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Abnormal Functional Attributes of Central Executive Network in Patients with Mild Cognitive Impairment Associated

Wenqing Li1, Wei Sun2, Di Wang3

  • 1Department of Radiology, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou 213000, China.

Academic Radiology
|August 1, 2024
PubMed
Abstract

Insights

Mild cognitive impairment (MCI) in end-stage renal disease (ESRD) patients shows reduced central executive network (CEN) efficiency. This study developed a diagnostic model for early detection of cognitive impairment in ESRD patients.

Area of Science:

  • Neuroscience
  • Nephrology
  • Radiology

Background:

  • End-stage renal disease (ESRD) is associated with cognitive impairment.
  • Mild cognitive impairment (MCI) affects a significant portion of ESRD patients.
  • The central executive network (CEN) plays a crucial role in cognitive functions.

Purpose of the Study:

  • To investigate alterations in the central executive network (CEN) in patients with mild cognitive impairment (MCI) and end-stage renal disease (ESRD).
  • To develop a diagnostic model for MCI in ESRD patients using neuroimaging data.

Main Methods:

  • 121 ESRD patients and 66 healthy controls underwent resting-state functional magnetic resonance imaging (rs-fMRI).
  • Patients were categorized into MCI (n=67) and cognitively unimpaired (n=54) groups.
  • Functional connectivity (FC) analysis of the CEN was performed, and cognitive function was assessed using the Montreal Cognitive Assessment (MoCA).

Main Results:

  • Significant differences in CEN connectivity were observed between the three groups.
  • Patients with MCI due to ESRD exhibited reduced information transmission efficiency in the CEN.
  • A diagnostic model based on imaging features, cognitive scores, and clinical data showed excellent performance.

Conclusions:

  • Altered CEN function is a key factor in the neuropathology of MCI in ESRD patients.
  • The developed diagnostic model shows promise for identifying early cognitive impairment in this population.
  • This study provides potential imaging biomarkers for detecting MCI in ESRD.
Keywords:
Central executive networkEnd-stage renal diseaseMild cognitive impairmentResting-state functional magnetic resonance imaging

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