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@article{Pollonini2014, | ||
title = {Auditory cortex activation to natural speech and simulated cochlear implant speech measured with functional near-infrared spectroscopy}, | ||
journal = {Hearing Research}, | ||
volume = {309}, | ||
pages = {84-93}, | ||
year = {2014}, | ||
issn = {0378-5955}, | ||
doi = {https://doi.org/10.1016/j.heares.2013.11.007}, | ||
author = {Luca Pollonini and Cristen Olds and Homer Abaya and Heather Bortfeld and Michael S. Beauchamp and John S. Oghalai}, | ||
abstract = {The primary goal of most cochlear implant procedures is to improve a patient's ability to discriminate speech. To accomplish this, cochlear implants are programmed so as to maximize speech understanding. However, programming a cochlear implant can be an iterative, labor-intensive process that takes place over months. In this study, we sought to determine whether functional near-infrared spectroscopy (fNIRS), a non-invasive neuroimaging method which is safe to use repeatedly and for extended periods of time, can provide an objective measure of whether a subject is hearing normal speech or distorted speech. We used a 140 channel fNIRS system to measure activation within the auditory cortex in 19 normal hearing subjects while they listed to speech with different levels of intelligibility. Custom software was developed to analyze the data and compute topographic maps from the measured changes in oxyhemoglobin and deoxyhemoglobin concentration. Normal speech reliably evoked the strongest responses within the auditory cortex. Distorted speech produced less region-specific cortical activation. Environmental sounds were used as a control, and they produced the least cortical activation. These data collected using fNIRS are consistent with the fMRI literature and thus demonstrate the feasibility of using this technique to objectively detect differences in cortical responses to speech of different intelligibility.} | ||
} | ||
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@article{Huppert2009, | ||
author = {Theodore J. Huppert and Solomon G. Diamond and Maria A. Franceschini and David A. Boas}, | ||
journal = {Appl. Opt.}, | ||
keywords = {Fourier optics and signal processing ; Medical and biological imaging; Spectroscopy; Functional monitoring and imaging ; Absorption coefficient; Brain imaging; Laser sources; Optical absorption; Optical imaging; Tissue optics}, | ||
number = {10}, | ||
pages = {D280--D298}, | ||
publisher = {Optica Publishing Group}, | ||
title = {HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain}, | ||
volume = {48}, | ||
month = {Apr}, | ||
year = {2009}, | ||
doi = {https://doi.org/10.1364/AO.48.00D280}, | ||
abstract = {Near-infrared spectroscopy (NIRS) is a noninvasive neuroimaging tool for studying evoked hemodynamic changes within the brain. By this technique, changes in the optical absorption of light are recorded over time and are used to estimate the functionally evoked changes in cerebral oxyhemoglobin and deoxyhemoglobin concentrations that result from local cerebral vascular and oxygen metabolic effects during brain activity. Over the past three decades this technology has continued to grow, and today NIRS studies have found many niche applications in the fields of psychology, physiology, and cerebral pathology. The growing popularity of this technique is in part associated with a lower cost and increased portability of NIRS equipment when compared with other imaging modalities, such as functional magnetic resonance imaging and positron emission tomography. With this increasing number of applications, new techniques for the processing, analysis, and interpretation of NIRS data are continually being developed. We review some of the time-series and functional analysis techniques that are currently used in NIRS studies, we describe the practical implementation of various signal processing techniques for removing physiological, instrumental, and motion-artifact noise from optical data, and we discuss the unique aspects of NIRS analysis in comparison with other brain imaging modalities. These methods are described within the context of the MATLAB-based graphical user interface program, HomER, which we have developed and distributed to facilitate the processing of optical functional brain data.}, | ||
url = "https://github.com/BUNPC/Homer3", | ||
} | ||
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@article{Oostenveld2001, | ||
title = {The five percent electrode system for high-resolution EEG and ERP measurements}, | ||
journal = {Clinical Neurophysiology}, | ||
volume = {112}, | ||
number = {4}, | ||
pages = {713-719}, | ||
year = {2001}, | ||
issn = {1388-2457}, | ||
doi = {https://doi.org/10.1016/S1388-2457(00)00527-7}, | ||
author = {Robert Oostenveld and Peter Praamstra}, | ||
keywords = {Electrode placement, High resolution EEG, High resolution ERP, Nomenclature}, | ||
abstract = {Objective: A system for electrode placement is described. It is designed for studies on topography and source analysis of spontaneous and evoked EEG activity. Method: The proposed system is based on the extended International 10–20 system which contains 74 electrodes, and extends this system up to 345 electrode locations. Results: The positioning and nomenclature of the electrode system is described, and a subset of locations is proposed as especially useful for modern EEG/ERP systems, often having 128 channels available. Conclusion: Similar to the extension of the 10–20 system to the 10–10 system (‘10% system’), proposed in 1985, the goal of this new extension to a 10–5 system is to further promote standardization in high-resolution EEG studies.} | ||
} |
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References | ||
========== | ||
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.. bibliography:: | ||
:all: |
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@@ -56,3 +56,4 @@ dependencies: | |
- setuptools-scm==7.1.0 | ||
- snirf==0.7.4 | ||
- pmcx | ||
- sphinxcontrib-bibtex |
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