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Neural Mechanisms of Sevoflurane Induced Anesthesia: an EEG fMRI Study in Healthy Volunteers

Early Phase 1
Completed
Conditions
Anesthesia
Drug Effects
Interventions
Registration Number
NCT02149927
Lead Sponsor
Technical University of Munich
Brief Summary

In imaging functional connectivity (FC) analyses of the resting brain, alterations of FC during unconsciousness have been reported. These results are in accordance to recent electroencephalographic studies observing impaired top-down processing during anesthesia. In this study, simultaneous records of functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) were performed to investigate the causality of neural mechanisms during sevoflurane anesthesia by correlating FC in fMRI and directional connectivity (DC) in electroencephalogram.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
Male
Target Recruitment
20
Inclusion Criteria
  • ASA I
  • male
  • age > 18y
Exclusion Criteria
  • drug abuse
  • history of psychiatric or neurologic diseases
  • amblyacousia, deafness
  • contradictions to the study drug (sevoflurane)
  • implants
  • piercings, tatoos

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
SevofluraneSevofluraneSingle arm: dose escalation of study medication
Primary Outcome Measures
NameTimeMethod
Changes of information processing (entropy) in EEG and functional connectivity (BOLD ICA and small group network architecture) in fMRI during sevoflurane anesthesia at states awake, 2vol%, 3vol% and EEG endpoint burst suppression10 minutes for each condition

Changes of fMRI functional connectivity and of EEG information processing during different levels of sevoflurane anesthesia from wakefulness to deep anesthesia:

At each anesthetic level at equilibrated states awake, 2vol%, 3vol% and EEG endpoint burst suppression, EEG and fMRI are recorded simultaneously for about 10 minutes. For each level EEG and fMRI connectivity analysis are performed using the recording length of 10 minutes. This results in one outcome parameter for EEG and fMRI connectivity. Furthermore, both modalities are combined resulting in one combined parameter for each level.

For EEG analysis permutation entropy as a measure of information content in EEG, and symbolic transfer entropy as a measure of directed interaction in EEG are used. fMRI functional connectivity analysis is based on BOLD ICA and on network analysis of the BOLD time series.

Secondary Outcome Measures
NameTimeMethod
Assessment of the brain network structure during recovery in EEG and fMRI10 minutes for each condition

Identical technical setup than main outcome

Trial Locations

Locations (1)

Klinikum rechts der Isar

🇩🇪

Munich, Bayern, Germany

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