Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline.

ABSTRACT: Subjective cognitive decline is potentially the earliest symptom of Alzheimer's disease, whose objective neurological basis remains elusive. To explore the potential biomarkers for subjective cognitive decline, we developed a novel deep learning method based on multiscale dynamical brain functional networks to identify subjective cognitive declines. We retrospectively constructed an internal data set (with 112 subjective cognitive decline and 64 healthy control subjects) to develop and internally validate the deep learning model. Conventional deep learning methods based on static and dynamic brain functional networks are compared. After the model is established, we prospectively collect an external data set (26 subjective cognitive decline and 12 healthy control subjects) for testing. Mean

SUBMITTER: Liu M 

PROVIDER: S-EPMC10833653 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature