How perceptual processes help to generate new meaning: An EEG study of chunk decomposition in Chinese characters

Chunk decomposition has been regarded as an important process in problem solving that helps problem solvers to generate new solution paths through changing inappropriate problem representations. We studied the neural bases of chunk decomposition in Chinese characters using the electroencephalogram (EEG). Participants decomposed Chinese characters either at the level of radicals or at the level of strokes to generate new target characters with a different meaning. We hypothesized that decomposition at the stroke level would require a more fundamental change in the problem representation that should involve differences in basic visual processing. To test this hypothesis, we compared the alpha rhythm (8-13 Hz) over parietal-occipital regions between the two different conditions. The regrouping of tight chunks (stroke level) exhibited a stronger alpha activation than the regrouping of loose chunks approximately 500 ms prior to response. Thus visual areas were less active during the decomposition of tight chunks. Together with a previous fMRI study the results provide convincing evidence that attenuation of early visual information is required to generate new meaning.

[1]  Kazuhisa Niki,et al.  Perceptual contributions to problem solving: Chunk decomposition of Chinese characters , 2006, Brain Research Bulletin.

[2]  J. Born,et al.  Sleep inspires insight , 2004, Nature.

[3]  Yiping Chen,et al.  Effects of Word Form on Brain Processing of Written Chinese , 2002, NeuroImage.

[4]  G. Pfurtscheller,et al.  Functional dissociation of lower and upper frequency mu rhythms in relation to voluntary limb movement , 2000, Clinical Neurophysiology.

[5]  J. Metcalfe Feeling of knowing in memory and problem solving. , 1986 .

[6]  Mark T. Keane,et al.  Advances in the psychology of thinking , 1992 .

[7]  G Pfurtscheller,et al.  Event-related desynchronization (ERD) during visual processing. , 1994, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[8]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[9]  X. Mai,et al.  “Aha!” effects in a guessing riddle task: An event‐related potential study , 2004, Human brain mapping.

[10]  Edward M. Bowden,et al.  Neural Activity When People Solve Verbal Problems with Insight , 2004, PLoS biology.

[11]  Hellmuth Obrig,et al.  Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy , 2003, NeuroImage.

[12]  K. D. Singh,et al.  Negative BOLD in the visual cortex: Evidence against blood stealing , 2004, Human brain mapping.

[13]  G. Pfurtscheller Event-related synchronization (ERS): an electrophysiological correlate of cortical areas at rest. , 1992, Electroencephalography and clinical neurophysiology.

[14]  Lars Kai Hansen,et al.  ERPWAVELAB A toolbox for multi-channel analysis of time–frequency transformed event related potentials , 2007, Journal of Neuroscience Methods.

[15]  G. Pfurtscheller,et al.  Event-related dynamics of cortical rhythms: frequency-specific features and functional correlates. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[16]  E. Basar,et al.  Gamma, alpha, delta, and theta oscillations govern cognitive processes. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[17]  S. Makeig Auditory event-related dynamics of the EEG spectrum and effects of exposure to tones. , 1993, Electroencephalography and clinical neurophysiology.

[18]  Steven Phillips,et al.  Neural correlates of the ‘Aha! reaction’ , 2004, Neuroreport.

[19]  Kensuke Sekihara,et al.  Activation of Lateral Extrastriate Areas during Orthographic Processing of Japanese Characters Studied with fMRI , 1999, NeuroImage.

[20]  Jing Luo,et al.  Studying insight problem solving with neuroscientific methods. , 2007, Methods.

[21]  Edward M. Bowden,et al.  New approaches to demystifying insight , 2005, Trends in Cognitive Sciences.

[22]  A. Villringer,et al.  Simultaneous EEG–fMRI , 2006, Neuroscience & Biobehavioral Reviews.

[23]  S. Ohlsson,et al.  Constraint relaxation and chunk decomposition in insight problem solving , 1999 .

[24]  Gary E. Raney,et al.  An eye movement study of insight problem solving , 2001, Memory & cognition.

[25]  L. M. Ward,et al.  Synchronous neural oscillations and cognitive processes , 2003, Trends in Cognitive Sciences.

[26]  Edward M. Bowden,et al.  Aha! Insight experience correlates with solution activation in the right hemisphere , 2003, Psychonomic bulletin & review.

[27]  C. D. Frith,et al.  The Role of the Dorsolateral Prefrontal Cortex: Evidence from the Effects of Contextual Constraint in a Sentence Completion Task , 2002, NeuroImage.

[28]  P. Fox,et al.  Neuroanatomical correlates of phonological processing of Chinese characters and alphabetic words: A meta‐analysis , 2005, Human brain mapping.

[29]  K. Duncker,et al.  On problem-solving , 1945 .

[30]  C. Reverberi,et al.  Better without (lateral) frontal cortex? Insight problems solved by frontal patients. , 2005, Brain : a journal of neurology.

[31]  P. Fox,et al.  The Neural System Underlying Chinese Logograph Reading , 2001, NeuroImage.

[32]  S. Ohlsson Information-processing explanations of insight and related phenomena , 1992 .

[33]  Kevin M. Brooks,et al.  Thoughts beyond words : When language overshadows insight , 1993 .

[34]  M. Scheerer,et al.  Problem Solving , 1967, Nature.

[35]  L. Tan,et al.  Reading depends on writing, in Chinese. , 2005, Proceedings of the National Academy of Sciences of the United States of America.