Current Opinion in Biomedical Engineering, Journal Year: 2021, Volume and Issue: 18, P. 100272 - 100272
Published: Feb. 6, 2021
Language: Английский
Neurophotonics, Journal Year: 2022, Volume and Issue: 9(S2)
Published: Aug. 30, 2022
This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit novel methods to explore brain health function. While first focused on neurophotonic tools mostly applicable animal studies, here, we highlight optical spectroscopy imaging relevant noninvasive human studies. We outline current state-of-the-art technologies software advances, most recent impact these neuroscience clinical applications, identify areas where innovation needed, provide outlook for future directions.
Language: Английский
Citations
118
Sensors, Journal Year: 2022, Volume and Issue: 22(15), P. 5865 - 5865
Published: Aug. 5, 2022
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better resolution, though it is constrained by its One important merit shared the that both modalities have favorable portability could be integrated into compatible experimental setup, providing compelling ground development of multimodal fNIRS-EEG integration analysis approach. Despite growing number studies using concurrent designs reported in recent years, methodological reference past remains unclear. To fill this knowledge gap, review critically summarizes status methods currently used studies, an up-to-date overview guideline future projects to conduct studies. A literature search was conducted PubMed Web Science through 31 August 2021. After screening qualification assessment, 92 involving data recordings analyses were included final review. Specifically, three categories analyses, including EEG-informed fNIRS-informed parallel identified explained with detailed description. Finally, we highlighted current challenges potential directions research.
Language: Английский
Citations
117
NeuroImage, Journal Year: 2022, Volume and Issue: 263, P. 119623 - 119623
Published: Sept. 12, 2022
Empirical observations of how labs conduct research indicate that the adoption rate open practices for transparent, reproducible, and collaborative science remains in its infancy. This is at odds with overwhelming evidence necessity these their benefits individual researchers, scientific progress, society general. To date, information required implementing throughout different steps a project scattered among many sources. Even experienced researchers topic find it hard to navigate ecosystem tools make sustainable choices. Here, we provide an integrated overview community-developed resources can support collaborative, open, replicable, robust generalizable neuroimaging entire cycle from inception publication across modalities. We review supporting study planning, data acquisition, management, processing analysis, dissemination. An online version this resource be found https://oreoni.github.io. believe will prove helpful institutions successful move towards reproducible eventually take active role future development.
Language: Английский
Citations
80
PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e17057 - e17057
Published: Feb. 28, 2024
Objectives Short sleep is becoming more common in modern society. This study aimed to explore the relationship between accelerometer-measured duration and cognitive performance among young adults as well underlying hemodynamic mechanisms. Methods A total of 58 participants were included this study. Participants asked wear an ActiGraph GT3X+ accelerometer identify their for 7 consecutive days. Cognitive function was assessed by Stroop test. Two conditions, including congruent incongruent Stroop, set. In addition, stratified analyses used examine sensitivity. 24-channel functional near-infrared spectroscopy (fNIRS) equipment applied measure changes prefrontal cortex (PFC) during tasks. Results showed that positively associated with accuracy test (0.001 (0.000, 0.002), p = 0.042). Compared regular (≥7 h) group, lower (−0.012 (−0.023, −0.002), 0.024) observed severe short (<6 h). Moreover, a analysis conducted examining gender, age, BMI, birthplace, education’s impact on accuracy, confirming consistent correlation across all demographics. activation left middle frontal gyri right dorsolateral superior negatively performance. Conclusions emphasized importance maintaining enough schedules college students from fNIRS perspective. The findings could potentially be guide time help them make schemes.
Language: Английский
Citations
32
Neurophotonics, Journal Year: 2021, Volume and Issue: 8(02)
Published: May 22, 2021
Functional near-infrared spectroscopy (fNIRS) is an increasingly popular tool in auditory research, but the range of analysis procedures employed across studies may complicate interpretation data.
