Diagnostic and Predictive Applications of Functional Near-Infrared Spectroscopy for Major Depressive Disorder: A Systematic Review

Frontiers in Psychiatry, Journal Year: 2020, Volume and Issue: 11

Published: May 6, 2020

Major depressive disorder (MDD) is a global psychiatric with no established biomarker. There growing evidence that functional near-infrared spectroscopy (fNIRS) has the ability to aid in diagnosis and prediction of treatment response MDD. The aim this review was systematically review, gather from existing studies used fNIRS signals MDD, correlations depression symptomatology, monitoring response.PubMed, EMBASE, ScienceDirect, Cochrane Library databases were searched for published English articles 1980 June 2019 focused on application (i) differentiating depressed versus nondepressed individuals, (ii) correlating turn (iii) responses depression. Studies included if they utilized evaluate cerebral hemodynamic variations patients MDD any age group. quality assessed using Newcastle-Ottawa assessment scale.A total 64 12 being longitudinal, while rest cross-sectional. More than two-thirds (n = 49) had acceptable quality. consistently demonstrated attenuated changes compared healthy individuals. have also shown promise individual symptoms various responses.This provides comprehensive updated diagnostic predictive applications Future involving larger sample sizes, standardized methodology, examination more brain regions an integrative approach, longitudinal follow-ups are needed.

Language: Английский

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

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

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Effects of Acupuncture Therapy on MCI Patients Using Functional Near-Infrared Spectroscopy

Frontiers in Aging Neuroscience, Journal Year: 2019, Volume and Issue: 11

Published: Aug. 30, 2019

Acupuncture therapy (AT) is a non-pharmacological method of treatment that has been applied to various neurological diseases. However, studies on its longitudinal effect the neural mechanisms patients with mild cognitive impairment (MCI) for purposes are still lacking in literature. In this clinical study, we assess effects ATs MCI using two methods: (i) Montreal Cognitive Assessment test (MoCA-K, Korean version), and (ii) hemodynamic response (HR) analyses functional near-infrared spectroscopy (fNIRS). fNIRS signals working memory (WM) task were acquired from prefrontal cortex. Twelve elderly 12 healthy people recruited as target control (HC) groups, respectively. Each group went through an scanning procedure three times: The initial data obtained without any ATs, subsequently total 24 AT sessions conducted (i.e., MCI-0: prior MCI-1: after 6 weeks, MCI-2: another weeks). mean HR responses all MCI-0-2 cases lower than those HCs. To compare patients, MoCA-K results, temporal data, spatial activation patterns t-maps) examined. addition, connectivity (FC) graph theory upon WM tasks conducted. With averaged scores improved (MCI-1, p = 0.002; MCI-2, 2.9e-4); was increased (p < 0.001); (iii) t-maps MCI-1 MCI-2 enhanced. Furthermore, FC cortex both MCI-1/MCI-2 comparison MCI-0 0.01), increasing trend parameters observed. All these findings reveal have positive impact improving function patients. conclusion, can be used therapeutic tool (Clinical trial registration number: KCT 0002451 https://cris.nih.go.kr/cris/en/).

Language: Английский

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Application of functional near-infrared spectroscopy in the healthcare industry: A review

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

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Effects of HD‐tDCS on Resting‐State Functional Connectivity in the Prefrontal Cortex: An fNIRS Study

Complexity, Journal Year: 2018, Volume and Issue: 2018(1)

Published: Jan. 1, 2018

Functional connectivity is linked to several degenerative brain diseases prevalent in our aging society. Electrical stimulation used for the clinical treatment and rehabilitation of patients with many cognitive disorders. In this study, effects high‐definition transcranial direct current (HD‐tDCS) on resting‐state networks human prefrontal cortex were investigated by using functional near‐infrared spectroscopy (fNIRS). The intrahemispheric as well interhemispheric changes induced 1 mA HD‐tDCS examined 15 healthy subjects. Pearson correlation coefficient‐based matrices generated from filtered time series oxyhemoglobin (ΔHbO) signals converted into binary matrices. Common graph theory metrics computed evaluate network changes. Systematic interhemispheric, intrahemispheric, intraregional analyses demonstrated that positively affected cortex. poststimulation was increased throughout region, while focal an rate stimulated hemisphere. clearly distinguished prestimulation a range thresholds. results study suggest can be increase explored clinically neurorehabilitation diseases.

