Neural correlates of lexical decisions in Parkinson’s disease revealed with 
multivariate extraction of cortico-subthalamic interactions

Hohlefeld, F. U.; Ewald, A.; Ehlen, F.; Tiedt, H. O.; Horn, A.; Kühn, A. A.; Curio, G.; Klostermann, F.; Nikulin, Vadim V.

doi:10.1016/j.clinph.2016.12.026

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Neural correlates of lexical decisions in Parkinson’s disease revealed with multivariate extraction of cortico-subthalamic interactions

MPG-Autoren

Curio, G.
Neurophysics Group, Department of Neurology, Charité University Medicine Berlin, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Nikulin, Vadim V.
Neurophysics Group, Department of Neurology, Charité University Medicine Berlin, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Zitation

Hohlefeld, F. U., Ewald, A., Ehlen, F., Tiedt, H. O., Horn, A., Kühn, A. A., et al. (2017). Neural correlates of lexical decisions in Parkinson’s disease revealed with multivariate extraction of cortico-subthalamic interactions. Clinical Neurophysiology, 128(4), 538-548. doi:10.1016/j.clinph.2016.12.026.

Zitierlink: https://hdl.handle.net/11858/00-001M-0000-002D-2933-D

Zusammenfassung

Objective

Neural interactions between cortex and basal ganglia are pivotal for sensorimotor processing. Specifically, coherency between cortex and subthalamic structures is a frequently studied phenomenon in patients with Parkinson’s disease. However, it is unknown whether cortico-subthalamic coherency might also relate to cognitive aspects of task performance, e.g., language processing. Furthermore, standard coherency studies are challenged by how to efficiently handle multi-channel recordings.
Methods

In eight patients with Parkinson’s disease treated with deep brain stimulation, simultaneous recordings of surface electroencephalography and deep local field potentials were obtained from bilateral subthalamic nuclei, during performing a lexical decision task. A recent multivariate coherency measure (maximized imaginary part of coherency, MIC) was applied, simultaneously accounting for multi-channel recordings.
Results

Cortico-subthalamic synchronization (MIC) in 14–35 Hz oscillations positively correlated with accuracy in lexical decisions across patients, but not in 7–13 Hz oscillations. In contrast to multivariate MIC, no significant correlation was obtained when extracting cortico-subthalamic synchronization by “standard” bivariate coherency.
Conclusions

Cortico-subthalamic synchronization may relate to non-motor aspects of task performance, here reflected in lexical accuracy.
Significance

The results tentatively suggest the relevance of cortico-subthalamic interactions for lexical decisions. Multivariate coherency might be effective to extract neural synchronization from multi-channel recordings.