An EEG-fNIRS neurovascular coupling analysis method to investigate cognitive-motor interference

Computers in Biology and Medicine, Год журнала: 2023, Номер 160, С. 106968 - 106968

Опубликована: Май 6, 2023

Язык: Английский

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Investigating the interaction between EEG and fNIRS: A multimodal network analysis of brain connectivity

Journal of Computational Science, Год журнала: 2024, Номер 82, С. 102416 - 102416

Опубликована: Авг. 12, 2024

The brain is a complex system with functional and structural networks. Different neuroimaging methods have been developed to explore these networks, but each method has its own unique strengths limitations, depending on the signals they measure. Combining techniques like electroencephalography (EEG) near-infrared spectroscopy (fNIRS) gained interest, understanding how information derived from modalities related other remains an exciting open question. multilayer network model emerged as promising approach integrate different sources data. In this study, we investigated hemodynamic electrophysiological data captured by fNIRS EEG compare topologies modality, examining vary between resting state (RS) task-related conditions. Additionally, adopted evaluate benefits of combining multiple compared using single modality in capturing characteristic functioning. A small-world structure was observed rest, right motor imagery, left imagery tasks both modalities. We found that captures faster changes neural activity, thus providing more precise estimation timing transfer regions RS. provides insights into slower responses associated longer-lasting sustained processes cognitive tasks. outperformed unimodal analyses, offering richer function. Complementarity observed, particularly during tasks, well certain level redundancy complementarity multimodal approach, which depends specific state. Overall, results highlight differences capture topology RS emphasize value integrating for comprehensive view connectivity

Язык: Английский

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How much do time-domain functional near-infrared spectroscopy (fNIRS) moments improve estimation of brain activity over traditional fNIRS?

Neurophotonics, Год журнала: 2022, Номер 10(01)

Опубликована: Окт. 22, 2022

SignificanceAdvances in electronics have allowed the recent development of compact, high channel count time domain functional near-infrared spectroscopy (TD-fNIRS) systems. Temporal moment analysis has been proposed for increased brain sensitivity due to depth selectivity higher order temporal moments. We propose a general linear model (GLM) incorporating TD data and auxiliary physiological measurements, such as short separation channels, improve recovery HRF.AimsWe compare performance previously reported multi-distance techniques commonly used continuous wave (CW) fNIRS hemodynamic response function (HRF) recovery, namely block averaging CW GLM. Additionally, we technique GLM.ApproachWe augmented resting TD-fNIRS (six subjects) with known synthetic HRFs. then employed GLM "short-separation regression" designed both recover calculated root mean square error (RMSE) correlation recovered HRF ground truth. compared equivalent paired t-tests.ResultsWe found that, on average, improves correlations by 98% 48% HbO HbR respectively, over The improvement is 12% (HbO) 27% (HbR). RMSE decreases 56% 52% (HbO HbR) no statistically significant moment.ConclusionsProperly covariance-scaled outperform their equivalents Furthermore, our based moments outperforms regular analysis, while allowing incorporation measurements confounding signals from scalp.

Язык: Английский

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Identifying Thematics in a Brain‐Computer Interface Research

Computational Intelligence and Neuroscience, Год журнала: 2023, Номер 2023(1)

Опубликована: Янв. 1, 2023

This umbrella review is motivated to understand the shift in research themes on brain-computer interfacing (BCI) and it determined that a away from focus medical advancement system development applications included education, marketing, gaming, safety, security has occurred. The background of this examined aspects BCI categorisation, neuroimaging methods, brain control signal classification, applications, ethics. specific area software hardware was not examined. A search using One Search undertaken 92 reviews were selected for inclusion. Publication demographics indicate average number authors papers considered 4.2 ± 1.8. results also rapid increase 2003, with only three before period, two 1972, one 1996. While predominantly Euro-American early reviews, shifted more global authorship, which China dominated by 2020-2022. revealed six disciplines associated systems: life sciences biomedicine (

Язык: Английский

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Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task

Biomedical Signal Processing and Control, Год журнала: 2023, Номер 86, С. 105160 - 105160

Опубликована: Июнь 20, 2023

Язык: Английский

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