DocumentCode :
139537
Title :
Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks
Author :
Yuhui Du ; Jingyu Liu ; Jing Sui ; Hao He ; Pearlson, Godfrey D. ; Calhoun, Vince D.
Author_Institution :
Mind Res. Network, Albuquerque, NM, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
1517
Lastpage :
1520
Abstract :
Schizophrenia, schizoaffective and bipolar disorders share some common symptoms. However, the biomarkers underlying those disorders remain unclear. In fact, there is still controversy about the schizoaffective disorder with respect to its validity of independent category and its relationship with schizophrenia and bipolar disorders. In this paper, based on brain functional networks extracted from resting-state fMRI using a recently proposed group information guided ICA (GIG-ICA) method, we explore the biomarkers for discriminating healthy controls, schizophrenia patients, bipolar patients, and patients with two symptom defined subsets of schizoaffective disorder, and then investigate the relationship between different groups. The results demonstrate that the discriminating regions mainly including frontal, parietal, precuneus, cingulate, supplementary motor, cerebellar, insular and supramarginal cortices perform well in distinguishing the different diagnostic groups. The results also suggest that schizoaffective disorder may be an independent disorder, although its subtype characterized by depressive episodes shares more similarity with schizophrenia.
Keywords :
biomedical MRI; brain; medical disorders; GIG-ICA method; biomarkers; bipolar disorders; bipolar patients; cerebellar cortices; cingulate motor; depressive episodes; diagnostic groups; frontal motor; group information guided ICA method; insular cortices; parietal motor; precuneus motor; resting-state brain functional networks; resting-state fMRI; schizoaffective disorder; schizophrenia disorders; schizophrenia patients; supplementary motor; supramarginal cortices; Biomarkers; Data mining; Educational institutions; Independent component analysis; Materials; Neuroimaging; Psychiatry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6943890
Filename :
6943890
Link To Document :
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