, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - F T Candelaria-Cook
- The Mind Research Network and Lovelace Biomedical Research Institute, 1101 Yale Blvd NE, Albuquerque, NM 87106, United States; Psychiatry Department, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
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16
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Golemme M, Tatti E, Di Bernardi Luft C, Bhattacharya J, Herrojo Ruiz M, Cappelletti M. Multivariate patterns and long-range temporal correlations of alpha oscillations are associated with flexible manipulation of visual working memory representations. Eur J Neurosci 2021; 54:7260-7273. [PMID: 34618375 DOI: 10.1111/ejn.15486] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 11/29/2022]
Abstract
The ability to flexibly manipulate memory representations is embedded in visual working memory (VWM) and can be tested using paradigms with retrospective cues. Although valid retrospective cues often facilitate memory recall, invalid ones may or may not result in performance costs. We investigated individual differences in utilising retrospective cues and evaluated how these individual differences are associated with brain oscillatory activity at rest. At the behavioural level, we operationalised flexibility as the ability to make effective use of retrospective cues or disregard them if required. At the neural level, we tested whether individual differences in such flexibility were associated with properties of resting-state alpha oscillatory activity (8-12 Hz). To capture distinct aspects of these brain oscillations, we evaluated their power spectral density and temporal dynamics using long-range temporal correlations (LRTCs). In addition, we performed multivariate patterns analysis (MVPA) to classify individuals' level of behavioural flexibility based on these neural measures. We observed that alpha power alone (magnitude) at rest was not associated with flexibility. However, we found that the participants' ability to manipulate VWM representations was correlated with alpha LRTC and could be decoded using MVPA on patterns of alpha power. Our findings suggest that alpha LRTC and multivariate patterns of alpha power at rest may underlie some of the individual differences in using retrospective cues in working memory tasks.
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Affiliation(s)
- Mara Golemme
- Department of Psychology, Goldsmiths, University of London, London, UK.,UK Dementia Research Institute, Imperial College London, London, UK
| | - Elisa Tatti
- Department of Psychology, Goldsmiths, University of London, London, UK.,CUNY, School of Medicine, City College Of New York, New York, New York, USA
| | | | | | - Maria Herrojo Ruiz
- Department of Psychology, Goldsmiths, University of London, London, UK.,Center for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russian Federation
| | - Marinella Cappelletti
- Department of Psychology, Goldsmiths, University of London, London, UK.,Institute of Cognitive Neuroscience, University College London, London, UK
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17
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Nakayama Y, Suzuki N, Nakaoka H, Tsumura K, Takaguchi K, Takaya K, Hanazato M, Todaka E, Mori C. Assessment of Personal Relaxation in Indoor-Air Environments: Study in Real Full-Scale Laboratory Houses. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910246. [PMID: 34639547 PMCID: PMC8549697 DOI: 10.3390/ijerph181910246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 12/12/2022]
Abstract
The relationship between chemical concentrations in indoor air and the human sense of comfort and relaxation have been reported. We investigated the effect of the sum of volatile organic compounds (ΣVOCs; sum of 79 VOCs) on the level of relaxation in two laboratory houses with almost identical interior and exterior appearances. The electroencephalogram (EEG) was monitored to evaluate the degree of personal relaxation objectively. The experiments were conducted in laboratory houses (LH) A and B with lower and higher levels of ΣVOCs, respectively. A total of 168 healthy volunteers participated, who each performed the task for 20 min, followed by a 10-min break, and EEG was measured during the break. Simultaneously as subjective evaluations, the participants were asked to fill a questionnaire regarding the intensity of odor and preference for the air quality in each LH. The subjective evaluation showed a significant association between ΣVOCs and participants’ relaxation (OR: 2.86, 95%CI: 1.24–6.61), and the objective evaluation indicated that the participants were more relaxed in the LH with lower levels of ΣVOCs than that with higher levels (OR: 3.03, 95%CI: 1.23–7.50). Therefore, the reduction of ΣVOCs and odors in indoor air would have an effect, which is the promotion of relaxation.
