Quantitative Quality Assessment for EEG Data: A Mini Review DOI
Chun-Shu Wei

2021 IEEE Symposium Series on Computational Intelligence (SSCI), Journal Year: 2023, Volume and Issue: unknown, P. 64 - 68

Published: Dec. 5, 2023

Electroencephalography (EEG) is an essential neuromonitoring modality, deeply integrated across scientific disciplines such as psychology, cognitive science, computational neuroscience, neurology, and psychiatry. Its relevance has surged with the rise of brain-computer interfaces. However, potential non-invasive EEG hindered by compromised signal quality compared to invasive methods. The distinction between modest source amplitudes pronounced magnitudes non-EEG physiological signals environmental interferences complicates analysis. coexistence subtle neural prominent artifacts, both intrinsic acquired, characterizes processing. Various artifact management techniques have been proposed, yet pursuit assessment remains underexplored. This mini-review addresses this gap emphasizing vital role in recordings. article highlights significance rigorous evaluation, reliable data. It also encapsulates evolving quantitative methodologies that bolster fidelity assessment. By delving into these aspects, presents a compact overview ongoing advancements research field analysis applications.

Language: Английский

A tutorial on fitting joint models of M/EEG and behavior to understand cognition DOI Creative Commons
Michael D. Nunez, Kianté Fernandez, Ramesh Srinivasan

et al.

Behavior Research Methods, Journal Year: 2024, Volume and Issue: 56(6), P. 6020 - 6050

Published: Feb. 26, 2024

Abstract We present motivation and practical steps necessary to find parameter estimates of joint models behavior neural electrophysiological data. This tutorial is written for researchers wishing build human scalp intracranial electroencephalographic (EEG) or magnetoencephalographic (MEG) data, more specifically those who seek understand cognition. Although these techniques could easily be applied animal models, the focus this on participants. Joint modeling M/EEG requires some knowledge existing computational cognitive theories, artifact correction, analysis techniques, modeling, programming statistical implementation. paper seeks give an introduction as they apply estimating parameters from neurocognitive behavior, evaluate model results compare models. Due our research subject matter, examples in will testing specific hypotheses decision-making theory. However, most discussion applies across many procedures applications. provide Python (and linked R) code appendix. Readers are encouraged try exercises at end document.

Language: Английский

Citations

8

Mini review: Challenges in EEG emotion recognition DOI Creative Commons
Zhihui Zhang, Josep Maria Fort Mir, Lluís Giménez Mateu

et al.

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 4, 2024

Electroencephalography (EEG) stands as a pioneering tool at the intersection of neuroscience and technology, offering unprecedented insights into human emotions. Through this comprehensive review, we explore challenges opportunities associated with EEGbased emotion recognition. While recent literature suggests promising high accuracy rates, these claims necessitate critical scrutiny for their authenticity applicability. The article highlights significant in generalizing findings from multitude EEG devices data sources, well difficulties collection. Furthermore, disparity between controlled laboratory settings genuine emotional experiences presents paradox within paradigm research. We advocate balanced approach, emphasizing importance evaluation, methodological standardization, acknowledging dynamism emotions more holistic understanding landscape.

Language: Английский

Citations

6

Assessing Trial-by-Trial Electrophysiological and Behavioral Markers of Attentional Control and Sensory Precision in Psychotic and Mood Disorders DOI Creative Commons
Megan A. Boudewyn, Molly Erickson, Kurt Winsler

et al.

Schizophrenia Bulletin, Journal Year: 2024, Volume and Issue: unknown

Published: April 14, 2024

Abstract Background and Hypothesis The current study investigated the extent to which changes in attentional control contribute performance on a visual perceptual discrimination task, trial-by-trial basis transdiagnostic clinical sample. Study Design Participants with schizophrenia (SZ; N = 58), bipolar disorder (N 42), major depression 51), psychiatrically healthy controls 92) completed perception task stimuli appeared briefly. design allowed us estimate lapse rate precision of representations stimuli. Electroencephalograms (EEG) were recorded examine pre-stimulus activity alpha band (8–13 Hz), overall relation behavior task. Results We found that attention was elevated SZ group compared all other groups. also observed differences activity, participants showing highest levels when averaging across trials. However, analyses showed within-participant fluctuations significantly predicted likelihood making an error, Interestingly, our analysis demonstrated aperiodic contributions EEG signal (which affect power estimates frequency bands) serve as significant predictor well. Conclusions These results confirm has been SZ, validate markers their use basis, suggest are important target for further research this area, addition alpha-band activity.

