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Related Concept Videos

Working Memory01:24

Working Memory

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 information.
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
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Hindbrain
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Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or playing an...
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Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter more...

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Updated: May 25, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Functional brain network modularity captures inter- and intra-individual variation in working memory capacity.

Alexander A Stevens1, Sarah C Tappon, Arun Garg

  • 1Department of Psychiatry, Oregon Health & Science University, Portland, Oregon, United States of America. stevenal@ohsu.edu

Plos One
|January 26, 2012
PubMed
Summary
This summary is machine-generated.

Brain network organization, specifically modularity, predicts working memory capacity and daily fluctuations. Higher modularity in the cognitive control network is linked to better and more stable memory performance.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Network Science

Background:

  • Individual differences exist in cognitive abilities like working memory.
  • Daily cognitive performance also varies within individuals.
  • Fluctuations in neural system organization may explain cognitive variability.

Purpose of the Study:

  • To investigate how changes in large-scale neural network organization track changes in working memory capacity.
  • To examine the relationship between resting-state functional connectivity and working memory.

Main Methods:

  • Resting-state functional connectivity MRI was used to measure neural network organization in 22 participants.
  • Graph theory techniques, including modularity and small-worldness, were applied to 34 brain regions.
  • Participants completed working memory tests across two sessions spaced three weeks apart.

Main Results:

  • Network modularity and small-worldness predicted individual differences in working memory capacity.
  • Only modularity predicted intra-individual variation in working memory across sessions.
  • Modularity was strongly associated with the day-to-day variability of working memory.

Conclusions:

  • Intrinsic functional organization of the cognitive control network at rest significantly informs cognitive performance.
  • Network modularity's association with working memory variability suggests efficient brain signaling through optimized module integration and segregation.
  • This highlights the role of neural network organization in cognitive flexibility and performance.