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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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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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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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Changes in global and regional modularity associated with increasing working memory load.

Matthew L Stanley1, Dale Dagenbach2, Robert G Lyday1

  • 1Laboratory for Complex Brain Networks, Wake Forest University School of Medicine Winston-Salem, NC, USA.

Frontiers in Human Neuroscience
|December 19, 2014
PubMed
Summary
This summary is machine-generated.

Brain network organization changes with working memory load. Regional network changes occurred with increased task demands, while global network properties related to individual performance, highlighting the need for multi-scale analysis.

Keywords:
complex networkfMRIgraph theorymodularityn-backworking memoryworking memory load

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Network Science

Background:

  • Complex network analysis is increasingly used to study brain function.
  • Working memory involves dynamic changes in brain network organization.
  • Understanding how network topology adapts to cognitive load is crucial.

Purpose of the Study:

  • To investigate the impact of increasing working memory load on functional brain network topology.
  • To examine both global and regional changes in network modularity.
  • To explore the relationship between network properties and behavioral performance.

Main Methods:

  • Utilized graph theory measures on neuroimaging data.
  • Analyzed functional brain network modularity at 1-back and 2-back task conditions.
  • Correlated network properties with behavioral performance on the n-back task.

Main Results:

  • Regional modular organization within default mode and working memory circuits significantly changed with increased working memory load.
  • Regional modularity was not associated with behavioral performance.
  • Global modularity did not change with load but correlated with individual differences in performance.

Conclusions:

  • Regional and global network properties are differentially affected by working memory load.
  • Assessing multiple network features at global and regional scales is important for a comprehensive understanding of brain function.
  • Findings emphasize the complexity of brain network dynamics during cognitive tasks.