MRI factors associated with cognitive functioning after acute onset brain injury: Systematic review and meta-analysis

Marlous M L H Verhulst1, Astrid B Glimmerveen1, Caroline M van Heugten2

  • 1Clinical Neurophysiology, University of Twente, Enschede, The Netherlands; Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands.

Neuroimage. Clinical
|April 29, 2023
PubMed

Insights

Brain injury often causes memory and attention deficits. Key MRI markers like hippocampal volume and white matter integrity show consistent links to cognitive impairments, aiding in risk identification.

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Neurology

Background:

  • Cognitive impairments, including memory, attention, and executive functioning deficits, are common sequelae of acute onset brain injury.
  • Magnetic Resonance Imaging (MRI) markers offer potential for identifying at-risk patients and elucidating underlying mechanisms of cognitive decline.

Approach:

  • This systematic review synthesized evidence from 98 studies examining associations between various MRI markers and cognitive functions post-acute brain injury.
  • Six classes of MRI factors were analyzed: lesion characteristics, volume/atrophy, small vessel disease, diffusion-weighted imaging (DWI), resting-state functional MRI (rs-fMRI), and arterial spin labeling (ASL).

Key Points:

  • Smaller hippocampal volume consistently correlated with poorer memory across multiple studies.
  • Reduced fractional anisotropy (FA) in the cingulum and fornix was associated with impaired memory.
  • Lower functional connectivity within the default-mode network (DMN) demonstrated a link to worse cognitive performance.

Conclusions:

  • Hippocampal volume, FA in cingulum/fornix, and DMN functional connectivity are reliable MRI markers associated with cognitive outcomes after acute brain injury.
  • Further external validation and the establishment of predictive cutoff values are necessary for the clinical implementation of these MRI markers in predicting cognitive impairments.

Related Concept Videos