DIFFERENTIAL INTERHEMISPHERIC TRANSFER
FOR ABSTRACT AND SPECIFIC VISUAL-FORM INFORMATION

Christopher D. Nicholas & Chad J. Marsolek
University of Arizona

(Presented at the 3rd Annual Meeting of the Cognitive Neuroscience Society, San Fransisco, CA, April 1996)


Introduction

Evidence from long-term memory experiments suggests that relatively independent visual-form subsystems operate in the brain:

(Marsolek, 1995; Marsolek, Kosslyn, & Squire, 1992; Marsolek, Schacter, & Nicholas, in press)

In this experiment, we test whether similar results will be obtained in short-term memory comparison tasks. More important, we examine whether computational properties of these subsystems determine interhemispheric communication of visual information.



Experiment 1

Two Comparison Tasks:


Example Displays

 EXAMPLE TRIAL DISPLAYS


Method

Each trial consisted of a stimulus array with 4 characters (see above):

The stimulus displays were of two types:

Letters within a pair varied in their visual similarity:
48 subjects performed 256 trials of each comparison task (see above) per experiment:
Dependent variables:


Predictions

If SVF and AVF subsystems underlie comparisons in the SI and AC tasks, respectively, then:
If a single, undifferentiated subsystem underlies comparisons in the SI and AC tasks, then:

 FIGURE: RESULTS FROM WH TRIALS ONLY


Interhemispheric Communication

When subjects compare two letters, interhemispheric transfer of visual information must take place when the letters are displayed in different visual fields (i.e., across-hemispheres [AH]), but not when they are displayed in the same field (i.e., within-hemisphere [WH]).

  • AH processing requires interhemispheric transfer
  • WH processing doesn't require interhemispheric transfer
  •  FIGURE: AH PROCESSING  FIGURE: WH PROCESSING

    When the cerebral hemispheres must communicate with each other, performance involves a trade-off between distribution and degradation (Banich & Nicholas, in press)

    AH trials:

    WH trials:


     FIGURE: RESULTS FROM WH AND AH TRIALS (COLLAPSED)

    Complexity Interpretations

    Hemispheric distribution may be effective only when independent processes can be insulated from each other (Liederman, 1986; Liederman, Merola, & Hoffman, 1986).

    The AC task requires perceptual and phonological or name processing:

    The SI task requires only perceptual processing:

    Thus, an AH advantage is found for the AC task because it requires two stages of processing, whereas a WH advantage is found for the SI task because it requires only one stage of processing (Banich & Belger, 1990).


    Subsystems Interpretation

    An AVF subsystem is needed in the AC task. This subsystem should process relatively invariant features effectively, treating minor visual differences as noise that should be ignored:
    An SVF subsystem is needed in the SI task. This subsystem should process visually distinctive information effectively, treating visual differences as essential information:

    Thus, an AH advantage is found for the AC task because the costs of degradation do not outweigh the benefits of distribution, whereas a WH advantage is found for the SI task because the costs of degradation do outweigh the benefits of distribution.


    Predictions

    If the complexity of the comparison tasks (number of processing stages required) determines the efficacy of interhemispheric communication:

    If the computational properties of the processing subsystems needed to perform the comparisons tasks determines the efficacy of interhemispheric communication:

    For similar-case letters (e.g., S/s):

    For Dissimilar-case letters (e.g., A/a):

     FIGURE: RESULTS FROM WH AND AH TRIALS (SIMILAR-CASE)
     FIGURE: RESULTS FROM WH AND AH TRIALS (DISSIMILAR-CASE)


    Experiment 2

    In Experiment 1, an AH advantage in the AC task and a WH advantage in the SI task were found for one set of letters, but not for another set. Presumably, this is because the former set, but not the latter, was comprised of letters with similar lower- verses uppercase visual structures.

    In this experiment, we test whether case similarity is the crucial difference between letter groups by using the dissimilar-case letters used in Experiment 1 and presenting visually similar instances of the same dissimilar-case letter (e.g.,  Helvetica A and  Courier A ; making them like the similar-case letters used in Experiment 1).


    Method

    Each trial consisted of a stimulus array with 4 characters (see above):
    The stimulus displays were of two types:

    Only dissimilar-case letters were used, however different instances in the same abstract categories were always different-font, same-case items (e.g.,  Helvetica A and  Courier A ), not different-case items (e.g., A and a) as in Experiment 1.

    48 subjects performed 256 trials of each comparison task (see above) per experiment:

    Dependent variables:


    Predictions

    If the different results between dissimilar- and similar-case letters in Experiment 1 were obtained because those two sets of letters are always processed in qualitatively different manners in the brain that result in different patterns of interhemispheric communication:

    If the different-font (but same-case) instances of dissimilar-case letters ( Helvetica A / Courier A ) are processed like different-case instances of similar-case letters (S/s):

     FIGURE: RESULTS FROM WH AND AH TRIALS (EXPERIMENT 2)


    Summary

    Hemispheric asymmetries for Abstract and Specific Visual-Form Comparisons:
    Comparing different-case versions of similar-case letters (S/s):
    Comparing different-case versions of dissimilar-case letters (A/a):
    Comparing different-font versions of dissimilar-case letters ( Helvetica
A /
Courier A ):


    Conclusions

  • Relatively independent subsystems underlie abstract and specific visual-form comparisons

  • Comparisons that require an Abstract Visual-Form Subsystem:
  • Comparisons that require a Specific Visual-Form Subsystem:


    Implications

    These findings suggest that in order to understand interhemispheric communication and interaction, a computational subsystems approach may be more fruitful than approaches that rely on general principles of communication.


    References

    Banich, M. T., & Belger, A. (1990). Interhemispheric interaction: How do the hemispheres divide and conquer a task? Cortex, 26, 77-94.\

    Banich, M. T., & Nicholas, C. D. (in press). Integration of processing between the cerebral hemispheres in word recognition. In Getting it right: In The cognitive neuroscience of right hemisphere language comprehension. Beeman, M, & Chiarello, C. (Eds.) Hillsdale, N. J.: Lawrence Erlbaum Associates.

    Dimond, S. J., & Beumont, G. (1971). Use of two cerebral hemispheres to increase brain capacity. Nature, 232, 270-271.

    Dimond, S. J., Gibson, A. R., & Gazzaniga, M. S. (1972). Cross-field and within-field integration of visual information. Neuropsychologia, 10, 379-381.

    Liederman, J. (1986). Interhemispheric interference during word naming. International Journal of Neuroscience, 30, 43-56.

    Liederman, J., Merola, J., & Hoffman, C. (1986). Longitudinal data indicate that interhemispheric independence increases during early adolescence. Developmental Neuropsychology, 2, 183-201.

    Marsolek, C. J. (1995). Abstract-visual-form representations in the left cerebral hemisphere. Journal of Experimental Psychology: Human Perception and Performance, 21, 375-386.

    Marsolek, C. J., Kosslyn, S. M., & Squire L. R. (1992). Form-specific visual priming in the right cerebral hemisphere. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 492-508.

    Marsolek, C. J., Schacter, D. L., & Nicholas, C. D. (in press). Form-specific visual priming for new associations in the right cerebral hemisphere. Memory & Cognition.

    Acknowledgements

    This research was supported by the National Institute of Mental Health Grant MH53959-01. The research was also supported by the McDonnell-Pew Cognitive Neuroscience Center, the Program in Neuroscience at the University of Arizona, and the Arizona Cognitive Science Program.

    Please send correspondence to: