The relation between a multicomponent working memory and intelligence: The roles of central executive and short-term storage functions

Wongupparaj, Peera; Kumari, Veena; Morris, Robin G.

doi:10.1016/j.intell.2015.10.007

Cited by 47 publications

(58 citation statements)

References 96 publications

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“…In the framework of process overlap theory, attentional processes represent a central domain-general bottleneck that constrains cognitive performance across different tasks. This notion is supported by several studies reporting substantial associations between measures of attentional control and executive processes and general cognitive abilities (e.g., Unsworth, Fukuda, Awh, & Vogel, 2014;Wongupparaj, Kumari, & Morris, 2015).…”

Section: (1) a Common Latent Processmentioning

confidence: 64%

Individual differences in cortical processing speed predict cognitive abilities: a model-based cognitive neuroscience account

Schubert

Nunez

Hagemann

et al. 2018

Preprint

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Previous research has shown that individuals with greater cognitive abilities display a greater speed of higher-order cognitive processing. These results suggest that speeded neural information-processing may facilitate evidence accumulation during decision making and memory updating and thus yield advantages in general cognitive abilities. We used a hierarchical Bayesian cognitive modeling approach to test the hypothesis that individual differences in the velocity of evidence accumulation mediate the relationship between neural processing speed and cognitive abilities. We found that a higher neural speed predicted both the velocity of evidence accumulation across behavioral tasks as well as cognitive ability test scores. However, only a small part of the association between neural processing speed and cognitive abilities was mediated by individual differences in the velocity of evidence accumulation. The model demonstrated impressive forecasting abilities by predicting 36% of individual variation in cognitive ability test scores in an entirely new sample solely based on their electrophysiological and behavioral data. Our results suggest that individual differences in neural processing speed might affect a plethora of higher-order cognitive processes, that only in concert explain the large association between neural processing speed and cognitive abilities, instead of the effect being entirely explained by differences in evidence accumulation speeds.

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Section: (1) a Common Latent Processmentioning

confidence: 64%

Individual differences in cortical processing speed predict cognitive abilities: a model-based cognitive neuroscience account

Schubert

Nunez

Hagemann

et al. 2018

Preprint

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“…The P3 component has often been interpreted as an indicator of the efficiency of context-updating (Donchin, 1981;Polich, 2007), and thus shorter latencies of the P3 may reflect a faster inhibition of nonessential processes that in turn ease the transmission of information from attention and working memory regions located frontally in the brain to parietal memory storage processes (Polich, 2007). There is additional support for this hypothesis from behavioral studies showing strongest relations between inhibition and updating with intelligence (Wongupparaj, Kumari, & Morris, 2015).…”

Section: Executive Functions: Bridging the Gap Between Processing Spementioning

confidence: 99%

Processing speed, working memory, and executive functions: Independent or inter-related predictors of general intelligence

2019

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“…In cognitive psychology, individual differences in cognitive control are often measured as individual differences in the executive functions updating, shifting, and inhibition (Miyake et al, 2000), with individual differences in updating (Friedman et al, 2006), updating and shifting (Friedman et al, 2008), or updating and inhibition (Wongupparaj, Kumari, & Morris, 2015) being substantially related to intelligence. Moreover, the common variance shared between all three executive functions has also been shown to be associated with intelligence beyond these function-specific associations (Friedman et al, 2006(Friedman et al, , 2008.…”

Section: The Role Of Cognitive Control In Fluid Intelligence: Evidencmentioning

confidence: 99%

A chronometric model of the relationship between frontal midline theta functional connectivity and human intelligence

Schubert¹,

Hagemann²,

Löffler³

et al. 2019

Preprint

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Individual differences in cognitive control have been suggested to act as a domain-general bottleneck constraining performance in a variety of cognitive ability measures including but not limited to fluid intelligence, working memory capacity, and processing speed. However, due to psychometric problems associated with the measurement of individual differences in cognitive control, it has been challenging to empirically test the assumption that individual differences in cognitive control underlie individual differences in cognitive abilities. In the present study, we addressed these issues by analyzing the chronometry of intelligence-related differences in midfrontal global theta connectivity, which has been shown to reflect cognitive control functions. We demonstrate in a sample of 98 adults, who completed a cognitive control task while their EEG was recorded, that individual differences in mid-frontal global theta connectivity during stages of higher-order information-processing explained 65 percent of the variance in fluid intelligence. In comparison, task-evoked theta connectivity during earlier stages of information processing was not related to fluid intelligence. These results suggest that more intelligent individuals benefit from an adaptive modulation of theta-band synchronization during the time-course of information processing. Moreover, they emphasize the role of interregional goal-directed informationprocessing for cognitive control processes in human intelligence and support theoretical accounts of intelligence which propose that individual differences in cognitive control processes give rise to individual differences in cognitive abilities.

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The relation between a multicomponent working memory and intelligence: The roles of central executive and short-term storage functions

Cited by 47 publications

References 96 publications

Individual differences in cortical processing speed predict cognitive abilities: a model-based cognitive neuroscience account

Individual differences in cortical processing speed predict cognitive abilities: a model-based cognitive neuroscience account

Processing speed, working memory, and executive functions: Independent or inter-related predictors of general intelligence

A chronometric model of the relationship between frontal midline theta functional connectivity and human intelligence

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