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Tan E, Troller-Renfree SV, Morales S, Buzzell GA, McSweeney M, Antúnez M, Fox NA. Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research. Dev Cogn Neurosci 2024; 67:101404. [PMID: 38852382 DOI: 10.1016/j.dcn.2024.101404] [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: 11/02/2023] [Revised: 05/28/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024] Open
Abstract
The theta band is one of the most prominent frequency bands in the electroencephalography (EEG) power spectrum and presents an interesting paradox: while elevated theta power during resting state is linked to lower cognitive abilities in children and adolescents, increased theta power during cognitive tasks is associated with higher cognitive performance. Why does theta power, measured during resting state versus cognitive tasks, show differential correlations with cognitive functioning? This review provides an integrated account of the functional correlates of theta across different contexts. We first present evidence that higher theta power during resting state is correlated with lower executive functioning, attentional abilities, language skills, and IQ. Next, we review research showing that theta power increases during memory, attention, and cognitive control, and that higher theta power during these processes is correlated with better performance. Finally, we discuss potential explanations for the differential correlations between resting/task-related theta and cognitive functioning, and offer suggestions for future research in this area.
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Affiliation(s)
- Enda Tan
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20740, USA.
| | | | - Santiago Morales
- Department of Psychology, University of Southern California, CA 90007, USA
| | - George A Buzzell
- Department of Psychology, Florida International University, FL 33199, USA
| | - Marco McSweeney
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA
| | - Martín Antúnez
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA
| | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD 20740, USA; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20740, USA
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Chen S, Zhang C, Yang H, Peng L, Xie H, Lv Z, Hou ZG. A Multi-Modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease Using Three Paradigms With Various Task Difficulties. IEEE Trans Neural Syst Rehabil Eng 2024; 32:1477-1486. [PMID: 38568773 DOI: 10.1109/tnsre.2024.3379891] [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: 04/05/2024]
Abstract
Alzheimer's Disease (AD) accounts for the majority of dementia, and Mild Cognitive Impairment (MCI) is the early stage of AD. Early and accurate diagnosis of dementia plays a vital role in more targeted treatments and effectively halting disease progression. However, the clinical diagnosis of dementia requires various examinations, which are expensive and require a high level of expertise from the doctor. In this paper, we proposed a classification method based on multi-modal data including Electroencephalogram (EEG), eye tracking and behavioral data for early diagnosis of AD and MCI. Paradigms with various task difficulties were used to identify different severity of dementia: eye movement task and resting-state EEG tasks were used to detect AD, while eye movement task and delayed match-to-sample task were used to detect MCI. Besides, the effects of different features were compared and suitable EEG channels were selected for the detection. Furthermore, we proposed a data augmentation method to enlarge the dataset, designed an extra ERPNet feature extract layer to extract multi-modal features and used domain-adversarial neural network to improve the performance of MCI diagnosis. We achieved an average accuracy of 88.81% for MCI diagnosis and 100% for AD diagnosis. The results of this paper suggest that our classification method can provide a feasible and affordable way to diagnose dementia.
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Bagdasarov A, Brunet D, Michel CM, Gaffrey MS. Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability. Brain Topogr 2024:10.1007/s10548-024-01043-5. [PMID: 38430283 DOI: 10.1007/s10548-024-01043-5] [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: 07/12/2023] [Accepted: 02/16/2024] [Indexed: 03/03/2024]
Abstract
Microstate analysis of resting-state EEG is a unique data-driven method for identifying patterns of scalp potential topographies, or microstates, that reflect stable but transient periods of synchronized neural activity evolving dynamically over time. During infancy - a critical period of rapid brain development and plasticity - microstate analysis offers a unique opportunity for characterizing the spatial and temporal dynamics of brain activity. However, whether measurements derived from this approach (e.g., temporal properties, transition probabilities, neural sources) show strong psychometric properties (i.e., reliability) during infancy is unknown and key information for advancing our understanding of how microstates are shaped by early life experiences and whether they relate to individual differences in infant abilities. A lack of methodological resources for performing microstate analysis of infant EEG has further hindered adoption of this cutting-edge approach by infant researchers. As a result, in the current study, we systematically addressed these knowledge gaps and report that most microstate-based measurements of brain organization and functioning except for transition probabilities were stable with four minutes of video-watching resting-state data and highly internally consistent with just one minute. In addition to these results, we provide a step-by-step tutorial, accompanying website, and open-access data for performing microstate analysis using a free, user-friendly software called Cartool. Taken together, the current study supports the reliability and feasibility of using EEG microstate analysis to study infant brain development and increases the accessibility of this approach for the field of developmental neuroscience.
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Affiliation(s)
- Armen Bagdasarov
- Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA.
| | - Denis Brunet
- Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland
- Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland
| | - Christoph M Michel
- Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland
- Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland
| | - Michael S Gaffrey
- Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA
- Children's Wisconsin, 9000 W. Wisconsin Avenue, Milwaukee, WI, 53226, USA
- Medical College of Wisconsin, Division of Pediatric Psychology and Developmental Medicine, Department of Pediatrics, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA
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Bánki A, Köster M, Cichy RM, Hoehl S. Communicative signals during joint attention promote neural processes of infants and caregivers. Dev Cogn Neurosci 2024; 65:101321. [PMID: 38061133 PMCID: PMC10754706 DOI: 10.1016/j.dcn.2023.101321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 10/13/2023] [Accepted: 11/04/2023] [Indexed: 01/01/2024] Open
Abstract
Communicative signals such as eye contact increase infants' brain activation to visual stimuli and promote joint attention. Our study assessed whether communicative signals during joint attention enhance infant-caregiver dyads' neural responses to objects, and their neural synchrony. To track mutual attention processes, we applied rhythmic visual stimulation (RVS), presenting images of objects to 12-month-old infants and their mothers (n = 37 dyads), while we recorded dyads' brain activity (i.e., steady-state visual evoked potentials, SSVEPs) with electroencephalography (EEG) hyperscanning. Within dyads, mothers either communicatively showed the images to their infant or watched the images without communicative engagement. Communicative cues increased infants' and mothers' SSVEPs at central-occipital-parietal, and central electrode sites, respectively. Infants showed significantly more gaze behaviour to images during communicative engagement. Dyadic neural synchrony (SSVEP amplitude envelope correlations, AECs) was not modulated by communicative cues. Taken together, maternal communicative cues in joint attention increase infants' neural responses to objects, and shape mothers' own attention processes. We show that communicative cues enhance cortical visual processing, thus play an essential role in social learning. Future studies need to elucidate the effect of communicative cues on neural synchrony during joint attention. Finally, our study introduces RVS to study infant-caregiver neural dynamics in social contexts.
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Affiliation(s)
- Anna Bánki
- University of Vienna, Faculty of Psychology, Vienna, Austria.
| | - Moritz Köster
- University of Regensburg, Institute for Psychology, Regensburg, Germany; Freie Universität Berlin, Faculty of Education and Psychology, Berlin, Germany
| | | | - Stefanie Hoehl
- University of Vienna, Faculty of Psychology, Vienna, Austria
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Phillips E, Goupil L, Whitehorn M, Bruce-Gardyne E, Csolsim F, Marriott-Haresign I, Wass S. Proactive or reactive? Neural oscillatory insight into the leader-follower dynamics of early infant-caregiver interaction. Proc Natl Acad Sci U S A 2023; 120:e2122481120. [PMID: 37014853 PMCID: PMC10104541 DOI: 10.1073/pnas.2122481120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 11/29/2022] [Indexed: 04/05/2023] Open
Abstract
We know that infants' ability to coordinate attention with others toward the end of the first year is fundamental to language acquisition and social cognition. Yet, we understand little about the neural and cognitive mechanisms driving infant attention in shared interaction: do infants play a proactive role in creating episodes of joint attention? Recording electroencephalography (EEG) from 12-mo-old infants while they engaged in table-top play with their caregiver, we examined the communicative behaviors and neural activity preceding and following infant- vs. adult-led joint attention. Infant-led episodes of joint attention appeared largely reactive: they were not associated with increased theta power, a neural marker of endogenously driven attention, and infants did not increase their ostensive signals before the initiation. Infants were, however, sensitive to whether their initiations were responded to. When caregivers joined their attentional focus, infants showed increased alpha suppression, a pattern of neural activity associated with predictive processing. Our results suggest that at 10 to 12 mo, infants are not routinely proactive in creating joint attention episodes yet. They do, however, anticipate behavioral contingency, a potentially foundational mechanism for the emergence of intentional communication.
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Affiliation(s)
| | - Louise Goupil
- Centre National de la Recherche Scientifique, Laboratoire de Psychologie et NeuroCognition, Université Grenoble Alpes, 38000Grenoble, France
| | - Megan Whitehorn
- Department of Psychology, University of East London, London, UKE15 4LZ
| | | | | | | | - Sam V. Wass
- Department of Psychology, University of East London, London, UKE15 4LZ
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Abul Hasan M, Shahid H, Ahmed Qazi S, Ejaz O, Danish Mujib M, Vuckovic A. Underpinning the neurological source of executive function following cross hemispheric tDCS stimulation. Int J Psychophysiol 2023; 185:1-10. [PMID: 36634750 DOI: 10.1016/j.ijpsycho.2023.01.004] [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: 05/08/2022] [Revised: 12/22/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023]
Abstract
Transcranial direct current stimulation (tDCS) is a promising technique for enhancement of executive functions in healthy as well as neurologically disturbed patients. However, the evidence regarding the neuropsychological and behavioral change with neurophysiological shifts as well as the mechanism of tDCS action as evidenced by activation of neuronal sources important for executive functions have remained unaddressed. The study thereby endeavors to (1) determine the neuropsychological, behavioral, and neurophysiological change induced with five sessions of bilateral tDCS stimulation and (2) identify putative neuronal sources related to the executive functions responsible for neuropsychological and behavioral change. For this single blinded study, a total of 40 healthy participants, randomly allocated to active (n = 19) or sham (n = 21) groups completed five sessions of 2 mA tDCS stimulation administered over Dorso-Lateral Prefrontal Cortex (DLPFC) (F3 as anode, F4 as cathode). Repeated measure analysis was performed on neuropsychological (Everyday Memory Questionnaire and Mindful Attention Awareness Scale), and behavioral assessment (n-Back and Stroop tests) to investigate within and between group differences. Pre and post neurophysiological (Electroencephalogram) results showed that bilateral tDCS stimulation activates cortical regions responsible for executive functions including updation (working memory) and inhibition (interference control or attention). Multiple sessions of bilateral tDCS stimulation results in a significant increase in theta, alpha, and beta-band activity in the DLPFC, cingulate and parietal cortex. This study provides evidence that tDCS can be used for performance enhancement of executive functions in able-bodied people.
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Affiliation(s)
- Muhammad Abul Hasan
- Department of Biomedical Engineering, NED University of Engineering & Technology, Karachi, Pakistan; Neurocomputation Laboratory, National Center of Artificial Intelligence, Karachi, Pakistan
| | - Hira Shahid
- Neurocomputation Laboratory, National Center of Artificial Intelligence, Karachi, Pakistan; Research Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom.
| | - Saad Ahmed Qazi
- Neurocomputation Laboratory, National Center of Artificial Intelligence, Karachi, Pakistan; Department of Electrical Engineering, NED University of Engineering & Technology, Karachi, Pakistan
| | - Osama Ejaz
- Neurocomputation Laboratory, National Center of Artificial Intelligence, Karachi, Pakistan
| | - Muhammad Danish Mujib
- Department of Biomedical Engineering, NED University of Engineering & Technology, Karachi, Pakistan
| | - Aleksandra Vuckovic
- Biomedical Engineering Division, University of Glasgow, Glasgow, United Kingdom
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Ren Z, Zhao Y, Han X, Yue M, Wang B, Zhao Z, Wen B, Hong Y, Wang Q, Hong Y, Zhao T, Wang N, Zhao P. An objective model for diagnosing comorbid cognitive impairment in patients with epilepsy based on the clinical-EEG functional connectivity features. Front Neurosci 2023; 16:1060814. [PMID: 36711136 PMCID: PMC9878185 DOI: 10.3389/fnins.2022.1060814] [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: 10/15/2022] [Accepted: 12/28/2022] [Indexed: 01/15/2023] Open
Abstract
Objective Cognitive impairment (CI) is a common disorder in patients with epilepsy (PWEs). Objective assessment method for diagnosing CI in PWEs would be beneficial in reality. This study proposed to construct a diagnostic model for CI in PWEs using the clinical and the phase locking value (PLV) functional connectivity features of the electroencephalogram (EEG). Methods PWEs who met the inclusion and exclusion criteria were divided into a cognitively normal (CON) group (n = 55) and a CI group (n = 76). The 23 clinical features and 684 PLV EEG features at the time of patient visit were screened and ranked using the Fisher score. Adaptive Boosting (AdaBoost) and Gradient Boosting Decision Tree (GBDT) were used as algorithms to construct diagnostic models of CI in PWEs either with pure clinical features, pure PLV EEG features, or combined clinical and PLV EEG features. The performance of these models was assessed using a five-fold cross-validation method. Results GBDT-built model with combined clinical and PLV EEG features performed the best with accuracy, precision, recall, F1-score, and an area under the curve (AUC) of 90.11, 93.40, 89.50, 91.39, and 0.95%. The top 5 features found to influence the model performance based on the Fisher scores were the magnetic resonance imaging (MRI) findings of the head for abnormalities, educational attainment, PLV EEG in the beta (β)-band C3-F4, seizure frequency, and PLV EEG in theta (θ)-band Fp1-Fz. A total of 12 of the top 5% of features exhibited statistically different PLV EEG features, while eight of which were PLV EEG features in the θ band. Conclusion The model constructed from the combined clinical and PLV EEG features could effectively identify CI in PWEs and possess the potential as a useful objective evaluation method. The PLV EEG in the θ band could be a potential biomarker for the complementary diagnosis of CI comorbid with epilepsy.
