Lights on music cognition: a systematic and critical review of fNIRS applications and future perspectives DOI Open Access
Federico Curzel, Barbara Tillmann, Laura Ferreri

и другие.

Опубликована: Апрель 8, 2024

Research investigating the neural processes related to music perception and production constitutes a well-established field within cognitive neurosciences. While most neuroimaging tools have limitations in studying complexity of musical experiences, Functional Near-Infrared Spectroscopy (fNIRS) represents promising, relatively new tool for both laboratory ecological settings, which is also suitable typical pathological populations across development. Here we systematically review fNIRS studies on cognition, highlighting prospects potentialities. We include an overview fNIRS’ basic theory, together with brief comparison characteristics other tools. Fifty-nine meeting inclusion criteria (i.e., using as primary stimulus) are presented five thematic sections. Critical discussion methodology leads propose guidelines good practices aiming robust signal analyses reproducibility. A continuously updated world map elemental information from aims establish organized, accessible, updatable reference database, facilitating future collaborations community. In conclusion, shows potential music, particular contexts special populations, aligning current research priorities cognition.

Язык: Английский

Editorial: Multimodal approaches to investigating neural dynamics in cognition and related clinical conditions: integrating EEG, MEG, and fMRI data DOI Creative Commons
Golnaz Baghdadi, Fatemeh Hadaeghi,

Chella Kamarajan

и другие.

