Literature DB >> 16003893

Functional near-infrared neuroimaging.

Meltem Izzetoglu1, Kurtulus Izzetoglu, Scott Bunce, Hasan Ayaz, Ajit Devaraj, Banu Onaral, Kambiz Pourrezaei.   

Abstract

Functional near-infrared spectroscopy (fNIR) is a neroimaging modality that enables continuous, noninvasive, and portable monitoring of changes in blood oxygenation and blood volume related to human brain function. Over the last decade, studies in the laboratory have established that fNIR spectroscopy provides a veridical measure of oxygenation and blood flow in the brain. Our recent findings indicate that fNIR can effectively monitor cognitive tasks such as attention, working memory, target categorization, and problem solving. These experimental outcomes compare favorably with functional magnetic resonance imaging (fMRI) studies, and in particular, with the blood oxygenation level dependent signal. Since fNIR can be implemented in the form of a wearable and minimally intrusive device, it has the capacity to monitor brain activity under real life conditions and in everyday environments. Moreover, the fNIR system is amenable to integration with other established physiological and neurobehavioral measures, including electroencephalogram, eye tracking, pupil reflex, heart rate variability, respiration, and electrodermal activity.

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Year:  2005        PMID: 16003893     DOI: 10.1109/TNSRE.2005.847377

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  33 in total

1.  Web-enabled and improved software tools and data are needed to measure nutrient intakes and physical activity for personalized health research.

Authors:  Phyllis J Stumbo; Rick Weiss; John W Newman; Jean A Pennington; Katherine L Tucker; Paddy L Wiesenfeld; Anne-Kathrin Illner; David M Klurfeld; Jim Kaput
Journal:  J Nutr       Date:  2010-10-27       Impact factor: 4.798

2.  Extraction of cognitive activity-related waveforms from functional near-infrared spectroscopy signals.

Authors:  Ceyhun Burak Akgül; Ata Akin; Bülent Sankur
Journal:  Med Biol Eng Comput       Date:  2006-10-24       Impact factor: 2.602

Review 3.  Brain-mapping techniques for evaluating poststroke recovery and rehabilitation: a review.

Authors:  James C Eliassen; Erin L Boespflug; Martine Lamy; Jane Allendorfer; Wen-Jang Chu; Jerzy P Szaflarski
Journal:  Top Stroke Rehabil       Date:  2008 Sep-Oct       Impact factor: 2.119

4.  Effects of Processing Methods on fNIRS Signals Assessed During Active Walking Tasks in Older Adults.

Authors:  Meltem Izzetoglu; Roee Holtzer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-02-12       Impact factor: 3.802

5.  Linking trait-based phenotypes to prefrontal cortex activation during inhibitory control.

Authors:  Achala H Rodrigo; Stefano I Di Domenico; Bryanna Graves; Jaeger Lam; Hasan Ayaz; R Michael Bagby; Anthony C Ruocco
Journal:  Soc Cogn Affect Neurosci       Date:  2015-07-10       Impact factor: 3.436

6.  Wearable near-infrared optical probe for continuous monitoring during breast cancer neoadjuvant chemotherapy infusions.

Authors:  Fei Teng; Timothy Cormier; Alexis Sauer-Budge; Rachita Chaudhury; Vivian Pera; Raeef Istfan; David Chargin; Samuel Brookfield; Naomi Yu Ko; Darren M Roblyer
Journal:  J Biomed Opt       Date:  2017-01-01       Impact factor: 3.170

7.  The effect of diabetes on prefrontal cortex activation patterns during active walking in older adults.

Authors:  Roee Holtzer; Claudene J George; Meltem Izzetoglu; Cuiling Wang
Journal:  Brain Cogn       Date:  2018-05-25       Impact factor: 2.310

Review 8.  Neuroimaging of mobility in aging: a targeted review.

Authors:  Roee Holtzer; Noah Epstein; Jeannette R Mahoney; Meltem Izzetoglu; Helena M Blumen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-04-16       Impact factor: 6.053

9.  Graph theoretical approach to functional connectivity in prefrontal cortex via fNIRS.

Authors:  Zahra Einalou; Keivan Maghooli; Seyaed Kamaledin Setarehdan; Ata Akin
Journal:  Neurophotonics       Date:  2017-08-21       Impact factor: 3.593

10.  Motion artifact cancellation in NIR spectroscopy using discrete Kalman filtering.

Authors:  Meltem Izzetoglu; Prabhakar Chitrapu; Scott Bunce; Banu Onaral
Journal:  Biomed Eng Online       Date:  2010-03-09       Impact factor: 2.819

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