Automatic Estimation of the Interference Subspace Dimension Threshold in the Subspace Projection Algorithms of Magnetoencephalography Based on Evoked State Data DOI Creative Commons
R. P. Zhao, Ruonan Wang, Yang Gao

et al.

Bioengineering, Journal Year: 2024, Volume and Issue: 11(5), P. 428 - 428

Published: April 26, 2024

A class of algorithms based on subspace projection is widely used in the denoising magnetoencephalography (MEG) signals. Setting dimension interference (external) matrix these key to balancing effect and degree signal distortion. However, most current methods for estimating threshold rely experience, such as observing waveforms spectrum, which may render results too subjective lacking quantitative accuracy. Therefore, this study proposes a method automatically estimate suitable threshold. Time-frequency transformations are performed evoked state data obtain neural interest noise specific time-frequency band, then construct objective function describing suppression The optimal value selected range obtained using weighted-sum method. Our was tested two classical simulation sensory stimulation experiments. thresholds estimated by proposed enabled achieve best waveform recovery source location error. enables balance between removal preservation subsequent MEG analyses.

Language: Английский

State-of-the-Art on Brain-Computer Interface Technology DOI Creative Commons
Jānis Pekša, Dmytro Mamchur

Sensors, Journal Year: 2023, Volume and Issue: 23(13), P. 6001 - 6001

Published: June 28, 2023

This paper provides a comprehensive overview of the state-of-the-art in brain–computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms. The then examines various components BCI system, such as hardware, software, signal processing algorithms. Finally, it looks at current trends research related use for medical, educational, other purposes, well potential future applications this technology. concludes highlighting some key challenges that still need be addressed before widespread adoption can occur. By presenting up-to-date assessment technology, will provide valuable insight into where field is heading terms progress innovation.

Language: Английский

Citations

58
Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations DOI Creative Commons
Constantinos Halkiopoulos, Evgenia Gkintoni,

Anthimos Aroutzidis

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(4), P. 456 - 456

Published: Feb. 13, 2025

Background/Objectives: The following systematic review integrates neuroimaging techniques with deep learning approaches concerning emotion detection. It, therefore, aims to merge cognitive neuroscience insights advanced algorithmic methods in pursuit of an enhanced understanding and applications recognition. Methods: study was conducted PRISMA guidelines, involving a rigorous selection process that resulted the inclusion 64 empirical studies explore modalities such as fMRI, EEG, MEG, discussing their capabilities limitations It further evaluates architectures, including neural networks, CNNs, GANs, terms roles classifying emotions from various domains: human-computer interaction, mental health, marketing, more. Ethical practical challenges implementing these systems are also analyzed. Results: identifies fMRI powerful but resource-intensive modality, while EEG MEG more accessible high temporal resolution limited by spatial accuracy. Deep models, especially CNNs have performed well emotions, though they do not always require large diverse datasets. Combining data behavioral features improves classification performance. However, ethical challenges, privacy bias, remain significant concerns. Conclusions: has emphasized efficiencies detection, technical were highlighted. Future research should integrate advances, establish innovative enhance system reliability applicability.

Language: Английский

Citations

6
Spectral signatures of psilocybin, lysergic acid diethylamide (LSD) and ketamine in healthy volunteers and persons with major depressive disorder and treatment-resistant depression: A systematic review DOI
Gia Han Le, Sabrina Wong, Sebastian Badulescu

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 355, P. 342 - 354

Published: April 1, 2024

Language: Английский

Citations

10
Design and Analysis of a High-Sensitivity Atomic Magnetic Gradiometer with Adjustable Baseline DOI
Yaohua Zhang, Junjian Tang, Xiaona Xu

et al.

IEEE Transactions on Instrumentation and Measurement, Journal Year: 2025, Volume and Issue: 74, P. 1 - 9

Published: Jan. 1, 2025

Language: Английский

Citations

1
The Influence of Magnetic Fields, Including the Planetary Magnetic Field, on Complex Life Forms: How Do Biological Systems Function in This Field and in Electromagnetic Fields? DOI Creative Commons
David A. Hart

Biophysica, Journal Year: 2024, Volume and Issue: 4(1), P. 1 - 21

Published: Jan. 2, 2024

Life on Earth evolved to accommodate the biochemical and biophysical boundary conditions of planet millions years ago. The former includes nutrients, water, ability synthesize other needed chemicals. latter 1 g gravity planet, radiation, geomagnetic field (GMF) planet. How complex life forms have accommodated GMF is not known in detail, considering that Homo sapiens a neurological system, neuromuscular cardiovascular system developed electromagnetic fields as part their functioning. Therefore, all these could be impacted by magnetic fields. In addition, many proteins physiologic processes utilize iron ions, which exhibit properties. Thus, organisms, such humans, generate fields, contain significant quantities respond exogenous static Given current body literature, it remains somewhat unclear if use regulate function what can happen condition no longer exerts an effect. Proposed deep space flights destinations Mars will provide some insights, flight been anticipated evolution. results “experiments” new insights into role human This review discuss literature regarding involvement various normal disturbed humans while then further potential outcomes when present impact host systems, well limitations knowledge. has throughout evolution, but details its functioning remain elucidated, how adapted order develop retain elucidated. Why this understudied area received attention required elucidate critical information conundrum for both health professionals those embarking flight. However, proposed may environments test assess roles

