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Kulke L. Coregistration of EEG and eye-tracking in infants and developing populations. Atten Percept Psychophys 2024:10.3758/s13414-024-02857-y. [PMID: 38388851 DOI: 10.3758/s13414-024-02857-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2024] [Indexed: 02/24/2024]
Abstract
Infants cannot be instructed where to look; therefore, infant researchers rely on observation of their participant's gaze to make inferences about their cognitive processes. They therefore started studying infant attention in the real world from early on. Developmental researchers were early adopters of methods combining observations of gaze and behaviour with electroencephalography (EEG) to study attention and other cognitive functions. However, the direct combination of eye-tracking methods and EEG to test infants is still rare, as it includes specific challenges. The current article reviews the development of co-registration research in infancy. It points out specific challenges of co-registration in infant research and suggests ways to overcome them. It ends with recommendations for implementing the co-registration of EEG and eye-tracking in infant research to maximise the benefits of the two measures and their combination and to orient on Open Science principles while doing so. In summary, this work shows that the co-registration of EEG and eye-tracking in infant research can be beneficial to studying natural and real-world behaviour despite its challenges.
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Affiliation(s)
- Louisa Kulke
- Department of Developmental Psychology with Educational Psychology, University of Bremen, Hochschulring 18, 28359, Bremen, Germany.
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Köster M, Gruber T. Rhythms of human attention and memory: An embedded process perspective. Front Hum Neurosci 2022; 16:905837. [PMID: 36277046 PMCID: PMC9579292 DOI: 10.3389/fnhum.2022.905837] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 08/29/2022] [Indexed: 11/28/2022] Open
Abstract
It remains a dogma in cognitive neuroscience to separate human attention and memory into distinct modules and processes. Here we propose that brain rhythms reflect the embedded nature of these processes in the human brain, as evident from their shared neural signatures: gamma oscillations (30–90 Hz) reflect sensory information processing and activated neural representations (memory items). The theta rhythm (3–8 Hz) is a pacemaker of explicit control processes (central executive), structuring neural information processing, bit by bit, as reflected in the theta-gamma code. By representing memory items in a sequential and time-compressed manner the theta-gamma code is hypothesized to solve key problems of neural computation: (1) attentional sampling (integrating and segregating information processing), (2) mnemonic updating (implementing Hebbian learning), and (3) predictive coding (advancing information processing ahead of the real time to guide behavior). In this framework, reduced alpha oscillations (8–14 Hz) reflect activated semantic networks, involved in both explicit and implicit mnemonic processes. Linking recent theoretical accounts and empirical insights on neural rhythms to the embedded-process model advances our understanding of the integrated nature of attention and memory – as the bedrock of human cognition.
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Affiliation(s)
- Moritz Köster
- Faculty of Education and Psychology, Freie Universität Berlin, Berlin, Germany
- Institute of Psychology, University of Regensburg, Regensburg, Germany
- *Correspondence: Moritz Köster,
| | - Thomas Gruber
- Institute of Psychology, Osnabrück University, Osnabrück, Germany
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Tichko P, Kim JC, Large E, Loui P. Integrating music-based interventions with Gamma-frequency stimulation: Implications for healthy ageing. Eur J Neurosci 2022; 55:3303-3323. [PMID: 33236353 PMCID: PMC9899516 DOI: 10.1111/ejn.15059] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 11/18/2020] [Accepted: 11/18/2020] [Indexed: 02/07/2023]
Abstract
In recent years, music-based interventions (MBIs) have risen in popularity as a non-invasive, sustainable form of care for treating dementia-related disorders, such as Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD). Despite their clinical potential, evidence regarding the efficacy of MBIs on patient outcomes is mixed. Recently, a line of related research has begun to investigate the clinical impact of non-invasive Gamma-frequency (e.g., 40 Hz) sensory stimulation on dementia. Current work, using non-human-animal models of AD, suggests that non-invasive Gamma-frequency stimulation can remediate multiple pathophysiologies of dementia at the molecular, cellular and neural-systems scales, and, importantly, improve cognitive functioning. These findings suggest that the efficacy of MBIs could, in theory, be enhanced by incorporating Gamma-frequency stimulation into current MBI protocols. In the current review, we propose a novel clinical framework for non-invasively treating dementia-related disorders that combines previous MBIs with current approaches employing Gamma-frequency sensory stimulation. We theorize that combining MBIs with Gamma-frequency stimulation could increase the therapeutic power of MBIs by simultaneously targeting multiple biomarkers of dementia, restoring neural activity that underlies learning and memory (e.g., Gamma-frequency neural activity, Theta-Gamma coupling), and actively engaging auditory and reward networks in the brain to promote behavioural change.
