Altered brain network centrality in patients with mild cognitive impairment: an fMRI study using a voxel-wise degree

Jing Xiong1, Chao Yu1, Ting Su2,3

  • 1Department of Ophthalmology and Geriatric Medicine, The First Affiliated Hospital of Nanchang University, Jiangxi Center of Natural Ocular Disease Clinical Research Center, Nanchang 330006, Jiangxi, China.

Aging
|June 9, 2021
PubMed
Abstract

Insights

This study reveals distinct brain connectivity patterns in individuals with mild cognitive impairment (MCI), a potential early sign of Alzheimer's disease. These altered functional connectivity measures show promise for diagnosing MCI and understanding Alzheimer's progression.

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Cognitive Science

Background:

  • Alzheimer's disease is characterized by amyloid beta accumulation and abnormal brain activity.
  • Mild cognitive impairment (MCI) represents an early stage of Alzheimer's disease.
  • Investigating functional connectivity is crucial for understanding early disease pathology.

Purpose of the Study:

  • To investigate functional connectivity alterations in patients with mild cognitive impairment (MCI).
  • To identify specific brain regions exhibiting altered functional connectivity in MCI.
  • To assess the diagnostic potential of these connectivity changes.

Main Methods:

  • Recruited 12 MCI patients and 12 healthy controls (HCs), matched for demographics.
  • Utilized resting-state functional magnetic resonance imaging (fMRI) scans.
  • Employed voxel-wise degree centrality (DC) to analyze brain network connectivity strength.

Main Results:

  • MCI patients showed lower DC in the left inferior temporal gyrus compared to HCs.
  • Significantly higher DC was observed in the right fusiform gyrus and left supplementary motor area in MCI patients.
  • DC values demonstrated high accuracy in differentiating MCI from HCs (AUCs up to 1.000).

Conclusions:

  • Abnormal functional connectivity in specific brain regions is associated with MCI.
  • These findings may indicate early pathological processes in Alzheimer's disease development.
  • Altered connectivity patterns could be valuable for clinical diagnosis and treatment strategies for MCI.

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