Frontiers in Systems Neuroscience, Год журнала: 2025, Номер 19

Опубликована: Фев. 11, 2025

neuroanatomical information, behavioral data including performance evaluations on a working memory task, were analyzed as key indicator of the effects neurofeedback and associated cerebral hemodynamic changes over time. The findings indicated that training was effective in enhancing prefrontal activity maintaining cognitive function acute stroke patients. multidimensional approach enabled thorough examination relationship between brain structure, function, behavior.Jones, Keith G., et al. conducted detailed EEG patterns during propofol-induced burst suppression patients with treatment-resistant depression. Their study identifies distinct types activity, highlighting variability neural responses to anesthesia. Participants randomized receive either high-or low-dose propofol infusions. identified three 1-broadband bursts, 2-spindles, 3-low-frequency each varying significantly across subjects terms occurrence, spectral power, spatial scalp. Combining clinical (e.g., drug dosages patient characteristics) provided valuable insights into individualization anesthetic dosing diverse propofol, potentially leading more tailored treatment strategies practice.In another study, Mertiens, Sean, investigated how Parkinson's disease (PD) affects resting state networks (RSNs) using MEG measure phase-amplitude coupling (PAC). This combined T1-MRI scans. captured dynamic oscillations PAC within RSNs, while accurate source reconstruction signals. integration allows for precise mapping RSNs revealed significant alterations these PD compared healthy controls, particularly sensorimotor network (SMN). Levodopa medication normalized SMN toward similar though no observed optimal frequencies, suggesting levodopa primarily motor symptoms without influencing all same way.The results above-mentioned studies demonstrate combining different modalities can enhance process provide deeper diseases disorders. However, previously discussed, integrating multiple present challenges, some are focused improving addressing technical issues. Karittevlis, Christodoulos, introduce novel method analyzing evoked somatosensory stimulation, aimed at identifying early thalamus cortex. EEG-MEG often face challenges accurately determining due reliance complex models many assumptions. These be inaccurate because skull distorts electrical Additionally, stimulus trials complicate achievement consistent results. proposes straightforward bypasses modeling uses called virtual sensors (VS), which combines directly capture activity. improves accuracy elicited trial-to-trial variability, offering clearer reliable communication regions. By simplifying computational processes, authors potential applications real-time brain-computer interfaces, practical benefits multimodal approaches applied neuroscience.The by Dayarian, N, Khadem, A leverages recording MRI-based head new algorithm localization. Accurate localization is crucial diagnosing planning treatments neurological disorders such epilepsy, precisely location abnormal It also plays role surgical planning, helping minimize damage critical regions, aids monitoring progression tailoring individual patients, thus personalized medicine (Yang al., 2023).However, faces several geometry brain, complicates modeling. Traditional methods struggle heterogeneous properties tissues low resolution EEG, making it difficult differentiate closely situated sources. signals susceptible noise artifacts, muscle or eye movements, obscure true hinder (Michel Brunet, 2019;Hirata 2024). Many techniques rely assumptions about models, may not reflect anatomical variations, further impacting (Hirata co-registration model critical, any misalignment affect results.Dayarian, propose hybrid strengths boundary element (BEM) finite (FEM), address challenges. BEM effectively isotropic regions dipolar sources, FEM handles complex, anisotropic greater accuracy. validating this realistic achieves improvements forward problem solutions. demonstrates enhanced error metrics alone, value incorporating information from MRI improve precision neuroimaging analyses.Each imaging has its own advantages limitations, outlined Table 1. To fast dynamics, high temporal essential rapid Among non-invasive techniques, stand out their millisecondlevel resolution, them ideal studying processes. In contrast, fMRI fNIRS offer order seconds, limits applicability investigating dynamics.In most sensitive fMRI, followed fNIRS, MEG, EEG. High mapping. offers highest (in millimeters), allowing visualization active layers. lowest resolution. Although have been developed mitigate limitation, they volume conduction require density electrodes determine (Liu 2023).Apart factors usage complexity, portability, cost considerations when se Apart selecting method. leverage various limitations technique, recommended. simultaneous use two presents following sections.The primary advantage EEG-fMRI co-recording ability both (through data) data), resulting comprehensive understanding One issue need MR-compatible hardware, increase costs. systems designed non-magnetic induced voltages currents could arise radiofrequency gradient fields scans (Mele 2019;Scrivener, 2021;Warbrick, 2022). If adequately controlled, cause heating ECG leads, posing risks participants (Kugel 2003).To risks, careful design wires materials resistant built-in resistors necessary. addition, magnetic environment quality signals, reduce signal-to-noise ratio, post-processing influence MRI's fields, effect generally minimal disregarded. typically lying down, suitable requiring positions, sitting, standing, walking. Moreover, environment's cold temperatures intense uncomfortable especially children elderly, confounding Lastly, well-suited sleep disorder discomfort impracticality extended scanning sessions (Duyn, 2012;Mele 2019;Ebrahimzadeh 2022).Analyzing recordings unique requires specific methods. Common analysis include (Huster 2012;Abreu 2018):1. Symmetrical Approaches  Model-Based Techniques: involve creating mathematical understand data. complexities ensuring Despite mentioned frequently used than other approaches. preference likely maturity technologies relatively lower systems.While notable lack inability record sitting standing restricted duration, an noisy. Functional near-infrared spectroscopy (fNIRS) addresses measuring metabolic similarly but flexibility. influenced differences skin color hair type, positions (sitting, walking) periods. Consequently, EEG-fNIRS provides solution concerns portability systems. smaller maintenance requirements 2021;Uchitel 2021).One challenge configuring related interference. Ongoing technological development needed (Ahn Jun, 2017;Chen 2020;Li 2022).Pre-processing processing modality steps, introduces additional negative impact one modalities. solutions (Hossain 2022;Li 2022;Mughal 2022) facilitates data, thereby overall function.Simultaneous achieve necessity systems, adverse recordings. researchers employ (Im 2005;Plis 2010;Hall 2014;Cichy 2016):1. Minimize Temporal Overlap: Reduce concurrent time lessen 2. Use Precise Timing Triggers: Ensure alignment timing triggers. 3. Shield sensors: Protect external electromagnetic 4. Apply ICA: ICA separate signals.These help difficulties facilitating data.To MEG-fMRI co-recording, replacing advantageous. substitution reducing MEG's higher superior ratio common MEG-fNIRS MEG-fNIRS. difficulty achieving arises differing physical modality. For instance, configuration optodes necessitates placement align optimally measurement points (Ru 2022).To analyze integrate preprocessing fusion recommended:1. Alignment: Synchronize reference. MEG: filtering remove drifts high-frequency noise, artifacts. fNIRS: Perform baseline correction detrending manage slow wavelet adaptive handle motion physiological noise.3. Spatial Align coordinates reference.4. Data Standardization: comparability standardizing data.Feature Extraction Fusion: Extract relevant features datasets combine advanced canonical correlation (CCA), joint independent component (jICA), algorithms.These enable interpretation datasets.Along methods, functions Behavioral includes person's psychological tasks, response time, correlate behaviors, providing processed brain. electrophysiological reveal brain-behavioral interactions view functions.Thus, choice depends research type objectives. 2 summary, continue advance, pivotal developing diagnostic therapeutic psychiatric Future should focus analysis, optimizing sensor configurations, robust Such advancements deepen our pathology, opportunities neuroscience applications. Notably, review articles cover combination separately, collection original empirical value.

