This study aimed to elucidate the mechanism of detecting differences between a current line orientations and line orientations retained in working memory (WM). The results were compared with the data obtained in a WM experiment for spatial patterns. The study involved 33 healthy subjects with normal vision. The subjects performed a WM task, and the visual event-related potentials (ERPs) and dipole simulation were analyzed in the interval 160–280 ms after the stimulus. An increase in ERP amplitude was identified as an informative marker of a mismatch between the current and retained stimuli. The increase arose simultaneously in the frontal and parietal-occipital cortical areas and was stimulus type independent. An analysis of distributed dipole sources showed that the topography of match vs. mismatch differences depends on the stimulus type. In the case of orientations, differences were more local and predominated in the caudal areas of the left hemisphere. In the case of spatial patterns, differences were more extended and prevailed in the right hemisphere. The results indicate that a common organization is characteristic of neural networks detecting a mismatch between current and retained stimuli and, on the other hand, that some rearrangements can arise in these neural networks depending on the type of information processed.
This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
Hollingworth, A., Richard, A.M., and Luck, S.J., Understanding the function of visual short-term memory in human cognition: transsaccadic memory, object correspondence, and gaze correction, J. Exp. Psychol.: Gen., 2008, vol. 137, p. 163.
Magnussen, S., Low-level memory processes in vision, Trends Neurosci., 2000, vol. 23, no. 6, p. 247.
Christophel, T.B., King, P.C., Spitzer, B., et al., The disturbed nature of working memory, Trends Cognit. Sci., 2017, vol. 21, no. 2, p. 111.
Harrison, S.A. and Tong, F., Decoding reveals the contents of visual working memory in early visual areas, Nature, 2009, vol. 458, no. 7238, p. 632.
Mikhailova, E.S., Gerasimenko, N.Yu., Slavutskaya, A.V., et al., Temporal and topographic characteristics of evoked potentials in the conflict of two consecutive visual stimuli in a working memory task, Hum. Physiol., 2017, vol. 43, no. 3, p. 248.
Mikhailova, E.S., Gerasimenko, N.Yu., and Slavutskaya, A.V., Sensory mechanism of early discrimination of orientations in the visual working memory, Zh. Vyssh. Nerv. Deiat. Im. I.P. Pavlova, 2019, vol. 69, no. 5, p. 577.
Potts, G.F. and Tucker, D.M., Frontal evaluation and posterior representation in target detection, Cognit. Brain Res., 2001, vol. 11, p. 147.
Pinal, D., Zurrón, M., and Díaz, F., Effects of load and maintenance duration on the time course of information encoding and retrieval in working memory: from perceptual analysis to post-categorization processes, Front. Hum. Neurosci., 2014, vol. 8, art. ID 165.
Benjamini, Y. and Hochberg, Y., Controlling the false discovery rate: a practical and powerful approach to multiple testing, J. R. Stat. Soc., Ser. B, 1995, vol. 57, no. 1, p. 289.
Krylova, M.A., Izyurov, I.V., Gerasimenko, N.Yu., et al., The modeling of human visual ERPs sources in the task of line orientation identification, Zh. Vyssh. Nerv. Deyat. Im. I.P. Pavlova, 2015, vol. 65, no. 6, p. 685.
Mazoyer, B. and Joliot, M., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain, NeuroImage, 2002, vol. 15, no. 1, p. 273.
Brett, M., Anton, J.-L., Valabregue, R., and Poline, J.-B., Region of interest analysis using an SPM toolbox, NeuroImage, 2002, vol. 16, no. 2. https://doi.org/10.1016/S1053-8119(02)90013-3
Zhang, Y., Wang, Y., Wang, H., et al., Different processes are involved in human brain for shape and face comparisons, Neurosci. Lett., 2001, vol. 303, no. 3, p. 157.
Wang, H., Wang, Y., Kong, J., et al., Enhancement of conflict processing activity in human brain under task relevant condition, Neurosci. Lett., 2001, vol. 298, no. 3, p. 155.
Yin, J., Gao, Z., Jin, X., et al., Tracking the mismatch information in visual short term memory: An event-related potential study, Neurosci. Lett., 2011, vol. 491, no. 1, p. 26.
Gao, Z., Li, J., Liang, J., et al., Storing fine detailed information in visual working memory—Evidence from event-related potentials, J. Vision, 2009, vol. 9, no. 7, p. 17.
Crowley, K.E. and Colrain, I.M., A review of the evidence for P2 being an independent component process: age, sleep and modality, Clin. Neurophysiol., 2004, vol. 115, no. 4, p. 732.
Chernyshev, B.V. and Medvedev, V., Event-Related Potential Study of P2 and N2 Components on Fast and Slow Responses in the Auditory Condensation Task: Higher School of Economics Research Paper No. WP BRP 70/PSY/2016, Moscow, 2016.
Freunberger, R., Klimesch, W., Doppelmayr, D., and Holler, Y., Visual P2 component is related to theta phase-locking, Neurosci. Lett., 2007, vol. 426, no. 3, p. 181.
Tremblay, K.L., Ross, B., Inoue, K., et al., Is the auditory evoked P2 response a biomarker of learning? Front. Syst. Neurosci., 2014, vol. 8, p. 28.
Lefebvre, C.D., Marchanda, Y., Eskes, G.A., and Connoll, J.F., Assessment of working memory abilities using an event-related brain potential (ERP)-compatible digit span backward task, Clin. Neurophysiol., 2005, vol. 116, no. 7, p. 1665.
Wang, A.L., Mouraux, A., Liang, M., and Iannetti, G.D., The enhancement of the N1 wave elicited by sensory stimuli presented at very short inter-stimulus intervals is a general feature across sensory systems, PLoS One, 2008, vol. 3, no. 12, p. e3929.
