DISORGANIZATION OF EQUILIBRIUM DIRECTIONAL INTERACTIONS IN THE BRAIN MOTOR NETWORK OF PARKINSON’S DISEASE: NEW INSIGHT OF RESTING STATE ANALYSIS USING GRANGER CAUSALITY AND GRAPHICAL APPROACH

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GHASEMI MAHDIEH; MAHLOOJI FAR ALI

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Paper Information

Journal: JOURNAL OF MEDICAL SIGNALS AND SENSORS (JMSS) Year:2013 | Volume:3 | Issue:2 Page(s): 69-78

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Title

DISORGANIZATION OF EQUILIBRIUM DIRECTIONAL INTERACTIONS IN THE BRAIN MOTOR NETWORK OF PARKINSON’S DISEASE: NEW INSIGHT OF RESTING STATE ANALYSIS USING GRANGER CAUSALITY AND GRAPHICAL APPROACH

Author(s)

GHASEMI MAHDIEH | MAHLOOJI FAR ALI | Issue Writer Certificate

Keywords

FUNCTIONAL MAGNETIC RESONANCE IMAGING

MULTIVARIATE GRANGER CAUSALITY ANALYSIS

GRAPH THEORY

PARKINSON’S DISEASE

RESTING STATE

Abstract

Parkinson’s disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movements. Specific changes associated with various pathological attacks in PARKINSON’S DISEASE can be indicated in causality interactions of the brain Network from RESTING STATE fMRI data. In this paper, we aimed to reveal the network architecture of the directed influence brain network using MULTIVARIATE GRANGER CAUSALITY ANALYSIS and GRAPH THEORY in patients with PD compared with control group. FUNCTIONAL MAGNETIC RESONANCE IMAGING (rs-fMRI) at rest from 10 PD patients and 10 controls were analyzed. Topological properties of the networks showed that, flow of information in PD is smaller than healthy. We found that there is a balanced local network in healthy include positive pair-wise cross connections between Caudate and Cerebellum and, reciprocal connections between motor cortex and caudate in left and right hemispheres. The results showed that this local network is disrupted in PD due to disturbance of the interactions in the motor networks. These findings suggested alteration of the functional management of the brain in the RESTING STATE, that affect the information organization from and to the other brain regions related to both primary dysfunctions and higher-level cognition impairments in PD. Furthermore, we showed that ROIs with high degree values could detect as between ness centrality nodes. Our results demonstrate that properties of small-world connectivity could also recognize and quantify the characteristics of directed influence brain networks in PD.

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APA: Copy

GHASEMI, MAHDIEH, & MAHLOOJI FAR, ALI. (2013). DISORGANIZATION OF EQUILIBRIUM DIRECTIONAL INTERACTIONS IN THE BRAIN MOTOR NETWORK OF PARKINSON’S DISEASE: NEW INSIGHT OF RESTING STATE ANALYSIS USING GRANGER CAUSALITY AND GRAPHICAL APPROACH. JOURNAL OF MEDICAL SIGNALS AND SENSORS (JMSS), 3(2), 69-78. SID. https://sid.ir/paper/333732/en

Vancouver: Copy

GHASEMI MAHDIEH, MAHLOOJI FAR ALI. DISORGANIZATION OF EQUILIBRIUM DIRECTIONAL INTERACTIONS IN THE BRAIN MOTOR NETWORK OF PARKINSON’S DISEASE: NEW INSIGHT OF RESTING STATE ANALYSIS USING GRANGER CAUSALITY AND GRAPHICAL APPROACH. JOURNAL OF MEDICAL SIGNALS AND SENSORS (JMSS)[Internet]. 2013;3(2):69-78. Available from: https://sid.ir/paper/333732/en

IEEE: Copy

MAHDIEH GHASEMI, and ALI MAHLOOJI FAR, “DISORGANIZATION OF EQUILIBRIUM DIRECTIONAL INTERACTIONS IN THE BRAIN MOTOR NETWORK OF PARKINSON’S DISEASE: NEW INSIGHT OF RESTING STATE ANALYSIS USING GRANGER CAUSALITY AND GRAPHICAL APPROACH,” JOURNAL OF MEDICAL SIGNALS AND SENSORS (JMSS), vol. 3, no. 2, pp. 69–78, 2013, [Online]. Available: https://sid.ir/paper/333732/en

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