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Affiliation(s)
- Zhe Ren
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, Henan, China
| | - Yibo Zhao
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, Henan, China
| | - Xiong Han
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China,*Correspondence: Xiong Han,
| | - Mengyan Yue
- Department of Rehabilitation, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Bin Wang
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zongya Zhao
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan, China
| | - Bin Wen
- School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Yang Hong
- Department of Neurology, People’s Hospital of Henan University, Zhengzhou, Henan, China
| | - Qi Wang
- Department of Neurology, Zhengzhou University People’s Hospital, Zhengzhou, Henan, China
| | - Yingxing Hong
- Department of Neurology, People’s Hospital of Henan University, Zhengzhou, Henan, China
| | - Ting Zhao
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Na Wang
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Pan Zhao
- Department of Neurology, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Larson LM, Feuerriegel D, Hasan MI, Braat S, Jin J, Tipu SMU, Shiraji S, Tofail F, Biggs BA, Hamadani J, Johnson K, Pasricha SR, Bode S. Supplementation With Iron Syrup or Iron-Containing Multiple Micronutrient Powders Alters Resting Brain Activity in Bangladeshi Children. J Nutr 2023; 153:352-363. [PMID: 36913472 DOI: 10.1016/j.tjnut.2022.12.026] [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: 10/11/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Anemia and iron deficiency have been associated with poor child cognitive development. A key rationale for the prevention of anemia using supplementation with iron has been the benefits to neurodevelopment. However, little causal evidence exists for these gains. OBJECTIVES We aimed to examine effects of supplementation with iron or multiple micronutrient powders (MNPs) on brain activity measures using resting electroencephalography (EEG). METHODS Children included in this neurocognitive substudy were randomly selected from the Benefits and Risks of Iron Supplementation in Children study, a double-blind, double-dummy, individually randomized, parallel-group trial in Bangladesh, in which children, starting at 8 mo of age, received 3 mo of daily iron syrup, MNPs, or placebo. Resting brain activity was recorded using EEG immediately after intervention (month 3) and after a further 9-month follow-up (month 12). We derived EEG band power measures for delta, theta, alpha, and beta frequency bands. Linear regression models were used to compare the effect of each intervention with that of placebo on the outcomes. RESULTS Data from 412 children at month 3 and 374 at month 12 were analyzed. At baseline, 43.9% were anemic and 26.7% were iron deficient. Immediately after intervention, iron syrup, but not MNPs, increased the mu alpha-band power, a measure that is associated with maturity and the production of motor actions (iron vs. placebo: mean difference = 0.30; 95% CI: 0.11, 0.50 μV2; P = 0.003; false discovery rate adjusted P = 0.015). Despite effects on hemoglobin and iron status, effects were not observed on the posterior alpha, beta, delta, and theta bands, nor were effects sustained at the 9-month follow-up. CONCLUSIONS The effect size for immediate effects on the mu alpha-band power is comparable in magnitude with psychosocial stimulation interventions and poverty reduction strategies. However, overall, we did not find evidence for long-lasting changes in resting EEG power spectra from iron interventions in young Bangladeshi children. This trial was registered at www.anzctr.org.au as ACTRN12617000660381.
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Affiliation(s)
- Leila M Larson
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia; Department of Infectious Diseases at the Peter Doherty Institute, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Daniel Feuerriegel
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mohammed Imrul Hasan
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Sabine Braat
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia; Department of Infectious Diseases at the Peter Doherty Institute, The University of Melbourne, Melbourne, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Jerry Jin
- Department of Infectious Diseases at the Peter Doherty Institute, The University of Melbourne, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sm Mulk Uddin Tipu
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Shamima Shiraji
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Fahmida Tofail
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Beverley-Ann Biggs
- Department of Infectious Diseases at the Peter Doherty Institute, The University of Melbourne, Melbourne, Victoria, Australia; The Victorian Infectious Diseases Service, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Jena Hamadani
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Katherine Johnson
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sant-Rayn Pasricha
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia; Diagnostic Haematology, The Royal Melbourne Hospital, Parkville, Victoria, Australia; Diagnostic Haematology and Clinical Haematology, The Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Stefan Bode
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
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Meyer M, van Schaik JE, Poli F, Hunnius S. How infant-directed actions enhance infants' attention, learning, and exploration: Evidence from EEG and computational modeling. Dev Sci 2023; 26:e13259. [PMID: 35343042 PMCID: PMC10078262 DOI: 10.1111/desc.13259] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 02/16/2022] [Accepted: 03/12/2022] [Indexed: 12/15/2022]
Abstract
When teaching infants new actions, parents tend to modify their movements. Infants prefer these infant-directed actions (IDAs) over adult-directed actions and learn well from them. Yet, it remains unclear how parents' action modulations capture infants' attention. Typically, making movements larger than usual is thought to draw attention. Recent findings, however, suggest that parents might exploit movement variability to highlight actions. We hypothesized that variability in movement amplitude rather than higher amplitude is capturing infants' attention during IDAs. Using EEG, we measured 15-month-olds' brain activity while they were observing action demonstrations with normal, high, or variable amplitude movements. Infants' theta power (4-5 Hz) in fronto-central channels was compared between conditions. Frontal theta was significantly higher, indicating stronger attentional engagement, in the variable compared to the other conditions. Computational modelling showed that infants' frontal theta power was predicted best by how surprising each movement was. Thus, surprise induced by variability in movements rather than large movements alone engages infants' attention during IDAs. Infants with higher theta power for variable movements were more likely to perform actions successfully and to explore objects novel in the context of the given goal. This highlights the brain mechanisms by which IDAs enhance infants' attention, learning, and exploration.
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Affiliation(s)
- Marlene Meyer
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands.,Department of Psychology, University of Chicago, Chicago, USA
| | - Johanna E van Schaik
- Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Francesco Poli
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Sabine Hunnius
- Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
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10
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Gossé LK, Wiesemann F, Elwell CE, Jones EJH. Habitual night waking associates with dynamics of waking cortical theta power in infancy. Dev Psychobiol 2022; 64:e22344. [PMID: 36426793 PMCID: PMC9828365 DOI: 10.1002/dev.22344] [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: 01/16/2022] [Revised: 07/27/2022] [Accepted: 09/21/2022] [Indexed: 11/23/2022]
Abstract
The implications of the substantial individual differences in infant sleep for early brain development remain unclear. Here, we examined whether night sleep quality relates to daytime brain activity, operationalized through measures of EEG theta power and its dynamic modulation, which have been previously linked to later cognitive development. For this longitudinal study, 76 typically developing infants were studied (age: 4-14 months, 166 individual study visits) over the course of 6 months with one, two, three, or four lab visits. Habitual sleep was measured with a 7-day sleep diary and actigraphy, and the Brief Infant Sleep Questionnaire. Twenty-channel EEG was recorded while infants watched multiple rounds of videos of women singing nursery rhymes; oscillatory power in the theta band was extracted. Key metrics were average theta across stimuli and the slope of change in theta within the first novel movie. Both objective and subjective sleep assessment methods showed a relationship between more night waking and higher overall theta power and reduced dynamic modulation of theta over the course of the novel video stimuli. These results may indicate altered learning and consolidation in infants with more disrupted night sleep, which may have implications for cognitive development.
