How robustly do multivariate EEG patterns track individual-subject lexico-semantic processing of visual stimuli?

References

• Arbabshirani, M. R., Plis, S., Sui, J., & Calhoun, V. D. (2017). Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. NeuroImage, 145(Pt B), 137–165. https://doi.org/10.1016/j.neuroimage.2016.02.079
   PubMedGoogle Scholar
• Badcock, N. A., Preece, K. A., de Wit, B., Glenn, K., Fieder, N., Thie, J., & McArthur, G. (2015). Validation of the Emotiv EPOC EEG system for research quality auditory event-related potentials in children. PeerJ, 3, e907. https://doi.org/10.7717/peerj.907
   PubMed Web of Science ®Google Scholar
• Berlingeri, M., Magnani, F. G., Salvato, G., Rosanova, M., & Bottini, G. (2019). Neuroimaging studies on disorders of consciousness: A meta-analytic evaluation. Journal of Clinical Medicine, 8(4), 516. https://doi.org/10.3390/jcm8040516
   PubMed Web of Science ®Google Scholar
• Beukema, S., Gonzalez-Lara, L. E., Finoia, P., Kamau, E., Allanson, J., Chennu, S., Gibson, R. M., Pickard, J. D., Owen, A. M., & Cruse, D. (2016). A hierarchy of event-related potential markers of auditory processing in disorders of consciousness. NeuroImage: Clinical, 12, 359–371. https://doi.org/10.1016/j.nicl.2016.08.003
   PubMed Web of Science ®Google Scholar
• Bird, H., Franklin, S., & Howard, D. (2001). Age of acquisition and imageability ratings for a large set of words, including verbs and function words. Behavior Research Methods, Instruments, & Computers, 33(1), 73–79. https://doi.org/10.3758/BF03195349
   PubMedGoogle Scholar
• Chang, C.-C., & Lin, C.-J. (2011). LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2(3), 1–27. Article number 27. https://doi.org/10.1145/1961189.1961199
   Web of Science ®Google Scholar
• Chwilla, D. J., Brown, C. M., & Hagoort, P. (1995). The N400 as a function of the level of processing. Psychophysiology, 32(3), 274–285. https://doi.org/10.1111/j.1469-8986.1995.tb02956.x
   PubMed Web of Science ®Google Scholar
• Coleman, M. R., Davis, M. H., Rodd, J. M., Robson, T., Ali, A., Owen, A. M., & Pickard, J. D. (2009). Towards the routine use of brain imaging to aid the clinical diagnosis of disorders of consciousness. Brain, 132(9), 2541–2552. https://doi.org/10.1093/brain/awp183
   PubMedGoogle Scholar
• Cruse, D., Beukema, S., Chennu, S., Malins, J. G., Owen, A. M., & McRae, K. (2014). The reliability of the N400 in single subjects: Implications for patients with disorders of consciousness. NeuroImage: Clinical, 4, 788–799. https://doi.org/10.1016/j.nicl.2014.05.001
   PubMed Web of Science ®Google Scholar
• Debruille, J. B. (2007). The N400 potential could index a semantic inhibition. Brain Research Reviews, 56(2), 472–477. https://doi.org/10.1016/j.brainresrev.2007.10.001
   PubMedGoogle Scholar
• de Lissa, P., Sorensen, S., Badcock, N., Thie, J., & McArthur, G. (2015). Measuring the face-sensitive N170 with a gaming EEG system: A validation study. Journal of Neuroscience Methods, 253), https://doi.org/10.1016/j.jneumeth.2015.05.025
   PubMed Web of Science ®Google Scholar
• Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009
   PubMed Web of Science ®Google Scholar
• De Vos, M., Gandras, K., & Debener, S. (2014). Towards a truly mobile auditory brain-computer interface: Exploring the P300 to take away. International Journal of Psychophysiology, 91(1), 46–53. https://doi.org/10.1016/j.ijpsycho.2013.08.010
   PubMed Web of Science ®Google Scholar
• Dijkstra, K., Farquhar, J., & Desain, P. (2019). Occurrence of the potent mutagens 2- nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles. Scientific Reports, 9(1), Article 1. https://doi.org/10.1038/s41598-018-37186-2
   Google Scholar
• Dijkstra, K. V., Farquhar, J. D. R., & Desain, P. W. M. (2020). The N400 for brain computer interfacing: Complexities and opportunities. Journal of Neural Engineering, 17(2), 022001. https://doi.org/10.1088/1741-2552/ab702e
   PubMed Web of Science ®Google Scholar
• Dunn, L. M., & Dunn, D. M. (2007). Peabody picture vocabulary Test—Fourth Edition. APA PsychNet. https://psycnet.apa.org/doiLanding?doi=10.1037%2Ft15144-000.
   Google Scholar
• Duvinage, M., Castermans, T., Petieau, M., Hoellinger, T., Cheron, G., & Dutoit, T. (2013). Performance of the Emotiv Epoc headset for P300-based applications. BioMedical Engineering OnLine, 12(1), 56. https://doi.org/10.1186/1475-925X-12-56
   PubMed Web of Science ®Google Scholar
• Fischer-Baum, S., Dickson, D. S., & Federmeier, K. D. (2014). Frequency and regularity effects in Reading are task dependent: Evidence from ERPs. Language, Cognition and Neuroscience, 29(10), 1342–1355. https://doi.org/10.1080/23273798.2014.927067
   PubMed Web of Science ®Google Scholar
• Ganis, G., Kutas, M., & Sereno, M. I. (1996). The search for “common sense”: An electrophysiological study of the comprehension of words and pictures in reading. Journal of Cognitive Neuroscience, 8(2), 89–106. https://doi.org/10.1162/jocn.1996.8.2.89
   PubMed Web of Science ®Google Scholar
• Geuze, J., van Gerven, M. A. J., Farquhar, J., & Desain, P. (2013). Detecting semantic priming at the single-trial level. PLoS One, 8(4), e60377. https://doi.org/10.1371/journal.pone.0060377
   PubMed Web of Science ®Google Scholar
• Goddard, E., Carlson, T. A., & Woolgar, A. (2022). Spatial and feature-selective attention have distinct, interacting effects on population-level tuning. Journal of Cognitive Neuroscience, 34(2), 290–312. https://doi.org/10.1162/jocn_a_01796
   PubMed Web of Science ®Google Scholar
• Grootswagers, T., Wardle, S. G., & Carlson, T. A. (2017). Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time series neuroimaging data. Journal of Cognitive Neuroscience, 29(4), 677–697. https://doi.org/10.1162/jocn_a_01068
   PubMed Web of Science ®Google Scholar
• Guthrie, D., & Buchwald, J. S. (1991). Significance testing of difference potentials. Psychophysiology, 28(2), 240–244. https://doi.org/10.1111/j.1469-8986.1991.tb00417.x
   PubMed Web of Science ®Google Scholar
• Hamilton, A., Plunkett, K., & Schafer, G. (2000). Infant vocabulary development assessed with a British communicative development inventory. Journal of Child Language, 27(3), 689–705. https://doi.org/10.1017/S0305000900004414
   PubMed Web of Science ®Google Scholar
• Hamm, J. P., Johnson, B. W., & Kirk, I. J. (2002). Comparison of the N300 and N400 ERPs to picture stimuli in congruent and incongruent contexts. Clinical Neurophysiology, 113(8), 1339–1350. https://doi.org/10.1016/S1388-2457(02)00161-X
   PubMed Web of Science ®Google Scholar
• Hubbard, R. J., & Federmeier, K. D. (2021). Dividing attention influences contextual facilitation and revision during language comprehension. Brain Research, 1764, 147466. https://doi.org/10.1016/j.brainres.2021.147466
   PubMed Web of Science ®Google Scholar
• Kallionpää, R. E., Pesonen, H., Scheinin, A., Sandman, N., Laitio, R., Scheinin, H., Revonsuo, A., & Valli, K. (2019). Single-subject analysis of N400 event-related potential component with five different methods. International Journal of Psychophysiology, 144, 14–24. https://doi.org/10.1016/j.ijpsycho.2019.06.012
   PubMed Web of Science ®Google Scholar
• Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology, 62(1), 621–647. https://doi.org/10.1146/annurev.psych.093008.131123
   PubMed Web of Science ®Google Scholar
• Mostert, P., Albers, A. M., Brinkman, L., Todorova, L., Kok, P., & de Lange, F. P. (2018). Eye movement-related confounds in neural decoding of visual working memory representations. ENeuro, 5(4), ENEURO.0401–17.2018. https://doi.org/10.1523/ENEURO.0401-17.2018
   PubMedGoogle Scholar
• Nigam, A., Hoffman, J. E., & Simons, R. F. (1992). N400 to semantically anomalous pictures and words. Journal of Cognitive Neuroscience, 4(1), 15–22. https://doi.org/10.1162/jocn.1992.4.1.15
   PubMed Web of Science ®Google Scholar
• Okita, T., & Jibu, T. (1998). Selective attention and N400 attenuation with spoken word repetition. Psychophysiology, 35(3), 260–271. https://doi.org/10.1017/S0048577298961042
   PubMed Web of Science ®Google Scholar
• Oosterhof, N. N., Connolly, A. C., & Haxby, J. V. (2016). CoSMoMVPA: Multi-modal multivariate pattern analysis of neuroimaging data in Matlab/GNU Octave. Frontiers in Neuroinformatics, 10. https://www.frontiersin.org/articles/10.3389fninf.2016.00027
   PubMed Web of Science ®Google Scholar
• Petit, S., Badcock, N. A., Grootswagers, T., Rich, A. N., Brock, J., Nickels, L., Moerel, D., Dermody, N., Yau, S., Schmidt, E., & Woolgar, A. (2020a). Toward an individualized neural assessment of receptive language in children. Journal of Speech, Language, and Hearing Research, 63(7), 2361–2385. https://doi.org/10.1044/2020_JSLHR-19-00313
   PubMed Web of Science ®Google Scholar
• Petit, S., Badcock, N. A., Grootswagers, T., & Woolgar, A. (2020b). Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children. Scientific Reports, 10(1), 10849. https://doi.org/10.1038/s41598-020-67407-6
   PubMed Web of Science ®Google Scholar
• Quax, S. C., Dijkstra, N., van Staveren, M. J., Bosch, S. E., & van Gerven, M. A. J. (2019). Eye movements explain decodability during perception and cued attention in MEG. NeuroImage, 195, 444–453. https://doi.org/10.1016/j.neuroimage.2019.03.069
   PubMed Web of Science ®Google Scholar
• Smith, S. M., & Nichols, T. E. (2009). Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 44(1), 83–98. https://doi.org/10.1016/j.neuroimage.2008.03.061
   PubMed Web of Science ®Google Scholar
• Tanaka, H., Watanabe, H., Maki, H., Sakriani, S., & Nakamura, S. (2019). Electroencephalogram-Based single-trial detection of language expectation violations in listening to speech. Frontiers in Computational Neuroscience, 13), https://doi.org/10.3389/fncom.2019.00015
   PubMed Web of Science ®Google Scholar
• Thie, J. (2013). A wireless marker system to enable evoked potential recordings using a wireless EEG system (EPOC) and a portable computer. PeerJ Inc, https://doi.org/10.7287/peerj.preprints.32v1
   Google Scholar
• Van Petten, C., Coulson, S., Rubin, S., Plante, E., & Parks, M. (1999). Time course of word identification and semantic integration in spoken language. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(2), 394–417. https://doi.org/10.1037/0278-7393.25.2.394
   PubMed Web of Science ®Google Scholar
• van Vliet, M., Chumerin, N., De Deyne, S., Wiersema, J. R., Fias, W., Storms, G., & Van Hulle, M. M. (2016). Single-Trial ERP component analysis using a spatiotemporal LCMV beamformer. IEEE Transactions on Biomedical Engineering, 63(1), 55–66. https://doi.org/10.1109/TBME.2015.2468588
   PubMed Web of Science ®Google Scholar
• van Vliet, M., & Salmelin, R. (2020). Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data. NeuroImage, 204, 116221. https://doi.org/10.1016/j.neuroimage.2019.116221
   PubMed Web of Science ®Google Scholar
• van Vliet, M., Van Hulle, M. M., & Salmelin, R. (2018). Exploring the organization of semantic memory through unsupervised analysis of event-related potentials. Journal of Cognitive Neuroscience, 30(3), 381–392. https://doi.org/10.1162/jocn_a_01211
   PubMed Web of Science ®Google Scholar
• Wagemans, J., Feldman, J., Gepshtein, S., Kimchi, R., Pomerantz, J. R., van der Helm, P. A., & van Leeuwen, C. (2012). A century of Gestalt psychology in visual perception: II. Conceptual and theoretical foundations. Psychological Bulletin, 138(6), 1218–1252. https://doi.org/10.1037/a0029334
   PubMed Web of Science ®Google Scholar
• Wenzel, M. A., Bogojeski, M., & Blankertz, B. (2017). Real-time inference of word relevance from electroencephalogram and eye gaze. Journal of Neural Engineering, 14(5), 056007. https://doi.org/10.1088/1741-2552/aa7590
   PubMed Web of Science ®Google Scholar
• Williams, N. S., McArthur, G. M., de Wit, B., Ibrahim, G., & Badcock, N. A. (2020). A validation of Emotiv EPOC Flex saline for EEG and ERP research. PeerJ, 8, e9713. https://doi.org/10.7717/peerj.9713
   PubMed Web of Science ®Google Scholar
• Zhang, M., & Zhang, Y. (2007). Semantic processing is affected in inhibition of return: Evidence from an event-related potentials study. NeuroReport, 18(3), 267–271. https://doi.org/10.1097/WNR.0b013e32801231a9
   PubMed Web of Science ®Google Scholar