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Zhang X, Feng S, Yang X, Peng Y, Du M, Zhang R, Sima J, Zou F, Wu X, Wang Y, Gao X, Luo Y, Zhang M. Neuroelectrophysiological alteration associated with cognitive flexibility after 24 h sleep deprivation in adolescents. Conscious Cogn 2024; 124:103734. [PMID: 39096822 DOI: 10.1016/j.concog.2024.103734] [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: 12/27/2023] [Revised: 07/28/2024] [Accepted: 07/30/2024] [Indexed: 08/05/2024]
Abstract
The cognitive neural mechanisms by which sleep deprivation affects cognitive flexibility are poorly understood. Therefore, the study investigated the neuroelectrophysiological basis of the effect of 24 h sleep deprivation on cognitive flexibility in adolescents. 72 participants (36 females, mean age ± SD=20.46 ± 2.385 years old) participated in the study and were randomly assigned to the sleep deprivation group and control group. They were instructed to complete a task switch paradigm, during which participants' behavioral and electroencephalographic data were recorded. Behaviorally, there were significant between-group differences in accuracy. The results of event-related potential showed that the P2, N2 and P3 components had significant group effects or interaction effects. At the time-frequency level, there were statistically significant differences between the delta and theta bands. These results suggested that 24 h sleep deprivation affected problem-solving effectiveness rather than efficiency, mainly because it systematically impaired cognitive processing associated with cognitive flexibility.
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Affiliation(s)
- Xirui Zhang
- The First Affiliated Hospital of Xinxiang Medical University, Henan 453003, China
| | - Shuqing Feng
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Xiaochen Yang
- The First Affiliated Hospital of Xinxiang Medical University, Henan 453003, China
| | - Yunwen Peng
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Mei Du
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Rui Zhang
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Jiashan Sima
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Feng Zou
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Xin Wu
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Yufeng Wang
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China
| | - Xiaomeng Gao
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China.
| | - Yanyan Luo
- School of Nursing, Xinxiang Medical University, Henan 453003, China.
| | - Meng Zhang
- Department of Psychology, Xinxiang Medical University, Henan 453003, China; Mental Illness and Cognitive Neuroscience Key Laboratory of Xinxiang (Xinxiang Medical University), Xinxiang 453003, Henan Province, China.
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Bitsika V, Sharpley CF, Evans ID, Vessey KA. Neurological Validation of ASD Diagnostic Criteria Using Frontal Alpha and Theta Asymmetry. J Clin Med 2024; 13:4876. [PMID: 39201017 PMCID: PMC11355183 DOI: 10.3390/jcm13164876] [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: 07/17/2024] [Revised: 08/11/2024] [Accepted: 08/16/2024] [Indexed: 09/02/2024] Open
Abstract
Background/Objectives: Diagnosis of Autism Spectrum Disorder (ASD) relies on the observation of difficulties in social communication and interaction, plus the presence of repetitive and restrictive behaviors. The identification of neurological correlates of these symptoms remains a high priority for clinical research, and has the potential to increase the validity of diagnosis of ASD as well as provide greater understanding of how the autistic brain functions. This study focused on two neurological phenomena that have been previously associated with psychiatric disorders (alpha- and theta-wave asymmetry across the frontal region of the brain), and tested for their association with the major diagnostic criteria for ASD. Methods: A total of 41 male autistic youth underwent assessment with the Autism Diagnostic Observation Schedule (ADOS-2) and 3 min of eyes-closed resting EEG to collect alpha- and theta-wave data from right and left frontal brain sites. Results: Different associations were found for theta versus alpha asymmetry and the ADOS-2 subscales, across different brain regions responsible for a varying range of cognitive functions. In general, theta asymmetry was associated with conversation with others, sharing of enjoyment, and making social overtures, whereas alpha asymmetry was linked with making eye contact, reporting events to others, and engaging in reciprocal social communication. Specific brain regions involved are identified, as well as implications for clinical practice. Conclusions: Specific autism symptoms may be associated with selected brain region activity, providing a neurological basis for diagnosis and treatment.
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Affiliation(s)
| | - Christopher F. Sharpley
- Brain-Behaviour Research Group, School of Science & Technology, University of New England, Armidale, NSW 2351, Australia; (V.B.); (K.A.V.)
