Objectives:
Delays in the diagnosis and detection of bipolar disorder can lead to
adverse consequences, including improper treatment and increased suicide
risk. The Mood Spectrum Self-Report Measure (MOODS-SR) was designed to
capture the full spectrum of lifetime mood symptomology with factor scores
for depression and mania symptom constellations. The utility of the MOODS-SR
as a tool to investigate homogenous subgroups was examined, with particular
focus on a possible bipolar risk subgroup. Moreover, potential patterns of
differences in MOODS-SR subtypes were probed using cognitive
vulnerabilities, neuropsychological functioning, and ventral striatum
connectivity.
Methods:
K-mean cluster analysis based upon factor scores of MOODS-SR was used
to determine homogenous subgroupings within a healthy and remitted depressed
young adult sample (N=86). Between-group comparisons (based upon cluster
sub-groupings) were conducted on measures of cognitive vulnerabilities,
neuropsychological functioning, and ventral striatum rs-fMRI
connectivity.
Results:
Three groups of participants were identified: one with minimal
symptomology, one with moderate primarily depressive symptomology, and one
with more severe manic and depressive symptomology. Differences in
impulsivity, neuroticism, conscientiousness, facial perception accuracy, and
rs-fMRI connectivity exist between moderate and severe groups.
Conclusions:
Within a sample of people with and without depression histories, a
severe subgroup was identified with potentially increased risk of developing
bipolar disorder through use of the MOODS-SR. This small subgroup had higher
levels of lifetime depression and mania symptoms. Additionally, differences
in traits, affective processing, and connectivity exist between those with a
more prototypic unipolar subgrouping and those with potential risk for
developing bipolar disorder.