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Predicted Brain Age After Stroke.

Natalia Egorova1,2, Franziskus Liem3, Vladimir Hachinski4,5

  • 1Division of Behavioural Neuroscience, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.

Frontiers in Aging Neuroscience
|January 11, 2020
PubMed
Summary
This summary is machine-generated.

Stroke survivors show a higher biological brain age compared to chronological age-matched controls. This advanced brain aging, evident early and sustained post-stroke, suggests a cumulative cerebrovascular burden and highlights brain age as a potential stroke risk biomarker.

Keywords:
age predictionbrain agechronological agestrokestructural magnetic resonance imaging

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Gerontology

Background:

  • Aging is a primary non-modifiable risk factor for stroke, typically assessed by chronological age.
  • Biological brain age, estimated from brain imaging, may offer a more sensitive measure of brain health than chronological age.

Purpose of the Study:

  • To investigate differences in biological brain age between stroke survivors and age-matched controls.
  • To examine the longitudinal trajectory of brain age in stroke survivors.

Main Methods:

  • Brain age estimation using cortical and subcortical brain measures.
  • Longitudinal assessment at 6 weeks, 3 months, and 12 months post-stroke.
  • Comparison between stroke survivors and chronologically age-matched healthy controls.

Main Results:

  • Stroke survivors exhibited a significantly higher brain age compared to controls, with differences ranging from 3.9 to 8.7 years.
  • This brain age gap was present at 6 weeks post-stroke and persisted at 3 and 12 months.
  • Early detection of brain age differences suggests a gradual accumulation of cerebrovascular damage.

Conclusions:

  • Biological brain age is a more sensitive indicator of brain health in stroke survivors than chronological age.
  • Elevated brain age in stroke patients points to underlying cerebrovascular burden.
  • Brain age prediction holds promise as a biomarker for quantifying stroke risk.