Electroencephalographic spectral asymmetry index for detection of depression

Medical and Biological Engineering and Computing

Volumn 47, Issue 12, 2009, Pages 1291-1299

  Hinrikus, Hiie ^a   Suhhova, Anna ^a   Bachmann, Maie ^a   Aadamsoo, Kaire ^b   Võhma, Ü ^b   Lass, Jaanus ^a   Tuulik, Viiu ^a  

^a TALLINN UNIVERSITY OF TECHNOLOGY   (Estonia)

^b North Estonia Regional Hospital   (Estonia)

Author keywords

Coherence; Depression; EEG analysis; Inter hemispheric asymmetry; Spectral asymmetry

Indexed keywords

CENTRAL FREQUENCY; COHERENCE METHODS; EEG ANALYSIS; EEG RECORDING; EEG SPECTRA; HAMILTONS; HEALTHY CONTROLS; HEALTHY SUBJECTS; RATING SCALE;

FLIGHT DYNAMICS; FREQUENCY BANDS;

ELECTROENCEPHALOGRAPHY;

ADULT; ARTICLE; BRAIN; BRAIN MAPPING; CASE CONTROL STUDY; DEPRESSION; ELECTROENCEPHALOGRAPHY; EVALUATION; FEMALE; HUMAN; METHODOLOGY; MIDDLE AGED; PATHOLOGY; PATHOPHYSIOLOGY; SIGNAL PROCESSING;

ADULT; BRAIN; BRAIN MAPPING; CASE-CONTROL STUDIES; DEPRESSIVE DISORDER; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MIDDLE AGED; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 77249158313     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-009-0554-9     Document Type: Article

References (24)

1. Henderson G, Ifeachor E, Hudson N et al (2006) Development and assessment of methods for detecting dementia using the human electroencephalogram. IEEE Trans Biomed Eng 53:1557-1568
2. Shen KQ, Li XP, Ong CJ, Shao SY, Wilder-Smith EP (2008) EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate. Clin Neurophysiol 119:1524-1533
3. Adeli H, Ghosh-Dastidar S, Dadmehr N (2008) A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease. Neurosci Lett 444:190-194
4. Abasolo D, Escudero J, Hornero R, Gomez C, Espino P (2008) Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients. Med Biol Eng Comp 46:1019-1028
5. Lehmann C, Koenig T, Jelic V, Prichep L, John R (2007) Application and comparison of classifications algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG). J Neurosci Methods 161:342-350
6. Allen JB, Urry HL, Hitt SK, Coan JA (2004) The stability of resting frontal electroencephalographic asymmetry in depression. Psychophysiology 41:269-275
7. Henriques JB, Davidson RJ (1991) Left frontal hypoactivation in depression. J Abnorm Psychol 100:535-545
8. Knott V, Mahoney C, Kennedy S, Evans K (2001) EEG power, frequency, asymmetry and coherence in male depression. Psychiatry Res Neuroimaging 106:123-140
9. Lubar JF, Congedo M, Askew JH (2003) Low-resolution electromagnetic tomography (LORETA) of cerebral activity in chronic depressive disorder. Int J Psychopathol 49:175-185
10. Mathersul D, Williams L, Hopkinson P, Kemp A (2008) Investigating models of affect: relationships among EEG alpha asymmetry, depression, and anxiety. Emotion 8:560-572
11. Pop-Jordanova N, Pop-Jordanov J (2005) Spectrum-weighted EEG frequency ("brain-rate") as a quantitative indicator of mental arousal. Prilozi 26:35-42
12. Ricardo-Garcell J, Gonzalez-Olvera J, Miranda E et al (2009) EEG sources in a group of patients with major depressive disorder. Int J Psychophysiol 71:70-74
13. Reid SA, Duke LM, Allen JJB (1998) Resting frontal electroencephalographic asymmetry in depression: in consistencies suggest the need to identify mediating factors. Psychophysiology 35:389-404
14. Debener S, Beauducel A, Nessler D, Brocke B, Heilemann H, Kavser J (2000) Is resting anterior EEG alpha asymmetry a trait marker for depression? Findings for healthy adults and clinically depressed patients. Neuropsychobiology 41:31-37
15. Sun Y, Li Y, Zhu Y, Chen X, Tong S (2008) Electroencephalographic differences between depressed and control subjects: an aspect of interdependence analysis. Brain Res Bull 76:559-564
16. Huupponen E, Saunamäki T, Saastamoinen A, Kulkas A, Tenhunen M, Himanen S-L (2009) Improved computational frontocentral sleep depth parameters show differences between apnea patients and control subjects. Med Biol Eng Comput 47:3-10
17. Temuçin CM, Tokçaer AB, Bilir E (2005) Detection of EEG background abnormalities in epilepsy by a new spectral index. Clin Neurophysiol 116:933-947
18. Van Putten MJ (2007) The revised brain symmetry index. Clin Neurophysiol 118:2362-2367
19. Bachmann M, Kalda J, Lass J, Tuulik V, Sakki M, Hinrikus H (2005) Non-linear analysis of the electroencephalogram for detecting effects of low-level electromagnetic fields. Med Biol Eng Comp 43:142-149
20. Bachmann M, Hinrikus H, Aadamsoo K, Võhma Ü , Lass J, Rubljova J, Suhhova A, Tuulik V (2007) Modulated microwave effects on individuals with depressive disorder. Environmentalist 27:505-510
21. Towers DN, Allen JJ (2009) A better estimate of the internal consistency reliability of frontal EEG asymmetry scores. Psychophysiology 46:132-142
22. Hinrikus H, Bachmann M, Lass J, Suhhova A, Tuulik V, Aadamsoo K, Vohma Y (2009) Method and device for determining depressive disorders by measuring bioelectromagnetic signals of the brain. US 2009/0054801/A1 from Feb 26, 2009
23. National Institute of Mental Health (2008) The numbers count: mental disorders in America. Describes statistics about mental disorders. http://www.nimh.nih.gov/health/publications/thenumbers-count-mental-disorders- in-america
24. Flor-Henry P, Lind JC, Koles ZJ (2004) A source-imaging (lowresolution electromagnetic tomography) study of the EEGs from unmedicated males with depression. Psychiatry Res Neuroimaging 109:191-207 (Pubitemid 38366439)