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Specifically progressive deficits of brain functional marker in amnestic type mild cognitive impairment

Feng Bai1, David R Watson, Yongmei Shi

  • 1Medical School of Southeast University, Nanjing, China.

Plos One
|September 22, 2011
PubMed
Abstract

Insights

Longitudinal default mode network (DMN) studies in amnestic mild cognitive impairment (aMCI) reveal initial hyper-connectivity followed by significant decreases. These DMN changes correlate with memory decline, aiding aMCI progression monitoring.

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Cognitive Science

Background:

  • Default Mode Network (DMN) deficits are linked to amnestic type mild cognitive impairment (aMCI), a precursor to Alzheimer's disease (AD).
  • Previous research lacked longitudinal studies on DMN changes in aMCI.
  • Understanding DMN development in aMCI is crucial for predicting AD conversion.

Purpose of the Study:

  • To investigate longitudinal changes in the DMN in individuals with aMCI.
  • To explore the relationship between DMN alterations and cognitive decline in aMCI.
  • To assess the potential of DMN patterns for monitoring aMCI progression.

Main Methods:

  • Resting-state functional MRI (fMRI) was used to analyze DMN in 26 aMCI subjects and 18 controls over approximately 20 months.
  • Independent Component Analysis (ICA) was employed to isolate and examine the DMN.
  • Baseline and follow-up DMN differences between groups were compared.

Main Results:

  • At baseline, aMCI subjects showed hyper-functional connectivity in the Posterior Cingulate Cortex/Precuneus (PCC/PCu) compared to controls.
  • By follow-up, aMCI subjects exhibited a significant decrement in PCC/PCu connectivity.
  • This PCC/PCu dysfunction was positively associated with worsening episodic memory impairments in the aMCI group.

Conclusions:

  • Longitudinal DMN deficits provide valuable insights into brain changes during aMCI development.
  • Monitoring DMN patterns may help identify individuals at risk for AD.
  • These findings support the use of DMN analysis for tracking aMCI progression.

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