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Rochas V, Montandon ML, Rodriguez C, Herrmann FR, Eytan A, Pegna AJ, Michel CM, Giannakopoulos P. Visual perspective taking neural processing in forensic cases with high density EEG. Sci Rep 2024; 14:15973. [PMID: 38987366 PMCID: PMC11237136 DOI: 10.1038/s41598-024-66522-y] [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: 02/14/2024] [Accepted: 07/02/2024] [Indexed: 07/12/2024] Open
Abstract
This EEG study aims at dissecting the differences in the activation of neural generators between borderline personality disorder patients with court-ordered measures (BDL-COM) and healthy controls in visual perspective taking. We focused on the distinction between mentalizing (Avatar) and non-mentalizing (Arrow) stimuli as well as self versus other-perspective in the dot perspective task (dPT) in a sample of 15 BDL-COM cases and 54 controls, all of male gender. BDL-COM patients showed a late and diffuse right hemisphere involvement of neural generators contrasting with the occipitofrontal topography observed in controls. For Avatars only and compared to controls, the adoption of Self perspective involved a lower EEG activity in the left inferior frontal, right middle temporal cortex and insula in BDL-COM patients prior to 80 ms post-stimulus. When taking the Other-perspective, BDL-COM patients also showed a lower activation of superior frontal, right inferior temporal and fusiform cortex within the same time frame. The beta oscillation power was significantly lower in BDL-COM patients than controls between 400 and 1300 ms post stimulus in the Avatar-Other condition. These results indicate that BDL-COM patients display both altered topography of EEG activation patterns and reduced abilities to mobilize beta oscillations during the treatment of mentalistic stimuli in dPT.
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Affiliation(s)
- Vincent Rochas
- Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
- Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland.
| | - Marie-Louise Montandon
- Department of Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Cristelle Rodriguez
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
| | - François R Herrmann
- Department of Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
- Faculty of Medicine of the University of Geneva, Geneva, Switzerland
| | - Ariel Eytan
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine of the University of Geneva, Geneva, Switzerland
| | - Alan J Pegna
- School of Psychology, University of Queensland, Brisbane, Australia
| | - Christoph M Michel
- Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Panteleimon Giannakopoulos
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine of the University of Geneva, Geneva, Switzerland
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Rodríguez-Azar PI, Mejía-Muñoz JM, Cruz-Mejía O, Torres-Escobar R, López LVR. Fog Computing for Control of Cyber-Physical Systems in Industry Using BCI. SENSORS (BASEL, SWITZERLAND) 2023; 24:149. [PMID: 38203012 PMCID: PMC10781321 DOI: 10.3390/s24010149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/12/2024]
Abstract
Brain-computer interfaces use signals from the brain, such as EEG, to determine brain states, which in turn can be used to issue commands, for example, to control industrial machinery. While Cloud computing can aid in the creation and operation of industrial multi-user BCI systems, the vast amount of data generated from EEG signals can lead to slow response time and bandwidth problems. Fog computing reduces latency in high-demand computation networks. Hence, this paper introduces a fog computing solution for BCI processing. The solution consists in using fog nodes that incorporate machine learning algorithms to convert EEG signals into commands to control a cyber-physical system. The machine learning module uses a deep learning encoder to generate feature images from EEG signals that are subsequently classified into commands by a random forest. The classification scheme is compared using various classifiers, being the random forest the one that obtained the best performance. Additionally, a comparison was made between the fog computing approach and using only cloud computing through the use of a fog computing simulator. The results indicate that the fog computing method resulted in less latency compared to the solely cloud computing approach.
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Affiliation(s)
- Paula Ivone Rodríguez-Azar
- Departamento de Ingeniería Industrial y Manufactura, Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez 32310, Mexico
| | - Jose Manuel Mejía-Muñoz
- Departamento de Ingeniería Eléctrica, Instituto de Ingenieria y Tecnologia, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez 32310, Mexico;
| | - Oliverio Cruz-Mejía
- Departamento de Ingeniería Industrial, FES Aragón, Universidad Nacional Autónoma de México, Mexico 57171, Mexico;
| | | | - Lucero Verónica Ruelas López
- Departamento de Ingeniería Eléctrica, Instituto de Ingenieria y Tecnologia, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez 32310, Mexico;
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Jia S, Meng Y, Wang Q, Ao L, Gao Y, Yang L, Wang H, Liu Y. Intimate Relationships Weaken Female Competition: Evidence from Phase-amplitude Coupling and Event-Related Potentials. Neuroscience 2023; 534:41-53. [PMID: 37884087 DOI: 10.1016/j.neuroscience.2023.10.013] [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: 07/16/2023] [Revised: 09/22/2023] [Accepted: 10/17/2023] [Indexed: 10/28/2023]
Abstract
Competition, an essential component of social interaction, frequently occurs in daily life, and the impact of intimate relationships on women's competition has not yet been revealed. In this study, the visual target paradigm was used to explore the neural mechanisms underlying the regulation of female competitiveness by intimate relationships using event-related potential (ERP) data, time-frequency analysis, and brain functional connectivity. The research results indicate that, the P1, the N4, and the LPP were sensitive to the impact of intimate relationships on competition. Compared to competition between unfamiliar opposite-gender dyads, the average amplitudes of the N4 and LPP were higher in the late stage of competition between romantic partners. Compared to competition with strangers of the opposite gender, alpha band power was significantly higher when female individuals competed with their romantic partners. In addition, there was a positive correlation between the synchronization of activity in the frontal, parietal, and right temporal lobes of a female's brain and their degree of female engagement in competition. When a female individuals focused on the competition, activity synchronization was higher. The results indicate that competition with unfamiliar individuals of the opposite gender can make female focus on the competitive task, causing synchronous activation of corresponding brain regions. When competing with a romantic partner, women's focus decreases, their willingness to compete decreases, and the synchrony of brain functional connectivity decreases. This study suggests that intimate relationship weakens women's competitiveness, which is of significant importance for understanding high-quality intimate relationship and promoting the development of healthy competition.
