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EEG Microstate Analysis in Drug-Naive Patients with Panic Disorder

Overview of attention for article published in PLOS ONE, July 2011
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Title
EEG Microstate Analysis in Drug-Naive Patients with Panic Disorder
Published in
PLOS ONE, July 2011
DOI 10.1371/journal.pone.0022912
Pubmed ID
Authors

Mitsuru Kikuchi, Thomas Koenig, Toshio Munesue, Akira Hanaoka, Werner Strik, Thomas Dierks, Yoshifumi Koshino, Yoshio Minabe

Abstract

Patients with panic disorder (PD) have a bias to respond to normal stimuli in a fearful way. This may be due to the preactivation of fear-associated networks prior to stimulus perception. Based on EEG, we investigated the difference between patients with PD and normal controls in resting state activity using features of transiently stable brain states (microstates). EEGs from 18 drug-naive patients and 18 healthy controls were analyzed. Microstate analysis showed that one class of microstates (with a right-anterior to left-posterior orientation of the mapped field) displayed longer durations and covered more of the total time in the patients than controls. Another microstate class (with a symmetric, anterior-posterior orientation) was observed less frequently in the patients compared to controls. The observation that selected microstate classes differ between patients with PD and controls suggests that specific brain functions are altered already during resting condition. The altered resting state may be the starting point of the observed dysfunctional processing of phobic stimuli.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 1%
Germany 1 <1%
Italy 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 129 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 19%
Researcher 22 16%
Student > Master 11 8%
Professor > Associate Professor 8 6%
Student > Doctoral Student 7 5%
Other 24 18%
Unknown 38 28%
Readers by discipline Count As %
Neuroscience 23 17%
Psychology 21 15%
Medicine and Dentistry 15 11%
Engineering 9 7%
Agricultural and Biological Sciences 7 5%
Other 16 12%
Unknown 45 33%