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Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging.

Krishnakant V Saboo1, Chang Hu1, Yogatheesan Varatharajah1

  • 1University of Illinois, Urbana-Champaign, IL, United States; Mayo Clinic, Rochester MN, United States.

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Specific brain structures predict cognitive decline and aging differences. Key areas like the medial temporal lobe and corpus callosum help identify individuals at risk, aiding early intervention strategies for cognitive health.

Keywords:
Brain reserveCognitive agingCognitive heterogeneityDeep learning

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Area of Science:

  • Neuroscience
  • Gerontology
  • Medical Imaging

Background:

  • Cognitive decline and aging show significant individual variability.
  • Identifying specific brain structures linked to cognitive trajectories is crucial for early risk screening.
  • Factors like brain amyloid and vascular health influence cognitive aging but their interaction with brain structure is complex.

Purpose of the Study:

  • To identify specific brain structures predictive of individual cognitive aging trajectories.
  • To understand how these structures contribute to cognitive resilience or vulnerability.
  • To elucidate the role of identified brain structures in mediating the effects of amyloid and vascular health on cognition.

Main Methods:

  • Utilized deep learning models on data from the Mayo Clinic Study of Aging (1432 participants).
  • Employed model-interpretation techniques to pinpoint predictive brain structures.
  • Analyzed gray matter regions and white matter tracts for their association with cognitive decline.

Main Results:

  • Identified a subset of brain structures significantly predicting individualized cognitive trajectories.
  • These structures explained cognitive resilience or vulnerability in the face of aging pathologies.
  • Medial temporal lobe, fornix, and corpus callosum were key structures, accounting for 60% of the explained heterogeneity.
  • These structures explained resilience to elevated brain amyloid and poor vascular health.

Conclusions:

  • Specific brain structures are key determinants of cognitive aging heterogeneity.
  • Medial temporal lobe, fornix, and corpus callosum are critical for understanding cognitive resilience and vulnerability.
  • Findings support targeted screening for cognitive decline risk and development of interventions.