Language: Английский

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Virtual Reality: a Tool for Preservice Science Teachers to Put Theory into Practice

Journal of Science Education and Technology, Journal Year: 2020, Volume and Issue: 29(4), P. 573 - 585

Published: June 5, 2020

Language: Английский

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Depression Analysis and Recognition Based on Functional Near-Infrared Spectroscopy

IEEE Journal of Biomedical and Health Informatics, Journal Year: 2021, Volume and Issue: 25(12), P. 4289 - 4299

Published: April 30, 2021

Depression is the result of a complex interaction social, psychological and physiological elements. Research into brain disorders patients suffering from depression can help doctors to understand pathogenesis facilitate its diagnosis treatment. Functional near-infrared spectroscopy (fNIRS) non-invasive approach detection functions activities. In this paper, comprehensive fNIRS-based depression-processing architecture, including layers source, feature model, first established guide deep modeling for fNIRS. view complexity depression, we propose methodology in time frequency domains extraction neural networks recognition combined with current research. It found that compared non-depression people, have weaker encephalic area connectivity lower level activation prefrontal lobe during activity. Finally, based on raw data, manual features channel correlations, AlexNet model shows best performance, especially terms correlation presents an accuracy rate 0.90 precision 0.91, which higher than ResNet18 machine-learning algorithms other data. Therefore, regions effectively recognize (from cases non-depression), making it significant clinical treatment depression.

Language: Английский

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An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability

ACM Transactions on Interactive Intelligent Systems, Journal Year: 2022, Volume and Issue: 12(3), P. 1 - 36

Published: April 29, 2022

We propose a new research framework by which the nascent discipline of human-AI teaming can be explored within experimental environments in preparation for transferal to real-world contexts. examine existing literature and unanswered questions through lens an Agile approach construct our proposed framework. Our aims provide structure understanding macro features this landscape, supporting holistic into acceptability human team members affordances AI members. The has potential enhance decision-making performance hybrid teams. Further, proposes application methodology management knowledge discovery. transferability pathway initially tested safe environment, such as real-time strategy video game, with elements lessons learned that transferred situations.

Language: Английский

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Modulation of dorsolateral prefrontal cortex functional connectivity after intermittent theta-burst stimulation in depression: Combining findings from fNIRS and fMRI

NeuroImage Clinical, Journal Year: 2022, Volume and Issue: 34, P. 103028 - 103028

Published: Jan. 1, 2022

Resting-state functional magnetic resonance imaging (fMRI) can assess modulation of connectivity networks following repetitive transcranial stimulation (rTMS) in the treatment depression. Functional near-infrared spectroscopy (fNIRS) is well suited for concurrent application during rTMS sessions to capture immediate blood oxygenation (oxy-Hb) effects, however limited spatial resolution. To understand network effects behind such a prefrontal fNIRS response rTMS, and test whether signal may be predictive response, we linked data from fMRI within clinical intervention study. 42 patients with ongoing depression were recruited randomized receive active or sham intermittent theta-burst (iTBS) over dorsomedial cortex (dmPFC) twice daily ten days at target intensity. Oxy-Hb was recorded first, fifth, final day iTBS, probe holders located laterally TMS coil regions corresponding left right dorsolateral (dlPFC). scanning performed before after whole iTBS course. analyses then using dlPFC seeds parcels brain atlas showing most overlap locations treatment. After dlPFC-connectivity insula/operculum reduced compared sham. The insula showed reduction that correlated an improvement symptoms. In addition, posterior parietal iTBS. Finally, oxy-Hb dlPFC-seed first change precentral temporal regions. By linking findings these two different methods, this study suggests changes both salience central executive affect

Language: Английский

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Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry

Neurophotonics, Journal Year: 2023, Volume and Issue: 10(01)

Published: Feb. 7, 2023

Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique for assessing human brain activity by noninvasively measuring the fluctuation of cerebral oxygenated- and deoxygenated-hemoglobin concentrations associated with neuronal activity. Owing to its superior mobility, low cost, good tolerance motion, past few decades have witnessed a rapid increase in research clinical use fNIRS variety psychiatric disorders. In this perspective article, we first briefly summarize state-of-the-art concerning psychiatry. particular, highlight diverse applications research, advanced development instruments, novel study designs exploring We then discuss some open challenges share our perspectives on future practice. conclude that holds promise becoming useful tool settings respect developing closed-loop systems improving individualized treatments diagnostics.

Language: Английский

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