Mental Stress Management Using fNIRS Directed Connectivity and Audio Stimulation DOI Creative Commons
Rateb Katmah, Fares Al-Shargie, Usman Tariq

et al.

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2023, Volume and Issue: 31, P. 1086 - 1096

Published: Jan. 1, 2023

In this study, we propose a method to enhance cognitive vigilance and mitigate mental stress in the workplace. We designed an experiment induce by putting participants through Stroop Color-Word Task (SCWT) under time constraint negative feedback. Then, used 16 Hz binaural beats auditory stimulation (BBs) for 10 minutes stress. Functional Near-Infrared Spectroscopy (fNIRS), salivary alpha-amylase, behavioral reactions were determine level. The level of was assessed using reaction stimuli (RT), accuracy target detection, directed functional connectivity based on partial coherence, graph theory measures, laterality index (LI). discovered that BBs mitigated substantially increasing detection 21.83% ( p <0.001) decreasing alpha amylase levels 30.28% (p<0.01). analysis LI results indicated decreased information flow from left right prefrontal cortex stress, whereas had major impact enhancing mitigating via boosting network dorsolateral ventrolateral cortex.

Language: Английский

Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review DOI Open Access
Fabian Herold, Patrick Wiegel, Felix Scholkmann

et al.

Journal of Clinical Medicine, Journal Year: 2018, Volume and Issue: 7(12), P. 466 - 466

Published: Nov. 22, 2018

For cognitive processes to function well, it is essential that the brain optimally supplied with oxygen and blood. In recent years, evidence has emerged suggesting cerebral oxygenation hemodynamics can be modified physical activity. To better understand relationship between oxygenation/hemodynamics, activity, cognition, application of state-of-the art neuroimaging tools essential. Functional near-infrared spectroscopy (fNIRS) such a tool especially suitable investigate effects activity/exercises on due its capability quantify changes in concentration oxygenated hemoglobin (oxyHb) deoxygenated (deoxyHb) non-invasively human brain. However, currently there no clear standardized procedure regarding application, data processing, analysis fNIRS, large heterogeneity how fNIRS applied field exercise–cognition science. Therefore, this review aims summarize current methodological knowledge about studies measuring cortical hemodynamic responses during testing (i) prior after different activities interventions, (ii) cross-sectional accounting for fitness level their participants. Based methodology 35 as relevant considered publications, we outline recommendations future

Language: Английский

Citations

357

Best practices for fNIRS publications DOI Creative Commons
Meryem A. Yücel, Alexander von Lühmann, Felix Scholkmann

et al.

Neurophotonics, Journal Year: 2021, Volume and Issue: 8(01)

Published: Jan. 7, 2021

The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has been expanding over last 40 years. Today, it is addressing a wide range applications within different populations and utilizes great variety experimental paradigms. With rapid growth diversification research methods, some inconsistencies are appearing way which methods presented, can make interpretation replication studies unnecessarily challenging. Society for Functional Near-Infrared Spectroscopy thus motivated to organize representative (but not exhaustive) group leaders field build consensus on best practices describing utilized fNIRS studies. Our paper designed provide guidelines help enhance reliability, repeatability, traceability reported encourage throughout community. A checklist provided guide authors preparation their manuscripts assist reviewers when evaluating papers.

Language: Английский

Citations

356

Temporal Derivative Distribution Repair (TDDR): A motion correction method for fNIRS DOI
Frank A. Fishburn,

Ruth S. Ludlum,

Chandan J. Vaidya

et al.

NeuroImage, Journal Year: 2018, Volume and Issue: 184, P. 171 - 179

Published: Sept. 11, 2018

Language: Английский

Citations

314

Optical imaging and spectroscopy for the study of the human brain: status report DOI Creative Commons
Hasan Ayaz, Wesley B. Baker, Giles Blaney

et al.

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

Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies DOI Creative Commons
Hendrik Santosa, Xuetong Zhai, Frank A. Fishburn

et al.

Neurophotonics, Journal Year: 2020, Volume and Issue: 7(03)

Published: Sept. 23, 2020

Significance: Isolating task-evoked brain signals from background physiological noise (e.g., cardiac, respiratory, and blood pressure fluctuations) poses a major challenge for the analysis of functional near-infrared spectroscopy (fNIRS) data. Aim: The performance several analytic methods to separate activity including spatial temporal filtering, regression, component analysis, use short-separation (SS) measurements were quantitatively compared. Approach: Using experimentally recorded (breath-hold task), receiver operating characteristics simulations performed by adding various levels additive synthetic “brain” responses in order examine sensitivity specificity previously proposed approaches. Results: We found that SS fNIRS channels as regressors no-interest within linear regression model was best performing approach examined. Furthermore, we addition all available data, both hemoglobin species, improved method despite additional degrees-of-freedom models. When data not available, principal filtering using baseline scan alternative. Conclusions: multiple no interest implemented robust, iteratively prewhitened, general has tested existing methods.

