Routine magnetoencephalography in memory clinic patients: A machine learning approach.

ABSTRACT:

Introduction

We report the routine application of magnetoencephalography (MEG) in a memory clinic, and its value in the discrimination of patients with Alzheimer's disease (AD) dementia from controls.

Methods

Three hundred sixty-six patients visiting our memory clinic underwent MEG recording. Source-reconstructed MEG data were visually assessed and evaluated in the context of clinical findings and other diagnostic markers. We analyzed the diagnostic accuracy of MEG spectral measures in the discrimination of individual AD dementia patients (n = 40) from subjective cognitive decline (SCD) patients (n = 40) using random forest models.

Results

Best discrimination was obtained using a combination of relative theta and delta power (accuracy 0.846, sensitivity 0.855, specifi

SUBMITTER: Gouw AA 

PROVIDER: S-EPMC8449227 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature