Regional myocardial motion in patients with mild cognitive impairment: a pilot study

Heng Ma1,2, Jun Yang1, Haizhu Xie1

  • 1Department of Radiology, Yuhuangding Hospital, Qingdao University School of Medicine, 20 E Yuhuangding Rd, Yantai, 264000, Shandong, China.

Abstract

Insights

Individuals with mild cognitive impairment (MCI) exhibit altered heart muscle motion detected by cardiac MRI. These cardiac MRI findings may serve as early indicators for neurodegenerative diseases like Alzheimer's disease.

Area of Science:

  • Cardiology
  • Neurology
  • Radiology

Background:

  • Cardiovascular disease (CVD) is a known risk factor for cognitive impairment in the elderly.
  • Subclinical CVD manifestations are observed in patients with cognitive impairment.
  • This study investigated differences in cardiac MRI-derived myocardial motion between MCI patients and healthy controls.

Purpose of the Study:

  • To test the hypothesis that patients with mild cognitive impairment (MCI) exhibit distinct magnetic resonance imaging (MRI)-derived regional myocardial motion indices compared to healthy controls.
  • To explore the potential of cardiac MRI parameters as biomarkers for neurodegenerative disorders.

Main Methods:

  • Eleven MCI patients and 11 age-/sex-matched healthy controls underwent head and cardiac MRI.
  • Global cortical atrophy (GCA) was assessed from head MRI.
  • Cardiac MRI measured left ventricular ejection fraction (LVEF), regional strain, strain rate, displacement, and velocity.
  • Statistical comparison using t-tests was performed between groups.

Main Results:

  • MCI patients showed higher GCA scores (p=0.048) but similar LVEF compared to controls.
  • Significantly lower peak radial strain, peak diastolic radial and circumferential strain rates, peak systolic radial displacement, and peak diastolic radial and circumferential velocities were observed in MCI patients (all p<0.005).

Conclusions:

  • Cardiac MRI-derived regional myocardial motion indices differ significantly between MCI patients and healthy controls.
  • These quantitative imaging biomarkers hold potential for identifying individuals at risk for neurodegenerative diseases like Alzheimer's disease.

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