Language: Английский

Citations

6
Using optically pumped magnetometers to replicate task-related responses in next generation magnetoencephalography DOI Creative Commons
Kristina Safar, Marlee M. Vandewouw, Julie Sato

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 18, 2024

Abstract Optically pumped magnetometers (OPMs) offer a new wearable means to measure magnetoencephalography (MEG) signals, with many advantages compared conventional systems. However, OPMs are an emerging technology, thus characterizing and replicating MEG recordings is essential. Using OPM-MEG SQUID-MEG, this study investigated evoked responses, oscillatory power, functional connectivity during emotion processing in 20 adults, establish replicability across the two technologies. Five participants dental fixtures were included assess validity of those irremovable metal. Replicable task-related responses observed both modalities. Similar patterns power faces Increased was found SQUID-versus occipital parietal anchored network. Notably, high quality data retained metallic fixtures, from whom no useable collected using MEG.

Language: Английский

Citations

6
An advance in novel intelligent sensory technologies: From an implicit‐tracking perspective of food perception DOI
Qian Zhao,

Zhiyue Ye,

Yong Deng

et al.

Comprehensive Reviews in Food Science and Food Safety, Journal Year: 2024, Volume and Issue: 23(2)

Published: March 1, 2024

Abstract Food sensory evaluation mainly includes explicit and implicit measurement methods. Implicit measures of consumer perception are gaining significant attention in food science as they provide effective, subconscious, objective analysis. A wide range advanced technologies now available for analyzing physiological psychological responses, including facial analysis technology, neuroimaging autonomic nervous system behavioral pattern measurement. However, researchers the field often lack systematic knowledge these multidisciplinary struggle with interpreting their results. In order to bridge this gap, review systematically describes principles highlights applications such eye tracking, electromyography, automatic expression analysis, well like electroencephalography, magnetoencephalography, functional magnetic resonance imaging, near‐infrared spectroscopy. Furthermore, we critically compare discuss techniques context research then accordingly propose prospects. Ultimately, conclude that should be complemented by traditional capture responses beyond preference. Facial offer a more reflection attitudes toward food, whereas valuable insight into during consumption. To enhance interpretability generalizability results, further studies needed. Looking ahead, combination different methodological real‐life situations holds promise research.

Language: Английский

Citations

6
Unraveling emotional regulation through multimodal neuroimaging techniques DOI Creative Commons

Srinur Nilawati,

Siskawati Amri,

Nur Hasanah

et al.

Brainbridge, Journal Year: 2024, Volume and Issue: 1(1), P. 1 - 26

Published: May 30, 2024

Neuroimaging techniques have significantly advanced our understanding of emotional regulation by elucidating the neural mechanisms involved. This review synthesizes findings across multiple modalities—functional Magnetic Resonance Imaging (fMRI), Electroencephalography (EEG), Magnetoencephalography (MEG), Positron Emission Tomography (PET), and Spectroscopy (MRS)—to highlight key insights into processing. The prefrontal cortex (PFC), amygdala, hippocampus, insula emerge as critical brain regions in regulating emotions. fMRI studies demonstrate increased PFC activity decreased amygdala responses during effective emotion regulation, indicating top-down control mechanisms. EEG MEG provide temporal dynamics responses, capturing rapid changes tasks. PET MRS reveal neurochemical basis emphasizing roles neurotransmitters like serotonin dopamine. Integration multimodal approaches, such fMRI-EEG fMRI-PET, enhances combining spatial, temporal, specificity. Challenges include methodological limitations need for diverse participant samples to improve generalizability. Future research should focus on improving spatial resolution, adopting longitudinal ecologically valid designs, fostering interdisciplinary collaborations. These advancements hold promise developing personalized interventions treatments disorders leveraging neuroimaging biomarkers underpinnings regulation.

Language: Английский

Citations

5
From bench to bedside: Overview of magnetoencephalography in basic principle, signal processing, source localization and clinical applications DOI Creative Commons
Yanling Yang,

Shichang Luo,

Wenjie Wang

et al.

NeuroImage Clinical, Journal Year: 2024, Volume and Issue: 42, P. 103608 - 103608

Published: Jan. 1, 2024

Magnetoencephalography (MEG) is a non-invasive technique that can precisely capture the dynamic spatiotemporal patterns of brain by measuring magnetic fields arising from neuronal activity along order milliseconds. Observations dynamics have been used in cognitive neuroscience, diagnosis neurological diseases, and brain-computer interface (BCI). In this study, we outline basic principle, signal processing, source localization MEG, describe its clinical applications for assessment, diagnoses diseases mental disorders, preoperative evaluation, BCI. This review not only provides an overall perspective ranging practical techniques to applications, but also enhances prevalent understanding neural mechanisms. The use MEG expected lead significant breakthroughs neuroscience.

Language: Английский

Citations

4
The application of brain–computer interface in Alzheimer’s disease studies based on machine learning algorithms DOI
Helia Givian

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 121 - 143

Published: Jan. 1, 2025

Language: Английский

Citations

0