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functional near-infrared spectroscopy in non-invasive neuromodulation

Neural Regeneration Research 2024年第7期19卷 1517-1522页

作者： Congcong Huo Gongcheng Xu Hui Xie Tiandi Chen Guangjian Shao Jue Wang Wenhao Li Daifa Wang Zengyong Li Beijing Advanced Innovation Center for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability National Research Center for Rehabilitation Technical AidsBeijingChina School of Mechatronic Engineering and Automation Foshan UniversityFoshanGuangdong ProvinceChina School of Rehabilitation Engineering Beijing College of Social AdministrationBeijingChina Key Laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs BeijingChina

Non-invasive cerebral neuromodulation technologies are essential for the reorganization of cerebral neural networks,which have been widely applied in the field of central neurological diseases,such as stroke,Parkinson’s disease,and mental *** significant advances have been made in neuromodulation technologies,the identification of optimal neurostimulation paramete rs including the co rtical target,duration,and inhibition or excitation pattern is still limited due to the lack of guidance for neural *** r,the neural mechanism unde rlying neuromodulation for improved behavioral performance remains poorly ***,advancements in neuroimaging have provided insight into neuromodulation *** near-infrared spectroscopy,as a novel non-invasive optical brain imaging method,can detect brain activity by measuring cerebral hemodynamics with the advantages of portability,high motion tole rance,and anti-electromagnetic *** functional near-infra red spectroscopy with neuromodulation technologies offe rs an opportunity to monitor the cortical response,provide realtime feedbac k,and establish a closed-loop strategy integrating evaluation,feedbac k,and intervention for neurostimulation,which provides a theoretical basis for development of individualized precise neuro *** aimed to summarize the advantages of functional near-infra red spectroscopy and provide an ove rview of the current research on functional near-infrared spectroscopy in transcranial magnetic stimulation,transcranial electrical stimulation,neurofeedback,and braincomputer ***,the future perspectives and directions for the application of functional near-infrared spectroscopy in neuromodulation are *** conclusion,functional near-infrared spectroscopy combined with neuromodulation may promote the optimization of central pellral reorganization to achieve better functional recovery form central nervous system

关键词： brain-computer interface cerebral neural networks functional near-infrared spectroscopy neural circuit neurofeedback neurological diseases neuromodulation non-invasive brain stimulation transcranial electrical stimulation transcranial electrical stimulation

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functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potentialinducing periodic facial expression stimuli presentation

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Visual Computing for Industry,Biomedicine,and Art 2020年第1期3卷 321-328页

作者： Meng-Yun Wang Anzhe Yuan Juan Zhang Yutao Xiang Zhen Yuan Faculty of Health Sciences University of MacaoTaipaMacao SAR 999078China Centre for Cognitive and Brain Sciences University of MacaoTaipaMacao SAR 999078China Eastside High School 1201 SE 43rd StreetGainesvilleFL 32641USA Faculty of Education University of MacaoTaipaMacao SAR 999078China

Brain oscillations are vital to cognitive functions,while disrupted oscillatory activity is linked to various brain *** high-frequency neural oscillations(>1 Hz)have been extensively studied in cognition,the neural mechanisms underlying low-frequency hemodynamic oscillations(LFHO)functional near-infrared spectroscopy(fNIRS),in which hemodynamic responses in the prefrontal cortex were recorded while participants were passively viewing dynamic FEs flickering at 0.2 *** fast Fourier analysis results demonstrated that the power exhibited monochronic peaks at 0.2 Hz across all channels,indicating that the periodic events successfully elicited LFHO in the prefrontal *** importantly,measurement of LFHO can effectively distinguish the brain activation difference between different cognitive conditions,with happy FE presentation showing greater LFHO power than neutral FE *** results demonstrate that stimuli flashing at a given frequency can induce LFHO in the prefrontal cortex,which provides new insights into the cognitive mechanisms involved in slow oscillation.

关键词： Steady state visual evoked potentials Dynamic facial expressions functional near-infrared spectroscopy Brain oscillation

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Effect of head model on Monte Carlo modeling of spatial sensitivity distribution for functional near-infrared spectroscopy

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Journal of Innovative Optical Health Sciences 2015年第5期8卷 77-85页

作者： Ting Li Yan Li Yunlong Sun Meixue Duan Liyuan Peng State Key Lab Elect Thin Film&Integrated Device and Department of Biomedical Engineering University of Electronic Science&Technology of ChinaChengdu 610054P.R.China Design Department No.2 Avic Beijing Keeven Aviation Instrument Co.LtdBeijing 100086P.R.China

