Literature DB >> 15587817

Analysis of evoked EEG synchronization and desynchronization in conditions of emotional activation in humans: temporal and topographic characteristics.

L I Aftanas1, N V Reva, A A Varlamov, S V Pavlov, V P Makhnev.   

Abstract

Studies in 20 healthy right-handed subjects analyzed evoked EEG synchronization and desynchronization in the delta, theta1, theta2, alpha1, alpha2, beta1, beta2, beta3, and gamma ranges in response to sequential presentation of stimuli from the International Affective Picture System (IAPS) with low, medium, and high emotional activation impact. Each signal presentation was accompanied by subjective scaling of the extent of its emotional impact. EEG traces were recorded in 62 channels as signals were presented. These experiments showed that the degree of emotional impact of the signal was significantly associated with increases in evoked synchronization in the delta, theta1, theta2, beta1, beta3, and gamma ranges and with the effects of combined changes in evoked synchronization and desynchronization in the alpha2 frequency range. The interhemisphere distribution of evoked changes in power provided evidence that not only the posterior areas of the right hemisphere were involved in analyzing the emotional significance of images, as indicated by changes in evoked theta1 and theta2 synchronization and alpha2 desynchronization, but also the anterior areas of the left hemisphere, as indicated by changes in evoked theta2 synchronization. From the standpoint of affective chronometry, the earliest discrimination of the emotional content of stimuli, regardless of the sign of the emotion, occurred in the lower theta range and was seen at 0-600 msec after the start of stimulus presentation. This process was delayed 600-1000 msec in the theta2, alpha2, and gamma ranges.

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Mesh:

Year:  2004        PMID: 15587817     DOI: 10.1023/b:neab.0000038139.39812.eb

Source DB:  PubMed          Journal:  Neurosci Behav Physiol        ISSN: 0097-0549


  30 in total

1.  [Frequency and amplitude characteristics of the left and right hemispheres in mental representation of emotionally colored images].

Authors:  M N Rusalova; M B Kostiunina
Journal:  Fiziol Cheloveka       Date:  1999 Sep-Oct

Review 2.  Event-related EEG/MEG synchronization and desynchronization: basic principles.

Authors:  G Pfurtscheller; F H Lopes da Silva
Journal:  Clin Neurophysiol       Date:  1999-11       Impact factor: 3.708

3.  [The reflection in the interhemispheric distribution of the EEG frequency-amplitude parameters of the force of emotional experience, the strength of drive and the probability of its satisfaction].

Authors:  M N Rusalova; M B Kostiunina
Journal:  Fiziol Cheloveka       Date:  2000 Jan-Feb

4.  Event-related synchronization and desynchronization during affective processing: emergence of valence-related time-dependent hemispheric asymmetries in theta and upper alpha band.

Authors:  L Aftanas; A Varlamov; S Pavlov; V Makhnev; N Reva
Journal:  Int J Neurosci       Date:  2001       Impact factor: 2.292

5.  Gamma, alpha, delta, and theta oscillations govern cognitive processes.

Authors:  E Başar; C Başar-Eroglu; S Karakaş; M Schürmann
Journal:  Int J Psychophysiol       Date:  2001-01       Impact factor: 2.997

6.  Oscillatory brain theory: a new trend in neuroscience.

Authors:  E Basar; C Basar-Eroglu; S Karakas; M Schürmann
Journal:  IEEE Eng Med Biol Mag       Date:  1999 May-Jun

Review 7.  Frontal midline theta rhythm and mental activity.

Authors:  K Inanaga
Journal:  Psychiatry Clin Neurosci       Date:  1998-12       Impact factor: 5.188

8.  Emotional arousal and activation of the visual cortex: an fMRI analysis.

Authors:  P J Lang; M M Bradley; J R Fitzsimmons; B N Cuthbert; J D Scott; B Moulder; V Nangia
Journal:  Psychophysiology       Date:  1998-03       Impact factor: 4.016

9.  Event-related desynchronization (ERD) patterns to emotion-related feedback stimuli.

Authors:  L I Aftanas; V I Koshkarov; V L Pokrovskaja; N V Lotova; Y N Mordvintsev
Journal:  Int J Neurosci       Date:  1996-11       Impact factor: 2.292

10.  Measuring emotion: the Self-Assessment Manikin and the Semantic Differential.

Authors:  M M Bradley; P J Lang
Journal:  J Behav Ther Exp Psychiatry       Date:  1994-03
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  33 in total

1.  Tagging cortical networks in emotion: a topographical analysis.

Authors:  Andreas Keil; Vincent Costa; J Carson Smith; Dean Sabatinelli; E Menton McGinnis; Margaret M Bradley; Peter J Lang
Journal:  Hum Brain Mapp       Date:  2011-09-23       Impact factor: 5.038

2.  How the visual brain detects emotional changes in facial expressions: Evidence from driven and intrinsic brain oscillations.

Authors:  Rafaela R Campagnoli; Matthias J Wieser; L Forest Gruss; Maeve R Boylan; Lisa M McTeague; Andreas Keil
Journal:  Cortex       Date:  2018-10-16       Impact factor: 4.027

3.  Altered oscillatory brain dynamics of emotional processing in young binge drinkers.

Authors:  Siyuan Huang; Lee A Holcomb; Stephen M Cruz; Ksenija Marinkovic
Journal:  Cogn Affect Behav Neurosci       Date:  2018-02       Impact factor: 3.282

4.  EEG captures affective touch: CT-optimal touch and neural oscillations.

Authors:  Mariana von Mohr; Michael J Crowley; Jessica Walthall; Linda C Mayes; Kevin A Pelphrey; Helena J V Rutherford
Journal:  Cogn Affect Behav Neurosci       Date:  2018-02       Impact factor: 3.282

5.  EEG spectral powers and source localization in depressing, sad, and fun music videos focusing on gender differences.

Authors:  Atefeh Goshvarpour; Ateke Goshvarpour
Journal:  Cogn Neurodyn       Date:  2018-12-14       Impact factor: 5.082

6.  Development of mu rhythm in infants and preschool children.

Authors:  M Berchicci; T Zhang; L Romero; A Peters; R Annett; U Teuscher; M Bertollo; Y Okada; J Stephen; S Comani
Journal:  Dev Neurosci       Date:  2011-07-21       Impact factor: 2.984

7.  Oscillatory brain activity in the alpha range is modulated by the content of word-prompted mental imagery.

Authors:  Felix Bartsch; Gilava Hamuni; Vladimir Miskovic; Peter J Lang; Andreas Keil
Journal:  Psychophysiology       Date:  2015-01-23       Impact factor: 4.016

8.  A preliminary study of the neural mechanisms of frustration in pediatric bipolar disorder using magnetoencephalography.

Authors:  Brendan A Rich; Tom Holroyd; Frederick W Carver; Laura M Onelio; Jennifer K Mendoza; Brian R Cornwell; Nathan A Fox; Daniel S Pine; Richard Coppola; Ellen Leibenluft
Journal:  Depress Anxiety       Date:  2010-03       Impact factor: 6.505

9.  High-frequency Broadband Modulations of Electroencephalographic Spectra.

Authors:  Julie Onton; Scott Makeig
Journal:  Front Hum Neurosci       Date:  2009-12-23       Impact factor: 3.169

Review 10.  A review on the computational methods for emotional state estimation from the human EEG.

Authors:  Min-Ki Kim; Miyoung Kim; Eunmi Oh; Sung-Phil Kim
Journal:  Comput Math Methods Med       Date:  2013-03-24       Impact factor: 2.238

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