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Dataset Information

Phenotype fingerprinting of bipolar disorder prodrome.


ABSTRACT:

Background

Detecting prodromal symptoms of bipolar disorder (BD) has garnered significant attention in recent research, as early intervention could potentially improve therapeutic efficacy and improve patient outcomes. The heterogeneous nature of the prodromal phase in BD, however, poses considerable challenges for investigators. Our study aimed to identify distinct prodromal phenotypes or "fingerprints" in patients diagnosed with BD and subsequently examine correlations between these fingerprints and relevant clinical outcomes.

Methods

20,000 veterans diagnosed with BD were randomly selected for this study. K-means clustering analysis was performed on temporal graphs of the clinical features of each patient. We applied what we call "temporal blurring" to each patient image

SUBMITTER: Shao Y 

PROVIDER: S-EPMC10195932 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature