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  5. Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson’s disease

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Article
English
2010

Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson’s disease

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English
2010
Brain
Vol 134 (2)
DOI: 10.1093/brain/awq332

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Karl Friston
Karl Friston

University College London

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Vladimir Litvak
Ashwani Jha
Alexandre Eusébio
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Abstract

Both phenotype and treatment response vary in patients with Parkinson's disease. Anatomical and functional imaging studies suggest that individual symptoms may represent malfunction of different segregated networks running in parallel through the basal ganglia. In this study, we use a newly described, electrophysiological method to describe cortico-subthalamic networks in humans. We performed combined magnetoencephalographic and subthalamic local field potential recordings in thirteen patients with Parkinson's disease at rest. Two spatially and spectrally separated networks were identified. A temporoparietal-brainstem network was coherent with the subthalamic nucleus in the alpha (7–13 Hz) band, whilst a predominantly frontal network was coherent in the beta (15–35 Hz) band. Dopaminergic medication modulated the resting beta network, by increasing beta coherence between the subthalamic region and prefrontal cortex. Subthalamic activity was predominantly led by activity in the cortex in both frequency bands. The cortical topography and frequencies involved in the alpha and beta networks suggest that these networks may be involved in attentional and executive, particularly motor planning, processes, respectively.

How to cite this publication

Vladimir Litvak, Ashwani Jha, Alexandre Eusébio, Robert Oostenveld, Thomas Foltynie, Patricia Limousin, Ludvic Zrinzo, Marwan Hariz, Karl Friston, Peter Brown (2010). Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson’s disease. Brain, 134(2), pp. 359-374, DOI: 10.1093/brain/awq332.

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Publication Details

Type

Article

Year

2010

Authors

10

Datasets

0

Total Files

0

Language

English

Journal

Brain

DOI

10.1093/brain/awq332

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