Episodic memory in mild cognitive impairment inversely correlates with the global modularity of the cerebral blood

Carlos A Sánchez-Catasús1, Antoon Willemsen2, Ronald Boellaard2

  • 1Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen, GZ 9713, the Netherlands; Center for Neurological Restoration (CIREN), Ave. 25, No. 15 805, Playa, La Habana 11300, Cuba.

Insights

Cerebral blood flow SPECT reveals altered brain connectivity in mild cognitive impairment (MCI). Individual patient contributions to network modularity correlate with episodic memory, suggesting a potential biomarker for MCI.

Area of Science:

  • Neuroimaging
  • Neurology
  • Network Science

Background:

  • Mild cognitive impairment (MCI) affects brain connectivity.
  • Cerebral blood flow (CBF) SPECT is an accessible tool for assessing neuronal injury.
  • Current CBF SPECT connectivity analysis relies on group networks, limiting individual diagnostic potential.

Purpose of the Study:

  • To investigate the correlation between episodic memory and individual contributions to brain network topology in MCI patients.
  • To explore the potential of developing an individual-level CBF connectivity biomarker for MCI.

Main Methods:

  • Compared topological metrics of CBF SPECT correlation networks between 24 MCI patients and 26 controls.
  • Analyzed individual patient contributions to network metrics that differed significantly between groups.
  • Correlated episodic memory scores with these individual contributions.

Main Results:

  • The MCI group exhibited increased global network modularity and decreased global efficiency compared to controls.
  • Episodic memory showed an inverse correlation with the individual patient's contribution to global network modularity.

Conclusions:

  • Individualized analysis of CBF SPECT networks can reveal significant findings in MCI.
  • The correlation between episodic memory and network modularity contribution suggests a promising avenue for developing individual biomarkers for MCI.

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