Connectivity brain networks based on wavelet correlation analysis in Parkinson fMRI data.

Abstract:

: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.

journal_name

Neurosci Lett

journal_title

Neuroscience letters

authors

Skidmore F,Korenkevych D,Liu Y,He G,Bullmore E,Pardalos PM

doi

10.1016/j.neulet.2011.05.030

subject

Has Abstract

pub_date

2011-07-15 00:00:00

pages

47-51

issue

1

eissn

0304-3940

issn

1872-7972

pii

S0304-3940(11)00644-6

journal_volume

499

pub_type

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