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Affiliation(s)
- Shuyu Jia
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China
| | - Yujia Meng
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China
| | - Qian Wang
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China
| | - Lihong Ao
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China
| | - Yuan Gao
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China
| | - Lei Yang
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China
| | - He Wang
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China
| | - Yingjie Liu
- Yingjie Liu, School of Public Health, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China.
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Mustile M, Kourtis D, Edwards MG, Ladouce S, Volpe D, Pilleri M, Pelosin E, Learmonth G, Donaldson DI, Ietswaart M. Characterizing neurocognitive impairments in Parkinson's disease with mobile EEG when walking and stepping over obstacles. Brain Commun 2023; 5:fcad326. [PMID: 38107501 PMCID: PMC10724048 DOI: 10.1093/braincomms/fcad326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 10/03/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023] Open
Abstract
The neural correlates that help us understand the challenges that Parkinson's patients face when negotiating their environment remain under-researched. This deficit in knowledge reflects the methodological constraints of traditional neuroimaging techniques, which include the need to remain still. As a result, much of our understanding of motor disorders is still based on animal models. Daily life challenges such as tripping and falling over obstacles represent one of the main causes of hospitalization for individuals with Parkinson's disease. Here, we report the neural correlates of naturalistic ambulatory obstacle avoidance in Parkinson's disease patients using mobile EEG. We examined 14 medicated patients with Parkinson's disease and 17 neurotypical control participants. Brain activity was recorded while participants walked freely, and while they walked and adjusted their gait to step over expected obstacles (preset adjustment) or unexpected obstacles (online adjustment) displayed on the floor. EEG analysis revealed attenuated cortical activity in Parkinson's patients compared to neurotypical participants in theta (4-7 Hz) and beta (13-35 Hz) frequency bands. The theta power increase when planning an online adjustment to step over unexpected obstacles was reduced in Parkinson's patients compared to neurotypical participants, indicating impaired proactive cognitive control of walking that updates the online action plan when unexpected changes occur in the environment. Impaired action planning processes were further evident in Parkinson's disease patients' diminished beta power suppression when preparing motor adaptation to step over obstacles, regardless of the expectation manipulation, compared to when walking freely. In addition, deficits in reactive control mechanisms in Parkinson's disease compared to neurotypical participants were evident from an attenuated beta rebound signal after crossing an obstacle. Reduced modulation in the theta frequency band in the resetting phase across conditions also suggests a deficit in the evaluation of action outcomes in Parkinson's disease. Taken together, the neural markers of cognitive control of walking observed in Parkinson's disease reveal a pervasive deficit of motor-cognitive control, involving impairments in the proactive and reactive strategies used to avoid obstacles while walking. As such, this study identified neural markers of the motor deficits in Parkinson's disease and revealed patients' difficulties in adapting movements both before and after avoiding obstacles in their path.
