Event-related fast optical signal in a rapid object recognition task: Improving detection by the independent component analysis

Medvedev, Andrei V.; Kainerstorfer, Jana M.; Borisov, S. V.; Barbour, Randall L.; VanMeter, John W.

doi:10.1016/j.brainres.2008.07.122

Cited by 78 publications

(72 citation statements)

References 67 publications

(94 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…6), which is a number of trials commonly used in the ERP studies. This result again demonstrates a relative reliability of fast optical signals, provided that adequate tools for artifact removal such as ICA 32 or adaptive filtering 37,38 are used. EROS waveforms in all subjects were almost identical for wavelengths both shorter (690 nm) and longer (830 nm) than the isosbestic point of hemoglobin.…”

Section: Discussionmentioning

confidence: 62%

“…ICA components containing mostly artifacts were identified through visual inspection and spectral analysis and removed during signal restoration, as described previously. 32 For EEG, 40 to 80 ICs, and for FOS, 3 to 6 ICs for each wavelength were removed as artifactual in each subject. An example of ICs for EEG and FOS, both containing the same cardiac artifact, is shown in Fig.…”

Section: Analysis Of Independent Components Of Fos and Eegmentioning

confidence: 99%

“…2(b). To estimate the effect of artifact removal, which was most critical for the detectability of FOS, we used weights within the ICA weight matrix (described in our previous study 32 ) "belonging" to the removed artifactual components and showing their relative contribution to the raw signals. A sum of those relative weights indicates a relative contribution of removed artifact and noise components into the total variation of the signal and was used as an estimate of noise reduction in each subject.…”

Section: Analysis Of Independent Components Of Fos and Eegmentioning

confidence: 99%

See 2 more Smart Citations

“Seeing” electroencephalogram through the skull: imaging prefrontal cortex with fast optical signal

et al. 2010

Self Cite

View full text Add to dashboard Cite

Abstract. Near-infrared spectroscopy is a novel imaging technique potentially sensitive to both brain hemodynamics (slow signal) and neuronal activity (fast optical signal, FOS). The big challenge of measuring FOS noninvasively lies in the presumably low signal-to-noise ratio. Thus, detectability of the FOS has been controversially discussed. We present reliable detection of FOS from 11 individuals concurrently with electroencephalogram (EEG) during a Go-NoGo task. Probes were placed bilaterally over prefrontal cortex. Independent component analysis (ICA) was used for artifact removal. Correlation coefficient in the best correlated FOS-EEG ICA pairs was highly significant (p < 10 − 8 ), and event-related optical signal (EROS) was found in all subjects. Several EROS components were similar to the event-related potential (ERP) components. The most robust "optical N200" at t = 225 ms coincided with the N200 ERP; both signals showed significant difference between targets and nontargets, and their timing correlated with subject's reaction time. Correlation between FOS and EEG even in single trials provides further evidence that at least some FOS components "reflect" electrical brain processes directly. The data provide evidence for the early involvement of prefrontal cortex in rapid object recognition. EROS is highly localized and can provide cost-effective imaging tools for cortical mapping of cognitive processes. C 2010 Society of Photo-Optical Instrumentation Engineers.

show abstract

Section: Discussionmentioning

confidence: 62%

Section: Analysis Of Independent Components Of Fos and Eegmentioning

confidence: 99%

Section: Analysis Of Independent Components Of Fos and Eegmentioning

confidence: 99%

See 1 more Smart Citation

“Seeing” electroencephalogram through the skull: imaging prefrontal cortex with fast optical signal

et al. 2010

Self Cite

View full text Add to dashboard Cite

show abstract

“…How to combine GLM with a Kalman estimator and to analyze fNIRI data was shown by Hu et al (2010). Methods using independent component analysis (ICA) (Akgül et al, 2006;Katura et al, 2008;Kohno et al, 2007;Markham et al, 2009;Medvedev et al, 2008;Morren et al, 2004;Schelkanova and Toronov, 2012) or principal component analysis (PCA) H. Zhang et al, 2010;H.…”

Section: Multivariate Methods Of Typementioning

confidence: 99%

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

Scholkmann¹,

Kleiser²,

Metz³

et al. 2014

NeuroImage

1,399

1,310

View full text Add to dashboard Cite

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

show abstract

“…Having a response time of ms, the speed of switching can be adjusted to meet user-assigned hemodynamics or to simulate other optical phenomena (e.g., fast signal [8]). An illustration and experimental demonstration of this modulation is shown in Fig.…”

Section: System Description and Performancementioning

confidence: 99%

A Programmable Laboratory Testbed in Support of Evaluation of Functional Brain Activation and Connectivity

Barbour

Graber

et al. 2012

IEEE Trans. Neural Syst. Rehabil. Eng.

Self Cite

View full text Add to dashboard Cite

Abstract-An important determinant of the value of quantitative neuroimaging studies is the reliability of the derived information, which is a function of the data collection conditions. Near infrared spectroscopy (NIRS) and electroencelphalography are independent sensing domains that are well suited to explore principal elements of the brain's response to neuroactivation, and whose integration supports development of compact, even wearable, systems suitable for use in open environments. In an effort to maximize the translatability and utility of such resources, we have established an experimental laboratory testbed that supports measures and analysis of simulated macroscopic bioelectric and hemodynamic responses of the brain. Principal elements of the testbed include 1) a programmable anthropomorphic head phantom containing a multisignal source array embedded within a matrix that approximates the background optical and bioelectric properties of the brain, 2) integrated translatable headgear that support multimodal studies, and 3) an integrated data analysis environment that supports anatomically based mapping of experiment-derived measures that are directly and not directly observable. Here, we present a description of system components and fabrication, an overview of the analysis environment, and findings from a representative study that document the ability to experimentally validate effective connectivity models based on NIRS tomography.

show abstract

Event-related fast optical signal in a rapid object recognition task: Improving detection by the independent component analysis

Cited by 78 publications

References 67 publications

“Seeing” electroencephalogram through the skull: imaging prefrontal cortex with fast optical signal

“Seeing” electroencephalogram through the skull: imaging prefrontal cortex with fast optical signal

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

A Programmable Laboratory Testbed in Support of Evaluation of Functional Brain Activation and Connectivity

Contact Info

Product

Resources

About