A Magnetic Resonance Spectroscopy Study on Polarity Subphenotypes in Bipolar Disorder.
Georgios D ArgyropoulosFoteini ChristidiEfstratios KaravasilisPeter BedeGeorgios VelonakisAnastasia AntoniouIoannis SeimenisNikolaos KelekisNikolaos SmyrnisOlympia PapakonstantinouEfstathios P EfstathopoulosPanagiotis FerentinosPublished in: Diagnostics (Basel, Switzerland) (2024)
Although magnetic resonance spectroscopy (MRS) has provided in vivo measurements of brain chemical profiles in bipolar disorder (BD), there are no data on clinically and therapeutically important onset polarity (OP) and predominant polarity (PP). We conducted a proton MRS study in BD polarity subphenotypes, focusing on emotion regulation brain regions. Forty-one euthymic BD patients stratified according to OP and PP and sixteen healthy controls (HC) were compared. 1H-MRS spectra of the anterior and posterior cingulate cortex (ACC, PCC), left and right hippocampus (LHIPPO, RHIPPO) were acquired at 3.0T to determine metabolite concentrations. We found significant main effects of OP in ACC mI, mI/tNAA, mI/tCr, mI/tCho, PCC tCho, and RHIPPO tNAA/tCho and tCho/tCr. Although PP had no significant main effects, several medium and large effect sizes emerged. Compared to HC, manic subphenotypes (i.e., manic-OP, manic-PP) showed greater differences in RHIPPO and PCC, whereas depressive suphenotypes (i.e., depressive-OP, depressive-PP) in ACC. Effect sizes were consistent between OP and PP as high intraclass correlation coefficients (ICC) were confirmed. Our findings support the utility of MRS in the study of the neurobiological underpinnings of OP and PP, highlighting that the regional specificity of metabolite changes within the emotion regulation network consistently marks both polarity subphenotypes.
Keyphrases
- bipolar disorder
- major depressive disorder
- white matter
- newly diagnosed
- functional connectivity
- ejection fraction
- multiple sclerosis
- end stage renal disease
- cognitive impairment
- stress induced
- brain injury
- blood brain barrier
- cerebral ischemia
- patient reported outcomes
- big data
- immune response
- patient reported
- network analysis
- data analysis