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Development of mechanisms of recognition of fragmented images differing in the degree of fragmentation in children of preschool and primary school ages

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Abstract

Recognition of fragmented images with an increasing number of fragments was studied in children of three age groups (five to six, seven to eight, and nine to ten years of age) to compare the behavioral and neurophysiological parameters of recognition in these groups. The most pronounced changes in effectiveness of recognition were observed when the five- to six-year-old and seven- to eight-year-old children were compared. In the former, recognition was not accompanied by any significant changes in the event-related potentials of the prefrontal cortex or by an increase in N250–400 (Ncl) in the extrastriate cortex (though it is an important characteristic of the process). However, the amplitude of the N170–200 component, which reflects analysis and encoding of sensory features, did increase at the age of five to six years. Immaturity of the prefrontal cortex is manifested in a deficiency of the control: these children respond hastily and make numerous mistakes. In seven- to eight-year-old children, recognition is accompanied by an increase in the amplitude of the N100 and N250 components in the prefrontal cortex, whereas the amplitude of the Ncl component increases in the extrastriate cortex. The error rate and recognition threshold are significantly lower in these children than at the age of five to six years. The role of prefrontal cortex is the most pronounced at the age of nine to ten years, which is manifested in the Ncl amplitude and the later phases corresponding to the cognitive recognition. Our results demonstrate qualitative differences in the mechanisms of recognition in children of the preschool and primary school age. At the age of five to six years, recognition is a result of integration of the sensory signs. Beginning from the age of seven to eight years, the prefrontal cortex plays an important role in recognition of the fragmentary images; this brain region is responsible for a search of possible analogues in memory and identification of an object.

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References

  1. Viggiano, M.R. and Kutas, M., The Covert Interplay Between Perception and Memory: Event-Related Potential Evidence, EEG Clin. Neurophysiol., 1998, vol. 108, p. 435.

    CAS  Google Scholar 

  2. Farber, D.A., Development of Visual Perception in Ontogeny. Psychological Analysis, Mir Psikhol., 2003, no. 2, p. 114.

  3. Farber, D.A. and Beteleva, T.G., Formation of the System of Visual Perception in Ontogeny, Human Physiol., 2005, vol. 31, no. 5, p. 515.

    Article  Google Scholar 

  4. Bar, M., A Cortical Mechanism for Triggering Top-Down Facilitation in Visual Object Recognition, J. Cogn. Neurosci., 2003, vol. 15, p. 600.

    Article  PubMed  Google Scholar 

  5. Bar, M., Kassam, K.S., Ghuman, A.S., et al., Top-Down Facilitation of Visual Recognition, Proc. Natl. Acad. Sci. USA, 2006, vol. 103, no. 2, p. 449.

    Article  PubMed  CAS  Google Scholar 

  6. Kveraga, K., Boshyan, J., and Bar, M., Magnocellular Projections As the Trigger of Top-Down Facilitation in Recognition, J. Neurosci., 2007, vol. 27, no. 48, p. 13232.

    Article  PubMed  CAS  Google Scholar 

  7. Kveraga, K., Ghuman, A.S., Kassam, K.S., et al., Early Onset of Neural Synchronization in the Contextual Associations Network, Proc. Natl. Acad. Sci. U.S.A., 2011, vol. 108, no. 8, p. 3389.

    Article  PubMed  CAS  Google Scholar 

  8. Stuss, D.T., Picton, T.W., Cerri, A.M., et al., Perceptual Closure and Object Identification: Electrophysiological Responses to Incomplete Pictures, Brain Cogn., 1992, vol. 19, p. 253.

    Article  PubMed  CAS  Google Scholar 

  9. Doniger, G.M., Foxe, J.J., Schroeder, Ch.E., et al., Visual Perceptual Learning in Human Object Recognition Areas: A Repetition Priming Study Using High-Density Electrical Mapping, NeuroImage, 2001, vol. 13, p. 305.

    Article  PubMed  CAS  Google Scholar 

  10. Doniger, G.M., Foxe, J.J., Murray, M.M., et al., Impaired Visual Object Recognition and Dorsal/Ventral Stream Interaction in Schizophrenia, Arch. Gen. Psychiatry, 2002, vol. 59, p. 1011.