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Affiliation(s)
- Parker Tichko
- Department of Music, Northeastern University, Boston, MA, USA
| | - Ji Chul Kim
- Perception, Action, Cognition (PAC) Division, Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Edward Large
- Perception, Action, Cognition (PAC) Division, Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA,Center for the Ecological Study of Perception & Action (CESPA), Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA,Department of Physics, University of Connecticut, Storrs, CT, USA
| | - Psyche Loui
- Department of Music, Northeastern University, Boston, MA, USA
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Turk E, Vroomen J, Fonken Y, Levy J, van den Heuvel MI. In sync with your child: The potential of parent-child electroencephalography in developmental research. Dev Psychobiol 2022; 64:e22221. [PMID: 35312051 DOI: 10.1002/dev.22221] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 09/29/2021] [Accepted: 10/29/2021] [Indexed: 12/25/2022]
Abstract
Healthy interaction between parent and child is foundational for the child's socioemotional development. Recently, an innovative paradigm shift in electroencephalography (EEG) research has enabled the simultaneous measurement of neural activity in caregiver and child. This dual-EEG or hyperscanning approach, termed parent-child dual-EEG, combines the strength of both behavioral observations and EEG methods. In this review, we aim to inform on the potential of dual-EEG in parents and children (0-6 years) for developmental researchers. We first provide a general overview of the dual-EEG technique and continue by reviewing the first empirical work on the emerging field of parent-child dual-EEG, discussing the limited but fascinating findings on parent-child brain-to-behavior and brain-to-brain synchrony. We then continue by providing an overview of dual-EEG analysis techniques, including the technical challenges and solutions one may encounter. We finish by discussing the potential of parent-child dual-EEG for the future of developmental research. The analysis of multiple EEG data is technical and challenging, but when performed well, parent-child EEG may transform the way we understand how caregiver and child connect on a neurobiological level. Importantly, studying objective physiological measures of parent-child interactions could lead to the identification of novel brain-to-brain synchrony markers of interaction quality.
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Affiliation(s)
- Elise Turk
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| | - Jean Vroomen
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| | - Yvonne Fonken
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| | - Jonathan Levy
- Baruch Ivcher School of Psychology, Interdisciplinary Center Herzliya (IDC), Herzliya, Israel.,Department of Neuroscience and Biomedical Engineering, Aalto University, Aalto, Finland
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Georgieva S, Lester S, Noreika V, Yilmaz MN, Wass S, Leong V. Toward the Understanding of Topographical and Spectral Signatures of Infant Movement Artifacts in Naturalistic EEG. Front Neurosci 2020; 14:352. [PMID: 32410940 PMCID: PMC7199478 DOI: 10.3389/fnins.2020.00352] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 03/23/2020] [Indexed: 11/21/2022] Open
Abstract
Electroencephalography (EEG) is perhaps the most widely used brain-imaging technique for pediatric populations. However, EEG signals are prone to distortion by motion. Compared to adults, infants' motion is both more frequent and less stereotypical yet motion effects on the infant EEG signal are largely undocumented. Here, we present a systematic assessment of naturalistic motion effects on the infant EEG signal. EEG recordings were performed with 14 infants (12 analyzed) who passively watched movies whilst spontaneously producing periods of bodily movement and rest. Each infant produced an average of 38.3 s (SD = 14.7 s) of rest and 18.8 s (SD = 17.9 s) of single motion segments for the final analysis. Five types of infant motions were analyzed: Jaw movements, and Limb movements of the Hand, Arm, Foot, and Leg. Significant movement-related distortions of the EEG signal were detected using cluster-based permutation analysis. This analysis revealed that, relative to resting state, infants' Jaw and Arm movements produced significant increases in beta (∼15 Hz) power, particularly over peripheral sites. Jaw movements produced more anteriorly located effects than Arm movements, which were most pronounced over posterior parietal and occipital sites. The cluster analysis also revealed trends toward decreased power in the theta and alpha bands observed over central topographies for all motion types. However, given the very limited quantity of infant data in this study, caution is recommended in interpreting these findings before subsequent replications are conducted. Nonetheless, this work is an important first step to inform future development of methods for addressing EEG motion-related artifacts. This work also supports wider use of naturalistic paradigms in social and developmental neuroscience.