Language: Английский

Citations

5

The dynamics of statistical learning in visual search and its interaction with salience processing: An EEG study DOI Creative Commons
Carola Dolci, Einat Rashal, Elisa Santandrea

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 286, P. 120514 - 120514

Published: Jan. 9, 2024

Visual attention can be guided by statistical regularities in the environment, that people implicitly learn from past experiences (statistical learning, SL). Moreover, a perceptually salient element automatically capture attention, gaining processing priority through bottom-up attentional control mechanism. The aim of our study was to investigate dynamics SL and if it shapes target selection additively with salience processing, or whether these mechanisms interact, e.g. one gates other. In visual search task, we therefore manipulated frequency (high vs. low) across locations while, some trials, terms colour. Additionally, halfway experiment, high-frequency location changed opposite hemifield. EEG activity simultaneously recorded, specific interest two markers related post-selection respectively: N2pc SPCN. Our results revealed both saliency significantly enhanced behavioural performance, but also interacted each other, an attenuated effect at location, smaller for targets. Concerning dynamics, benefit more evident during early stage as indexed larger early-SPCN, whereas modulated underlying neural particularly later on, late-SPCN. Furthermore, showed rapidly acquired adjusted when spatial imbalance changed. Overall, findings suggest is flexible changes and, combined jointly contributes establishing priority.

Language: Английский

Citations

4

Common sources of linguistic conflict engage domain-general conflict control mechanisms during language comprehension DOI Creative Commons
Megan A. Boudewyn,

Yaqi Xu,

Azriel Rosenfeld

et al.

Cognitive Affective & Behavioral Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Abstract The current study tested the hypothesis that lexical ambiguity, a common source of representational conflict during language comprehension, engages domain-general cognitive control processes are reflected by theta-band oscillations in scalp-recorded electroencephalograms (EEG). In Experiment 1, we examined neural signature elicited lexically ambiguous compared to unambiguous words sentence comprehension. results showed midfrontal theta activity was increased response linguistic (lexical ambiguity). 2, postconflict adaptation effects comparing temporarily sentences followed previous instances (other sentences) those low-conflict (unambiguous) sentence. A effect associated with again found such for high-conflict (temporarily ambiguous) sentences. both experiments, facilitated semantic processing also observed came after point conflict, which may reflect downstream “benefit” engagement. Overall, our provide novel insights into neurocognitive mechanisms underlying comprehension and suggest same computations involved nonlinguistic conflict.

Language: Английский

Citations

0

Influence of Stakeholder Identities on Unfairness Perception of Local Residents toward Public Facilities: Neurocognition Evidence from the Case of Waste-to-Energy Projects in China DOI
Xin Wan, Xinyi Luo, Pengcheng Su

et al.

Journal of Management in Engineering, Journal Year: 2024, Volume and Issue: 40(5)

Published: June 28, 2024

Language: Английский

Citations

2

A tutorial on fitting joint models of M/EEG and behavior to understand cognition DOI Open Access
Michael D. Nunez, Kianté Fernandez, Ramesh Srinivasan

et al.

Published: March 4, 2022

We present motivation and practical steps necessary to find parameter estimates of joint models behavior neural electrophysiological data. This tutorial is written for researchers wishing build human scalp intracranial electroencephalographic (EEG) or magnetoencephalographic (MEG) data, more specifically those who seek understand cognition. Although these techniques could easily be applied animal models, the focus this on participants. Joint modeling M/EEG requires some knowledge existing computational cognitive theories, artifact correction, analysis techniques, modeling, programming statistical implementation. paper seeks give an introduction as they apply estimating parameters from neurocognitive behavior, evaluate model results compare models. Due our research subject matter, examples in will testing specific hypotheses decision-making theory. However most discussion applies across many procedures applications. provide Python (and linked R) code appendix. Readers are encouraged try exercises at end document.

Language: Английский

Citations

5

Editorial: Variability and reproducibility of brain imaging DOI Creative Commons
Mengyun Wang, Helge J. Zöllner, Meryem A. Yücel

et al.

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15

Published: March 13, 2024

Citation: Wang M-Y, Zöllner HJ, Yücel MA and Specht K (2024) Editorial: Variability reproducibility of brain imaging. Front. Psychol. 15:1386948. doi: 10.3389/fpsyg.2024.1386948

Language: Английский

Citations

0

A standardized framework to test event-based experiments DOI Open Access
Alex Lepauvre, Rony Hirschhorn, Katarina Bendtz

et al.

