Objectives: Recent evidence has demonstrated that corpus callosum maturation follows a similar developmental timeline to cognitive processes. Bipolar disorder (BD) has been associated with disruptions in error processing, response inhibition, and motor functioning, which are mediated by underlying white matter structures, including the corpus callosum. Disruptions in white matter integrity have been demonstrated in BD. However, it is unknown whether alterations in the developmental trajectory of the corpus callosum may contribute to cognitive impairments in the disorder.
Methods: We assessed the area of the corpus callosum and its subregions (the genu, rostral body, anterior and posterior bodies, isthmus, and splenium) in 14 treatment-naïve adolescents with BD (<21 years of age and in the depressed phase) and 18 healthy adolescent controls.
Results: In comparison with healthy controls, participants with BD demonstrated a significantly reduced overall corpus callosum area. We also noted smaller areas in the anterior and posterior mid-body of the corpus callosum in adolescents with BD.
Conclusions: Our results suggest that commissural fibers of the corpus callosum are disrupted in early-onset BD. Specific decreases in the anterior and posterior mid-body callosal aspects may contribute to motor organization and inhibition deficits seen in BD. These findings are consistent with the involvement of inter-hemispheric tracts in early-onset BD, which may reflect an early deviation in white matter development.
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http://dx.doi.org/10.1111/bdi.12247 | DOI Listing |
Med Biol Eng Comput
January 2025
Non-Invasive Imaging and Diagnostic Laboratory, Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, India.
Detection of early mild cognitive impairment (EMCI) is clinically challenging as it involves subtle alterations in multiple brain sub-anatomic regions. Among different brain regions, the corpus callosum and lateral ventricles are primarily affected due to EMCI. In this study, an improved deep canonical correlation analysis (CCA) based framework is proposed to fuse magnetic resonance (MR) image features from lateral ventricular and corpus callosal structures for the detection of EMCI condition.
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Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, 85013, USA. Electronic address:
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