Wireless EEG: A survey of systems and studies

NeuroImage, Journal Year: 2022, Volume and Issue: 269, P. 119774 - 119774

Published: Dec. 22, 2022

The popular brain monitoring method of electroencephalography (EEG) has seen a surge in commercial attention recent years, focusing mostly on hardware miniaturization. This led to varied landscape portable EEG devices with wireless capability, allowing them be used by relatively unconstrained users real-life conditions outside the laboratory. wide availability and relative affordability these provide low entry threshold for newcomers field research. large device variety at times opaque communication from their manufacturers, however, can make it difficult obtain an overview this landscape. Similarly, given breadth existing (wireless) knowledge research, challenging get started novel ideas. Therefore, paper first provides list 48 along number important-sometimes difficult-to-obtain-features characteristics enable side-by-side comparison, brief introduction each aspects how they may influence one's decision. Secondly, we have surveyed previous literature focused 110 high-impact journal publications making use EEG, which categorized application analyzed used, channels, sample size, participant mobility. Together, basis informed decision respect experimental precedents when considering new, At same time, background material commentary about pitfalls caveats regarding increasingly accessible line

Language: Английский

---

Enhancing precision in human neuroscience

eLife, Journal Year: 2023, Volume and Issue: 12

Published: Aug. 9, 2023

Human neuroscience has always been pushing the boundary of what is measurable. During last decade, concerns about statistical power and replicability – in science general, but also specifically human have fueled an extensive debate. One important insight from this discourse need for larger samples, which naturally increases power. An alternative to increase precision measurements, focus review. This option often overlooked, even though benefits increasing as much sample size. Nonetheless, at heart good scientific practice neuroscience, with researchers relying on lab traditions or rules thumb ensure sufficient their studies. In review, we encourage a more systematic approach precision. We start by introducing measurement its importance well-powered studies neuroscience. Then, determinants range neuroscientific methods (MRI, M/EEG, EDA, Eye-Tracking, Endocrinology) are elaborated. end discussing how evaluation application respective insights can lead reproducibility

Language: Английский

---

Decoding Covert Speech From EEG-A Comprehensive Review

Frontiers in Neuroscience, Journal Year: 2021, Volume and Issue: 15

Published: April 29, 2021

Over the past decade, many researchers have come up with different implementations of systems for decoding covert or imagined speech from EEG (electroencephalogram). They differ each other in several aspects, data acquisition to machine learning algorithms, due which, a comparison between is often difficult. This review article puts together all relevant works published last decade on into single framework. Every important aspect designing such system, as selection words be imagined, number electrodes recorded, temporal and spatial filtering, feature extraction classifier are reviewed. helps researcher compare relative merits demerits approaches choose one that most optimal. Speech being natural form communication which human beings acquire even without formal education, an ideal choice prompt evoking brain activity patterns BCI (brain-computer interface) although research developing real-time (online) imagery based still its infancy. Covert can help people disabilities improve their quality life. It also used environments do not support vocal communication. paper discusses some future directions, will aid deployment practical applications, rather than only laboratory experiments.

Language: Английский

---

Interference suppression techniques for OPM-based MEG: Opportunities and challenges

NeuroImage, Journal Year: 2021, Volume and Issue: 247, P. 118834 - 118834

Published: Dec. 18, 2021

One of the primary technical challenges facing magnetoencephalography (MEG) is that magnitude neuromagnetic fields several orders lower than interfering signals. Recently, a new type sensor has been developed - optically pumped magnetometer (OPM). These sensors can be placed directly on scalp and move with head during participant movement, making them wearable. This opens up range exciting experimental clinical opportunities for OPM-based MEG experiments, including paediatric studies, incorporation naturalistic movements into neuroimaging paradigms. However, OPMs face some unique in terms interference suppression, especially situations involving mobile participants, when are integrated electrical equipment required paradigms, such as motion capture systems. Here we briefly review various hardware solutions OPM suppression. We then outline signal processing strategies aimed at increasing from sources. include regression-based strategies, temporal filtering spatial approaches. The focus practical application these algorithms to data. In similar vein, two worked-through experiments using data collected whole-head array. tutorial-style examples illustrate how steps suppressing external implemented, associated code so researchers try pipelines themselves. With popularity rising, there will an need deal hope this paper provides resource build upon.

Language: Английский

---

Zapline‐plus: A Zapline extension for automatic and adaptive removal of frequency‐specific noise artifacts in M/EEG

Human Brain Mapping, Journal Year: 2022, Volume and Issue: 43(9), P. 2743 - 2758

Published: March 12, 2022

Abstract Removing power line noise and other frequency‐specific artifacts from electrophysiological data without affecting neural signals remains a challenging task. Recently, an approach was introduced that combines spectral spatial filtering to effectively remove noise: Zapline. This algorithm, however, requires manual selection of the frequency number components during filtering. Moreover, it assumes topography are stable over time, which is often not warranted. To overcome these issues, we introduce Zapline‐plus, allows adaptive automatic removal M/electroencephalography (EEG) LFP data. achieve this, our extension first segments into periods (chunks) in spatially stable. Then, for each chunk, searches peaks spectrum, finally applies The exact around found target also determined separately every chunk allow fluctuations peak time. to‐be‐removed by Zapline automatically using outlier detection algorithm. Finally, spectrum after cleaning analyzed suboptimal cleaning, parameters adapted accordingly if necessary before re‐running process. software creates detailed plot monitoring cleaning. We highlight efficacy different features algorithm applying four openly available sets, two EEG sets containing both stationary mobile task conditions, magnetoencephalography strong noise.

