Maximizing the potential of EEG as a developmental neuroscience tool

Buzzell, George A.; Morales, Santiago; Valadez, Emilio A.; Hunnius, Sabine

doi:10.1016/j.dcn.2023.101201

Cited by 13 publications

(10 citation statements)

References 54 publications

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“…Another limitation inherent in developmental iEEG studies is the reliance on cross-sectional analyses when assessing age differences. Future investigations may strive to combine developmental iEEG data with other non-invasive imaging methods from larger samples of individuals that are followed longitudinally ( Buzzell et al, 2023 , Ofen et al, 2019 ). Last, future research may strive to integrate iEEG data collected from a wide range of tasks, using diverse stimuli and advanced analyses ( Sommer et al, 2022 ), as well as utilize both rest and task-based investigations of neurophysiological signatures in the developing brain.…”

Section: Discussionmentioning

confidence: 99%

Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies

Yin,

Johnson,

Ofen

2023

Developmental Cognitive Neuroscience

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Section: Discussionmentioning

confidence: 99%

Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies

Yin,

Johnson,

Ofen

2023

Developmental Cognitive Neuroscience

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“…Різні форми ШІ відрізняються залежно від рівня інтелекту. ШІ зазвичай поділяють на три типи: загальний штучний інтелект (AGI), штучний вузький інтелект (ANI) і штучний суперінтелект (ASI) (Buzzell, 2023). ANI, який зазвичай називають слабким або вузьким ШІ, є найпоширенішим типом ШІ.…”

Section: Referencesunclassified

Contemporary Technologies and Society: Innovations, Artificial Intelligence, and Challenges

2023

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The collective monograph elucidates the trends in the formation and development of the digital society in the 21st century, and the role of information and communication technologies therein. Presently, information and innovative technologies are shaping more efficient management mechanisms, expanding access to healthcare, education, science, culture, and banking, enhancing the quality of public services, and broadening communication and information access capabilities.The research findings presented in the monograph underscore the significance and necessity of digital technologies for the welfare of the population and economic development. Today, information and innovative technologies are integrated into business processes across virtually all spheres of activity, as they enhance decision-making efficiency. Information technologies enable any activity to be conducted online, facilitating solutions to social issues by easing access to education through remote learning, local government services through e-governance, electronic registration systems, medical services via digital health systems, and the provision of electronic financial and banking services.The first chapter of the monograph analyses the current state and prospects of using information and innovative technologies in education, presents research results on the application of artificial intelligence, machine learning, nanotechnologies, and virtual reality in higher education training. It also highlights the nuances of developing digital competencies among schoolchildren and students.The second chapter is dedicated to the application of information and innovative technologies in economics and management, examining their impact on the economy of the information society. The digital economy is grounded on information and communication technologies that facilitate ecommerce through the operation of electronic digital devices, tools, and automated systems.The third chapter contemplates the theoretical concepts of employing information and innovative technologies in society at large, considering their influence in fields such as ecology, social issues, psychology, and professional adaptation to digital existence.The fourth chapter is devoted to the utilization of artificial intelligence, studying its societal impact and evaluating potential opportunities and risks. Particular attention is given to the status and prospects of artificial intelligence in education, manufacturing, medical fields, and the development of communicative competencies.The fifth chapter of the monograph focuses on contemporary technologies in physical education, sports, and physical rehabilitation, which are paramount in the context of ensuring effective approaches to physical development, rehabilitation, and fostering a healthy lifestyle approach.

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“…These advantages have facilitated its integration into broad- ranging experimental paradigms and clinical practice, where it is frequently used to interrogate both spontaneous and task-related neural activity. The wide availability and affordability of EEG also makes it highly conducive to large-scale cross-sectional and longitudinal investigations into typical neurodevelopment, as well as for studying aberrant neural activity patterns across a range of neurodevelopmental disorders (Buzzell et al, 2023; Cellier et al, 2021; Gabard-Durnam et al, 2019; Marshall et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

RELAX-Jr: An Automated Pre-Processing Pipeline for Developmental EEG Recordings

Hill,

Enticott,

Fitzgerald

et al. 2024

Preprint

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Automated EEG pre-processing pipelines provide several key advantages over traditional manual data cleaning approaches; primarily, they are less time-intensive and remove potential experimenter error/bias. Automated pipelines also require fewer technical expertise as they remove the need for manual artifact identification. We recently developed the fully automated Reduction of Electroencephalographic Artifacts (RELAX) pipeline and demonstrated its performance in cleaning EEG data recorded from adult populations. Here, we introduce the RELAX-Jr pipeline, which was adapted from RELAX to be designed specifically for pre- processing of data collected from children. RELAX-Jr implements multi-channel Wiener filtering (MWF) and/or wavelet-enhanced independent component analysis (wICA) combined with the adjusted-ADJUST automated independent component classification algorithm to identify and reduce all artifacts using algorithms adapted to optimally identify artifacts in EEG recordings taken from children. Using a dataset of resting-state EEG recordings (N = 136) from children spanning early-to-middle childhood (4-12 years), we assessed the cleaning performance of RELAX-Jr using a range of metrics including signal-to-error ratio, artifact-to-residue ratio, ability to reduce blink and muscle contamination, and differences in estimates of alpha power between eyes-open and eyes-closed recordings. We also compared the performance of RELAX- Jr against four publicly available automated cleaning pipelines. We demonstrate that RELAX-Jr provides strong cleaning performance across a range of metrics, supporting its use as an effective and fully automated cleaning pipeline for neurodevelopmental EEG data.

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Maximizing the potential of EEG as a developmental neuroscience tool

Cited by 13 publications

References 54 publications

Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies

Neurophysiological mechanisms of cognition in the developing brain: Insights from intracranial EEG studies

Contemporary Technologies and Society: Innovations, Artificial Intelligence, and Challenges

RELAX-Jr: An Automated Pre-Processing Pipeline for Developmental EEG Recordings

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