Novak, G., Ritter, W., and Vaughan, H.G., Jr., Mismatch detection and the latency of temporal judgements, Psychophysiology, 1992, vol. 29, no. 4, p. 398.
Coenen, A., Modeling of auditory evoked potentials of human sleep–wake states, Int. J. Psychophysiol., 2012, vol. 85, no. 1, p. 37.
Haenschel, C., Vernon, D.J., Dwivedi, P., et al., Event related brain potential correlates of human auditory sensory memory-trace formation, J. Neurosci., 2005, vol. 25, no. 45, p. 10494.
Hubel, D.H. and Wiesel, T.N., Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex, J. Physiol., 1962, vol. 160, no. 1, p. 106.
Landau, S., Garavan, M.H., Schumacher, E.H., and D’Esposito, M., Regional specificity and practice: dynamic changes in object and spatial working memory, Brain Res., 2007, vol. 1180, p. 78.
Miller, B.T. and D’Esposito, M., Spatial and temporal dynamics of cortical networks engaged in memory encoding and retrieval, Front. Hum. Neurosci., 2012, vol. 6, p. 109.
Courtney, S.M., Petit, L., Maisog, J.M., et al., An area specialized for spatial working memory in human frontal cortex, Science, 1998, vol. 279, no. 5355, p. 1347.
Curtis, C.E. and D’Esposito, M., Persistent activity in the prefrontal cortex during working memory, Trends Cognit. Sci., 2003, vol. 7, p. 415.
Xu, X., Collins, C.E., Khaytin, I., et al., Unequal representation of cardinal vs. oblique orientations in the middle temporal visual area, Proc. Natl. Acad. Sci. U.S.A., 2006, vol. 103, p. 17490.
Ester, E.F., Sprague, T.C., and Serences, J.T., Parietal and frontal cortex encode stimulus-specific mnemonic representations during visual working memory, Neuron, 2015, vol. 87, no. 4, p. 893.
Barredo, J., Öztekin, I., and Badre, D., Ventral fronto-temporal pathway supporting cognitive control of episodic memory retrieval, Cereb. Cortex, 2015, vol. 25, no. 4, p. 1004.
Barredo, J., Verstynen, T.D., and Badre, D., Organization of cortico-cortical pathways supporting memory retrieval across subregions of the left ventrolateral prefrontal cortex, J. Neurophysiol., 2016, vol. 116, no. 3, p. 920.
Wagner, A., Paré-Blagoev, E., Clark, J., and Poldrack, R., Recovering meaning: left prefrontal cortex guides controlled semantic retrieval, Neuron, 2001, vol. 31, no. 2, p. 329.
Badre, D., Poldrack, R.A., Paré-Blagoev, E.J., et al., Dissociable controlled retrieval and generalized selection mechanisms in ventrolateral prefrontal cortex, Neuron, 2005, vol. 47, no. 6, p. 907.
Fink, G.R., Halligan, P.W., Marshall, J.C., et al., Neural mechanisms involved in the processing of global and local aspects of hierarchically organized visual stimuli, Brain, 1997, vol. 120, p. 1779.
Wakita, M., Categorical perception of orientation in monkeys, Behav. Process., 2004, vol. 67, no. 2, p. 263.
Smith, E.E. and Jonides, J., Working memory: a view from neuroimaging, Cognit. Psychol., 1997, vol. 33, no. 1, p. 5.
Slotnick, S.D. and Moo, L.R., Prefrontal cortex hemispheric specialization for categorical and coordinate visual spatial memory, Neuropsychologia, 2006, vol. 44, p. 1560.
Herzmann, G., Jin, M., Cordes, D., and Curran, T., A within-subject ERP and fMRI investigation of orientation-specific recognition memory for pictures, Cognit. Neurosci., 2012, vol. 3, nos. 3–4, p. 174.
Barton, B. and Brewer, A.A., Visual working memory in human cortex, Psychology, 2013, vol. 4, no. 8, p. 655.
D’Esposito, M., Aguirre, G.K., Zarahn, E., et al., Functional MRI studies of spatial and nonspatial working memory, Cognit. Brain Res., 1998, vol. 7, no. 1, p. 1.
Levelt, W.J., Praamstra, P., Meyer, A.S., et al., An MEG study of picture naming, J. Cognit. Neurosci., 1998, vol. 10, no. 5, p. 553.
Corbetta, M., Kincade, J.M., Ollinger, J.M., et al., Voluntary orienting is dissociated from target detection in human posterior parietal cortex, Nat. Neurosci., 2000, vol. 3, p. 292.
Omoto, S., Kuroiwa, Y., Otsuka, S., et al., P1 and P2 components of human visual evoked potentials are modulated by depth perception of 3-dimensional images, Clin. Neurophysiol., 2010, vol. 121, no. 3, p. 386.
This work was supported by the Russian Foundation for Basic Research (project no. 19-013-00918\19).
Conflict of interests. The authors declare that they have no real or potential conflict of interest.
Statement of compliance with standards of research involving humans as subjects. All procedures performed in studies involving human participants were in accordance with the ethical standards of the 1964 Helsinki Declaration and its later amendments and were approved by the local Ethics Committee at the Institute of Higher Nervous Activity and Neurophysiology (Russian Academy of Sciences, Moscow). All individual participants involved in the study voluntarily gave their written informed consent for participation after being informed about the potential risks and benefits and nature of the study.
Translated by T. Tkacheva
About this article
Cite this article
Mikhailova, E.S., Gerasimenko, N.Y. & Saltykov, K.A. Neurophysiological Mechanisms of Orientation Feature Matching in a Working Memory Task. Hum Physiol 46, 607–620 (2020). https://doi.org/10.1134/S0362119720060067
- working memory
- line orientation
- event-related potentials
- dipole sources