Language: Английский
Citations
84
Neurophotonics, Journal Year: 2022, Volume and Issue: 9(04)
Published: July 20, 2022
Significance: Optical neuroimaging has become a well-established clinical and research tool to monitor cortical activations in the human brain. It is notable that outcomes of functional near-infrared spectroscopy (fNIRS) studies depend heavily on data processing pipeline classification model employed. Recently, deep learning (DL) methodologies have demonstrated fast accurate performances tasks across many biomedical fields. Aim: We aim review emerging DL applications fNIRS studies. Approach: first introduce some commonly used techniques. Then, summarizes current work most active areas this field, including brain-computer interface, neuro-impairment diagnosis, neuroscience discovery. Results: Of 63 papers considered review, 32 report comparative study techniques traditional machine where 26 been shown outperforming latter terms accuracy. In addition, eight also utilize reduce amount preprocessing typically done with or increase via augmentation. Conclusions: The application mitigate hurdles present such as lengthy small sample sizes while achieving comparable improved
Language: Английский
Citations
69
Brain Sciences, Journal Year: 2021, Volume and Issue: 11(3), P. 291 - 291
Published: Feb. 26, 2021
(1) Functional near-infrared spectroscopy (fNIRS) provides a useful tool for monitoring brain activation changes while walking in adults with neurological disorders. When combined dual task paradigms, fNIRS allows to be monitored when individuals concurrently attend multiple tasks. However, differences baseline, and coverage of cortical areas, presents uncertainty the interpretation overarching findings. (2) Methods: By conducting systematic review 35 studies meta-analysis 75 effect sizes from 17 on or without disorders, we show that performance obstacle walking, serial subtraction letter generation tasks result significant increases prefrontal cortex relative standing baselines. (3) Results: Overall, find have largest between single gait are seen persons sclerosis stroke. (4) Conclusions: Older disease generally showed increased suggesting use more attentional resources during which could lead fall risk mobility impairments. PROSPERO ID: 235228.
Language: Английский
Citations
59
Sensors, Journal Year: 2021, Volume and Issue: 21(12), P. 4075 - 4075
Published: June 13, 2021
The use of functional near-infrared spectroscopy (fNIRS) hyperscanning during naturalistic interactions in parent–child dyads has substantially advanced our understanding the neurobiological underpinnings human social interaction. However, despite rise developmental studies over last years, analysis procedures have not yet been standardized and are often individually developed by each research team. This article offers a guide on fNIRS data MATLAB R. We provide an example dataset 20 assessed cooperative versus individual problem-solving task, with brain signal acquired using 16 channels located bilateral frontal temporo-parietal areas. toolboxes Homer2 SPM for to preprocess suggest procedure. Next, we calculate interpersonal neural synchrony between Wavelet Transform Coherence (WTC) illustrate how run random pair control spurious correlations signal. then RStudio estimate Generalized Linear Mixed Models (GLMM) account bounded distribution coherence values analyses. With this guide, hope offer advice future investigations enhance replicability within field.
Language: Английский
Citations
58
NeuroImage, Journal Year: 2021, Volume and Issue: 238, P. 118263 - 118263
Published: June 11, 2021
How two brains communicate with each other during social interaction is highly dynamic and complex. Multi-person (i.e., hyperscanning) studies to date have focused on analyzing the entire time series of brain signals reveal an overall pattern inter-brain synchrony (IBS). However, this approach does not account for nature interaction. In present study, we propose a data-driven based sliding windows k-mean clustering capture modulation IBS patterns interactive cooperation tasks. We used portable functional near-infrared spectroscopy (fNIRS) system measure hemodynamic response between interacting partners (20 dyads) engaged in creative design task 3D model building task. Results indicated that inter-personal communication naturalistic generally presented states along Compared task, appeared involve more complex active multiple regions specific states. summary, proposed stands as promising tool distill dynamics associated into set representative fine-grained temporal resolution. This holds promise advancing our current understanding neurocognitive processes underlying
Language: Английский
Citations
57
Neurophotonics, Journal Year: 2022, Volume and Issue: 9(03)
Published: July 11, 2022
In this Outlook paper, we explain why an accurate physiological interpretation of functional near-infrared spectroscopy (fNIRS) neuroimaging signals is facilitated when systemic activity (e.g., cardiorespiratory and autonomic activity) measured simultaneously by employing physiology augmented (SPA-fNIRS). The rationale for SPA-fNIRS twofold: (i) enables a more complete understanding the fNIRS at head since they contain components originating from neurovascular coupling sources. with can be used regressing out confounding in signals. Misinterpretations thus minimized. (ii) to study embodied brain linking state entire body, allowing novel insights into their complex interplay. We envisage approach will become increasingly important future.
Language: Английский
Citations
48