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Affiliation(s)
- Yoshitake Nakayama
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
- Correspondence: ; Tel.: +81-4-7137-8200
| | - Norimichi Suzuki
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
| | - Hiroko Nakaoka
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
- Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Kayo Tsumura
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
- Graduate School of Medical and Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Kohki Takaguchi
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
| | - Kazunari Takaya
- National Institute of Occupational Safety and Health, 6-21-1 Nagao, Tama-ku, Kawasaki 214-8585, Japan;
| | - Masamichi Hanazato
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
| | - Emiko Todaka
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
- Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Chisato Mori
- Center for Preventive Medical Sciences, Chiba University, 6-2-1 Kashiwanoha, Kashiwa, Chiba 277-0882, Japan; (N.S.); (H.N.); (K.T.); (K.T.); (M.H.); (E.T.); (C.M.)
- Department of Bioenvironmental Medicine, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
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18
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Pitchford B, Arnell KM. Individual Differences in Attentional Breadth Changes Over Time: An Event-Related Potential Investigation. Front Psychol 2021; 12:605250. [PMID: 33833706 PMCID: PMC8021726 DOI: 10.3389/fpsyg.2021.605250] [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: 09/14/2020] [Accepted: 03/02/2021] [Indexed: 11/13/2022] Open
Abstract
Event-related potentials (ERPs) to hierarchical stimuli have been compared for global/local target trials, but the pattern of results across studies is mixed with respect to understanding how ERPs differ with local and global bias. There are reliable interindividual differences in attentional breadth biases. This study addresses two questions. Can these interindividual differences in attentional breadth be predicted by interindividual ERP differences to hierarchical stimuli? Can attentional breadth changes over time within participants (i.e., intraindividual differences) be predicted by ERPs changes over time when viewing hierarchical stimuli? Here, we estimated attentional breadth and isolated ERPs in response to Navon letter stimuli presented at two time points. We found that interindividual differences in ERPs at Time 1 did not predict attentional breadth differences across individuals at Time 1. However, individual differences in changes to P1, N1, and P3 ERPs to hierarchical stimuli from Time 1 to Time 2 were associated with individual differences in changes in attentional breadth from Time 1 to Time 2. These results suggest that attentional breadth changes within individuals over time are reflected in changes in ERP responses to hierarchical stimuli such that smaller N1s and larger P3s accompany a shift to processing the newly prioritized level, suggesting that the preferred level required less perceptual processing and elicited more attention.
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Affiliation(s)
- Brent Pitchford
- Department of Psychology, Brock University, St. Catharines, ON, Canada
| | - Karen M Arnell
- Department of Psychology, Brock University, St. Catharines, ON, Canada
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19
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Völker JM, Arguissain FG, Andersen OK, Biurrun Manresa J. Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives. Hum Brain Mapp 2021; 42:2461-2476. [PMID: 33605512 PMCID: PMC8090781 DOI: 10.1002/hbm.25380] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/14/2022] Open
Abstract
Pain arises from the integration of sensory and cognitive processes in the brain, resulting in specific patterns of neural oscillations that can be characterized by measuring electrical brain activity. Current source density (CSD) estimation from low-resolution brain electromagnetic tomography (LORETA) and its standardized (sLORETA) and exact (eLORETA) variants, is a common approach to identify the spatiotemporal dynamics of the brain sources in physiological and pathological pain-related conditions. However, there is no consensus on the magnitude and variability of clinically or experimentally relevant effects for CSD estimations. Here, we systematically examined reports of sample size calculations and effect size estimations in all studies that included the keywords pain, and LORETA, sLORETA, or eLORETA in Scopus and PubMed. We also assessed the reliability of LORETA CSD estimations during non-painful and painful conditions to estimate hypothetical sample sizes for future experiments using CSD estimations. We found that none of the studies included in the systematic review reported sample size calculations, and less than 20% reported measures of central tendency and dispersion, which are necessary to estimate effect sizes. Based on these data and our experimental results, we determined that sample sizes commonly used in pain studies using CSD estimations are suitable to detect medium and large effect sizes in crossover designs and only large effects in parallel designs. These results provide a comprehensive summary of the effect sizes observed using LORETA in pain research, and this information can be used by clinicians and researchers to improve settings and designs of future pain studies.
