Title |
Considering structural connectivity in the triple code model of numerical cognition: differential connectivity for magnitude processing and arithmetic facts
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Published in |
Brain Structure and Function, November 2014
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DOI | 10.1007/s00429-014-0951-1 |
Pubmed ID | |
Authors |
Elise Klein, Julia Suchan, Korbinian Moeller, Hans-Otto Karnath, André Knops, Guilherme Wood, Hans-Christoph Nuerk, Klaus Willmes |
Abstract |
The current study provides a generalizable account of the anatomo-functional associations as well as the connectivity of representational codes underlying numerical processing as suggested by the triple code model (TCM) of numerical cognition. By evaluating the neural networks subserving numerical cognition in two specific and substantially different numerical tasks with regard to both grey matter localizations as well as white matter tracts we (1) considered the possibility of additional memory-related cortex areas crucial for arithmetic fact retrieval (e.g., the hippocampus); (2) specified the functional involvement of prefrontal areas in number magnitude processing, and, finally; (3) identified the connections between these anatomo-functional instantiations of the representations involved in number magnitude processing and arithmetic fact retrieval employing probabilistic fiber tracking. The resulting amendments to the TCM are summarized in a schematic update, and ideas concerning the possible functional interplay between number magnitude processing and arithmetic fact retrieval are discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 4 | 3% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 141 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 33 | 22% |
Researcher | 27 | 18% |
Student > Master | 20 | 14% |
Student > Bachelor | 16 | 11% |
Student > Doctoral Student | 12 | 8% |
Other | 14 | 9% |
Unknown | 26 | 18% |
Readers by discipline | Count | As % |
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Psychology | 72 | 49% |
Neuroscience | 19 | 13% |
Agricultural and Biological Sciences | 6 | 4% |
Arts and Humanities | 3 | 2% |
Computer Science | 3 | 2% |
Other | 14 | 9% |
Unknown | 31 | 21% |