Language: Английский

---

Neuroscience and architecture: Modulating behavior through sensorimotor responses to the built environment

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 138, P. 104715 - 104715

Published: May 30, 2022

As we move through the world, natural and built environments implicitly guide behavior by appealing to certain sensory motor dynamics. This process can be motivated automatic attention environmental features that resonate with specific sensorimotor responses. review aims at providing a psychobiological framework describing how lead automated responses defined neurophysiological mechanisms underlying attention. Through use of processes in subsets cortical structures, goal this is describe on neuronal level functional link between designed environment By distinguishing elaborate employs for adaptation. realized thalamo-cortical network integrating aspects behavior. We highlight transthalamic transmission from an Enactive predictive perspective recent studies effectively modulated systematically manipulating features. end suggesting promising combination neuroimaging computational analysis future studies.

Language: Английский

---

A mobile EEG study on the psychophysiological effects of walking and crowding in indoor and outdoor urban environments

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: Nov. 2, 2022

Abstract Environmental psychologists have established multiple psychological benefits of interaction with natural, compared to urban, environments on emotion, cognition, and attention. Yet, given the increasing urbanisation worldwide, it is equally important understand how differences within different urban influence human experience. We developed a laboratory experiment examine psychophysiological effects physical (outdoor or indoor) social (crowded versus uncrowded) environment in healthy young adults, validate use mobile electroencephalography (EEG) electrodermal activity (EDA) measurements during active walking. Participants (N = 42) were randomly assigned into walking standing group, watched six 1-min walk-through videos green, indoor outdoor environments, depicting high low levels density. Self-reported emotional states show that green spaces perceived as more calm positive, reduce attentional demands. Further, space positively than environment. These findings are consistent earlier studies nature confirm effectiveness our paradigm stimuli. In addition, we hypothesised even short-term exposure crowded scenes would negative effects. found evoked higher self-reported arousal, valence, recruited cognitive resources. However, participants, they frontal alpha asymmetry, suggesting positive affective responses. Furthermore, using recent signal-processing methods, EEG data produced comparable signal-to-noise ratio between standing, despite skin-conductance also captured effectively responses results suggest visually presented stimuli can be measured EDA ambulatory settings, there complex walking, density spaces, direct indirect such environments.

Language: Английский

---

The BeMoBIL Pipeline for automated analyses of multimodal mobile brain and body imaging data

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Sept. 30, 2022

Abstract Advancements in hardware technology and analysis methods allow more mobility electroencephalography (EEG) experiments. Mobile Brain/Body Imaging (MoBI) studies may record various types of data such as motion or eye tracking addition to neural activity. Although there are options available analyze EEG a standardized way, they do not fully cover complex multimodal from mobile We thus propose the BeMoBIL Pipeline, an easy-to-use pipeline MATLAB that supports time-synchronized handling data. It is based on EEGLAB fieldtrip consists automated functions for preprocessing subsequent source separation. also provides processing extraction event markers different modalities, including eye-movement gait-related events using independent component analysis. The introduces new robust method region-of-interest-based group-level clustering components. Finally, Pipeline analytical visualizations at steps, keeping transparent allowing quality checks resulting outcomes. All parameters steps documented within structure can be replicated same scripts. This makes (mobile) body reliable prior experience individual researchers, facilitating use general MoBI particular. open-source project download https://github.com/BeMoBIL/bemobil-pipeline which allows community-driven adaptations future.

Language: Английский

---

A randomized controlled trial into the effects of probiotics on electroencephalography in preschoolers with autism

Autism, Journal Year: 2022, Volume and Issue: 27(1), P. 117 - 132

Published: April 1, 2022

This study investigates the effects of a probiotic on preschoolers' brain electrical activity with autism spectrum disorder. Autism is disorder an increasing prevalence characterized by enormous individual, family, and social cost. Although etiology unknown, interaction between genetic environmental factors implicated, converging in altered synaptogenesis and, therefore, connectivity. Besides deepening knowledge resting that characterizes this disorder, allows analyzing positive central 6-month therapy through randomized, double-blind placebo-controlled correlations electroencephalography biochemical clinical parameters. In subjects treated probiotics, we observed decrease power frontopolar regions beta gamma bands, increased coherence same bands together shift frontal asymmetry, which suggests modification toward typical activity. Electroencephalography measures were significantly correlated measures. These findings support importance further investigations probiotics' benefits to better elucidate mechanistic links probiotics supplementation changes

Language: Английский

---

Affective Brain–Computer Interfaces (aBCIs): A Tutorial

Proceedings of the IEEE, Journal Year: 2023, Volume and Issue: 111(10), P. 1314 - 1332

Published: May 31, 2023

A brain–computer interface (BCI) enables a user to communicate directly with computer using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates emotional state of brain, which could facilitate human cognition, communication, decision-making, and health. The last decade has witnessed rapid progress in aBCI research applications, but there does not exist comprehensive up-to-date tutorial on aBCIs. This fills gap. It introduces first basic concepts BCIs then, detail, individual components closed-loop system, including signal acquisition, processing, feature extraction, emotion recognition, brain stimulation. Next, it describes three representative applications aBCIs, i.e., cognitive workload fatigue estimation, depression diagnosis treatment. Several challenges opportunities labeling, diversity size datasets, algorithm comparison, negative transfer privacy protection security are also explained.

Language: Английский

---