Relationship between fluctuations in the cerebral hemoglobin oxygenation state and neuronal activity under resting conditions in man

Hoshi, Yoko; Kosaka, Shinobu; Xie, Yong; Kohri, Shunji; Tamura, Mamoru

doi:10.1016/s0304-3940(98)00197-9

Cited by 59 publications

(35 citation statements)

References 11 publications

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“…In NIRS studies, modulation of O2Hb during activation implies evoked changes of rCBF in response to neuronal activation, since changes in O2Hb are correlated with changes in rCBF. In addition, simultaneous measurements of NIRS and EEG at rest demonstrated a relationship between O2Hb change and mean EEG peak frequency (Hoshi et al., 1998). These results may suggest that changes of O2Hb concentration at rest measured by NIRS reflect neuronal activity at rest, as well as EEG resting activity.…”

Section: Discussionmentioning

confidence: 99%

“…For the reasons reported above, in addition to EEG, NIRS is particularly indicated to explore the brain activity in both resting state and active response to emotional stimuli. Moreover, NIRS and EEG measurement in a resting condition demonstrated that an increase of oxy‐hemoglobin (O2Hb) was associated with an increase in neuronal responsiveness, whereas a decrease in O2Hb was associated with a decrease in neuronal responsiveness (Butti et al., 2006; Hoshi, Kosaka, Xie, Kohri, & Tamura, 1998). Indeed, it was observed that spontaneous hemodynamic brain activity is not just random noise, but is specifically organized in the resting brain (for a review, see Fox & Raichle, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Resting state and personality component (BIS/BAS) predict the brain activity (EEG and fNIRS measure) in response to emotional cues

2017

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IntroductionThe present study explored the role of resting state and personality component (BIS/BAS measure) on prefrontal cortical responsiveness to emotional cues. Indeed, we supposed that lateralized resting activity (right vs. left) and approach (BAS) versus avoidance (BIS) attitude may explain the successive emotional processing within the prefrontal cortex (PFC) based on the stimulus valence (positive and negative emotional cues).MethodsHemodynamic (functional near‐infrared spectroscopy, fNIRS) and electroencephalographic (EEG) measures were considered. The resting and experimental brain activity were registered when subjects (N = 21) viewed emotional positive versus negative stimuli (International Affective Picture System, IAPS). LIR eeg and LIR nirs (lateralized Index Response) during resting state, and LI eeg and LI nirs during emotional processing were acquired.ResultsA set of regression analyses was applied to the multiple measures. The predictive effect of resting activity and approach/avoidance dichotomy were elucidated. Indeed, more left/right resting activity (for both LIR eeg and LIR nirs) predicted the successive more brain left/right response (LI eeg and LI nirs) to emotional cues. Second, significant effects were revealed as a function of valence (increased right response to negative stimuli; increased left response to positive stimuli) during emotion processing. Third, higher BAS values explained an increased left cortical activity in resting state and in experimental condition for positive cues. In contrast, higher BIS values marked an increased right activity in resting state and in experimental condition in response to negative cues.ConclusionThe significance of trait component for both resting and emotional cue processing was discussed at light of the present results.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resting state and personality component (BIS/BAS) predict the brain activity (EEG and fNIRS measure) in response to emotional cues

2017

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“…Spontaneous hemodynamic oscillations are present in the cerebral and extracerebral compartment (Habermehl et al, 2012b). Although there are many studies demonstrating the systemic origin of the spontaneous hemodynamic oscillations, Hoshi et al (1998) found that these oscillation are also related to neuronal brain activity. Despite the fact that the spontaneous hemodynamic oscillations (i.e.…”

Section: Classification Of Signal Componentsmentioning

confidence: 99%

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Scholkmann¹,

Kleiser²,

Metz³

et al. 2014

NeuroImage

1,469

1,487

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This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy-and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. Contents

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“…Here, the oxygenation state of hemoglobin acts as a neurophysiological index reflecting common neural activity of different brain regions. Work with near infra-red spectroscopy techniques has confirmed that this fluctuation is not specific to fMRI [58;59], and simultaneous measurement of fMRI and EEG data in subjects at rest has suggested that the oscillations arise from underlying spontaneous neuronal activity [60].…”

Section: Intrinsic Variancementioning

confidence: 99%

Assessing functional connectivity in the human brain by fMRI

Rogers

Morgan

Newton

et al. 2007

Magnetic Resonance Imaging

392

279

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Functional magnetic resonance imaging is widely used to detect and delineate regions of the brain that change their level of activation in response to specific stimuli and tasks. Simple activation maps depict only the average level of engagement of different regions within distributed systems. FMRI potentially can reveal additional information about the degree by which components of large-scale neural systems are functionally coupled together to achieve specific tasks. In order to better understand how brain regions contribute to functionally connected circuits, it is necessary to record activation maps either as a function of different conditions, at different times or in different subjects. Data obtained under different conditions may then be analyzed by a variety of techniques to infer correlations and couplings between nodes in networks. Several different multivariate statistical methods have been adapted and applied to analyze the variations within such data. An approach of particular interest that is suited to studies of connectivity within single subjects makes use of acquisitions of runs of MRI images obtained while the brain is in a so-called steady state, either at rest (i.e. without any specific stimulus or task) or in a condition of continuous activation. The interregional correlations between fluctuations of MRI signal potentially reveal functional connectivity. Recent studies have established that interregional correlations between different components of circuits in each of the visual, language, motor and working memory systems can be detected in the resting state. The correlations at baseline are changed during the performance of a continuous task. In this review the various methods available for assessing connectivity are described and evaluated.

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Relationship between fluctuations in the cerebral hemoglobin oxygenation state and neuronal activity under resting conditions in man

Cited by 59 publications

References 11 publications

Resting state and personality component (BIS/BAS) predict the brain activity (EEG and fNIRS measure) in response to emotional cues

Resting state and personality component (BIS/BAS) predict the brain activity (EEG and fNIRS measure) in response to emotional cues

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

Assessing functional connectivity in the human brain by fMRI

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