Title :
Measuring inter-hemispheric integration in bipolar affective disorder using brain network analyses and HARDI
Author :
Leow, A. ; Zhan, Li ; Ajilore, O. ; GadElkarim, J. ; Zhang, Angela ; Arienzo, D. ; Moody, T. ; Feusner, J. ; Kumar, Ajit ; Thompson, Paul ; Altshuler, L.
Author_Institution :
Dept. of Psychiatry, UIC, Chicago, IL, USA
Abstract :
Bipolar disorder is characterized by extreme mood swings, including both manic and depressive episodes commonly accompanied by psychosis. Many imaging studies have investigated white matter changes in bipolar illness, and the results have suggested abnormal intra- and inter-hemispheric white matter structures, particularly in the fronto-limbic and callosal systems. However, some inconsistency remains in the literature, and no study to-date has utilized brain network analysis using graph theory. Here, we acquired 64-direction diffusion weighted imaging (DWI) on 25 euthymic bipolar I subjects and 25 gender/age matched healthy subjects. White matter integrity measures were computed and compared in 50 white matter ROIs. The results indicated impaired integrity in the corpus callosum. Guided by this, we constructed whole brain structural connectivity networks using graph theory. We devised brain network metrics (inter-hemispheric path length and efficiency) to further probe inter-hemispheric integration, and demonstrated relatively preserved intra-hemispheric but significantly impaired inter-hemispheric integration in our bipolar subjects.
Keywords :
biodiffusion; biomedical MRI; brain; data acquisition; graph theory; integration; medical disorders; medical image processing; abnormal interhemispheric white matter structures; abnormal intrahemispheric white matter structures; bipolar affective disorder; bipolar illness; brain network analysis; brain network metrics; callosal systems; corpus callosum; depressive episodes; diffusion weighted imaging; euthymic bipolar I subjects; extreme mood swings; fronto-limbic systems; graph theory; higher-angular resolution diffusion imaging; interhemispheric integration measurement; interhemispheric path length; manic episodes; psychosis; whole brain structural connectivity networks; Diffusion tensor imaging; Graph theory; Joining processes; Length measurement; Tensile stress; bipolar disorder; brain network analysis; diffusion imaging; tractography;
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-1857-1
DOI :
10.1109/ISBI.2012.6235470