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Shape analysis of the cingulum, uncinate and arcuate fasciculi in patients with bipolar disorder.
- Source :
-
Journal of psychiatry & neuroscience : JPN [J Psychiatry Neurosci] 2017 Jan; Vol. 42 (1), pp. 27-36. - Publication Year :
- 2017
-
Abstract
- Background: Abnormal maturation of brain connectivity is supposed to underlie the dysfunctional emotion regulation in patients with bipolar disorder (BD). To test this hypothesis, white matter integrity is usually investigated using measures of water diffusivity provided by MRI. Here we consider a more intuitive aspect of the morphometry of the white matter tracts: the shape of the fibre bundles, which is associated with neurodevelopment. We analyzed the shape of 3 tracts involved in BD: the cingulum (CG), uncinate fasciculus (UF) and arcuate fasciculus (AF).<br />Methods: We analyzed diffusion MRI data in patients with BD and healthy controls. The fibre bundles were reconstructed using Q-ball-based tractography and automated segmentation. Using Isomap, a manifold learning method, the differences in the shape of the reconstructed bundles were visualized and quantified.<br />Results: We included 112 patients and 82 controls in our analysis. We found the left AF of patients to be further extended toward the temporal pole, forming a tighter hook than in controls. We found no significant difference in terms of shape for the left UF, the left CG or the 3 right fasciculi. However, in patients compared with controls, the ventrolateral branch of the left UF in the orbitofrontal region had a tendency to be larger, and the left CG of patients had a tendency to be smaller in the frontal lobe and larger in the parietal lobe.<br />Limitations: This was a cross-sectional study.<br />Conclusion: Our results suggest neurodevelopmental abnormalities in the left AF in patients with BD. The statistical tendencies observed for the left UF and left CG deserve further study.
- Subjects :
- Adolescent
Adult
Aged
Bipolar Disorder drug therapy
Cross-Sectional Studies
Diffusion Magnetic Resonance Imaging
Female
Humans
Image Processing, Computer-Assisted
Machine Learning
Male
Middle Aged
Neural Pathways diagnostic imaging
Young Adult
Bipolar Disorder diagnostic imaging
Brain diagnostic imaging
Subjects
Details
- Language :
- English
- ISSN :
- 1488-2434
- Volume :
- 42
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of psychiatry & neuroscience : JPN
- Publication Type :
- Academic Journal
- Accession number :
- 28234596
- Full Text :
- https://doi.org/10.1503/jpn.150291