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Related Experiment Video

Updated: May 1, 2026

A Lateralized Odor Learning Model in Neonatal Rats for Dissecting Neural Circuitry Underpinning Memory Formation
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Modular structure of functional networks in olfactory memory.

David Meunier1, Pierre Fonlupt2, Anne-Lise Saive1

  • 1Olfaction: from coding to memory team, INSERM U1028, CNRS UMR 5292 - Université Lyon 1, Lyon F-69366, France.

Neuroimage
|March 26, 2014
PubMed
Summary

This study introduces a new graph theory method to analyze brain networks during odor recognition memory tasks. The findings reveal distinct modular brain structures linked to memory performance and individual strategies in young and elderly adults.

Keywords:
Functional connectivityGraph theoryModularityNeural networkOlfactory memorySignal detection theory

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Network Science

Background:

  • Graph theory and modular structure decomposition are valuable tools for analyzing complex systems, including brain networks.
  • Understanding memory, a distributed cognitive process, benefits from network analysis of functional magnetic resonance imaging (fMRI) data.
  • Previous research highlights the importance of modularity in brain function, but methods for analyzing task-related modular structure in fMRI data are evolving.

Purpose of the Study:

  • To propose and validate a novel method for identifying modular structure in task-related functional magnetic resonance imaging (fMRI) networks.
  • To investigate how modular brain organization differs between young and elderly adults during an odor recognition memory task.
  • To explore the relationship between modular network properties, memory performance, and behavioral strategies.

Main Methods:

  • Developed a new method to directly derive modular structure from weighted and signed correlation coefficients of fMRI data.
  • Applied the method to fMRI data from young and elderly adults performing a yes-no odor recognition memory task, analyzing four response categories (Hit, False Alarm, Correct Rejection, Miss).
  • Calculated condition-based modular partitions and analyzed their similarity, homogeneity, and correlation with behavioral measures.

Main Results:

  • Condition-based modular partitions were more homogeneous in young adults compared to elderly adults.
  • Specific brain areas (hippocampus, caudate nucleus, anterior cingulate gyrus) showed increased co-modularization during correct odor recognition (Hit) compared to other conditions.
  • Modularity values correlated negatively with memory scores and positively with bias scores, with the proportion of positive and negative links between modules explaining significant variance.

Conclusions:

  • Neural networks involved in odor recognition memory exhibit modular organization.
  • This modular organization is dynamic and linked to behavioral outcomes, including memory accuracy and individual response strategies.
  • The developed method provides insights into age-related differences in brain network modularity during memory tasks.