Loss of functional hemispheric asymmetry in Alzheimer's dementia assessed with near-infrared spectroscopy

Fallgatter, Andreas J.; Roesler, Michael; Sitzmann, Ludwig; Heidrich, A.; Mueller, Th.; Strik, Werner

doi:10.1016/s0926-6410(97)00016-5

Cited by 130 publications

(85 citation statements)

References 40 publications

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“…Right frontal activation during testing of continuous performance also has been reported. 40 These studies' determined HbO and HbR timecourse changes in the relevant activated cerebral cortices are consistent with the present results; that is, during cortical activation, HbO increases and HbR decreases.…”

Section: Introductionsupporting

confidence: 92%

Detection of primary RGB colors projected on a screen using fNIRS

Liu

Hong

2017

J. Innov. Opt. Health Sci.

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In this study, functional near-infrared spectroscopy (fNIRS) is utilized to measure the hemodynamic responses (HRs) in the visual cortex of 14 subjects (aged 22-34 years) viewing the primary red, green, and blue (RGB) colors displayed on a white screen by a beam projector. The spatiotemporal characteristics of their oxygenated and deoxygenated hemoglobins (HbO and HbR) in the visual cortex are measured using a 15-source and 15-detector optode con¯guration. To see whether the activation maps upon RGB-color stimuli can be distinguished or not, the t-values of individual channels are averaged over 14 subjects. To¯nd the best combination of two features for classi¯cation, the HRs of activated channels are averaged over nine trials. The HbO mean, peak, slope, skewness and kurtosis values during 2-7 s window for a given 10 s stimulation period are analyzed. Finally, the linear discriminant analysis (LDA) for classifying three classes is applied. Individually, the best classi¯cation accuracy obtained with slope-skewness features was 74.07% (Subject 1), whereas the best overall over 14 subjects was 55.29% with peak-skewness combination. Noting that the chance level of 3-class classi¯cation is 33.33%, it can be said that RGB colors can be distinguished. The overall results reveal that fNIRS can be used for monitoring purposes of the HR patterns in the human visual cortex.

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Section: Introductionsupporting

confidence: 92%

Detection of primary RGB colors projected on a screen using fNIRS

Liu

Hong

2017

J. Innov. Opt. Health Sci.

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“…Second the increase in relative change in HbT was greatest when the participants performed the task DP-F with their left (non-dominant) hand, which suggests an increase in blood flow to support the increase in cognitive load to process the complex stimuli. The result of increases in cerebral blood flow to support the increased cognitive load to process the complex stimuli is similar to the result reported by fMRI (Binder et al, 1997), PET (Baker et al, 1996) and NIRS (Esposito et al, 1995;Fallgatter et al, 1997) studies.…”

Section: Resultssupporting

confidence: 85%

“…Some of the many applications (sample references listed) of NIRS to neuroimaging include: (i) cerebral response to visual Meek et al, 1995;Ruben et al, 1997), auditory (Sakatani et al, 1998) and somatosensory stimuli (Franceschini et al, 2003); (ii) cerebral response to motor system (Colier et al, 1999;Hirth et al, 1996;Schwartz et al, 2005) and language (Sato et al, 1999); and (iii) prevention and treatment of seizures (Adelson et al, 1999;Sokol et al, 2000;Steinhoff et al, 2005;Watanabe et al, 2000) and psychiatric concerns such as depression (Eschweiler et al, 2000;Matsuo et al, 2000;Okada et al, 1996), Alzheimer disease (Fallgatter et al, 1997;Hanlon et al, 1999;Hock et al, 1996) and schizophrenia Okada et al, 2004), as well as stroke rehabilitation (Chen et al, 2000;Nemoto et al, 2000;Saitou et al, 2000;Vernieri et al, 1999); (iv) detection of brain ischemia (Kuebler et al, 1998;Patel et al, 1998), necrosis, and hemorrhage (Yodh et al, 2003). During my doctoral work, NIRS was implemented to investigate the neural basis of language, joint attention and planning and execution of motor skills in healthy adults, as described below in section 2.4.…”

Section: Near Infrared Spectroscopy Of Brain: Signal Analysismentioning

confidence: 99%

Funtional Near Infrared Spectroscopy Study of Language, Joint Attention and Motor Skills

Chaudhary¹

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“…They have employed the technique to study cerebral response to visual Ruben et al, 1997), auditory (Sakatani et al, 1999), and somatosensory Obrig et al, 1996) stimuli; other areas of investigation have included the motor system (Colier et al, 1999;Hirth et al, 1996;Kleinschmidt et al, 1996) and language (Sato et al, 1999). Still other researchers have addressed the prevention and treatment of seizures (Adelson et al, 1999;Sokol et al, 2000;Steinhoff et al, 1996;Watanabe et al, 2000) and psychiatric concerns such as depression (Eschweiler et al, 2000;Matsuo et al, 2000;Okada et al, 1996b), Alzheimer disease (Fallgatter et al, 1997;Hanlon et al, 1999;Hock et al, 1996), and schizophrenia (Fallgatter and Strik, 2000;Okada et al, 1994), as well as stroke rehabilitation (Chen et al, 2000;Nemoto et al, 2000;Saitou et al, 2000;Vernieri et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

2004

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Near-infrared spectroscopy (NIRS) and diffuse optical imaging (DOI) are finding widespread application in the study of human brain activation, motivating further application-specific development of the technology. NIRS and DOI offer the potential to quantify changes in deoxyhemoglobin (HbR) and total hemoglobin (HbT) concentration, thus enabling distinction of oxygen consumption and blood flow changes during brain activation. While the techniques implemented presently provide important results for cognition and the neurosciences through their relative measures of HbR and HbT concentrations, there is much to be done to improve sensitivity, accuracy, and resolution. In this paper, we review the advances currently being made and issues to consider for improving optical image quality. These include the optimal selection of wavelengths to minimize random and systematic error propagation in the calculation of the hemoglobin concentrations, the filtering of systemic physiological signal clutter to improve sensitivity to the hemodynamic response to brain activation, the implementation of overlapping measurements to improve image spatial resolution and uniformity, and the utilization of spatial prior information from structural and functional MRI to reduce DOI partial volume error and improve image quantitative accuracy. D 2004 Elsevier Inc. All rights reserved.

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Loss of functional hemispheric asymmetry in Alzheimer's dementia assessed with near-infrared spectroscopy

Cited by 130 publications

References 40 publications

Detection of primary RGB colors projected on a screen using fNIRS

Detection of primary RGB colors projected on a screen using fNIRS

Funtional Near Infrared Spectroscopy Study of Language, Joint Attention and Motor Skills

Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy

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