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Affiliation(s)
- Juan Manuel Völker
- Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Federico Gabriel Arguissain
- Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Ole Kaeseler Andersen
- Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - José Biurrun Manresa
- Integrative Neuroscience Group, Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.,Institute for Research and Development in Bioengineering and Bioinformatics (IBB), National Scientific and Technical Research Council (CONICET) and National University of Entre Ríos (UNER), Oro Verde, Argentina
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20
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Ahmadi A, Kashefi M, Shahrokhi H, Nazari MA. Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2020.102227] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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21
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Analysis of EEG, Cardiac Activity Status, and Thermal Comfort According to the Type of Cooling Seat during Rest in Indoor Temperature. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app11010097] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In this study, electroencephalogram (EEG) and cardiac activity status of the human body while using various types of seats during rest were analyzed in indoor summer conditions. Thermal comfort was also evaluated through a subjective survey. The EEG, cardiac activity status, and subjective survey during rest indicated that the use of ventilation and cold water-cooling seats was effective. This effectiveness was because of the θ-wave and α-wave activation, sensorimotor rhythm, β-wave reduction, and left hemisphere activation, demonstrating that the conditions applied were suitable for rest. According to the analysis of the subjective questionnaire survey, the use of ventilation and cold water-cooling seats provided a more pleasant state than the basic seat, improving the subject’s warmth and comfort, and also the concentration. In addition, the use of a cold water-cooling seat provided the highest satisfaction level, being the most favorable condition for rest.
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22
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Hopman RJ, LoTemplio SB, Scott EE, McKinney TL, Strayer DL. Resting-state posterior alpha power changes with prolonged exposure in a natural environment. Cogn Res Princ Implic 2020; 5:51. [PMID: 33108586 PMCID: PMC7591649 DOI: 10.1186/s41235-020-00247-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 09/04/2020] [Indexed: 11/29/2022] Open
Abstract
Exposure to environments that contain natural features can benefit mood, cognition, and physiological responses. Previous research proposed exposure to nature restores voluntary attention - attention that is directed towards a task through top down control. Voluntary attention is limited in capacity and depletes with use. Nature provides unique stimuli that do not require voluntary attention; therefore, the neural resources needed for attention to operate efficiently are theorized to restore when spending time in nature. Electroencephalography reflects changes in attention through fluctuations in power within specific frequencies. The current study (N = 29) measured changes in averaged resting state posterior alpha power before, during, and after a multiday nature exposure. Linear mixed-effects models revealed posterior alpha power was significantly lower during the nature exposure compared to pre-trip and post-trip testing, suggesting posterior alpha power may be a potential biomarker for differences related to exposure to natural and urban environments.
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Affiliation(s)
- Rachel J Hopman
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, 805 Columbus Ave, 670 ISEC, Boston, MA, 02115, USA.
| | - Sara B LoTemplio
- Department of Psychology, University of Utah, 380 S. 1530 E. RM 502, Salt Lake City, UT, 84112, USA
| | - Emily E Scott
- Department of Psychology, University of Utah, 380 S. 1530 E. RM 502, Salt Lake City, UT, 84112, USA
| | - Ty L McKinney
- Department of Psychology, University of Utah, 380 S. 1530 E. RM 502, Salt Lake City, UT, 84112, USA
| | - David L Strayer
- Department of Psychology, University of Utah, 380 S. 1530 E. RM 502, Salt Lake City, UT, 84112, USA
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23
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Chen L, Wu B, Qiao C, Liu DQ. Resting EEG in alpha band predicts individual differences in visual size perception. Brain Cogn 2020; 145:105625. [PMID: 32932108 DOI: 10.1016/j.bandc.2020.105625] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 08/04/2020] [Accepted: 09/02/2020] [Indexed: 11/19/2022]
Abstract
Human visual size perception results from an interaction of external sensory information and internal state. The cognitive mechanisms involved in the processing of context-dependent visual size perception have been found to be innate in nature to some extent, suggesting that visual size perception might correlate with human intrinsic brain activity. Here we recorded human resting alpha activity (8-12 Hz), which is an inverse indicator of sustained alertness. Moreover, we measured an object's perceived size in a two-alternative forced-choice manner and the Ebbinghaus illusion magnitude which is a classic illustration of context-dependent visual size perception. The results showed that alpha activity along the ventral visual pathway, including left V1, right LOC and bilateral inferior temporal gyrus, negatively correlated with an object's perceived size. Moreover, alpha activity in the left superior temporal gyrus positively correlated with size discrimination threshold and size illusion magnitude. The findings provide clear evidence that human visual size perception scales as a function of intrinsic alertness, with higher alertness linking to larger perceived size of objects and better performance in size discrimination and size illusion tasks, and suggest that individual variation in resting-state brain activity provides a neural explanation for individual variation in cognitive performance of normal participants.
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Affiliation(s)
- Lihong Chen
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, PR China.
| | - Baoyu Wu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, PR China
| | - Congying Qiao
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, PR China
| | - Dong-Qiang Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, PR China.
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24
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