Published: April 30, 2024

The replication crisis in experimental psychology and neuroscience has received much attention recently. This led to wide acceptance of measures improve scientific practices, such as preregistration registered reports. Less efforts have been devoted performing reporting the results systematic tests functioning setup itself. Yet, inaccuracies performance may affect a study, lead failures, importantly, impede ability integrate across studies. Prompted by challenges we experienced when deploying studies six laboratories collecting EEG/MEG, fMRI, intracranial EEG (iEEG), here describe framework for both testing setup. In addition, 100 researchers were surveyed provide snapshot current common practices community standards concerning published experiments’ setups. Most reported their Almost none, however, performed test or results. Tests diverse, targeting different aspects Through simulations, clearly demonstrate how even slight can impact final We end with standardized, open-source, step-by-step protocol (visual) event-related experiments, shared via protocols.io. aims benchmark future replications insights into research quality help reproducibility results, accelerate multi-center studies, increase robustness, enable integration

Language: Английский

Citations

0

Linking architecture and emotions: sensory dynamics and methodological innovations DOI Creative Commons
Zhihui Zhang

Published: May 7, 2024

(English) This study delves deeply into the complex relationship between field of architecture and human emotions, aiming to fill a significant gap in existing research. It extensively explores profound impact architectural design elements, such as lighting, colour schemes, integration natural landscapes, on emotional responses. research goes beyond traditional focuses aesthetics sustainability, striving innovate methods for assessing spaces. In this study, we adopted technological pathway from laboratory virtual reality, finally AI, combining theoretical analysis with practical experiments case studies. The main includes examining effects lighting spatial dimension variations people's well application facial emotion recognition technology reality environments, exploring AI's perceptual capabilities tool design. These studies aim narrow application, providing new perspectives empirical data concludes reflection methodologies used their broader implications practice. offers specific strategies architects designers, aimed at creating spaces that resonate emotionally add substantial value experiences. By prioritizing factors process, seeks enhance overall quality life promote well-being thoughtfully designed (Català) Aquest estudi aprofundeix en la complexa relació entre el camp de l'arquitectura i les emocions humanes, amb l'objectiu cobrir un buit significatiu investigació existent. Explora àmpliament l'impacte profund d'elements disseny arquitectònic, com ara il·luminació, els esquemes colors integració paisatges naturals, respostes emocionals. Aquesta recerca va més enllà dels enfocaments tradicionals estètica sostenibilitat, esforçant-se per innovar mètodes avaluar emocional espais arquitectònics. En aquest estudi, s'adopta una ruta tecnològica que des del laboratori fins realitat i, finalment, intel·ligència artificial, combinant anàlisi teòric pràctics estudis cas. La principal inclou l'examen efectes variacions il·luminació dimensions espacials persones, així l'aplicació tecnologia reconeixement d'emocions entorns arquitectònics virtual, explorant capacitats perceptives IA eina arquitectònic. Aquests busquen reduir bretxa teòrica pràctica, proporcionant noves dades empíriques al L'estudi conclou reflexió sobre metodologies utilitzades seves implicacions àmplies pràctica Ofereix estratègies específiques arquitectes dissenyadors, destinades crear ressonin emocionalment afegeixin valor substancial experiències humanes. prioritzar emocionals procés disseny, aquesta busca millorar qualitat general vida promoure benestar dissenyats cura. (Español) Este estudio profundiza compleja relación campo arquitectura y las emociones humanas, con objetivo llenar vacío significativo investigación existente. extensamente profundo impacto elementos diseño arquitectónico, como iluminación, los esquemas colores integración paisajes naturales, respuestas emocionales. Esta más allá enfoques tradicionales estética sostenibilidad, esforzándose por métodos para evaluar espacios arquitectónicos. este estudio, se adopta tecnológica desde laboratorio hasta realidad y, finalmente, inteligencia combinando análisis teórico experimentos prácticos estudios caso. incluye examen efectos variaciones iluminación dimensiones espaciales personas, así aplicación tecnología reconocimiento entornos arquitectónicos explorando capacidades perceptuales herramienta arquitectónico. Estos buscan reducir brecha teórica práctica, proporcionando nuevas perspectivas datos empíricos El concluye reflexión metodologías utilizadas sus implicaciones amplias práctica Ofrece estrategias específicas arquitectos diseñadores, destinadas resuenen emocionalmente añadan sustancial experiencias humanas. Al priorizar factores emocionales proceso diseño, esta mejorar calidad promover bienestar diseñados cuidadosamente.

Citations

0