2019
DOI: 10.1016/j.dcn.2019.100635
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Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges

Abstract: Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific technology – to study real-time brain activity – that is relatively inexpensive, non-invasive and portable. Mobile EEG leverages state-of-the-art hardware alongside established advantages of traditional EEG and recent advances in signal processing. In this review, we propose that mobile EEG could open unprecedented possibilities for studying neurodevelopmental disorders. We first present a brief overview of recent developme… Show more

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Cited by 157 publications
(126 citation statements)
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References 150 publications
(223 reference statements)
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“…These devices run on wet or dry electrodes and typically include impedance differential inputs, an electrode ground, as well as other principal features required for EEG recordings. For a comprehensive review, readers can refer to an existing coverage [114]. Concurrently, the apps' software either stores the raw data with a download option (EEG Analyzer, Muse Monitor, BrainLog) or supports 'online data processing'-tasks, such as acquisition, recording, or breaking down the EEG signal by different scalp potentials in either frequency bands (eegID) or in "cognitive and emotional metrics" as it is advertised by other applications, for instance, MyEmotiv.…”
Section: Eeg Systems and Smartphonesmentioning
confidence: 99%
“…These devices run on wet or dry electrodes and typically include impedance differential inputs, an electrode ground, as well as other principal features required for EEG recordings. For a comprehensive review, readers can refer to an existing coverage [114]. Concurrently, the apps' software either stores the raw data with a download option (EEG Analyzer, Muse Monitor, BrainLog) or supports 'online data processing'-tasks, such as acquisition, recording, or breaking down the EEG signal by different scalp potentials in either frequency bands (eegID) or in "cognitive and emotional metrics" as it is advertised by other applications, for instance, MyEmotiv.…”
Section: Eeg Systems and Smartphonesmentioning
confidence: 99%
“…Despite the growing number of EEG research on brain functioning of athletes, the limited portability and long preparation time of conventional EEG systems have been the frequently cited limitations that made EEG assessment unpractical beyond laboratory settings. Recent progress in EEG technologies has offered potential solutions by improving the flexibility in mobile EEG applications (i.e., portable, wireless, and disposable headset) (Makeig et al, 2009; Mehta and Parasuraman, 2013; Oliveira et al, 2016; Bateson et al, 2017; Lau-Zhu et al, 2019). While the ecologically friendly EEG systems with wet electrodes allow the collection of good quality signals during natural motion, they present a number of drawbacks that may impede the real-world application in a wide range of environments (Zander et al, 2011).…”
Section: Eeg As a Window To The Brain Dynamics Of Expert Behavior Inmentioning
confidence: 99%
“…However, despite early interest to explore brain activity in more realistic contexts, for example to improve workplace safety [6] or to assess sleepiness during day and night work [7], EEG has only slowly gained traction in real-world settings [8,9], mainly due to the bulkiness and cost of the equipment. Nevertheless, in the past ten years new EEG devices [10] and processing algorithms [11] have appeared that overcome many of these barriers (for a recent review on this topic, see [12]). Their improved design offers simple arrangements that do not limit participants’ behavior and are easy to set up by researchers and general public, as they require little to no training [13,14,15].…”
Section: Introductionmentioning
confidence: 99%
“…However, quantitative studies of its actual validity for sensitively measuring EEG signals are limited to a manufacturer-provided white paper [29], the assessments carried out by Johnstone and colleagues of the previous version of this device [30,31], and another two works that compared the MindWave with wireless wearable EEG devices [32,33]. Differences in experimental methodology, such as the analysis of raw vs MindWave’s processed data, size of the study population (5 vs 20), as well as in recording techniques (simultaneously vs consecutively testing), make a direct comparison of these findings difficult [10]. Thus, results on the functional validity of the MindWave are not conclusive and the question of whether MindWave might be reliable enough to track overall EEG signal remains open (e.g., [32], but see [33]).…”
Section: Introductionmentioning
confidence: 99%