Dynamics of Local Field Potential Power of Subthalamic Nucleus
in Relation to Scalp Recorded Electrical Activity of Resting
Human Brain

a 2016

Dynamics of Local Field Potential Power of Subthalamic Nucleus in Relation to Scalp Recorded Electrical Activity of Resting Human Brain

DAMBORSKÁ, Alena, Christoph MICHEL, Marek BALÁŽ, Ivan REKTOR, Serge VULLIÉMOZ et. al.

Základní údaje

Originální název

Dynamics of Local Field Potential Power of Subthalamic Nucleus in Relation to Scalp Recorded Electrical Activity of Resting Human Brain

Autoři

DAMBORSKÁ, Alena, Christoph MICHEL, Marek BALÁŽ, Ivan REKTOR a Serge VULLIÉMOZ

Vydání

ESCAN 3rd conference, Porto 2016, 2016

Další údaje

Typ výsledku

Konferenční abstrakt

Utajení

není předmětem státního či obchodního tajemství

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 1. 7. 2016 09:37, doc. MUDr. Alena Damborská, Ph.D.

Anotace

V originále

Objective: Subthalamic nucleus (STN) is known to have central position in basal ganglia-thalamocortical circuits. Subthalamo-cortical interactions, however, are not precisely known yet. While intracranial EEG directly explores STN, scalp EEG informs about dynamics of cortical activity, which in rest displays discrete periods of electrical stability- functional microstates. To assess subthalamo-cortical relationship, we analysed STN and scalp EEG signals. Methods: Simultaneous scalp (51-63 electrodes) and intracranial (from STNs) EEG was obtained from six Parkinson disease patients in rest. Topographic analysis was conducted to identify microstate dynamics. Correlations between scalp and STN signals were calculated. Results: Time course of mean scalp power significantly correlated with that of local field potential power of both STNs (STN-LFP power) in delta, theta, alpha, beta, gamma, and 1-40 Hz frequency bands in all subjects. Microstate analysis identified typical four scalp topographies in all subjects. No significant correlations were found between time course of spatial correlation coefficients of template topographic maps and that of STN-LFP power in any frequency band. Conclusion: While STN-LFP power was related to scalp EEG power in rest, it was not related to occurrence of scalp topographies. Key message: Although maybe related to cortical activity, STN activity might not be related to occurrence of microstates in resting conditions.

Citovat

DAMBORSKÁ, Alena, Christoph MICHEL, Marek BALÁŽ, Ivan REKTOR a Serge VULLIÉMOZ. Dynamics of Local Field Potential Power of Subthalamic Nucleus in Relation to Scalp Recorded Electrical Activity of Resting Human Brain. In ESCAN 3rd conference, Porto 2016. 2016.

@proceedings{1348935,
   author = {Damborská, Alena and Michel, Christoph and Baláž, Marek and Rektor, Ivan and Vulliémoz, Serge},
   booktitle = {ESCAN 3rd conference, Porto 2016},
   title = {Dynamics of Local Field Potential Power of Subthalamic Nucleus in Relation to Scalp Recorded Electrical Activity of Resting Human Brain},
   year = {2016}
}

TY  - CONF
ID  - 1348935
AU  - Damborská, Alena - Michel, Christoph - Baláž, Marek - Rektor, Ivan - Vulliémoz, Serge
PY  - 2016
TI  - Dynamics of Local Field Potential Power of Subthalamic Nucleus in Relation to Scalp Recorded Electrical Activity of Resting Human Brain
N2  - Objective: Subthalamic nucleus (STN) is known to have central position in basal ganglia-thalamocortical circuits. Subthalamo-cortical interactions, however, are not precisely known yet. While intracranial EEG directly explores STN, scalp EEG informs about dynamics of cortical activity, which in rest displays discrete periods of electrical stability- functional microstates. To assess subthalamo-cortical relationship, we analysed STN and scalp EEG signals. Methods: Simultaneous scalp (51-63 electrodes) and intracranial (from STNs) EEG was obtained from six Parkinson disease patients in rest. Topographic analysis was conducted to identify microstate dynamics. Correlations between scalp and STN signals were calculated. Results: Time course of mean scalp power significantly correlated with that of local field potential power of both STNs (STN-LFP power) in delta, theta, alpha, beta, gamma, and 1-40 Hz frequency bands in all subjects. Microstate analysis identified typical four scalp topographies in all subjects. No significant correlations were found between time course of spatial correlation coefficients of template topographic maps and that of STN-LFP power in any frequency band. Conclusion: While STN-LFP power was related to scalp EEG power in rest, it was not related to occurrence of scalp topographies. Key message: Although maybe related to cortical activity, STN activity might not be related to occurrence of microstates in resting conditions.
ER  -

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