Modeling Light propagation within human head to deduce spatial sensitivity distribution(SSD)is important for near-infrared spectroscopy(NIRS)/imaging(NIRI)and diffuse correlation *** of head models have been used on this issue,including layered head model,artificial simplified head model,MRI slices described head model,and visible human head ***,visible Chinese human(VCH)head model is considered to be a most faithful presentation of anatomical structure,and has been highlighted to be employed in modeling light ***,it is not practical for all researchers to use VCH head models and actually increasing number of people are using magnet resonance imaging(MRI)head ***,all the above head models were simulated and compared,and we focused on the effect of using di®erent head models on predictions of *** results were in line with the previous reports on the effect of cerebral cortex folding ***,the in fluence on SSD increases with thefidelity of head *** surprisingly,the SSD percentages in scalp and gray matter(region of interest)in MRI head model were found to be 80%and 125%higher than in VCH head *** head models induced nonignorable discrepancy in SSD estimation when compared with VCH head *** study,as we believe,is the first to focus on comparison among full serials of head model on estimating SSD,and provided quantitative evidence for MRI head model users to calibrate their SSD estimation.

关键词： Visible chinese human functional near-infrared spectroscopy Monte Carlo simulation head model spatial sensitivity distribution

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Correlation between LIFG and Autonomic Activation during Stressful Tasks:A functional near-infrared spectroscopy (fNIRS) Study

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Journal of Huazhong University of Science and Technology(Medical Sciences) 2014年第5期34卷 663-671页

作者：史洁酒谷薰冈本雅子山口由衣左焕琮 Department of Neurology Yuquan HospitalTsinghua University School of Medicine Department of Neurosurgery Division of Optical Brain EngineeringNihon University School of Medicine Collaboration Promotion Department Shimadzu Corporation Department of Neurosurgery Yuquan HospitalTsinghua University School of Medicine

It remains unclear whether language tasks in one＇s first （L1） or second （L2） language can cause stress responses and whether frontal, autonomic and behavioral responses to stressful tasks are correlated. In this study, we studied 22 Chinese subjects whose L2 was English and measured the cerebral blood oxygenation in their frontal lobe by using functional near-infrared spectroscopy （fNIRS） as par- ticipants engaged in a mental arithmetic task （MAT） and verbal fluency tasks （VFTs） in L1 （Chinese） and L2 （English）. To examine the activated cortical areas, we estimated the channel location based on Montreal Neurological Institute （MNI） standard brain space by using a-probabilistic estimation method. We evaluated heart rate （HR） changes to analyze autonomic nervous system （ANS） functioning. We found that the MAT and VFTs induced greater increases in HR than did the control （Ctrl） task. Further- more, subjects developed greater increases in HR in the MAT and VFTt~ than they did in the VFTL1. Compared with the Ctrl task, the MAT and both VFTLland VFTL2 produced robust and widespread bi- lateral activation of the frontal cortex. Interestingly, partial correlation analysis indicated that the activity in the left inferior frontal gyrus （LIFG） [Brodmarm＇s area （BA） 47] was consistently correlated with the increases in HR across the three tasks （MAT, VFTL2, and VFTL1）, after controlling for the performance data. The present results suggested that a VFT in L2 may be more stressful than in L1. The LIFG may affect the activation of the sympathetic system induced by stressful tasks, includin~ MATs and VFTs.

关键词： functional near-infrared spectroscopy mental arithmetic task verbal fluency task auto-nomic nervous system inferior frontal gyrus

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Research progress of functional near-infrared spectroscopy in patients with psychiatric disorders

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Forensic Sciences Research 2021年第2期6卷 141-147页

作者： Fan Chang Haozhe Li Shengyu Zhang Chen Chen Chao Liu Weixiong Cai Shanghai Key Lab of Forensic Medicine Key Lab of Forensic ScienceMinistry of JusticeShanghai Forensic Service PlatformAcademy of Forensic ScienceShanghaiChina School of Mental Health Wenzhou Medical UniversityWenzhouChina

functional near-infrared spectroscopy(fNIRS)is a technique of detecting cerebral cortical function by using near-infrared light,which is a multifunctional neuroimaging technique and provides a convenient and efficient detection method in *** consideration of acceptability,safety,high spatial and temporal resolutions compared with electroencephalogram(EEG)and functional magnetic resonance imaging(fMRI),fNIRS is widely used to study different psychiatric disorders,most prominently affective disorders,schizophrenic illnesses,brain organic mental disorders and neurodevelopmental disorders,*** article focuses on the latest research progress and practical application of fNIRS in psychiatric disorders,especially traumatic brain,including studies on the characterization of phenomenology,treatment effects and descriptions of neuroimaging data.

