Electroencephalographic spectral asymmetry index for detection of depression

被引:76
作者
Hinrikus, Hiie [1 ]
Suhhova, Anna [1 ]
Bachmann, Maie [1 ]
Aadamsoo, Kaire [2 ]
Vohma, Uelle [2 ]
Lass, Jaanus [1 ]
Tuulik, Viiu [1 ]
机构
[1] Technomedicum Tallinn Univ Technol, Dept Biomed Engn, EE-19086 Tallinn, Estonia
[2] N Estonia Reg Hosp, Psychiat Clin, EE-13419 Tallinn, Estonia
关键词
EEG analysis; Spectral asymmetry; Inter-hemispheric asymmetry; Coherence; Depression; RESOLUTION ELECTROMAGNETIC TOMOGRAPHY; EEG ALPHA ASYMMETRY; ALZHEIMERS-DISEASE; DISORDER;
D O I
10.1007/s11517-009-0554-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:1291 / 1299
页数:9
相关论文
共 24 条
  • [11] Hinrikus H., 2009, Patent No. [US2009/0054801, 20090054801]
  • [12] Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjects
    Huupponen, E.
    Saunamaki, T.
    Saastamoinen, A.
    Kulkas, A.
    Tenhunen, M.
    Himanen, S. -L.
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2009, 47 (01) : 3 - 10
  • [13] EEG power, frequency, asymmetry and coherence in male depression
    Knott, V
    Mahoney, C
    Kennedy, S
    Evans, K
    [J]. PSYCHIATRY RESEARCH-NEUROIMAGING, 2001, 106 (02) : 123 - 140
  • [14] Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG)
    Lehmann, Christoph
    Koenig, Thomas
    Jelic, Vesna
    Prichep, Leslie
    John, Roy E.
    Wahlund, Lars-Olof
    Dodge, Yadolah
    Dierks, Thomas
    [J]. JOURNAL OF NEUROSCIENCE METHODS, 2007, 161 (02) : 342 - 350
  • [15] Low-resolution electromagnetic tomography (LORETA) of cerebral activity in chronic depressive disorder
    Lubar, JF
    Congedo, M
    Askew, JH
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2003, 49 (03) : 175 - 185
  • [16] Investigating models of affect: Relationships among EEG alpha asymmetry, depression, and anxiety
    Mathersul, Danielle
    Williams, Leanne M.
    Hopkinson, Patrick J.
    Kemp, Andrew H.
    [J]. EMOTION, 2008, 8 (04) : 560 - 572
  • [17] Pop-Jordanova Nada, 2005, Prilozi, V26, P35
  • [18] Reid SA, 1998, PSYCHOPHYSIOLOGY, V35, P389, DOI 10.1111/1469-8986.3540389
  • [19] EEG sources in a group of patients with major depressive disorders
    Ricardo-Garcell, Josefina
    Gonzalez-Olvera, Jorge J.
    Miranda, Edgar
    Harmony, Thalia
    Reyes, Ernesto
    Almeida, Luis
    Galan, Lidice
    Diaz, Daniela
    Ramirez, Lizeth
    Fernandez-Bouzas, Antonio
    Aubert, Eduardo
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2009, 71 (01) : 70 - 74
  • [20] EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate
    Shen, Kai-Quan
    Li, Xiao-Ping
    Ong, Chong-Jin
    Shao, Shi-Yun
    Wilder-Smith, Einar P. V.
    [J]. CLINICAL NEUROPHYSIOLOGY, 2008, 119 (07) : 1524 - 1533