Identification of Depression Subtypes Based on EEG and Machine Learning-Reference-Cited by-同舟云学术

Identification of Depression Subtypes Based on EEG and Machine Learning

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:IEEE/WIC/ACM International Conference on Web Intelligence
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Author:

Zhou Haiyan¹,Zhao Zezhou¹,Gao Ziheng¹,Feng Lei²

Affiliation:

1. Faculty of Information Technology, Beijing University of Technology, China

2. Key Laboratory of Mental Disroders Beijing Anding Hospital, Capital Medical University The National Clinical Research Center for Mental Disorders, China

Funder

Beijing Municipal Natural Science Foundation

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3498851.3498970

Reference26 articles.

1. The use of the EEG in measuring therapeutic drug action: focus on depression and antidepressants

2. Single channel EEG analysis for detection of depression

3. Electroencephalographic and perceptual asymmetry differences between responders and nonresponders to an SSRI antidepressant21Data from two treatment protocols were combined so as to yield sufficient samples of female and male fluoxetine responders and nonresponders. With the exception of the initial placebo period in one study, the treatment protocols were comparable in terms of both fluoxetine doses and the raters evaluating treatment response. Most importantly, the differences between fluoxetine responders and nonresponders reported for the total samples were also evident when only the data for the placebo-controlled protocol were analyzed; however, the larger total sample allowed us to also take patient gender into account.22The 18 healthy women were screened for psychopathology using a structured interview schedule and were excluded if they had a hearing loss, substance abuse, a history of head trauma, or other neurologic disorder. They did not differ significantly from the female patients in education (mean = 15.8, SD = 1.3) or handedness (LQ = 84.7, SD = 20.6), but they were somewhat younger than the female patients [mean age = 27.6, SD = 6.9;t(35) = 3.21,p = .001]. Age was not, however, related to perceptual asymmetry scores of either female patients (r = −.01, ns) or male patients (r = −.02, ns) on the fused words test. Nor was age significantly correlated with alpha asymmetry scores of female patients (r = −.09, ns) or male patients (r = .11, ns).

4. Electroencephalographic measures of regional hemispheric activity in offspring at risk for depressive disorders

5. Alessandro Carvalho , Helena Moraes , Heitor Silveira , Pedro Ribeiro , Roberto A.M. Piedade , Andréa C. Deslandes , Jerson Laks , and Marcio Versiani . 2011. EEG frontal asymmetry in the depressed and remitted elderly: Is it related to the trait or to the state of depression?Journal of Affective Disorders 129, 1 ( 2011 ), 143–148. https://doi.org/10.1016/j.jad.2010.08.023. Alessandro Carvalho, Helena Moraes, Heitor Silveira, Pedro Ribeiro, Roberto A.M. Piedade, Andréa C. Deslandes, Jerson Laks, and Marcio Versiani. 2011. EEG frontal asymmetry in the depressed and remitted elderly: Is it related to the trait or to the state of depression?Journal of Affective Disorders 129, 1 (2011), 143–148. https://doi.org/10.1016/j.jad.2010.08.023.

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1. Technical and clinical considerations for electroencephalography-based biomarkers for major depressive disorder;npj Mental Health Research;2023-10-25