Applications of Resting-State fNIRS in the Developing Brain: A Review From the Connectome Perspective

Hu, Zhishan; Liu, Guangfang; Dong, Qi; Niu, Haijing

doi:10.3389/fnins.2020.00476

Cited by 46 publications

(29 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 9 , 10 FNIRS has been successfully applied to various neuroscience domains, including areas such as motor-related studies with large bodily movements, social cognitive neuroscience, and neurodevelopment. 11 – 15 In addition to task-evoked activation studies, fNIRS has also seen increasing use in detecting spontaneous brain activity absent of external stimuli during resting state, 16 – 20 which is particularly useful for several special populations who cannot perform complicated tasks, such as infants and patients with certain deficits.…”

Section: Introductionmentioning

confidence: 99%

NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis

et al. 2021

View full text Add to dashboard Cite

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 task activation analysis, few software packages can assist resting-state fNIRS studies. Aim:We aimed to provide a versatile and easy-to-use toolbox to perform analysis for both resting state and task fNIRS.Approach: We developed a MATLAB toolbox called NIRS-KIT that works for both restingstate analysis and task activation detection.Results: NIRS-KIT implements common and necessary processing steps for performing fNIRS data analysis, including data preparation, quality control, preprocessing, individual-level analysis, group-level statistics with several popular statistical models, and multiple comparison correction methods, and finally results visualization. For resting-state fNIRS analysis, functional connectivity analysis, graph theory-based network analysis, and amplitude of low-frequency fluctuations analysis are provided. Additionally, NIRS-KIT also supports activation analysis for task fNIRS.Conclusions: NIRS-KIT offers an open source tool for researchers to analyze resting-state and/ or task fNIRS data in one suite. It contains several key features: (1) good compatibility, supporting multiple fNIRS recording systems, data formats of NIRS-SPM and Homer2, and the shared near-infrared spectroscopy format data format recommended by the fNIRS society; (2) flexibility, supporting customized preprocessing scripts; (3) ease-to-use, allowing processing fNIRS signals in batch manner with user-friendly graphical user interfaces; and (4) feature-packed data viewing and result visualization. We anticipate that this NIRS-KIT will facilitate the development of the fNIRS field.

show abstract

Section: Introductionmentioning

confidence: 99%

NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In these years, resting-state functional near-infrared spectroscopy (fNIRS) is considered an emerging imaging technique and has shown valuable potential in exploring brain network architecture and the brain mechanisms underlying various cognitive functions [ 14 ]. Compared with functional magnetic resonance imaging (fMRI), fNIRS can be operated in a more economical, cost-effective, comfortable, safe, quiet, and portable way, and with high ecological validity [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. In addition, fNIRS measures the concentration changes in oxygenated hemoglobin (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb) with a slightly higher temporal resolution than fMRI, which can provide more information about neurovascular changes in the brain [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Is There a Difference in Brain Functional Connectivity between Chinese Coal Mine Workers Who Have Engaged in Unsafe Behavior and Those Who Have Not?

Tian

et al. 2022

IJERPH

View full text Add to dashboard Cite

(1) Background: As a world-recognized high-risk occupation, coal mine workers need various cognitive functions to process the surrounding information to cope with a large number of perceived hazards or risks. Therefore, it is necessary to explore the connection between coal mine workers’ neural activity and unsafe behavior from the perspective of cognitive neuroscience. This study explored the functional brain connectivity of coal mine workers who have engaged in unsafe behaviors (EUB) and those who have not (NUB). (2) Methods: Based on functional near-infrared spectroscopy (fNIRS), a total of 106 workers from the Hongliulin coal mine of Shaanxi North Mining Group, one of the largest modern coal mines in China, completed the test. Pearson’s Correlation Coefficient (COR) analysis, brain network analysis, and two-sample t-test were used to investigate the difference in brain functional connectivity between the two groups. (3) Results: The results showed that there were significant differences in functional brain connectivity between EUB and NUB among the frontopolar area (p = 0.002325), orbitofrontal area (p = 0.02102), and pars triangularis Broca’s area (p = 0.02888). Small-world properties existed in the brain networks of both groups, and the dorsolateral prefrontal cortex had significant differences in clustering coefficient (p = 0.0004), nodal efficiency (p = 0.0384), and nodal local efficiency (p = 0.0004). (4) Conclusions: This study is the first application of fNIRS to the field of coal mine safety. The fNIRS brain functional connectivity analysis is a feasible method to investigate the neuropsychological mechanism of unsafe behavior in coal mine workers in the view of brain science.

show abstract

“…Among the many significant fNIRS studies, one of the major contributions is the study of brain development. These studies shed light on cognitive processes in the developing brain that cannot be explored by other neuroimaging techniques, such as the cognitive processing of vision, sensory, and smell in infants, as well as the processing of language and sound ( 24 ). It provides a new method and important scientific values for the study of neural development.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Short-Term Music Therapy on Brain Functions of Preterm Infants Using Functional Near-Infrared Spectroscopy

et al. 2021

View full text Add to dashboard Cite

Music contains substantial contents that humans can perceive and thus has the capability to evoke positive emotions. Even though neonatal intensive care units (NICUs) can provide preterm infants a developmental environment, they still cannot fully simulate the environment in the womb. The reduced maternal care would increase stress levels in premature infants. Fortunately, music intervention has been proved that it can improve the NICU environment, such as stabilize the heart rate and the respiratory rate, reduce the incidence of apnea, and improve feeding. However, the effects of music therapy on the brain development of preterm infants need to be further investigated. In this paper, we evaluated the influence of short-term music therapy on the brain functions of preterm infants measured by functional near-infrared spectroscopy (fNIRS). We began by investigating how premature babies perceive structural information of music by calculating the correlations between music features and fNIRS signals. Then, the influences of short-term music therapy on brain functions were evaluated by comparing the resting-state functional connectivity before and after the short-term music therapy. The results show that distinct brain regions are responsible for processing corresponding musical features, indicating that preterm infants have the capability to process the complex musical content. However, the results of network analysis show that short-term music intervention is insufficient to cause the changes in cerebral functional connectivity. Therefore, long-term music therapy may be required to achieve the deserved effects on brain functional connectivity.

show abstract

Applications of Resting-State fNIRS in the Developing Brain: A Review From the Connectome Perspective

Cited by 46 publications

References 56 publications

NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis

NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis

Is There a Difference in Brain Functional Connectivity between Chinese Coal Mine Workers Who Have Engaged in Unsafe Behavior and Those Who Have Not?

Evaluation of the Short-Term Music Therapy on Brain Functions of Preterm Infants Using Functional Near-Infrared Spectroscopy

Contact Info

Product

Resources

About