Hearing Research, Journal Year: 2021, Volume and Issue: 406, P. 108256 - 108256
Published: April 28, 2021
Language: Английский
Neurophotonics, Journal Year: 2021, Volume and Issue: 8(01)
Published: Jan. 25, 2021
Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human brain function during task state and resting state. However, the existing analysis toolboxes mainly focus on activation analysis, few software packages can assist resting-state fNIRS studies. Aim: We aimed provide a versatile easy-to-use toolbox perform for both fNIRS. Approach: developed MATLAB called NIRS-KIT that works detection. Results: implements common necessary processing steps performing data including preparation, quality control, preprocessing, individual-level group-level statistics with several popular statistical models, multiple comparison correction methods, finally results visualization. For functional connectivity graph theory-based network amplitude of low-frequency fluctuations are provided. Additionally, also supports Conclusions: offers an open source tool researchers analyze and/or in one suite. It contains key features: (1) good compatibility, supporting recording systems, formats NIRS-SPM Homer2, shared format recommended by society; (2) flexibility, customized preprocessing scripts; (3) ease-to-use, allowing signals batch manner user-friendly graphical user interfaces; (4) feature-packed viewing result anticipate this will facilitate development field.
Language: Английский
Citations
169
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
119
Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(6)
Published: May 14, 2024
Abstract This study aimed to investigate the effects of high-definition transcranial direct current stimulation on ankle force sense and underlying cerebral hemodynamics. Sixteen healthy adults (8 males 8 females) were recruited in study. Each participant received either real or sham interventions a randomly assigned order 2 visits. An isokinetic dynamometer was used assess dominant ankle; while functional near-infrared spectroscopy employed monitor hemodynamics sensorimotor cortex. Two-way analyses variance with repeated measures Pearson correlation performed. The results showed that absolute error root mean square dropped more after than (dropped by 23.4% vs. 14.9% for error, 20.0% 10.2% error). supplementary motor area activation significantly increased stimulation. decrease interhemispheric connectivity within Brodmann’s areas 6 correlated improvement In conclusion, can be as potential intervention improving sense. Changes could one explanations energetic effect
Language: Английский
Citations
34
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
85
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
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: 2023, Volume and Issue: 275, P. 120116 - 120116
Published: May 9, 2023
Electroencephalographic (EEG) methods have great potential to serve both basic and clinical science approaches understand individual differences in human neural function. Importantly, the psychometric properties of EEG data, such as internal consistency test-retest reliability, constrain their ability differentiate individuals successfully. Rapid recent technological computational advancements research make it timely revisit topic reliability context difference analyses. Moreover, pediatric samples provide some most salient urgent opportunities apply approaches, but changes these populations experience over time also unique challenges from a perspective. Here we take developmental neuroscience perspective consider progress new for parsing stability measurements across lifespan. We first conceptually map different profiles measurement expected types analyses Next, summarize evaluate state field's empirical knowledge need testing measures power, event-related potentials, nonlinearity, functional connectivity ages. Finally, highlight how standardized pre-processing software denoising metrics data quality may be used further improve EEG-based moving forward. include recommendations resources throughout that researchers can implement utility reproducibility with
Language: Английский
Citations
31
NeuroImage, Journal Year: 2024, Volume and Issue: 290, P. 120569 - 120569
Published: March 8, 2024
Functional near infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) both measure the hemodynamic response, so modalities are expected to have a strong correspondence in regions of cortex adjacent scalp. To assess whether fNIRS can be used clinically manner similar fMRI, 22 healthy adult participants underwent same-day fMRI whole-head testing while they performed separate motor (finger tapping) visual (flashing checkerboard) tasks. Analyses were conducted within across subjects for each approach, significant task-related activity compared on cortical surface. The spatial between detection was good terms true positive rate, with overlap up 68% analyses (group analysis) an average 47.25% individual subject. At group level, predictive value 51% relative fMRI. subject lower (41.5%), reflecting presence without activity. This could reflect task-correlated sources physiologic noise and/or differences sensitivity measures changes (vs. combined) oxy de-oxyhemoglobin. results suggest as noninvasive modality promising clinical utility assessment brain superficial physically skull.
Language: Английский
Citations
11
Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 60, P. 102461 - 102461
Published: March 2, 2024
Language: Английский
Citations
9
Sensors, Journal Year: 2025, Volume and Issue: 25(2), P. 428 - 428
Published: Jan. 13, 2025
Accurately identifying and discriminating between different brain states is a major emphasis of functional imaging research. Various machine learning techniques play an important role in this regard. However, when working with small number study participants, the lack sufficient data achieving meaningful classification results remain challenge. In study, we employ strategy to explore stress its impact on spatial activation patterns connectivity caused by Stroop color–word task (SCWT). To improve our increase dataset, use augmentation deep convolutional generative adversarial network (DCGAN). The carried out at two separate times day (morning evening) involves 21 healthy participants. Additionally, introduce binaural beats (BBs) stimulation investigate potential for reduction. morning session includes control phase 10 SCWT trials, whereas afternoon divided into three phases: stress, mitigation (with 16 Hz BB stimulation), post-mitigation, each trials. For comprehensive evaluation, acquired fNIRS are classified using variety machine-learning approaches. Linear discriminant analysis (LDA) showed maximum accuracy 60%, non-augmented neural (CNN) provided highest 73%. Notably, after augmenting DCGAN, increases dramatically 96%. time series data, statistically significant differences were noticed before stimulation, which improvement state, line results. These findings illustrate ability detect changes high fNIRS, underline need larger datasets, demonstrate that can significantly help scarce case signals.
Language: Английский
Citations
1