Literature DB >> 27000470

Electroencephalographic findings in panic disorder.

Marcele Regine de Carvalho1, Bruna Brandao Velasques2, Mauricio Cagy3, Juliana Bittencourt Marques3, Silmar Teixeira4, Antonio Egidio Nardi5, Roberto Piedade3, Pedro Ribeiro6.   

Abstract

Some studies have reported the importance of electroencephalography (EEG) as a method for investigating abnormal parameters in psychiatric disorders. Different findings in time and frequency domain analysis with regard to central nervous system arousal during acute panic states have already been obtained. This study aimed to systematically review the EEG findings in panic disorder (PD), discuss them having a currently accepted neuroanatomical hypothesis for this pathology as a basis, and identify limitations in the selected studies. Literature search was conducted in the databases PubMed and ISI Web of Knowledge, using the keywords electroencephalography and panic disorder; 16 articles were selected. Despite the inconsistency of EEG findings in PD, the major conclusions about the absolute power of alpha and beta bands point to a decreased alpha power, while beta power tends to increase. Different asymmetry patterns were found between studies. Coherence studies pointed to a lower degree of inter-hemispheric functional connectivity at the frontal region and intra-hemispheric at the bilateral temporal region. Studies on possible related events showed changes in memory processing in PD patients when exposed to aversive stimuli. It was noticed that most findings reflect the current neurobiological hypothesis of PD, where inhibitory deficits of the prefrontal cortex related to the modulation of amygdala activity, and the subsequent activation of subcortical regions, may be responsible to trigger anxiety responses. We approached some important issues that need to be considered in further researches, especially the use of different methods for analyzing EEG signals.

Entities:  

Keywords:  Electroencephalography; brain mapping.; neurobiology; panic disorder

Year:  2013        PMID: 27000470     DOI: 10.1590/2237-6089-2013-0012

Source DB:  PubMed          Journal:  Trends Psychiatry Psychother        ISSN: 2237-6089


  5 in total

1.  State and Trait Anxiety Related Gamma Oscillations in Patients With Anxiety Within the Research Domain Criteria Framework.

Authors:  Kyoung Min Kim; Su Hyun Bong; Jun Byeon; Jun Won Kim
Journal:  Psychiatry Investig       Date:  2022-06-15       Impact factor: 3.202

2.  Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study.

Authors:  Chan-Hen Tsai; Pei-Chen Chen; Ding-Shan Liu; Ying-Ying Kuo; Tsung-Ting Hsieh; Dai-Lun Chiang; Feipei Lai; Chia-Tung Wu
Journal:  JMIR Med Inform       Date:  2022-02-15

3.  Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study.

Authors:  Andjela Markovic; Peter Achermann; Thomas Rusterholz; Leila Tarokh
Journal:  Sci Rep       Date:  2018-05-09       Impact factor: 4.379

4.  Focusing Attention on Muscle Exertion Increases EEG Coherence in an Endurance Cycling Task.

Authors:  Selenia di Fronso; Gabriella Tamburro; Claudio Robazza; Laura Bortoli; Silvia Comani; Maurizio Bertollo
Journal:  Front Psychol       Date:  2018-07-20

5.  An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.

Authors:  Oana Bălan; Gabriela Moise; Alin Moldoveanu; Marius Leordeanu; Florica Moldoveanu
Journal:  Sensors (Basel)       Date:  2020-01-15       Impact factor: 3.576

  5 in total

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