Язык: Английский

Процитировано

2

Non-invasive measurements of ictal and interictal epileptiform activity using optically pumped magnetometers DOI Creative Commons
Arjan Hillebrand, Niall Holmes,

Ndedi Sijsma

и другие.

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Март 21, 2023

Abstract Magneto- and electroencephalography (MEG/EEG) are important techniques for the diagnosis pre-surgical evaluation of epilepsy. Yet, in current cryogen-based MEG systems sensors offset from scalp, which limits signal-to-noise ratio (SNR) thereby sensitivity to activity deep structures such as hippocampus. This effect is amplified children, whom adult-sized fixed-helmet typically too big. Moreover, ictal recordings with problematic because limited movement tolerance and/or logistical considerations. Optically Pumped Magnetometers (OPMs) can be placed directly on improving SNR enabling during seizures. We aimed demonstrate performance OPMs a clinical population. Seven patients challenging cases epilepsy underwent using 12-channel OPM-system 306-channel whole-head system: three adults known or weak (low SNR) sources interictal epileptiform discharges (IEDs), along children focal one adult frequent The consistency recorded IEDs across two was assessed. In patient detected that were not found SQUID-system, no either system. For other OPM data remarkably consistent cryogenic system, noting these different sessions, comparable SNRs IED-yields overall. Importantly, wearability enabled recording seizure hyperkinetic movements seizure. observed onset semiology agreement previous video- stereo-EEG recordings. relatively affordable technology, combination reduced running maintenance costs, means OPM-based could used more widely than systems, may become an alternative scalp EEG, potential benefits increased spatial accuracy, volume conduction/field spread, sources. Wearable thus provides unprecedented opportunity epilepsy, given its patient-friendliness, we envisage it will only presurgical patients, but also after first

Язык: Английский

Процитировано

32

Hierarchical multimodal-fusion of physiological signals for emotion recognition with scenario adaption and contrastive alignment DOI
Jiehao Tang,

Zhuang Ma,

Kaiyu Gan

и другие.

Information Fusion, Год журнала: 2023, Номер 103, С. 102129 - 102129

Опубликована: Ноя. 10, 2023

Язык: Английский

Процитировано

24

Soft electronics for advanced infant monitoring DOI
Ming Yuan,

Yunxiang Long,

Tao Liu

и другие.

Materials Today, Год журнала: 2024, Номер 75, С. 166 - 186

Опубликована: Апрель 7, 2024

Язык: Английский

Процитировано

13

All-optical dual-axis zero-field atomic magnetometer using light-shift modulation DOI
Xiaoyu Li, Bangcheng Han, Kaixuan Zhang

и другие.

Physical Review Applied, Год журнала: 2024, Номер 21(1)

Опубликована: Янв. 16, 2024

Functional imaging equipment based on miniaturized atomic magnetometers with array arrangement exhibits promising prospects in biomagnetic scenarios. However, crosstalk from the modulated magnetic field between adjacent sensors degrades accuracy. To address this issue, study proposes an all-optical dual-axis zero-field magnetometer using light-shift modulation. We utilize acousto-optic modulator to modulate a detuned circularly polarized beam for pumping spin ensembles. This allows optical modulation of polarization and meanwhile generates modulation, effectively replacing conventional By probe detect rotation angle perpendicular direction pump beam, we construct configuration longitudinally magnetometer, enabling measurements. Experimental results demonstrate sensitivities 29 15fT/Hz1/2, respectively. method eliminates need coil-based thereby paving way potential applications magnetocardiography magnetoencephalography.Received 3 August 2023Revised 13 November 2023Accepted 4 December 2023DOI:https://doi.org/10.1103/PhysRevApplied.21.014023© 2024 American Physical SocietyPhysics Subject Headings (PhySH)Research AreasMagneto-optical effectMagnetometryOptical pumpingStark effectPhysical SystemsAlkali metalsAtomic gasesTechniquesOptically detected resonancePrecision measurementsAtomic, Molecular & OpticalCondensed Matter, Materials Applied Physics

Язык: Английский

Процитировано

8

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

Zhiyue Ye,

Yong Deng

и другие.