关键词： Forensic sciences psychiatric disorder functional near-infrared spectroscopy traumatic brain injury

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Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy

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Journal of Innovative Optical Health Sciences 2023年第6期16卷 53-67页

作者： Xuzhe Zhang Kehong Long Ningxin Wang Jin Zhang Hao Lei State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences WuhanHubeiP.R.China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan HubeiP.R.China University of Chinese Academy of Sciences BeijingP.R.China

Interactions between the central nervous system(CNS)and autonomic nervous system(ANS)play a crucial role in modulating perception,cognition,and emotion *** studies on CNS–ANS interactions,or heart–brain coupling,have often used heart rate variability(HRV)metrics derived from electrocardiography(ECG)recordings as empirical measurements of sympathetic and parasympathetic *** near-infrared spectroscopy(fNIRS)is a functional brain imaging modality that is increasingly used in brain and cognition *** fNIRS signals contain frequency bands representing both neural activity oscillations and heartbeat ***,fNIRS data acquired in neuroimaging studies can potentially provide a single-modality approach to measure task-induced responses in the brain and ANS synchronously,allowing analysis of CNS–ANS *** this proof-of-concept study,fNIRS was used to record hemodynamic changes from the foreheads of 20 university students as they each played a round of multiplayer online battle arena(MOBA)*** the fNIRS recordings,neural and heartbeat frequency bands were extracted to assess prefrontal activities and shortterm pulse rate variability(PRV),an approximation for short-term HRV,*** the experimental conditions used,fNIRS-derived PRV metrics showed good correlations with ECG-derived HRV golden standards,in terms of absolute measurements and video game playing(VGP)-related *** was also observed that,similar to previous studies on physical activity and exercise,the PRV metrics closely related to parasympathetic activities recovered slower than the PRV indicators of sympathetic activities after *** is concluded that it is feasible to use fNIRS to monitor concurrent brain and ANS activations during online VGP,facilitating the understanding of VGP-related heart–brain coupling.

关键词： Heart rate variability pulse rate variability functional near-infrared spectroscopy video game prefrontal cortex heart–brain coupling

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Epileptic brain network mechanisms and neuroimaging techniques for the brain network

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Neural Regeneration Research 2024年第12期19卷 2637-2648页

作者： Yi Guo Zhonghua Lin Zhen Fan Xin Tian Department of Neurology Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Sichuan Provincial Center for Mental Health Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Geriatrics Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Neurology Chongqing Key Laboratory of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina

Epilepsy can be defined as a dysfunction of the brain network,and each type of epilepsy involves different brain-network changes that are implicated diffe rently in the control and propagation of interictal or ictal *** more detailed information on brain network alterations can help us to further understand the mechanisms of epilepsy and pave the way for brain network-based precise therapeutic approaches in clinical *** increasing number of advanced neuroimaging techniques and electrophysiological techniques such as diffusion tensor imaging-based fiber tra ctography,diffusion kurtosis imaging-based fiber tractography,fiber ball imagingbased tra ctography,electroencephalography,functional magnetic resonance imaging,magnetoencephalography,positron emission tomography,molecular imaging,and functional ultrasound imaging have been extensively used to delineate epileptic *** this review,we summarize the relevant neuroimaging and neuroelectrophysiological techniques for assessing structural and functional brain networks in patients with epilepsy,and extensively analyze the imaging mechanisms,advantages,limitations,and clinical application ranges of each technique.A greater focus on emerging advanced technologies,new data analysis software,a combination of multiple techniques,and the construction of personalized virtual epilepsy models can provide a theoretical basis to better understand the brain network mechanisms of epilepsy and make surgical decisions.

关键词： electrophysiological techniques epilepsy functional brain network functional magnetic resonance imaging functional near-infrared spectroscopy machine leaning molecular imaging neuroimaging techniques structural brain network virtual epileptic models

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Comparison of brain functions between healthy participants and methamphetamine users with various addiction histories:Data analysis based on EEG and fNIRS

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Journal of Innovative Optical Health Sciences 2024年第3期17卷 41-55页

作者： Xuelin Gu Xiaoou Li Banghua Yang College of Medical Instruments Shanghai University of Medicine&Health SciencesShanghai 201318P.R.China School of Mechanical and Electrical Engineering and Automation Shanghai UniversityShanghai 200444P.R.China

The electroencephalogram(EEG)rhythm and functional near-infrared spectroscopy(fNIRS)activation levels have not been compared between a healthy control group(HCG)and methamphetamine user group(MUG)with different addiction *** study used 64-electrode EEG and fNIRS to conduct an experiment that analyzed the resting and craving *** EEG and fNIRS data of 56 participants were collected,including 14 healthy participants,14 methamphetamine users with an addiction history of 0.5–5 years,14 users with an addiction history of 5–10 years,and 14 users with an addiction history of 10–15 *** effective coherence(iCoh)within the brain network was used to process the EEG *** analysis was performed to compare differences in iCoh among the delta,theta,alpha,beta,and gamma bands and explore oxyhemoglobin activation levels in the ventrolateral prefrontal cortex,dorsolateral prefrontal cortex,orbitofrontal cortex,and frontopolar prefrontal cortex(FPC)of the control ***,the Kmeans,Gaussian mixed model(GMM),linear discriminant analysis(LDA),support vector machine(SVM),Bayes,and convolutional neural networks(CNN)algorithms were used to classify methamphetamine users based on drug and neutral images.A 3-class accuracy was *** in EEG and fNIRS activation levels of HCG and MUG with varied addiction histories were demonstrated.

关键词： Drug addiction history electroencephalogram functional near-infrared spectroscopy isolated effective coherence addiction history classification

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THE EVOLUTION OF FIELD DEPLOYABLE fNIR spectroscopy FROM BENCH TO CLINICAL SETTINGS

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Journal of Innovative Optical Health Sciences 2011年第3期4卷 239-250页

作者： KURTULUS IZZETOGLU HASAN AYAZ ANNA MERZAGORA MELTEM IZZETOGLU PATRICIA ASHEWOKIS SCOTT CBUNCE KAMBIZ POURREZAEI ARYE ROSEN BANU ONARAL School of Biomedical Engineering Science&Health Systems 3141 Chestnut Street PhiladelphiaPA 19104USA College of Nursing and Health Professions Drexel University PhiladelphiaPAUSA Center for Emerging Neurotechnology and Imaging&Department of Psychiatry Penn State College of Medicine HersheyPAUSA

In the late 1980s and early 1990s,*** Chance and his colleagues,using picosecond-long laser pulses,spearheaded the development of time-resolved spectroscopy techniques in an effort to obtain quantitative information about the optical characteristics of the *** efforts by Chance and colleagues expedited the translation of near-infrared spectroscopy(NIRS)-based techniques into a neuroimaging modality for various cognitive *** in the early 2000s,*** Chance guided and steered the collaboration with the Optical Brain Imaging team at Drexel University toward the development and application of afield deployable continuous wave functional near-infrared spectroscopy(fNIR)system as a means to monitor cognitive functions,particularly during attention and working memory tasks as well as for complex tasks such as war games and air tra±c control scenarios performed by healthy volunteers under operational ***,these collaborative efforts led to various clinical applications,including traumatic brain injury,depth of anesthesia monitoring,pediatric pain assessment,and braincomputer interface in *** this paper,we introduce how these collaborative studies have made fNIR an excellent candidate for specified clinical and research applications,including repeated cortical neuroimaging,bedside or home monitoring,the elicitation of a positive effect,and protocols requiring ecological *** paper represents a token of our gratitude to *** Chance for his influence and *** this manuscript we show our appreciation by contributing to his commemoration and through our work we will strive to advance thefield of optical brain imaging and promote his legacy.

关键词： functional near-infrared spectroscopy fNIR TBI anesthesia BCI pediatric pain

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Spinal Cord Stimulation Frequency Influences the Hemodynamic Response in Patients with Disorders of Consciousness

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Neuroscience Bulletin 2018年第4期34卷 659-667页

作者： Juanning Si Yuanyuan Dang Yujin Zhang Yaxin Li Wenyue Zhang Yi Yang Yue Cui Xiaoping Lou Jianghong He Tianzi Jiang School of Instrumentation Science and Opto-electronics Engineering Beijing Information Science and Technology University Department of Neurosurgery People's Liberation Army General Hospital Brainnetome Center Institute of Automation Chinese Academy of Sciences National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Key Laboratory for Neuro Information of the Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of China Chinese Academy of Sciences Center for Excellence in Brain Science Institute of Automation Chinese Academy of Sciences Queensland Brain Institute University of Queensland

Spinal cord stimulation （SCS） is a promising technique for treating disorders of consciousness （DOCs）. However, differences in the spatio-temporal responsiveness of the brain under varied SCS parameters remain unclear. In this pilot study, functional near-infrared spectroscopy was used to measure the hemodynamic responses of 10 DOC patients to different SCS frequencies （5 Hz, 10 Hz, 50 Hz, 70 Hz, and 100 Hz）. In the prefrontal cortex, a key area in consciousness circuits, we found significantly increased hemodynamic responses at 70 Hz and 100 Hz, and significantly different hemodynamic responses between 50 Hz and 70 Hz/100 Hz. In addition, the functional connectivity between prefrontal and occipital areas was significantly improved with SCS at 70 Hz. These results demonstrated that SCS modulates the hemodynamic responses and long-range connectivity in a frequency-specific manner （with 70 Hz apparently better）, perhaps by improving the cerebral blood volume and information transmission through the reticular formation-thalamus-cortex pathway.

关键词： Disorder of consciousness - Spinal cord stim-ulation Frequency functional near-infrared spectroscopy Hemodynamic response

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