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Topographical Subcomponents of Electrical Brain Activity Allow to Identify Semantic Learning

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Abstract

We investigated the change of event-related brain activity elicited by reading meaningful or meaningless Japanese symbols in 20 healthy German adults. In a learning phase of about 20 min, subjects acquired the meaning of 20 Kanji characters. As control stimuli 20 different Kanji characters were presented. Electrical brain activity was obtained before and after learning, The mean learning performance of all subjects was 92.5% correct responses. EEG was measured simultaneously from 30 channels, artifacts were removed offline, and the data before and after learning were compared. We found five spatial principal components that accounted for 83.8% of the variance. A significant interaction between training time (before/after learning) and stimulus (learning/control) illustrates a significant relation between successful learning and topographical changes of brain activity elicited by Kanji characters. Effects that were induced by learning were seen at short latencies in the order of 100 ms. In addition, we present evidence that differences in the weighted combination of spatial components allow to identify experimental conditions successfully by linear discriminant analysis using topographical ERP data of a single time point. In conclusion, semantic meaning can be aquired rapidly and it is associated with specific changes of ERP components.

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References

  • Aberg KC, Herzog MH (2012) About similar characteristics of visual perceptual learning and LTP. Vis Res 61:100–106. doi:10.1016/j.visres.2011.12.013

    Article  PubMed  Google Scholar 

  • Balass M, Nelson JR, Perfetti CA (2010) Word learning: an ERP investigation of word experience effects on recognition and word processing. Contempor Educ Psychol 35(2):126–140. doi:10.1016/j.cedpsych.2010.04.001

    Article  Google Scholar 

  • Borovsky A, Kutas M, Elman J (2010) Learning to use words: event-related potentials index single-shot contextual word learning. Cognition 116(2):289–296

    Article  PubMed  PubMed Central  Google Scholar 

  • Brem S, Lang-Dullenkopf A, Maurer U, Halder P, Bucher K, Brandeis D (2005) Neurophysiological signs of rapidly emerging visual expertise for symbol strings. Neuroreport 16:45–48

    Article  PubMed  Google Scholar 

  • Cao F, Kim SY, Liu Y, Liu L (2014) Similarities and differences in brain activation and functional connectivity in first and second language reading: evidence from Chinese learners of English. Neuropsychologia 63:275–284. doi:10.1016/j.neuropsychologia.2014.09.001

    Article  PubMed  Google Scholar 

  • Chapman RM, McCrary JW (1995) EP component identification and measurement by principal components analysis. Brain Cognit 27(3):288–310

    Article  CAS  Google Scholar 

  • Christoffersen GR, Schachtman TR (2016) Electrophysiological CNS-processes related to associative learning in humans. Behav Brain Res 296:211–232. doi:10.1016/j.bbr.2015.09.011

    Article  PubMed  Google Scholar 

  • Cohen L, Dehaene S, Naccache L, Lehéricy S, Dehaene-Lambertz G, Hénaff MA, Michel F (2000) The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients. Brain 123(Pt 2):291–307

    Article  PubMed  Google Scholar 

  • Donchin E (1966) A multivariate approach to the analysis of average evoked potentials. IEEE Trans Biomed Eng 13:131–139

    Article  CAS  PubMed  Google Scholar 

  • Frishkoff GA, Perfetti CA, Collins-Thompson K (2010) Lexical quality in the brain: ERP evidence for robust word learning from context. Dev Neuropsychol 35:376–403. doi:10.1080/87565641.2010.480915

    Article  PubMed  PubMed Central  Google Scholar 

  • Fu S, Feng C, Guo S, Luo Y, Parasuraman R (2012) Neural adaptation provides evidence for categorical differences in processing of faces and Chinese characters: an ERP study of the N170. PLoS ONE 7(7):e41103. doi:10.1371/journal.pone.0041103

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Goto HT, Adachi T, Utsunomiya T, Chen IC (1979) Late positive component (LPC) and CNV during information processing of linguistic information. In: Lehmann D, Callaway E (eds) Human evoked potentials. Applications and problems. Plenum Press, New York, pp 121–134

    Chapter  Google Scholar 

  • Harman HH (1967) Modern factor analysis, 2nd edn. The University of Chicago Press, Chicago

    Google Scholar 

  • Hatta T, Honjoh Y, Mito H (1983) Event-related potentials and reaction times as measures of hemispheric differences for physical and semantic Kanji matching. Cortex 19(4):517–528

    Article  CAS  PubMed  Google Scholar 

  • Hayashi M, Kayamoto Y, Tanaka H, Yamada J (1998) Semantic activation by Japanese kanji: evidence from event-related potentials. Percept Mot Skills 86(2):375–382

    Article  CAS  PubMed  Google Scholar 

  • Jolliffe IT (2002) Principal component analysis, 2nd edn. Springer, New York

    Google Scholar 

  • Ludwig I, Skrandies W (2002) Human perceptual learning in the peripheral visual field: sensory thresholds and neurophysiological correlates. Biol Psychol 59:187–206

    Article  PubMed  Google Scholar 

  • Maurer U, Zevin JD, McCandliss BD (2008) Left-lateralized N170 effects of visual expertise in reading: evidence from Japanese syllabic and logographic scripts. J Cognit Neurosci 20(10):1878–1891. doi:10.1162/jocn.2008.20125

    Article  Google Scholar 

  • Oldfield RC (1971) The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9:97–113

    Article  CAS  PubMed  Google Scholar 

  • Perfetti CA, Wlotko EW (2005) Word learning and individual differences in word learning reflected in event-related potentials. J Exp Psychol Learn Mem Cognit 31(6):1281–1292. doi:10.1037/0278-7393.31.6.1281

    Article  Google Scholar 

  • Rösler F, Manzey D (1981) Principal components and varimax-rotated components in event-related potential research: some remarks on their interpretation. Biol Psychol 13:3–26

    Article  PubMed  Google Scholar 

  • Shimoyama I, Morita Y, Uemura K, Kojima Y, Nakamura T, Nishizawa S, Yokoyama T, Ryu H, Murayama M, Uchizono K (1992) Verbal versus non-verbal visual evoked potentials: Kanji versus line drawings. Brain Topogr 5(1):35–39

    Article  CAS  PubMed  Google Scholar 

  • Shinoda H, Skrandies W (2013) Topographic changes in event-related potentials because of learning of meaningful Kanji characters. Neuroreport 24(10):555–559. doi:10.1097/WNR.0b013e3283623743

    Article  PubMed  Google Scholar 

  • Shoji H, Skrandies W (2006) ERP topography and human perceptual learning in the peripheral visual field. Int J Psychophysiol 61(2):179–187. doi:10.1016/j.ijpsycho.2005.09.007

    Article  PubMed  Google Scholar 

  • Skrandies W, Jedynak A (1999) Learning to see 3-D: psychophysics and brain electrical activity. Neuroreport 10:249–253

    Article  CAS  PubMed  Google Scholar 

  • Skrandies W, Jedynak A, Fahle M (2001) Perceptual learning: psychophysical thresholds and electrical brain topography. Int J Psychophysiol 41:119–129

    Article  CAS  PubMed  Google Scholar 

  • Skrandies W, Klein A (2015) Brain activity and learning of mathematical rules—effects on the frequencies of EEG. Brain Res 1603:133–140

    Article  CAS  PubMed  Google Scholar 

  • Skrandies W, Lehmann D (1982) Spatial principal components of multichannel maps evoked by lateral visual half-field stimuli. Electroencephalogr Clin Neurophysiol 54:662–667

    Article  CAS  PubMed  Google Scholar 

  • Skrandies Wolfgang (2011) The structure of semantic meaning—a developmental study. Jpn Psychol Res 53:65–76

    Article  Google Scholar 

  • Stein M, Dierks T, Brandeis D, Wirth M, Strik W, Strik W, Koenig T (2006) Plasticity in the adult language system: a longitudinal electrophysiological study on second language learning. Neuroimage 33(2):774–783. doi:10.1016/j.neuroimage.2006.07.008

    Article  CAS  PubMed  Google Scholar 

  • Tabachnick BG, Fidell LS (2001) Using Multivariate statistics, 4th edn. Allyn and Bacon, Boston

    Google Scholar 

  • Tanji K, Suzuki K, Delorme A, Shamoto H, Nakasato N (2005) High-frequency gamma-band activity in the basal temporal cortex during picture-naming and lexical-decision tasks. J Neurosci 25(13):3287–3293. doi:10.1523/JNEUROSCI.4948-04.2005

    Article  CAS  PubMed  Google Scholar 

  • Walsh MM, Anderson JR (2012) Learning from experience: event-related potential correlates of reward processing, neural adaptation, and behavioral choice. Neurosci Biobehav Rev 36(8):1870–1884. doi:10.1016/j.neubiorev.2012.05.008

    Article  PubMed  PubMed Central  Google Scholar 

  • Yamaguchi S, Toyoda G, Xu J, Kobayashi S, Henik A, Henik A (2002) Electroencephalographic activity in a flanker interference task using Japanese orthography. J Cognit Neurosci 14(7):971–979. doi:10.1162/089892902320474445

    Article  Google Scholar 

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Acknowledgements

We wish to thank Ms. P. Bagherzadeh for assistance with data collection and Dr. A. Klein for help with the graphics format and comments on the text. Two anonymous reviewers provided helpful suggestions on an earlier version of the manuscript.

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Correspondence to Wolfgang Skrandies.

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Skrandies, W., Shinoda, H. Topographical Subcomponents of Electrical Brain Activity Allow to Identify Semantic Learning. Brain Topogr 30, 303–311 (2017). https://doi.org/10.1007/s10548-017-0556-0

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