White matter characteristics in the early and late stages of bipolar disorder: A diffusion tensor imaging study


Tanrıkulu A. B., İnanlı İ., Arslan S., Çalışkan A. M., Çiçek İ. E., EREN İ.

Journal of Affective Disorders, vol.308, pp.353-359, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 308
  • Publication Date: 2022
  • Doi Number: 10.1016/j.jad.2022.04.002
  • Journal Name: Journal of Affective Disorders
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, ASSIA, PASCAL, AgeLine, BIOSIS, CAB Abstracts, CINAHL, EMBASE, MEDLINE, Psycinfo, Veterinary Science Database
  • Page Numbers: pp.353-359
  • Keywords: Bipolar disorder, DTI, Staging, Biomarker, ANTERIOR CORONA RADIATA, CORPUS-CALLOSUM, INTEGRITY, ABNORMALITIES, STRESS, SENSITIZATION, FASCICULUS, CINGULUM, ANATOMY
  • Süleyman Demirel University Affiliated: Yes

Abstract

© 2022 Elsevier B.V.Background: Bipolar disorder (BD) is characterized by recurrent mood episodes that may progress over time. Staging models may be used to follow the long-term course of BD. BD is associated with microstructural changes in white matter (WM). This study aims to compare the WM integrity within patients groups who are in different stages of BD and healthy controls and investigate whether WM integrity changes may be a biomarker that can be used in the clinical staging of BD. Methods: The study sample included euthymic 54 patients diagnosed with BD according to Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) and 27 healthy volunteers. Early-stage patients (n = 26) were determined as patients who have not had any mood episodes after the first manic episode, and late-stage patients (n = 28) determined as patients with recurrent mood episodes. MRI was performed using a 1.5 Tesla MR system and DTI sequences were acquired. Results: Region of interest (ROI) analyses showed that late-stage patients had significantly reduced fractional anisotropy (FA) in the right sagittal stratum and genu of the corpus callosum compared with healthy controls and early-stage patients. Regression models show that corpus callosum genu and right sagittal stratum FA values are predictive for the late-stage patient group. Limitations: There are some limitations of the ROI method. The cross-sectional design is another limitation of this study. Conclusions: WM integrity of corpus callosum genu and right sagittal stratum may be a biomarker for clinical staging of BD. Identifying stage-specific biomarkers may help us predict the neuroprogressive course of BD. Longitudinal studies would be required to detect stage-specific biomarkers.