Connectivity brain networks based on wavelet correlation analysis in Parkinson fMRI data
| Autor: | G. He, Panos M. Pardalos, Frank M. Skidmore, Yijun Liu, Edward T. Bullmore, Dmytro Korenkevych |
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| Rok vydání: | 2010 |
| Předmět: |
Male
Parkinson's disease General Neuroscience Central nervous system Dopaminergic Models Neurological Parkinson Disease Human brain Disease Middle Aged medicine.disease Brain Waves Magnetic Resonance Imaging Functional imaging Central nervous system disease medicine.anatomical_structure Degenerative disease medicine Humans Female Nerve Net Psychology Neuroscience Aged |
| Zdroj: | Neuroscience letters. 499(1) |
| ISSN: | 1872-7972 |
| Popis: | Recent studies have shown that aging, psychiatric and neurologic diseases, and dopaminergic blockade all result in altered brain network efficiency. We investigated the efficiency of human brain functional networks as measured by fMRI in individuals with idiopathic Parkinson's disease (N=14) compared to healthy age-matched controls (N=15). Functional connectivity between 116 cortical and subcortical regions was estimated by wavelet correlation analysis in the frequency interval of 0.06-0.12 Hz. Efficiency of the associated network was analyzed, comparing PD to healthy controls. We found that individuals with Parkinson's disease had a marked decrease in nodal and global efficiency compared to healthy age-matched controls. Our results suggest that algorithmic approach and graph metrics might be used to identify and track neurodegenerative diseases, however more studies will be needed to evaluate utility of this type of analysis for different disease states. |
| Databáze: | OpenAIRE |
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