Biofeedback EEG can quantify abnormal phenomenon of EEG in psychology

  • Yin Hongying
  • Jiang Hongbo
  • Zhao Meisheng
  • Sun Yan
  • Yang Yibo
Keywords: Keywords, Biofeedback EEG, Quantify, θ wave, β wave, Abnormal phenomenon

Abstract

TEEG (electroencephalography, EEG) is a kind of single which we know human brain function active.BT (Biofeedback Therapy, BT) is based the method of EEG technology, focusing on the studies of human thoughts and emotions activities. We shall study new points that the two kinds of EEG technology are used simultaneously, to find the BT can be quantified abnormal EEG activities in mental illness, to provide the certain reference value in clinical. We found that BT can quantify β wave, θ wave and some abnormal phenomenon of traditional EEG. Therefore, based on the conventional examination of the traditional EEG in clinical, we used BT to further check. The results show not only to quantify the advantages of traditional EEG brain waves specific values occur, such as the specific data of fatigue (θ wave) and anxiety (β wave), but also abnormal phenomenon. Quantized data would become more intuitive, and to assess the clinical efficacy of treatment more scientific and objectivity.

References

1. Hammond DC. Neuro feedback with anxiety an ad affective disorders. J Child Adolesc Psychiatr Clin N Am, 2005, 14:105_123.
2. Walter WG. The localization of cerebral tumors by electroencephalography. Lancet 1936, 2:205_308.
3. Walter WG, Dovey VJ. Delineation of subcortical tumors by direct electroencephalography. Lancet 1946, 1:5_9.
4. Na S H, Jin S H, Kim S Y et al. EEG in schizophrenic patients: mutual information analysis. Clin Neurophysiol, 2002, 113(12):1954_1960.
5. Lehrer P. Applied psychophysiology: beyond the boundaries of biofeedback (mending a wall, a brief history of our field, and applications to control of the muscles and cardio respiratory systems). J Appl Psychophysiology Biofeedback, 2003(4)28:291_304.
6. Arbel Y. Brain-computer interface: transforming electrical brain activity into communication. The ASHA Leader, 2007, 12(12):14_15.
7. Francesco P, Konstantions P, Stefano S et al. Integration of a P300 brain computer interface into virtual environment. Virtual Rehabilitation, 2007, 27:88.
8. Sieg KG.et al. Brain imaging: evoked potential, quantitative EEG and SPECT abnormalities in schizophrenia, J-psychiatry-Neurosci, 1991, 16(1):4_44.
9. Schenton ME.et al. Correlations between abnormal auditory P300 topography and positive symptoms in schizophrenia, apreliminary report, Biol-psychiary, 1989, 25(6):710_716.
10. John S. Ebersole, Timothy A. Pedley.Current Practice of Clinical Electroencephalography, 3th edition. People's Medical Publishing House, 2009, 8:449_456.
11. Schagass C.et al. Evoked potential Topography in unmedicated and medicated schzophrenia, Lnt-J-psychophysiol, 1991, 10(3):231_224.
12. Breslau J.et al. Topographic EEG changes with normal aging and SDAT, Electroeph Clin Neurophysiol, 1989, 72(4):281_289.
13. ZHANG Ping, el at. Impact of Cognitive Reappraisal Intervention on State Gratitude in College Students. Chinese Journal of Clinical Psychology.2016, 24(1):164_168.
14. Hong-ying YIN, Meisheng ZHAO, et al. Preliminary Evidences of Obsessive Compulsive Disorder as Thinking Disorder. 2014 International Conference on E-commerce and Contemporary Economic Development, ECED2014:355_359
Published
2018-03-19
Section
Original Research Article