Literature DB >> 19911211

Electroencephalographic spectral asymmetry index for detection of depression.

Hiie Hinrikus1, Anna Suhhova, Maie Bachmann, Kaire Aadamsoo, Ulle Võhma, Jaanus Lass, Viiu Tuulik.   

Abstract

This study is aimed to compare sensitivity of different electroencephalographic (EEG) indicators for detection of depression. The novel EEG spectral asymmetry index (SASI) was introduced based on balance between the powers of two special EEG frequency bands selected lower and higher of the EEG spectrum maximum and excluding the central frequency from the calculations. The efficiency of the SASI was compared to the traditional EEG inter-hemispheric asymmetry and coherence methods. EEG recordings were carried out on groups of depressive and healthy subjects of 18 female volunteers each. The resting eight-channel EEG was recorded during 30 min. The SASI calculated in an arbitrary EEG channel differentiated clearly between the depressive and healthy group (p < 0.005). Correlation between SASI and Hamilton Depression Rating Scale score was 0.7. The EEG inter-hemispheric asymmetry and coherence revealed some trends, but no significant differences between the groups of healthy controls and patients with depressive disorder.

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Year:  2009        PMID: 19911211     DOI: 10.1007/s11517-009-0554-9

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  21 in total

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4.  EEG power, frequency, asymmetry and coherence in male depression.

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Journal:  Psychiatry Res       Date:  2001-04-10       Impact factor: 3.222

5.  Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients.

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6.  A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease.

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7.  Left frontal hypoactivation in depression.

Authors:  J B Henriques; R J Davidson
Journal:  J Abnorm Psychol       Date:  1991-11

8.  Electroencephalographic differences between depressed and control subjects: an aspect of interdependence analysis.

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Journal:  Brain Res Bull       Date:  2008-06-02       Impact factor: 4.077

9.  Investigating models of affect: relationships among EEG alpha asymmetry, depression, and anxiety.

Authors:  Danielle Mathersul; Leanne M Williams; Patrick J Hopkinson; Andrew H Kemp
Journal:  Emotion       Date:  2008-08

10.  A source-imaging (low-resolution electromagnetic tomography) study of the EEGs from unmedicated males with depression.

Authors:  Pierre Flor-Henry; John C Lind; Zoltan J Koles
Journal:  Psychiatry Res       Date:  2004-02-15       Impact factor: 3.222

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  10 in total

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2.  Power spectrum analysis of EEG in a translational nonhuman primate model after chronic exposure to low levels of the common marine neurotoxin, domoic acid.

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4.  Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks.

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5.  Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression.

Authors:  Andrew F Leuchter; Ian A Cook; Aimee M Hunter; Chaochao Cai; Steve Horvath
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6.  Ensemble Approach for Detection of Depression Using EEG Features.

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7.  The relationship between emotional regulation and hemispheric lateralization in depression: a systematic review and a meta-analysis.

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8.  Altered resting state brain dynamics in temporal lobe epilepsy can be observed in spectral power, functional connectivity and graph theory metrics.

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Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

9.  Spectral asymmetry and Higuchi's fractal dimension measures of depression electroencephalogram.

Authors:  Maie Bachmann; Jaanus Lass; Anna Suhhova; Hiie Hinrikus
Journal:  Comput Math Methods Med       Date:  2013-10-22       Impact factor: 2.238

10.  Deep-Asymmetry: Asymmetry Matrix Image for Deep Learning Method in Pre-Screening Depression.

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  10 in total

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