Language: Английский

Citations

97

Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm DOI Creative Commons
Robert Luke, Eric B. Larson, Maureen J. Shader

et al.

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

Obesity-induced cognitive impairment in older adults: a microvascular perspective DOI
Priya Balasubramanian, Tamás Kiss, Stefano Tarantini

et al.

AJP Heart and Circulatory Physiology, Journal Year: 2020, Volume and Issue: 320(2), P. H740 - H761

Published: Dec. 18, 2020

Over two-thirds of individuals aged 65 and older are obese or overweight in the United States. Epidemiological data show an association between degree adiposity cognitive dysfunction elderly. In this review, pathophysiological roles microvascular mechanisms, including impaired endothelial function neurovascular coupling responses, rarefaction, blood-brain barrier disruption genesis impairment geriatric obesity considered. The potential contribution adipose-derived factors fundamental cellular molecular mechanisms senescence to exacerbated obesity-induced cerebromicrovascular decline aging discussed.

Language: Английский

Citations

80

Application of functional near-infrared spectroscopy in the healthcare industry: A review DOI Creative Commons
Keum‐Shik Hong, M. Atif Yaqub

Journal of Innovative Optical Health Sciences, Journal Year: 2019, Volume and Issue: 12(06)

Published: Sept. 12, 2019

Functional near-infrared spectroscopy (fNIRS), a growing neuroimaging modality, has been utilized over the past few decades to understand neuronal behavior in brain. The technique used assess brain hemodynamics of impaired cohorts as well able-bodied. Neuroimaging is critical for patients with cognitive or motor behaviors. portable nature fNIRS system suitable frequent monitoring who exhibit activity. This study comprehensively reviews brain-impaired patients: studies involving patient populations and diseases discussed more than 10 works are included. Eleven examined this paper include autism spectrum disorder, attention-deficit hyperactivity epilepsy, depressive disorders, anxiety panic schizophrenia, mild impairment, Alzheimer’s disease, Parkinson’s stroke, traumatic injury. For each tasks examination, variables, significant findings on impairment discussed. channel configurations regions interest also outlined. Detecting occurrence symptoms at an earlier stage vital better rehabilitation faster recovery. illustrates usability early detection usefulness process. Finally, limitations current systems (i.e., nonexistence standard method lack well-established features classification) future research directions authors hope that would lead advanced breakthrough discoveries field future.

Language: Английский

Citations

76

Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review DOI Creative Commons
Haroon Khan, Noman Naseer, Anis Yazidi

et al.

Frontiers in Human Neuroscience, Journal Year: 2021, Volume and Issue: 14

Published: Jan. 25, 2021

Human gait is a complex activity that requires high coordination between the central nervous system, limb, and musculoskeletal system. More research needed to understand latter coordination's complexity in designing better more effective rehabilitation strategies for disorders. Electroencephalogram (EEG) functional near-infrared spectroscopy (fNIRS) are among most used technologies monitoring brain activities due portability, non-invasiveness, relatively low cost compared others. Fusing EEG fNIRS well-known established methodology proven enhance brain–computer interface (BCI) performance terms of classification accuracy, number control commands, response time. Although there has been significant exploring hybrid BCI (hBCI) involving both different types tasks human activities, remains still underinvestigated. In this article, we aim shed light on recent development analysis using EEG-fNIRS-based The current review followed guidelines preferred reporting items systematic reviews meta-Analyses (PRISMA) during data collection selection phase. review, put particular focus commonly signal processing machine learning algorithms, as well survey potential applications analysis. We distill some critical findings follows. First, hardware specifications experimental paradigms should be carefully considered because their direct impact quality assessment. Second, since modalities, fNIRS, sensitive motion artifacts, instrumental, physiological noises, quest robust sophisticated algorithms. Third, temporal spatial features, obtained by virtue fusing associated with cortical activation, can help identify correlation activation gait. conclusion, hBCI (EEG + fNIRS) system not yet much explored lower limb its higher limb. Existing systems tend only one modality. foresee vast adopting Imminent technical breakthroughs expected assistive devices Monitor neuro-plasticity neuro-rehabilitation. However, although those perform controlled environment when it comes them certified medical device real-life clinical applications, long way go.

Language: Английский

Citations

58

Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain DOI Creative Commons
Felix Scholkmann, Ilias Tachtsidis, Martin Wolf

et al.

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