DocumentCode :
3370670
Title :
Functional models of neural circuits for pathophysiology of major depressive disorder
Author :
Mumtaz, Wajid ; Xia, Likun ; Malik, Aamir Saeed ; Yasin, Mohd Azhar Mohd
Author_Institution :
Center for Intell. Signal & Imaging Res. (CISIR), Univ. Teknol. PETRONAS, Tronoh, Malaysia
Volume :
1
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
60
Lastpage :
63
Abstract :
Human brain is a complex system with dynamic responses. Intercommunication of brain regions to perform a real world task results into unique functional models based on activation of brain regions and strength of their interconnectivity. The functional models may be studied under the categories of anatomical, effective and functional connectivity. Variability of these models under same conditions signifies pathophysiology of a psychotic disease. Functional model of an abnormal brain has a different physiological connectivity pattern as compared to a normal one. Identification of these abnormalities may have useful implications for clinical diagnosis and prognosis. It may also be helpful in prediction of treatment response of an antidepressant. This paper provides description of functional models for pathophysiology of major depressive disorder (MDD) using functional magnetic resonance imaging (fMRI).
Keywords :
biomedical MRI; brain; diseases; medical disorders; medical image processing; neurophysiology; patient treatment; abnormal brain; antidepressant; brain regions; clinical diagnosis; depressive disorder; dynamic responses; fMRI; functional connectivity; functional magnetic resonance imaging; functional models; human brain; major depressive disorder; neural circuits; pathophysiology; physiological connectivity pattern; prognosis; psychotic disease; treatment response; Artificial intelligence; Biomedical imaging; Brain models; Data models; Electroencephalography; Magnetic resonance imaging; Major depressive disorder (MDD); effective connectivity; electroencephalography (EEG); functional connectivity; functional magnatic resonance Imaging (fMRI);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
Type :
conf
DOI :
10.1109/ICIAS.2012.6306159
Filename :
6306159
Link To Document :
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