    Article  PubMed  Google Scholar 

  11. Viggiano, M.R. and Kutas, M., Overt and Covert Identification of Fragmented Objects Inferred from Performance and Electrophysiological Measures, J. Exp. Psychology Gen., 2000, vol. 129, no. 1, p. 107.

    Article  CAS  Google Scholar 

  12. Sehatpour, P., Molholm, S., Javitt, D.C., and Foxe, J.J., Spatiotemporal Dynamics of Human Object Recognition Processing: An Integrated High-Density Electrical Mapping and Functional Imaging Study of “Closure”’ Processes, NeuroImage, 2006, vol. 29, p. 605.

    Article  PubMed  Google Scholar 

  13. Sehatpour, P., Molholm, S., Schwartz, T., et al., A Human Intracranial Study of Long-Range Oscillatory Coherence across a Frontal-Occipital-Hippocampal Brain Network during Visual Object Processing, Proc. Natl. Acad. Sci. U.S.A., 2008, vol. 105, no. 11, p. 4399.

    Article  PubMed  CAS  Google Scholar 

  14. Sehatpour, P., Dias, E.C., Pamela, D., et al., Impaired Visual Object Processing across An Occipital-Frontal-Hippocampal Brain Network in Schizophrenia, Arch. Gen. Psychiatry, 2010, vol. 67, no. 8, p. 772.

    Article  PubMed  Google Scholar 

  15. Gerlach, C., Aaside, C.T., Humphreys, G.W., et al., Brain Activity Related To Integrative Processes in Visual Object Recognition: Bottom-Up Integration and the Modulatory Influence of Stored Knowledge, Neuropsychologia, 2002, vol. 40, p. 1254.

    Article  PubMed  CAS  Google Scholar 

  16. Gruber, Th., Muller, M., and Keil, A., Modulation of Induced Gamma Band Responses in Perceptual Learning Task in the Human EEG, J. Cogn. Neurosci., 2002, vol. 14, no. 5, p. 732.

    Article  PubMed  Google Scholar 

  17. Grutzner, Ch., Uhlhaas, P.J., Genc, E., et al., Neuroelectromagnetic Correlates of Perceptual Closure Processes, J. Neurosci., 2010, vol. 30, no. 24, p. 8342.

    Article  PubMed  Google Scholar 

  18. Schacter, D.L., Implicit Knowledge: New Perspectives on Unconscious Processes, Proc. Natl. Acad. Sci. U.S.A., 1992, vol. 89, p. 11113.

    Article  PubMed  CAS  Google Scholar 

  19. Voss, J.L. and Paller, K., Brain Substrates of Implicit and Explicit Memory: The Importance of Concurrently Acquired Neural Signals of Both Memory Types, Neuropsychologia, 2008, vol. 46, no. 13, p. 3021.

    Article  PubMed  Google Scholar 

  20. Wang, W., Lazzara, M.M., Ranganath, Ch., et al., The Medial Temporal Lobe Supports Conceptual Implicit Memory, Neuron, 2010, vol. 68, p. 835.

    Article  PubMed  CAS  Google Scholar 

  21. Friedman, D., Chastelaine De M., Nessler D., Malcolm Br. Changes in Familiarity and Recollection across the Lifespan: An ERP Perspective, Brain Res., 2010, vol. 1310, p. 124.

    Article  PubMed  CAS  Google Scholar 

  22. Farber, D.A. and Petrenko, N.E., Recognition of Fragmented Images and Mechanisms of Memory, Human Physiol., 2008, vol. 34, no. 1, p.1.

    Article  Google Scholar 

  23. Gollin, E.S., Developmental Studies of Visual Recognition of Incomplete Objects, Percept. Motor Skills, 1960, vol. 11, p. 289.

    Google Scholar 

  24. Hayes, B.K. and Hennessy, R., The Nature and Development of Nonverbal Implicit Memory, J. Exp. Child Psychol., 1996, vol. 63, p. 22.

    Article  PubMed  CAS  Google Scholar 

  25. Cycowicz, Y.M., Friedman, D., Snodgrass, J.G., and Rothstein, M., A Developmental Trajectory in Implicit Memory Is Revealed by Picture Fragment Completion, Memory, 2000, vol. 8, no. 1, p. 1935.

    Article  Google Scholar 

  26. Cycowicz, Yael M., Memory Development and Event-Related Brain Potentials in Children, Biol. Psychol., 2000, vol. 54, p. 145.

