A Novel NIRS Index to Evaluate Brain Activity in Prefrontal Regions While Listening to First and Second Languages for Long Time Periods
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
A Novel NIRS Index to Evaluate Brain Activity in Prefrontal Regions While Listening to First and Second Languages for Long Time Periods

Authors: Kensho Takahashi, Ko Watanabe, Takashi Kaburagi, Hiroshi Tanaka, Kajiro Watanabe, Yosuke Kurihara

Abstract:

Near-infrared spectroscopy (NIRS) has been widely used as a non-invasive method to measure brain activity, but it is corrupted by baseline drift noise. Here we present a method to measure regional cerebral blood flow as a derivative of NIRS output. We investigate whether, when listening to languages, blood flow can reasonably localize and represent regional brain activity or not. The prefrontal blood flow distribution pattern when advanced second-language listeners listened to a second language (L2) was most similar to that when listening to their first language (L1) among the patterns of mean and standard deviation. In experiments with 25 healthy subjects, the maximum blood flow was localized to the left BA46 of advanced listeners. The blood flow presented is robust to baseline drift and stably localizes regional brain activity.

Keywords: NIRS, oxy-hemoglobin, baseline drift, blood flow, working memory, BA46, first language, second language.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1099537

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2283

References:


[1] Allison, B., Luth, T., Valbuena, D., Teymourian, A., Volosyak, I., & Graser, A. (2010). BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?, IEEE Trans. on Neural Systems and Rehabilitation Engineering, 18-2, 107-116
[2] Baddeley, A.D., & Hitch, G.J. (1974). Working Memory. In G.A. Bower (Ed.). Recent Advances in learning and Motivation, 8, 47-89, New York: Academic Press.
[3] Baddeley, A.D. (1986). Working Memory, New York: Oxford University Press.
[4] Baddeley, A.D. (1992). Working Memory, Science, 255, 556-559.
[5] Baddeley, A.D. (2000). The Episodic Buffer: A New Component of Working Memory?, Trends in Cognitive Sciences, 4-11, 417–423
[6] Baddeley, A.D. (2002). Is Working Memory Still Working?, European Psychologist, 7, 85-97
[7] Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity, Behavioral and Brain Sciences, 24, 87-185
[8] Dieler, A.C., Tupak, S.V., & Fallgatter, A.J. (2012). Functional near-infrared spectroscopy for the assessment of speech related tasks, Brain and Language 121, 90–109
[9] Federmeier, K.D., Kutas, M., & Schul, R. (2010). Age-related and individual differences in the use of prediction during language comprehension, Brain and Language 115, 149–161
[10] Falk, T. H., Guirgis, M., Power, S., & Chau, T.T. (2011). Taking NIRS-BCIs Outside the Lab: Towards Achieving Robustness Against Environment Noise, IEEE Trans. on Neural Systems and Rehabilitation Engineering, 19-2, 136-146
[11] Gallagher, A., Beland, R., & Lassonde, M. (2012). The contribution of functional near-infrared spectroscopy (fNIRS) to the presurgical assessment of language function in children, Brain and Language 121, 124–129
[12] Hohlfeld, A., Mierke, K., & Sommer, W. (2004). Is word perception in a second language more vulnerable than in one’s native language? Evidence from brain potentials in a dual task setting, Brain and Language 89 569–579
[13] Jackendoff, R. (2002). Foundations of Language: Brain, Meaning, Grammar, Evolution, Oxford: OUP
[14] Jia C., Gao, X., Hong, B., & Gao, S. (2011). Frequency and Phase Mixed Coding in SSVEP-Based Brain–Computer Interface, IEEE Trans. on Biomedical Engineering, 58-1, 200-206
[15] Kahlaoui, K. Vlasblom, V., Lesage, F., Senhadji, N., Benali, H., & Joanette, Y. (2007). Semantic processing of words in the aging brain: A Near-Infrared Spectroscopy (NIRS) study, Brain and Language 103, 8–249
[16] Kahlaoui, K., Di Sante, G., Barbeau, J., Mahheux, M., Lesage, F., Ska, B., & Joanete, Y. (2012). Contribution of NIRS to the study of prefrontal cortex for verbal fluency in aging, Brain and Language 121, 164–173
[17] Kinno, R., Muragaki, Y., Hori, T., Maruyama, T., Kawamura, M., & Sasaki, K. (2009). Agrammatic comprehension caused by a glioma in the left frontal cortex, Brain and Language 110, 71–80
[18] Koizumi, K., Ymashita, Y., Maki, A., Yamamoto, T., Ito, Y., Itagaki, H., & Kennan, R. (1999). Higher-order brain function analysis by trans-cranial dynamic near-infrared spectroscopy imaging, J. Biomed. Opt. 4, 403-413
[19] Koizumi, H., Yamamoto, T., Maki, A., Yamashita, Y., Sato, H., Kawaguchi, H., & Ichikawa, N. (2003). Optical topography: practical problems and new applications, Appl. Opt. 42, 3054-3062
[20] Kondo, H., Morishita, M., Osaka, N., Osaka, M., Fukuyama, H., & Shibasaki, H. (2004). Functional roles of the cingulo-frontal network in performance on working memory, NeuroImage 21, 2 – 14
[21] Lidzba, K., Schwilling, E., Grodd, W., Krägeloh-Mann, I., & Wilke, M. (2011). Language comprehension vs. language production: Age effects on fMRI activation, Brain and Language 119, 6–15
[22] Maki, A., Yamashita, Y., Ito, Y., Watanabe, E., Mayanagi, Y., & Koizumi, H. (1995), Spatial and temporal analysis of human motor activity using noninvasive NIR topography, Med. Phys. 22, 1997-2005
[23] Mayberry, R.I., Chen, J. K., Witcher, P., & Klein, D. (2011). Age of acquisition effects on the functional organization of language in the adult brain, Brain and Language 119, 16–29
[24] Mayberry, R.I., Chen, J. K., Witcher, P., & Klein, D (2012). Syntactic processing in bilinguals: An fNIRS study, Brain and Language 121, 144–151
[25] Miller, G.A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information, Psychological Review, 63, 81-97
[26] Momo, K., Sakai, H., & Sakai, K. (2008). Syntax in a native language still continues to develop in adults: Honorification judgment in Japanese, Brain & Language 107. 81–89
[27] Osaka, M., Nishizaki Y., & Komori, M. (2002). Effect of focus on verbal working memory: Critical role of the focus word in reading, Memory & Cognition, 30 (4), 562-571
[28] Osaka, N., & Osaka, M. (2002). Individual differences in working memory during reading with and without Parafoveal information: a moving-window study, American Journal of Psychology, 115(4) , 501-513
[29] Osaka, M., Osaka, N., Kondo, H., Morishita, M., Fukuyama, H. Aso, T., & Shibasaki, H. (2003). The neural basis of individual differences in working memory capacity: an fMRI study, NeuroImage 18 , 789–797
[30] Osaka, N., Osaka, M., Kondo, H., Morishita, M., Fukuyama, H., & Shibasaki, H. (2004), The neural basis of executive function in working memory: an fMRI study based on individual differences, NeuroImage 21, 623–631
[31] Pettio, L.A., Berens, M.S., Kovelman, I., Dubins, M.H., Jasinska, K., & Shalinsky, M. (2012). The “Perceptual Wedge Hypothesis” as the basis for bilingual babies’ phonetic processing advantage: New insights from fNIRS brain imaging, Brain and Language 121, 130–143
[32] Quaresima, V., Biscinti, S., & Ferrari, M. (2012). A brief review on the use of functional near-infrared spectroscopy (fNIRS) for language imaging studies in human newborns and adults, Brain and Language 121, 79–89
[33] Rossi, S., Telkemeyer, S., Wartenburger, I., & Obrig, H. (2012). Shedding light on words and sentences: Near-infrared spectroscopy in language research, Brain and Language 121, 152–163
[34] Sawan, M., Salam, M. T., Le Lan, J. Kassab, A., Gélinas, S., Vannasing, P., Lesage, F., Lassonde, M., and Nguyen, D.K. (2013). Wireless Recording Systems: From Noninvasive EEG-NIRS to Invasive EEG Devices, IEEE Trans. on Biomedical Circuits and Systems, 7-2, 186-195
[35] Scherer, L.C., Ska, B, Giroux, F., Lesage, F., Senhadji, N., Marcotte, K., Tomitch, L.M.B., Benali, H., & Joanette, Y. (2007). Discourse comprehension in successful aging: A NIRS study, Brain and Language 103, 8–249
[36] Scherer L.C., Fonseca, R.P., Paz, R., Giroux, F., Senhadji, N., Marcotte, K., Tomitch, L.M.B., Benali, H., Lesage, F., Ska, R., & Joanette, Y. (2012). Neurofunctional (re)organization underlying narrative discourse processing in aging: Evidence from fNIRS, Brain and Language 121, 174–184
[37] Son, I-Y., & Yazici, B. (2006). Near Infrared Imaging and Spectroscopy for Brain Activity Monitoring, Advances in Sensing with Security Applications NATO Security through Science Series-A; Chemistry and Biology (Edited by Jim Byrnes) Springer pp.341 -372
[38] Stromswold, K., Caplan, D., Alpert, N., & Rauch, S. (1996). Localization of Syntactic Comprehension by Positron Emission Tomography, Brain and Language 52, 452–473
[39] Timmer, K., Vahid-Gharavi, N., & Schiller, N.O. (2012). Reading aloud in Persian: ERP evidence for an early locus of the masked onset priming effect, Brain and Language 122, 34–41
[40] Veroude, K., Norris, D.G., Shumskaya, E., Gullberg, M., & Indefrey, P. (2010). Functional connectivity between brain regions involved in learning words of a new language, Brain and Language 113, 21–27
[41] Volosyak, I., Valbuena, D., Luth , T., Malechka, T., & Graser, A. (2011). BCI Demographics II: How Many (and What Kinds of) People Can Use a High-Frequency SSVEP BCI?, IEEE Trans. on Neural Systems and Rehabilitation Engineering, 19-3, 232-239
[42] Weber-Fox, C., Hart, L.J., & Spruill III, J.E. (2006). Effects of grammatical categories on children’s visual language processing: Evidence from event-related brain potentials, Brain and Language 98, 26–39
[43] Wolff, S., Schlesewsky, M., Hirotani, M., & Bornkessel-Schlesewsky, I. (2008). The neural mechanisms of word order processing revisited: Electrophysiological evidence from Japanese, Brain and Language 107, 133–157
[44] Yamashita, Y., Maki, A., Ito, Y., Watanabe, E., Mayanagi, Y., & Koizumi, H. (1996). Noninvasive near-infrared topography of human brain activity using intensity modulation spectroscopy, Opt. Eng. 35, 1046-1099
[45] Zhang Y., Zhou, G., Jin, J., Wang, M., Wang, X., & Cichocki, A. (2013). L1-Regularized Multi-way Canonical Correlation Analysis for SSVEP-Based BCI, IEEE Trans. on Neural Systems and Rehabilitation Engineering, 21-6, 887-896