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Obesity is highly prevalent and disabling, especially in individuals with severe mental illness including bipolar disorders (BD). The brain is a target organ for both obesity and BD. Yet, we do not understand how cortical brain alterations in BD and obesity interact.
Methods:
We obtained body mass index (BMI) and MRI-derived regional cortical thickness, surface area from 1231 BD and 1601 control individuals from 13 countries within the ENIGMA-BD Working Group. We jointly modeled the statistical effects of BD and BMI on brain structure using mixed effects and tested for interaction and mediation. We also investigated the impact of medications on the BMI-related associations.
Results:
BMI and BD additively impacted the structure of many of the same brain regions. Both BMI and BD were negatively associated with cortical thickness, but not surface area. In most regions the number of jointly used psychiatric medication classes remained associated with lower cortical thickness when controlling for BMI. In a single region, fusiform gyrus, about a third of the negative association between number of jointly used psychiatric medications and cortical thickness was mediated by association between the number of medications and higher BMI.
Conclusions:
We confirmed consistent associations between higher BMI and lower cortical thickness, but not surface area, across the cerebral mantle, in regions which were also associated with BD. Higher BMI in people with BD indicated more pronounced brain alterations. BMI is important for understanding the neuroanatomical changes in BD and the effects of psychiatric medications on the brain.
Schizoaffective disorder, bipolar type (SAD) and bipolar disorder I (BD) present a large clinical overlap. In a 1-year follow-up, we aimed to evaluate days to hospitalization (DTH) and predictors of relapse in a SAD-BD cohort of patients.
Methods.
A 1–year, prospective, naturalistic cohort study considering DTH as primary outcome and incidence of direct and indirect measures of psychopathological compensation as secondary outcomes. Kaplan-Meyer survival analysis with Log-rank Mantel-Cox test compared BD/SAD subgroups as to DTH. After bivariate analyses, Cox regression was performed to assess covariates possibly associated with DTH in diagnostic subgroups.
Results.
Of 836 screened patients, 437 were finally included (SAD = 105; BD = 332). Relapse rates in the SAD sample was n = 26 (24.8%) vs. n = 41 (12.3%) in the BD sample (p = 0.002). Mean ± SD DTH were 312.16 ± 10.6 (SAD) vs. 337.62 ± 4.4 (BD) days (p = 0.002). Patients with relapses showed more frequent suicide acts, violent behaviors, and changes in pharmacological treatments (all p < 0.0005) in comparison to patients without relapse. Patients without relapses had significantly higher mean number of treatments at T0 (p = 0.010). Cox regression model relating the association between diagnosis and DTH revealed that BD had higher rates of suicide attempts (HR = 13.0, 95%CI = 4.0–42.0, p < 0.0005), whereas SAD had higher rates of violent behavior during psychotic episodes (HR = 12.0, 95%CI =.3.3-43.5, p > 0.0005).
Conclusions.
SAD patients relapse earlier with higher hospitalization rates and violent behavior during psychotic episodes whereas bipolar patients have more suicide attempts. Psychiatric/psychological follow-up visits may delay hospitalizations by closely monitoring symptoms of self- and hetero-aggression.
Little is known about how functional imaging changes in bipolar disorder
relate to different phases of the illness.
Aims
To compare cognitive task activation in participants with bipolar
disorder examined in different phases of illness.
Method
Participants with bipolar disorder in mania (n = 38),
depression (n = 38) and euthymia (n =
38), as well as healthy controls (n = 38), underwent
functional magnetic resonance imaging during performance of the n-back
working memory task. Activations and de-activations were compared between
the bipolar subgroups and the controls, and among the bipolar subgroups.
All participants were also entered into a linear mixed-effects model.
Results
Compared with the controls, the mania and depression subgroups, but not
the euthymia subgroup, showed reduced activation in the dorsolateral
prefrontal cortex, the parietal cortex and other areas. Compared with the
euthymia subgroup, the mania and depression subgroups showed
hypoactivation in the parietal cortex. All three bipolar subgroups showed
failure of de-activation in the ventromedial frontal cortex. Linear
mixed-effects modelling revealed a further cluster of reduced activation
in the left dorsolateral prefrontal cortex in the patients; this was
significantly more marked in the mania than in the euthymia subgroup.
Conclusions
Bipolar disorder is characterised by mood state-dependent hypoactivation
in the parietal cortex. Reduced dorsolateral prefrontal activation is a
further feature of mania and depression, which may improve partially in
euthymia. Failure of de-activation in the medial frontal cortex shows
trait-like characteristics.