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Affiliation(s)
- Stanimira Georgieva
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Suzannah Lester
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Valdas Noreika
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Meryem Nazli Yilmaz
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Sam Wass
- Department of Psychology, University of East London, London, United Kingdom
| | - Victoria Leong
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Division of Psychology, Nanyang Technological University, Singapore, Singapore
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Köster M, Haese A, Czernochowski D. Neuronal oscillations reveal the processes underlying intentional compared to incidental learning in children and young adults. PLoS One 2017; 12:e0182540. [PMID: 28767720 PMCID: PMC5540547 DOI: 10.1371/journal.pone.0182540] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 07/20/2017] [Indexed: 12/02/2022] Open
Abstract
This EEG study investigated the neuronal processes during intentional compared to incidental learning in young adults and two groups of children aged 10 and 7 years. Theta (3–8 Hz) and alpha (10–16 Hz) neuronal oscillations were analyzed to compare encoding processes during an intentional and an incidental encoding task. In all three age groups, both encoding conditions were associated with an increase in event-related theta activity. Encoding-related alpha suppression increased with age. Memory performance was higher in the intentional compared to the incidental task in all age groups. Furthermore, intentional learning was associated with an improved encoding of perceptual features, which were relevant for the retrieval phase. Theta activity increased from incidental to intentional encoding. Specifically, frontal theta increased in all age groups, while parietal theta increased only in adults and older children. In younger children, parietal theta was similarly high in both encoding phases. While alpha suppression may reflect semantic processes during encoding, increased theta activity during intentional encoding may indicate perceptual binding processes, in accordance with the demands of the encoding task. Higher encoding-related alpha suppression in the older age groups, together with age differences in parietal theta activity during incidental learning in young children, is in line with recent theoretical accounts, emphasizing the role of perceptual processes in mnemonic processing in young children, whereas semantic encoding processes continue to mature throughout middle childhood.
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Affiliation(s)
- Moritz Köster
- Center for Cognitive Science, Technical University Kaiserslautern, Kaiserslautern, Germany
- Faculty of Education and Psychology, Free University Berlin, Berlin, Germany
| | - André Haese
- Center for Cognitive Science, Technical University Kaiserslautern, Kaiserslautern, Germany
| | - Daniela Czernochowski
- Center for Cognitive Science, Technical University Kaiserslautern, Kaiserslautern, Germany
- * E-mail:
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Kampis D, Parise E, Csibra G, Kovács ÁM. On potential ocular artefacts in infant electroencephalogram: a reply to comments by Köster. Proc Biol Sci 2016; 283:rspb.2016.1285. [PMID: 27440669 PMCID: PMC4971214 DOI: 10.1098/rspb.2016.1285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 06/27/2016] [Indexed: 11/12/2022] Open
Affiliation(s)
- Dora Kampis
- Department of Cognitive Science, Central European University, Budapest 1015, Hungary
| | - Eugenio Parise
- Department of Cognitive Science, Central European University, Budapest 1015, Hungary Department of Psychology, Flyde College, Lancaster University, Lancaster LA1 4YF, UK
| | - Gergely Csibra
- Department of Cognitive Science, Central European University, Budapest 1015, Hungary Department of Psychological Sciences, Birkbeck, University of London, London WC1E 7HX, UK
| | - Ágnes Melinda Kovács
- Department of Cognitive Science, Central European University, Budapest 1015, Hungary
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