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Affiliation(s)
- Magda Mustile
- Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK
- The Psychological Sciences Research Institute, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
| | - Dimitrios Kourtis
- Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK
| | - Martin G Edwards
- The Psychological Sciences Research Institute, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium
| | - Simon Ladouce
- Department of Brain and Cognition, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Daniele Volpe
- Fresco Parkinson Center, Villa Margherita, S. Stefano Riabilitazione, 36100 Vicenza, Italy
| | - Manuela Pilleri
- Fresco Parkinson Center, Villa Margherita, S. Stefano Riabilitazione, 36100 Vicenza, Italy
| | - Elisa Pelosin
- Ospedale Policlinico San Martino, IRCCS, 16132 Genova, Italy
| | - Gemma Learmonth
- Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK
- School of Psychology & Neuroscience, University of Glasgow, Glasgow, G12 8QQ, UK
| | - David I Donaldson
- School of Psychology and Neuroscience, University of St Andrews, St. Andrews, KY16 9AJ, UK
| | - Magdalena Ietswaart
- Psychology, Faculty of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK
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Balconi M, Angioletti L, Acconito C. Self-Awareness of Goals Task (SAGT) and Planning Skills: The Neuroscience of Decision Making. Brain Sci 2023; 13:1163. [PMID: 37626519 PMCID: PMC10452128 DOI: 10.3390/brainsci13081163] [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: 06/28/2023] [Revised: 07/24/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023] Open
Abstract
A goal's self-awareness and the planning to achieve it drive decision makers. Through a neuroscientific approach, this study explores the self-awareness of goals by analyzing the explicit and implicit processes linked to the ability to self-represent goals and sort them via an implicit dominant key. Thirty-five professionals performed a novel and ecological decision-making task, the Self-Awareness of Goals Task (SAGT), aimed at exploring the (i) self-representation of the decision-making goals of a typical working day; (ii) self-representation of how these goals were performed in order of priority; (iii) temporal sequence; and (iv) in terms of their efficacy. Electrophysiological (i.e., alpha, beta, and gamma band), autonomic, behavioral, and self-report data (General Decision Making Style and Big Five Inventory) are collected. Higher self-awareness of goals by time as well as efficacy and the greater activation of alpha, beta, and gamma bands in the temporoparietal brain area were found. Correlations reported positive associations between the self-awareness of goals via a time and dependent decision-making style and a conscientious personality, but also between the self-awareness of goals via an efficacy and rational decision-making style. The results obtained in this study suggest that the SAGT could activate recursive thinking in the examinee and grasp individual differences in self-representation and aware identification of decision-making goals.
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Affiliation(s)
- Michela Balconi
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy; (M.B.); (C.A.)
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy
| | - Laura Angioletti
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy; (M.B.); (C.A.)
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy
| | - Carlotta Acconito
- International Research Center for Cognitive Applied Neuroscience (IrcCAN), Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy; (M.B.); (C.A.)
- Research Unit in Affective and Social Neuroscience, Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli 1, 20123 Milan, Italy
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Rochas V, Montandon ML, Rodriguez C, Herrmann FR, Eytan A, Pegna AJ, Michel CM, Giannakopoulos P. Mentalizing and self-other distinction in visual perspective taking: the analysis of temporal neural processing using high-density EEG. Front Behav Neurosci 2023; 17:1206011. [PMID: 37465000 PMCID: PMC10351605 DOI: 10.3389/fnbeh.2023.1206011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/16/2023] [Indexed: 07/20/2023] Open
Abstract
This high density EEG report dissects the neural processing in the visual perspective taking using four experimental comparisons (Arrow, Avatar and Self, Other). Early activation differences occurred between the Avatar and the Arrow condition in primary visual pathways concomitantly with alpha and beta phase locked responses predominant in the Avatar condition. In later time points, brain activation was stronger for the Avatar condition in paracentral lobule of frontal lobe. When taking the other's perspective, there was an increased recruitment of generators in the occipital and temporal lobes and later on in mentalizing and salience networks bilaterally before spreading to right frontal lobe subdivisions. Microstate analysis further supported late recruitment of the medial frontal gyrus and precentral lobule in this condition. Other perspective for the Avatar only showed a strong beta response located first in left occipito-temporal and right parietal areas, and later on in frontal lobes. Our EEG data support distinct brain processes for the Avatar condition with an increased recruitment of brain generators that progresses from primary visual areas to the anterior brain. Taking the other's perspective needs an early recruitment of neural processors in posterior areas involved in theory of mind with later involvement of additional frontal generators.
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Affiliation(s)
- Vincent Rochas
- Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
- Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland
| | - Marie-Louise Montandon
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Department of Rehabilitation and Geriatrics, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Cristelle Rodriguez
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
| | - François R. Herrmann
- Department of Rehabilitation and Geriatrics, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Ariel Eytan
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
| | - Alan J. Pegna
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - Christoph M. Michel
- Functional Brain Mapping Laboratory, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Panteleimon Giannakopoulos
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Institutional Measures, Medical Direction, Geneva University Hospitals, Geneva, Switzerland
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