Showing 1 - 11 results of 11 for search '"Electroencephalography', query time: 0.08s Refine Results
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    Brain imaging technologies to study infant behavior and development by Esposito, Gianluca, Rigo, Paola, Bornstein, Marc H.

    Published 2020
    “…Some methodologies measure electrical activity in different brain regions (Electroencephalography – EEG) or magnetic fields produced by electrical currents arising in the brain (Magnetoenchephalography – MEG). …”
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    Journal Article
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    Home-based EEG hyperscanning for infant-caregiver social interactions by Ramanarayanan, Vaidehi, Oon, Qian Chern, Devarajan, Amritha Varshini, Georgieva, Stanimira, Reindl, Vanessa

    Published 2024
    “…Here, a comprehensive protocol for capturing synchronized electroencephalography (EEG), electrocardiography (ECG), and behavioral recordings from infant-caregiver dyads during various interactive tasks at home is proposed. …”
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    Journal Article
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    Towards a personalized multi-domain digital neurophenotyping model for the detection and treatment of mood trajectories by Sela, Yaron, Santamaria, Lorena, Amichai-Hamburge, Yair, Leong, Victoria

    Published 2021
    “…In particular, electroencephalography (EEG) is a well-validated and highly sensitive neuroimaging method that yields robust markers of mood and affective processing, and has been widely used in mental health research for decades. …”
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    Journal Article
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    Speaker gaze increases information coupling between infant and adult brains by Leong, Victoria, Byrne, Elizabeth, Clackson, Kaili, Georgieva, Stanimira, Lam, Sarah, Wass, Sam

    Published 2019
    “…Here, we used dual-electroencephalography to assess whether direct gaze increases neural coupling between adults and infants during screen-based and live interactions. …”
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    Towards ARTEM-IS: design guidelines for evidence-based EEG methodology reporting tools by Styles, Suzy J., Ković, Vanja, Ke, Han, Šoškić, Anđela

    Published 2022
    “…As a first step in tool development, we present the ARTEM-IS Statement describing what action will be needed to create an Agreed Reporting Template for Electroencephalography Methodology - International Standard (ARTEM-IS), along with ARTEM-IS Design Guidelines for developing tools that use an evidence-based approach to error reduction. …”
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    Journal Article
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    A decade of infant neuroimaging research : what have we learned and where are we going? by Azhari, Atiqah, Truzzi, Anna, Neoh, Michelle Jin-Yee, Balagtas, Jan Paolo M., Tan, Hannah Hui Ann, Goh, Pamela Pei Lin, Ang, Anais Xin Hui Anais, Setoh, Peipei, Rigo, Paola, Bornstein, Marc H., Esposito, Gianluca

    Published 2020
    “…This review systematically screened empirical studies that used electroencephalography (EEG), magnetoencephalography (MEG), functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) on infants (max. age of 24 months). …”
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    Emotional valence modulates the topology of the parent-infant inter-brain network by Santamaria, Lorena, Noreika, Valdas, Georgieva, Stanimira, Clackson, Kaili, Wass, Sam, Leong, Victoria

    Published 2021
    “…Fifteen mothers were asked to model positive and negative emotions toward pairs of objects during social interaction with their infants (mean age 10.3 months) whilst the neural activity of both mothers and infants was concurrently measured using dual electroencephalography (EEG). Intra-brain and inter-brain network connectivity in the 6-9 Hz range (i.e. infant Alpha band) during maternal expression of positive and negative emotions was computed using directed (partial directed coherence, PDC) and non-directed (phase-locking value, PLV) connectivity metrics. …”
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    Learning at your brain's rhythm: individualized entrainment boosts learning for perceptual decisions by Michael, Elizabeth, Covarrubias, Lorena Santamaria, Leong, Victoria, Kourtzi, Zoe

    Published 2023
    “…We use a visual flicker paradigm to entrain individuals at their own brain rhythm (i.e. peak alpha frequency) as measured by resting-state electroencephalography (EEG). We demonstrate that this individual frequency-matched brain entrainment results in faster learning in a visual identification task (i.e. detecting targets embedded in background clutter) compared to entrainment that does not match an individual's alpha frequency. …”
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