Generating diagnostic profiles of cognitive decline and dementia using magnetoencephalography

Neurobiol Aging. 2022 Mar:111:82-94. doi: 10.1016/j.neurobiolaging.2021.11.002. Epub 2021 Nov 11.


Accurate identification of the underlying cause(s) of cognitive decline and dementia is challenging due to significant symptomatic overlap between subtypes. This study presents a multi-class classification framework for subjects with subjective cognitive decline, mild cognitive impairment, Alzheimer's disease, dementia with Lewy bodies, fronto-temporal dementia and cognitive decline due to psychiatric illness, trained on source-localized resting-state magnetoencephalography data. Diagnostic profiles, describing probability estimates for each of the 6 diagnoses, were assigned to individual subjects. A balanced accuracy rate of 41% and multi-class area under the curve value of 0.75 were obtained for 6-class classification. Classification primarily depended on posterior relative delta, theta and beta power and amplitude-based functional connectivity in the beta and gamma frequency band. Dementia with Lewy bodies (sensitivity: 100%, precision: 20%) and Alzheimer's disease subjects (sensitivity: 51%, precision: 90%) could be classified most accurately. Fronto-temporal dementia subjects (sensitivity: 11%, precision: 3%) were most frequently misclassified. Magnetoencephalography biomarkers hold promise to increase diagnostic accuracy in a noninvasive manner. Diagnostic profiles could provide an intuitive tool to clinicians and may facilitate implementation of the classifier in the memory clinic.

Keywords: Cognitive decline; Dementia; Machine learning; Magnetoencephalography; Multi-class classification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Alzheimer Disease
  • Cognitive Dysfunction / diagnosis*
  • Cognitive Dysfunction / etiology
  • Datasets as Topic
  • Dementia / diagnosis*
  • Dementia / etiology
  • Female
  • Humans
  • Machine Learning
  • Magnetoencephalography / methods*
  • Male
  • Mental Disorders / complications
  • Middle Aged
  • Sensitivity and Specificity