Comparing brain activations associated with working memory and fluid intelligence
Cameron M. Clark,
Linette Lawlor-Savage and
Vina M. Goghari
Intelligence, 2017, vol. 63, issue C, 66-77
Abstract:
Working memory (WM) and fluid intelligence (Gf) are thought to be highly related, though psychometrically distinct cognitive constructs. Both are important in a wide range of cognitively demanding tasks, and predictive of success in educational, occupational, and social domains. From a cognitive perspective, WM and Gf may share a capacity constraint due to the shared demand for attentional resources. Neuroimaging investigations of these two cognitive constructs have suggested similar shared frontal and parietal areas of neural activation as well, though to our knowledge the two have not been investigated in the same population. Here, we examine group level functional activations for tasks of WM (dual n-back), Gf (Raven's Standard Progressive Matrices; RSPM), as well as a theoretically unrelated comparison task of visual word/pseudoword decoding (lexical decision task) in a large sample of healthy young adults (N=63) aged 18–40. Consistent with previous research, results indicate large areas of fronto-parietal activation in response to increasing task demands for the n-back task (dorsolateral, ventrolateral, and rostral prefrontal cortex, premotor cortex, and posterior parietal cortex), which largely subsume similar but more circumscribed regions of activation for the RSPM and lexical decision tasks. These results are discussed in terms of a task-general central network which may underlie performance of WM, Gf, and word decoding tasks alike, and perhaps even goal-directed behaviour more generally.
Keywords: fMRI; Working memory; Fluid intelligence (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160289617300132
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:intell:v:63:y:2017:i:c:p:66-77
DOI: 10.1016/j.intell.2017.06.001
Access Statistics for this article
Intelligence is currently edited by R.J. Haier
More articles in Intelligence from Elsevier
Bibliographic data for series maintained by Catherine Liu ().