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Affiliation(s)
- Louisa K. Gossé
- Centre for Brain and Cognitive Development, BirkbeckUniversity of LondonLondonUK
| | - Frank Wiesemann
- Research & DevelopmentProcter & GambleSchwalbach am TaunusGermany
| | - Clare E. Elwell
- Department of Medical Physics and Biomedical Engineering, Biomedical Optics Research LaboratoryUniversity College LondonLondonUK
| | - Emily J. H. Jones
- Centre for Brain and Cognitive Development, BirkbeckUniversity of LondonLondonUK
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11
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Fatić S, Stanojević N, Stokić M, Nenadović V, Jeličić L, Bilibajkić R, Gavrilović A, Maksimović S, Adamović T, Subotić M. Electroen cephalography correlates of word and non-word listening in children with specific language impairment: An observational study20F0. Medicine (Baltimore) 2022; 101:e31840. [PMID: 36401430 PMCID: PMC9678566 DOI: 10.1097/md.0000000000031840] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Auditory processing in children diagnosed with speech and language impairment (SLI) is atypical and characterized by reduced brain activation compared to typically developing (TD) children. In typical speech and language development processes, frontal, temporal, and posterior regions are engaged during single-word listening, while for non-word listening, it is highly unlikely that perceiving or speaking them is not followed by frequent neurones' activation enough to form stable network connections. This study aimed to investigate the electrophysiological cortical activity of alpha rhythm while listening words and non-words in children with SLI compared to TD children. The participants were 50 children with SLI, aged 4 to 6, and 50 age-related TD children. Groups were divided into 2 subgroups: first subgroup - children aged 4.0 to 5.0 years old (E = 25, C = 25) and second subgroup - children aged 5.0 to 6.0 years old (E = 25, C = 25). The younger children's group did not show statistically significant differences in alpha spectral power in word or non-word listening. In contrast, in the older age group for word and non-word listening, differences were present in the prefrontal, temporal, and parieto-occipital regions bilaterally. Children with SLI showed a certain lack of alpha desynchronization in word and non-word listening compared with TD children. Non-word perception arouses more brain regions because of the unknown presence of the word stimuli. The lack of adequate alpha desynchronization is consistent with established difficulties in lexical and phonological processing at the behavioral level in children with SLI.
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Affiliation(s)
- Saška Fatić
- Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology ˝Đorđe Kostić˝, Belgrade, Serbia
- *Correspondence: Saška Fatić, Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Gospodar Jovanova 35, Belgrade 11 000, Serbia (e-mail: )
| | - Nina Stanojević
- Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology ˝Đorđe Kostić˝, Belgrade, Serbia
| | - Miodrag Stokić
- University of Belgrade, Faculty of Biology, Belgrade, Serbia
| | - Vanja Nenadović
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology ˝Đorđe Kostić˝, Belgrade, Serbia
| | - Ljiljana Jeličić
- Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology ˝Đorđe Kostić˝, Belgrade, Serbia
| | - Ružica Bilibajkić
- Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Belgrade, Serbia
| | - Aleksandar Gavrilović
- Faculty of Medical Sciences, Department of Neurology, University of Kragujevac, Kragujevac, Serbia
- Clinic of Neurology, Clinical Center Kragujevac, Kragujevac, Serbia
| | - Slavica Maksimović
- Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology ˝Đorđe Kostić˝, Belgrade, Serbia
| | - Tatjana Adamović
- Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Belgrade, Serbia
- Department of Speech, Language, and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology ˝Đorđe Kostić˝, Belgrade, Serbia
| | - Miško Subotić
- Department for Cognitive Neuroscience, Research and Development Institute “Life Activities Advancement Center”, Belgrade, Serbia
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12
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Werchan DM, Brandes-Aitken A, Brito NH. Signal in the noise: Dimensions of predictability in the home auditory environment are associated with neurobehavioral measures of early infant sustained attention. Dev Psychobiol 2022; 64:e22325. [PMID: 36282744 PMCID: PMC9901200 DOI: 10.1002/dev.22325] [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: 05/24/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 01/27/2023]
Abstract
The home auditory environment influences the development of early language abilities, and excessive noise exposure is increasingly linked with deficits in language and reading scores in children. However, fewer studies have considered the role of noise exposure in shaping the development of attentional processing in early infancy, a foundational neurocognitive skill relevant for learning. Here, we used passive at-home auditory recording to investigate how multiple dimensions of infants' home auditory environments, including both the quantity and the predictability of auditory input, impacts neural and behavioral measures of sustained attention in a sociodemographically diverse sample of 3-month-old infants (N = 98 infants, 62 males; age M = 3.48 months, SD = 0.39; 52% Hispanic/Latino). Results indicated that infants who were exposed to more predictable patterns of auditory input in the home demonstrated longer overall time in sustained attention during laboratory assessments. In addition, infants' who experienced more predictable auditory input also demonstrated greater relative increases in electroencephalography frontal theta power during periods of sustained attention, a neural marker relevant to information processing and attentional control. These findings provide novel evidence into the importance of the predictability of early environmental inputs in shaping developing cortical circuitry and attentional systems from the first months of postnatal life.
