Functional models of neural circuits for pathophysiology of major depressive disorder

Mumtaz, W. and Xia, L. and Malik, A.S. and Yasin, M.A.M. (2012) Functional models of neural circuits for pathophysiology of major depressive disorder. In: UNSPECIFIED.

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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). © 2012 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 2012 4th International Conference on Intelligent and Advanced Systems, ICIAS 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93534
Uncontrolled Keywords: Brain regions; Clinical diagnosis; Connectivity pattern; effective connectivity; Functional connectivity; functional magnatic resonance Imaging (fMRI); Functional magnetic resonance imaging; Functional model; Human brain; Interconnectivity; Major depressive disorder (MDD); Neural circuits; Pathophysiology; Real-world task; Treatment response, Brain; Diagnosis; Dynamic response; Electroencephalography; Electrophysiology; Magnetic resonance imaging, Physiological models
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:50
Last Modified: 09 Nov 2023 15:50
URI: https://khub.utp.edu.my/scholars/id/eprint/2712

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