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Common neural substrates for ordinal representation in short-term memory, numerical and alphabetical cognition

(2014) PLOS ONE. 9(3).
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The integrative neuroscience of behavioral control (Neuroscience)
Abstract
The representation and maintenance of serial order information is one of the main functions of verbal short-term memory (STM) but its neural correlates remain poorly understood. We show here that the neural substrates allowing for coding of order information in STM are shared with those supporting ordinal processing in the numerical and alphabetical domains. We designed an fMRI experiment determining the neural substrates sensitive to ordinal distance effects in numerical judgment, alphabetical judgment and serial order STM tasks. Null conjunction analyses for parametric ordinal distance effects showed a common involvement of the horizontal segment of the left intraparietal sulcus over the three tasks; in addition, right intraparietal sulcus involvement was also observed for ordinal distance effects in the STM and numerical judgment tasks. These findings demonstrate that shared neural correlates in the intraparietal cortex support processing of order information in verbal STM, number and alphabetical domains, and suggest the existence of domain general, potentially ordinal, comparison processes supported by the left intraparietal sulcus.
Keywords
ATTENTION, NETWORK MODEL, FMRI, INFORMATION, POSTERIOR PARIETAL CORTEX, SERIAL-ORDER, LEFT INTRAPARIETAL SULCUS, NEURONAL-ACTIVITY, WORKING-MEMORY, CEREBRAL-CORTEX

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Citation

Please use this url to cite or link to this publication:

Chicago
Attout, Lucie, Wim Fias, Eric Salmon, and Steve Majerus. 2014. “Common Neural Substrates for Ordinal Representation in Short-term Memory, Numerical and Alphabetical Cognition.” Plos One 9 (3).
APA
Attout, L., Fias, W., Salmon, E., & Majerus, S. (2014). Common neural substrates for ordinal representation in short-term memory, numerical and alphabetical cognition. PLOS ONE, 9(3).
Vancouver
1.
Attout L, Fias W, Salmon E, Majerus S. Common neural substrates for ordinal representation in short-term memory, numerical and alphabetical cognition. PLOS ONE. 2014;9(3).
MLA
Attout, Lucie et al. “Common Neural Substrates for Ordinal Representation in Short-term Memory, Numerical and Alphabetical Cognition.” PLOS ONE 9.3 (2014): n. pag. Print.
@article{5803569,
  abstract     = {The representation and maintenance of serial order information is one of the main functions of verbal short-term memory (STM) but its neural correlates remain poorly understood. We show here that the neural substrates allowing for coding of order information in STM are shared with those supporting ordinal processing in the numerical and alphabetical domains. We designed an fMRI experiment determining the neural substrates sensitive to ordinal distance effects in numerical judgment, alphabetical judgment and serial order STM tasks. Null conjunction analyses for parametric ordinal distance effects showed a common involvement of the horizontal segment of the left intraparietal sulcus over the three tasks; in addition, right intraparietal sulcus involvement was also observed for ordinal distance effects in the STM and numerical judgment tasks. These findings demonstrate that shared neural correlates in the intraparietal cortex support processing of order information in verbal STM, number and alphabetical domains, and suggest the existence of domain general, potentially ordinal, comparison processes supported by the left intraparietal sulcus.},
  articleno    = {e92049},
  author       = {Attout, Lucie and Fias, Wim and Salmon, Eric and Majerus, Steve},
  issn         = {1932-6203},
  journal      = {PLOS ONE},
  keywords     = {ATTENTION,NETWORK MODEL,FMRI,INFORMATION,POSTERIOR PARIETAL CORTEX,SERIAL-ORDER,LEFT INTRAPARIETAL SULCUS,NEURONAL-ACTIVITY,WORKING-MEMORY,CEREBRAL-CORTEX},
  language     = {eng},
  number       = {3},
  pages        = {15},
  title        = {Common neural substrates for ordinal representation in short-term memory, numerical and alphabetical cognition},
  url          = {http://dx.doi.org/10.1371/journal.pone.0092049},
  volume       = {9},
  year         = {2014},
}

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