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Affiliation(s)
- Denise M. Werchan
- Department of Child & Adolescent Psychiatry, New York University School of Medicine, New York, New York, USA
| | | | - Natalie H. Brito
- Department of Applied Psychology, New York University, New York, New York, USA
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13
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Can EEG Correlates Predict Treatment Efficacy in Children with Overlapping ASD and SLI Symptoms: A Case Report. Diagnostics (Basel) 2022; 12:diagnostics12051110. [PMID: 35626266 PMCID: PMC9139884 DOI: 10.3390/diagnostics12051110] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 04/11/2022] [Accepted: 04/22/2022] [Indexed: 11/26/2022] Open
Abstract
Evaluation of the rehabilitation efficacy may be an essential indicator of its further implementation and planning. The research aim is to examine whether the estimation of EEG correlates of auditory-verbal processing in a child with overlapping autism spectrum disorder (ASD) and specific language impairment (SLI) symptoms may be a predictor of the treatment efficacy in conditions when behavioral tests do not show improvement during the time course. The prospective case report reports follow-up results in a child aged 36 to 66 months. During continuous integrative therapy, autism risk index, cognitive, speech–language, sensory, and EEG correlates of auditory-verbal information processing are recorded in six test periods, and their mutual interrelation was analyzed. The obtained results show a high statistically significant correlation of all observed functions with EEG correlates related to the difference between the average mean values of theta rhythm in the left (F1, F3, F7) and right (F2, F4, F8) frontal region. The temporal dynamics of the examined processes point to the consistency of the evaluated functions increasing with time flow. These findings indicate that EEG correlates of auditory-verbal processing may be used to diagnose treatment efficacy in children with overlapping ASD and SLI.
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14
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Wass S, Perapoch Amadó M, Ives J. How the ghost learns to drive the machine? Oscillatory entrainment to our early social or physical environment and the emergence of volitional control. Dev Cogn Neurosci 2022; 54:101102. [PMID: 35398645 PMCID: PMC9010552 DOI: 10.1016/j.dcn.2022.101102] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/18/2022] [Accepted: 03/23/2022] [Indexed: 01/08/2023] Open
Abstract
An individual’s early interactions with their environment are thought to be largely passive; through the early years, the capacity for volitional control develops. Here, we consider: how is the emergence of volitional control characterised by changes in the entrainment observed between internal activity (behaviour, physiology and brain activity) and the sights and sounds in our everyday environment (physical and social)? We differentiate between contingent responsiveness (entrainment driven by evoked responses to external events) and oscillatory entrainment (driven by internal oscillators becoming temporally aligned with external oscillators). We conclude that ample evidence suggests that children show behavioural, physiological and neural entrainment to their physical and social environment, irrespective of volitional attention control; however, evidence for oscillatory entrainment beyond contingent responsiveness is currently lacking. Evidence for how oscillatory entrainment changes over developmental time is also lacking. Finally, we suggest a mechanism through which periodic environmental rhythms might facilitate both sensory processing and the development of volitional control even in the absence of oscillatory entrainment.
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15
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Alotaibi N, Bakheet D, Konn D, Vollmer B, Maharatna K. Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal. Front Hum Neurosci 2022; 15:795006. [PMID: 35153702 PMCID: PMC8830486 DOI: 10.3389/fnhum.2021.795006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/10/2021] [Indexed: 12/03/2022] Open
Abstract
Impaired neurodevelopmental outcome, in particular cognitive impairment, after neonatal hypoxic-ischemic encephalopathy is a major concern for parents, clinicians, and society. This study aims to investigate the potential benefits of using advanced quantitative electroencephalography analysis (qEEG) for early prediction of cognitive outcomes, assessed here at 2 years of age. EEG data were recorded within the first week after birth from a cohort of twenty infants with neonatal hypoxic-ischemic encephalopathy (HIE). A proposed regression framework was based on two different sets of features, namely graph-theoretical features derived from the weighted phase-lag index (WPLI) and entropies metrics represented by sample entropy (SampEn), permutation entropy (PEn), and spectral entropy (SpEn). Both sets of features were calculated within the noise-assisted multivariate empirical mode decomposition (NA-MEMD) domain. Correlation analysis showed a significant association in the delta band between the proposed features, graph attributes (radius, transitivity, global efficiency, and characteristic path length) and entropy features (Pen and SpEn) from the neonatal EEG data and the cognitive development at age two years. These features were used to train and test the tree ensemble (boosted and bagged) regression models. The highest prediction performance was reached to 14.27 root mean square error (RMSE), 12.07 mean absolute error (MAE), and 0.45 R-squared using the entropy features with a boosted tree regression model. Thus, the results demonstrate that the proposed qEEG features show the state of brain function at an early stage; hence, they could serve as predictive biomarkers of later cognitive impairment, which could facilitate identifying those who might benefit from early targeted intervention.
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Affiliation(s)
- Noura Alotaibi
- School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom
- Department of Computer Science and Artificial Intelligence, University of Jeddah, Jeddah, Saudi Arabia
| | - Dalal Bakheet
- School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom
- Department of Computer Science and Artificial Intelligence, University of Jeddah, Jeddah, Saudi Arabia
| | - Daniel Konn
- Clinical Neurophysiology, University Hospital Southampton, Southampton, United Kingdom
| | - Brigitte Vollmer
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Paediatric Neurology, Southampton Children’s Hospital, Southampton, United Kingdom
| | - Koushik Maharatna
- School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom
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16
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van Noordt S, Heffer T, Willoughby T. A developmental examination of medial frontal theta dynamics and inhibitory control. Neuroimage 2021; 246:118765. [PMID: 34875380 DOI: 10.1016/j.neuroimage.2021.118765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 11/19/2021] [Accepted: 11/24/2021] [Indexed: 12/11/2022] Open
Abstract
Medial frontal theta-band oscillations are a robust marker of action-outcome monitoring. In a large developmental sample (n = 432, 9-16 years), we examined whether phase and non-phase locked medial frontal theta power were related to inhibitory control among children and adolescents. Our results showed that the well-established increase in medial frontal theta power during inhibitory control was captured largely by non-phase locked dynamics, which partially mediated the positive effect of age on task performance. A person-centered approach also revealed latent classes of individuals based on their multivariate theta power dynamics (phase locked/non-phase locked, GO/NOGO). The class of individuals showing low phase locked and high non-phase locked medial frontal theta were significantly older, had better inhibitory control, scored higher on measures of general cognitive function, and were more efficient in their behavioural responses. The functional significance of phase and non-phase locked theta dynamics, and their potential changes, could have important implications for action-outcome monitoring and cognitive function in both typical and atypical development, as well as related psychopathology .
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Affiliation(s)
- Stefon van Noordt
- Department of Psychology, Mount Saint Vincent University, Halifax, NS, Canada; Department of Psychology, Brock University, St. Catharines, Ontario, Canada.
| | - Taylor Heffer
- Department of Psychology, Brock University, St. Catharines, Ontario, Canada
| | - Teena Willoughby
- Department of Psychology, Brock University, St. Catharines, Ontario, Canada
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17
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Chevalier N, Hadley LV, Balthrop K. Midfrontal theta oscillations and conflict monitoring in children and adults. Dev Psychobiol 2021; 63:e22216. [PMID: 34813101 DOI: 10.1002/dev.22216] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/28/2021] [Accepted: 10/30/2021] [Indexed: 12/31/2022]
Abstract
Conflict monitoring is central in cognitive control, as detection of conflict serves as a signal for the need to engage control. This study examined whether (1) midfrontal theta oscillations similarly support conflict monitoring in children and adults, and (2) performance monitoring difficulty influences conflict monitoring and resolution. Children (n = 25) and adults (n = 24) completed a flanker task with fair or rigged response feedback. Relative to adults, children showed a smaller congruency effect on midfrontal theta power, overall lower midfrontal theta power and coherence, and (unlike adults) no correlation between midfrontal theta power and N2 amplitude, suggesting that reduced neural communication efficiency contributes to less efficient conflict monitoring in children than adults. In both age groups, response feedback fairness affected response times and the P3, but neither midfrontal theta oscillations nor the N2, indicating that performance monitoring difficulty influenced conflict resolution but not conflict monitoring.
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Affiliation(s)
| | - Lauren V Hadley
- Hearing Sciences-Scottish Section, Glasgow Royal Infirmary, University of Nottingham, Glasgow, UK
| | - Kullen Balthrop
- University Counseling Services, Murray State University, Murray, Kentucky, USA
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18
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Meyer M, Lamers D, Kayhan E, Hunnius S, Oostenveld R. Enhancing reproducibility in developmental EEG research: BIDS, cluster-based permutation tests, and effect sizes. Dev Cogn Neurosci 2021; 52:101036. [PMID: 34801856 PMCID: PMC8607163 DOI: 10.1016/j.dcn.2021.101036] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 10/29/2021] [Accepted: 11/11/2021] [Indexed: 01/02/2023] Open
Abstract
Developmental research using electroencephalography (EEG) offers valuable insights in brain processes early in life, but at the same time, applying this sensitive technique to young children who are often non-compliant and have short attention spans comes with practical limitations. It is thus of particular importance to optimally use the limited resources to advance our understanding of development through reproducible and replicable research practices. Here, we describe methodological approaches that help maximize the reproducibility of developmental EEG research. We discuss how to transform EEG data into the standardized Brain Imaging Data Structure (BIDS) which organizes data according to the FAIR data sharing principles. We provide a tutorial on how to use cluster-based permutation testing to analyze developmental EEG data. This versatile test statistic solves the multiple comparison problem omnipresent in EEG analysis and thereby substantially decreases the risk of reporting false discoveries. Finally, we describe how to quantify effect sizes, in particular of cluster-based permutation results. Reporting effect sizes conveys a finding’s impact and robustness which in turn informs future research. To demonstrate these methodological approaches to data organization, analysis and report, we use a publicly accessible infant EEG dataset and provide a complete copy of the analysis code. Methods for enhancing reproducibility in developmental EEG research. Tutorial for converting EEG data into BIDS to adopt FAIR data sharing principles. How to use cluster-based permutation testing to analyze developmental EEG data. How to quantify effect sizes, particularly of cluster-based permutation results.
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Affiliation(s)
- Marlene Meyer
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, NL, USA; Department of Psychology, University of Chicago, Chicago, IL, USA
| | - Didi Lamers
- Radboud University Library, Radboud University, Nijmegen, NL, USA
| | - Ezgi Kayhan
- Department of Developmental Psychology, University of Potsdam, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sabine Hunnius
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, NL, USA
| | - Robert Oostenveld
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, NL, USA; NatMEG, Karolinska Institutet, Stockholm, SE, USA
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19
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Zhang H, Wang C, Yang T, Phua KS, Ng VSH, Law ECN. Infant EEG Band Power Analysis at 6 Months and 18 Months. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021; 2021:6353-6356. [PMID: 34892566 DOI: 10.1109/embc46164.2021.9629872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Neural development of infants has drawn increasing research interests from the community. In this paper, we investigated the frequency band power of 112 infants who participated in an auditory oddball experiment, and the visual expectation (VE) score of 177 infants who went through a visual expectation paradigm test. Analysis found that the frequency band power decreases in the delta and theta bands, and increases in the alpha and beta bands when the infants grow up from 6 months old to 18 months old. We also proposed a sustainability index to measure the capability of a subject to maintain their band power in the auditory oddball experiment when infants grow up from 6 months old to 18 months old. Analysis shows that the sustainability index increased significantly in the alpha and beta band, decreased in the delta and theta bands. Correlation between the VE score and frequency band power was investigated on 47 infants who participated in both auditory oddball experiment and visual expectation paradigm test. Analysis shows that the reaction speed to stimulus have statistical a significant correlation with the changes of band power and sustainability index in posterior and temporal section, and in the higher frequency bands.
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20
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Perone S, Anderson AJ, Zelazo PD. The influence of parental guidance on video game performance, exploration, and cortical activity in 5-year-old children. COGNITIVE DEVELOPMENT 2021. [DOI: 10.1016/j.cogdev.2021.101126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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21
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Behavioural Measures of Infant Activity but Not Attention Associate with Later Preschool ADHD Traits. Brain Sci 2021; 11:brainsci11050524. [PMID: 33919004 PMCID: PMC8143002 DOI: 10.3390/brainsci11050524] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 11/16/2022] Open
Abstract
Mapping infant neurocognitive differences that precede later ADHD-related behaviours is critical for designing early interventions. In this study, we investigated (1) group differences in a battery of measures assessing aspects of attention and activity level in infants with and without a family history of ADHD or related conditions (ASD), and (2) longitudinal associations between the infant measures and preschool ADHD traits at 3 years. Participants (N = 151) were infants with or without an elevated likelihood for ADHD (due to a family history of ADHD and/or ASD). A multi-method assessment protocol was used to assess infant attention and activity level at 10 months of age that included behavioural, cognitive, physiological and neural measures. Preschool ADHD traits were measured at 3 years of age using the Child Behaviour Checklist (CBCL) and the Child Behaviour Questionnaire (CBQ). Across a broad range of measures, we found no significant group differences in attention or activity level at 10 months between infants with and without a family history of ADHD or ASD. However, parent and observer ratings of infant activity level at 10 months were positively associated with later preschool ADHD traits at 3 years. Observable behavioural differences in activity level (but not attention) may be apparent from infancy in children who later develop elevated preschool ADHD traits.
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22
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Young infants process prediction errors at the theta rhythm. Neuroimage 2021; 236:118074. [PMID: 33878378 DOI: 10.1016/j.neuroimage.2021.118074] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 04/07/2021] [Accepted: 04/11/2021] [Indexed: 10/21/2022] Open
Abstract
Examining how young infants respond to unexpected events is key to our understanding of their emerging concepts about the world around them. From a predictive processing perspective, it is intriguing to investigate how the infant brain responds to unexpected events (i.e., prediction errors), because they require infants to refine their predictions about the environment. Here, to better understand prediction error processes in the infant brain, we presented 9-month-olds (N = 36) a variety of physical and social events with unexpected versus expected outcomes, while recording their electroencephalogram (EEG). We found a pronounced response in the ongoing 4-5 Hz theta rhythm for the processing of unexpected (in contrast to expected) events, for a prolonged time window (2 s) and across all scalp-recorded electrodes. The condition difference in the theta rhythm was not related to the condition difference in infants' event-related activity to unexpected (versus expected) events in the negative central (Nc) component (0.4-0.6 s), a component, which is commonly analyzed in infant violation of expectation studies using EEG. These findings constitute critical evidence that the theta rhythm is involved in the processing of prediction errors from very early in human brain development. We discuss how the theta rhythm may support infants' refinement of basic concepts about the physical and social environment.
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