Montreal Cognitive Assessment

Biomarker18 papers2 findings

  • Human trial2
  • Humans15

Associations

2

Dementia

upin humans1

1 study
  1. Montreal Cognitive Assessment predicts dementia in humans (AUC 0.83).

    HumansSpanish-tested participantsn = 1,780

    Optimal MoCA cutoffs are lower among Spanish-speaking Latinos · Applied neuropsychology. Adult · 28 Sep 2026

Dementia →

Mild cognitive impairment

upin humans1

1 study
  1. Montreal Cognitive Assessment predicts mild cognitive impairment in humans (AUC 0.70).

    HumansSpanish-tested participantsn = 1,780

    Optimal MoCA cutoffs are lower among Spanish-speaking Latinos · Applied neuropsychology. Adult · 28 Sep 2026

Mild cognitive impairment →

Latest

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GeroScienceHumans

Higher fitness links to lower cognitive impairment in frail adults

In prefrail and frail adults, top-quartile cardiorespiratory fitness was tied to lower odds of cognitive impairment (OR 0.15) versus the lowest…In prefrail and frail adults, top-quartile cardiorespiratory fitness was tied to lower odds of cognitive impairment (OR 0.15) versus the lowest quartile.

Frontiers in NeurologyHumans

Osteocalcin links brain volume to cognition in osteoporosis

In people with osteoporosis, higher undercarboxylated osteocalcin correlated with greater medial prefrontal cortex volume, which predicted one-year…In people with osteoporosis, higher undercarboxylated osteocalcin correlated with greater medial prefrontal cortex volume, which predicted one-year cognitive decline with an AUC of 0.84.

medRxivHumansPreprint

Brain MRI predicts conversion to mild cognitive impairment

Adding brain MRI to baseline traits predicted conversion from subjective decline to mild impairment with an AUC of 0.923 at five years.Adding brain MRI to baseline traits predicted conversion from subjective decline to mild impairment with an AUC of 0.923 at five years.

medRxivIn silicoPreprint

Automated tool counts teeth from routine brain MRI

The model counted teeth with a mean absolute error of 1.96 and matched manual associations with cognitive scores in a 233-person cohort.The model counted teeth with a mean absolute error of 1.96 and matched manual associations with cognitive scores in a 233-person cohort.