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Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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Related Experiment Video

Updated: Nov 17, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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A new era for executive function research: On the transition from centralized to distributed executive functioning.

Nicolas Zink1, Agatha Lenartowicz1, Sebastian Markett2

  • 1Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, United States.

Neuroscience and Biobehavioral Reviews
|February 14, 2021
PubMed
Summary

Executive functions (EFs) are re-conceptualized as emergent brain processes, not controlled by a central executive. Network analysis reveals distributed communication in cognitive control.

Keywords:
Brain networksCentral executiveCognitive controlDistributed networksExecutive functionsFlexibilityInhibitionWorking memory

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Area of Science:

  • Cognitive Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Executive functions (EFs) encompass critical cognitive control processes like working memory, inhibition, and cognitive flexibility.
  • A major challenge in EF research is explaining cognitive control without a centralized, ill-defined 'central executive' in the brain.
  • Previous attempts to localize EF control in specific brain regions have yielded limited success in understanding brain self-regulation.

Purpose of the Study:

  • To propose a novel framework for understanding executive functions (EFs) as emergent properties of distributed brain networks.
  • To challenge the traditional 'central executive' model by emphasizing decentralized control mechanisms.
  • To highlight the utility of graph theory and network analysis in studying brain connectivity related to EFs.

Main Methods:

  • Conceptual re-framing of executive functions (EFs) from a centralized to a distributed network perspective.
  • Discussion of graph-theory driven analysis of brain networks as a methodological approach.
  • Integration of theoretical concepts to resolve inconsistencies in the executive function literature.

Main Results:

  • Executive functions (EFs) are proposed to emerge from the communication within highly distributed brain processes and hub regions.
  • This distributed model obviates the need for a singular, central executive.
  • Graph theory provides a holistic framework for analyzing brain connectivity in EFs, offering new hypotheses.

Conclusions:

  • Executive functions (EFs) are best understood as emergent phenomena of complex, distributed brain network interactions.
  • Decentralized communication among highly connected brain regions replaces the need for a central executive.
  • Network science, particularly graph theory, offers powerful tools for investigating the neural basis of EFs and resolving theoretical debates.