    Article  PubMed  CAS  Google Scholar 

  27. Polonskaya, N.N., Neiropsikhologicheskaya diagnostika detei mladshego shkol’nogo vozrasta (Neuropsychological Diagnosing in Children of the Primary School Age), Moscow: Akademiya, 2007.

    Google Scholar 

  28. Machinskaya, R.I., Functional Maturation of the Brain and Formation of Neurophysiological Mechanisms of Selective Voluntary Attention in Young School Children, Human Physiol., 2006, vol. 32, no. 1, p. 21.

    Google Scholar 

  29. Kostandov, E.A., Farber, D.A., Cheremushkin, E.A., et al., Spatial Organization of Cortical Electrical Activity at Different Stages of Visual Arrangement in Children of the Preschool and Primary School Age, Zh. Vyssh. Nervn. Deyat. im. I.P. Pavlova, 2007, vol. 57, no. 6, p. 689.

    Google Scholar 

  30. Razvitie mozga i formirovanie poznavatel’noi deyatel’nosti rebenka (Brain Development and Formation of Cognitive Activity of a Child) Farber, D.A and Bezrukikh, M.M., Eds., Moscow: Modek, 2009.

    Google Scholar 

  31. Snodgrass, J.G. and Corwin, J., Perceptual Identification Thresholds for 150 Fragmented Pictures from the Snodgrass and Vanderwart Picture Set, Percept. Motor Skills, 1988, vol. 67, p. 3.

    Article  PubMed  CAS  Google Scholar 

  32. Farber, D.A. and Petrenko, N.E., Individual Features of Visual Recognition in Children of the Preschool Age, Al’Manakh Novye Issledovaniya, 2012, no. 1, p. 30.

  33. Bledowski, C., Kadosh, K.C., Wibral, M., et al., Mental Chronometry of Working Memory Retrieval: A Combined Functional Magnetic Resonance Imaging and Event-Related Potentials Approach, J. Neurosci., 2006, vol. 26, no. 3, p. 821.

    Article  PubMed  CAS  Google Scholar 

  34. Van Petten, C. and Senkfor, A.J., Memory for Words and Novel Visual Patterns: Repetition, Recognition, and Encoding Effects in the Event-Related Brain Potential, Psychophysiology, 1996, vol. 33, p. 491.

    Article  PubMed  Google Scholar 

  35. Molfese, P.J., Molfese, V.J., Molfese, D.L., et al., Executive Function Skills of 6-8year Olds: Brain and Behavioral Evidence and Implications for School Achievement, Contemporary Educational Psychology, 2010, vol. 35, no. 3, p. 116.

    Article  PubMed  Google Scholar 

  36. Schendan, H.E. and Maher, S.M., Object Knowledge during Entry Level Categorization Is Activated and Modified by Implicit Memory after 200 ms, NeuroImage, 2008, vol. 44, p. 1423.

    Article  PubMed  Google Scholar 

  37. Farber, D.A. and Beteleva, T.G., Development of Brain Organization of Working Memory in Young School Children, Human Physiol., 2011, vol. 37, no. 1, p. 1.

    Article  Google Scholar 

  38. Foxe, J.J. and Simpson, G.V., Flow of Activation from V1 to Frontal Cortex in Humans. A Framework for Defining “Early” Visual Processing, Exp. Brain Res., 2002, vol. 142, p. 139.

    Article  PubMed  Google Scholar 

  39. Petrenko, N.E., Event-Related Potentials Associated with Shift in the Strategy of Visual Perception during Recognition of a Hierarchical Stimulus, Human Physiol., 2008, vol. 34, no. 3, p. 282.

    Article  Google Scholar 

  40. Stolarova, M., Keil, A. and Moratti, S., Modulation of the C1 Visual Event-Related Component by Conditioned Stimuli: Evidence for Sensory Plasticity in Early Affective Perception, Cerebral Cortex, 2006, vol. 16, no. 6, p. 876.

    Article  PubMed  Google Scholar 

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Original Russian Text © D.A. Farber, N.E. Petrenko, 2012, published in Fiziologiya Cheloveka, 2012, Vol. 38, No. 5, pp. 5–15.

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Farber, D.A., Petrenko, N.E. Development of mechanisms of recognition of fragmented images differing in the degree of fragmentation in children of preschool and primary school ages. Hum Physiol 38, 453–462 (2012). https://doi.org/10.1134/S0362119712050052

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