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2024, Номер 23(2)

Опубликована: Март 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.

Язык: Английский

Процитировано

7

Simultaneous whole-head electrophysiological recordings using EEG and OPM-MEG DOI Creative Commons
Zelekha A. Seedat,

Kelly St. Pier,

Niall Holmes

и другие.

Imaging Neuroscience, Год журнала: 2024, Номер 2, С. 1 - 15

Опубликована: Май 1, 2024

Abstract Electroencephalography (EEG) and magnetoencephalography (MEG) non-invasively measure human brain electrophysiology. They differ in nature; MEG offers better performance while EEG (a wearable platform) is more practical. are also complementary, with studies showing that concurrent MEG/EEG provides advantages over either modality alone, consequently clinical guidelines for epilepsy recommend simultaneous acquisition of EEG. In recent years, new instrumentation—the optically pumped magnetometer (OPM)—has had a significant impact on MEG, offering improved performance, lifespan compliance, systems. Nevertheless, the ability to carry out EEG/OPM-MEG remains critical. Here, we investigated whether simultaneous, wearable, whole-head OPM-MEG measurably degrades signal quality modality. We employed two tasks: motor task known modulate beta oscillations, an eyes-open/closed alpha oscillations. both, characterised EEG/OPM-MEG. Results show noise ratio (SNR) response was similar, regardless modalities were used individually or concurrently. Likewise, our band recordings demonstrated contrast stable, recording. demonstrate OPM-MEG; specifically, less correlated across channels susceptible interference from non-brain sources. Our results suggest there no barriers EEG/OPM-MEG, this technique ripe neuroscientific adoption. This will be important clinic where facilitate interpretation data patients.

Язык: Английский

Процитировано

5

Applications of OPM-MEG for translational neuroscience: a perspective DOI Creative Commons
Marion Brickwedde, Paul Anders, Andrea A. Kühn

и другие.

Translational Psychiatry, Год журнала: 2024, Номер 14(1)

Опубликована: Авг. 24, 2024

Abstract Magnetoencephalography (MEG) allows the non-invasive measurement of brain activity at millisecond precision combined with localization underlying generators. So far, MEG-systems consisted superconducting quantum interference devices (SQUIDS), which suffer from several limitations. Recent technological advances, however, have enabled development novel based on optically pumped magnetometers (OPMs), offering advantages over conventional SQUID-MEG systems. Considering potential improvements in neuronal signals as well reduced operating costs, application OPM-MEG systems for clinical neuroscience and diagnostic settings is highly promising. Here we provide an overview current state-of-the art its unique translational neuroscience. First, discuss features OPMs benchmark against electroencephalography (EEG), followed by a summary pioneering studies healthy populations. Key applications investigation psychiatric neurological conditions are then reviewed. Specifically, suggest identification biomarkers circuit deficits schizophrenia, dementias, movement disorders, epilepsy, neurodevelopmental syndromes (autism spectrum disorder attention deficit hyperactivity disorder). Finally, give outlook focus remaining methodological technical challenges.

Язык: Английский

Процитировано

5

A Multivariate analysis on evoked components of Chinese semantic congruity: an OP-MEG study with EEG DOI
Huanqi Wu, Xiaoyu Liang, Ruonan Wang

и другие.

Cerebral Cortex, Год журнала: 2024, Номер 34(4)

Опубликована: Апрель 1, 2024

Abstract The application of wearable magnetoencephalography using optically-pumped magnetometers has drawn extensive attention in the field neuroscience. Electroencephalogram system can cover whole head and reflect overall activity a large number neurons. efficacy magnetometer detecting event-related components be validated through electroencephalogram results. Multivariate pattern analysis is capable tracking evolution neurocognitive processes over time. In this paper, we adopted classical Chinese semantic congruity paradigm separately collected signals. Then, verified consistency N400 mutual information index. revealed difference decoding performance these two modalities, which further by dynamic/stable coding on temporal generalization matrix. results from searchlight provided neural basis for dissimilarity at source level sensor level. This study opens new avenue investigating brain’s patterns reveals differences sensitivity between modalities reflecting neuron representation patterns.

Язык: Английский

Процитировано

4

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

и другие.

NeuroImage Clinical, Год журнала: 2024, Номер 42, С. 103608 - 103608

Опубликована: Янв. 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.

Язык: Английский

Процитировано

4