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Updated: Jun 30, 2025

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Structural brain networks correlating with poststroke cognition.

Sonia L E Brownsett1,2,3, Leeanne M Carey4,5, David Copland1,2,3

  • 1Centre of Research Excellence in Aphasia Recovery and Rehabilitation, La Trobe University, Melbourne, Victoria, Australia.

Human Brain Mapping
|March 23, 2024
PubMed
Summary
This summary is machine-generated.

Structural brain connectivity, not focal lesions, predicts cognitive recovery after stroke. White matter tracts like the cingulum and corpus callosum are key biomarkers for cognitive function assessed by MoCA and MMSE.

Keywords:
MMSEMoCAcognitionconnectometrystrokewhite matter

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Area of Science:

  • Neuroscience
  • Neurology
  • Radiology

Background:

  • Cognitive deficits are common after stroke, impacting recovery.
  • Understanding neurobiological markers for post-stroke cognition is limited.
  • Focal lesions and structural connectivity influence cognitive function.

Purpose of the Study:

  • Investigate the impact of focal lesions and structural connectivity on post-stroke cognition.
  • Identify neurobiological biomarkers predicting cognitive recovery.
  • Examine cross-sectional and longitudinal relationships between brain structure and cognition.

Main Methods:

  • Longitudinal observational study of 62 stroke patients.
  • Advanced brain imaging (multi-shell diffusion-weighted MRI) and cognitive assessments (MoCA, MMSE) at 3 and 12 months.
  • Voxel-based lesion-symptom mapping and correlational tractography.

Main Results:

  • Voxel-based lesion-symptom mapping showed no significant findings.
  • Correlational tractography revealed positive associations between MoCA/MMSE scores and bilateral cingulum and corpus callosum.
  • These associations were observed cross-sectionally at 3 months and longitudinally.

Conclusions:

  • A consistent structural connectome, rather than focal lesions, underpins cognitive screening tool performance (MoCA, MMSE) post-stroke.
  • Clinicians should consider cognitive decline when lesions affect specific white matter tracts.
  • Findings encourage novel diagnostic approaches for cognitive decline regardless of stroke etiology.