Literature DB >> 18598845

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

Yu Sun1, Yingjie Li, Yisheng Zhu, Xingshi Chen, Shanbao Tong.   

Abstract

Anomalies in beta-waves have been found to be associated with mental depression. However, little is known about the causality of cortical inter- and intrahemispheric dependence of depressed patients in various cognitive states. This study investigates the possibility of beta-wave interdependence in depressed patients subjected to mental arithmetic tasks following relaxation. The EEGs of 12 depressed patients (age=37.2+/-11.8 years from 15 to 74 years, male/female=7/5) and 12 healthy volunteers (age=37.5+/-11.7 years from 22 to 58 years, male/female=6/6) were analyzed using a causality measure, partial directed coherence (PDC). The depressed patients showed lower frontal cortical interdependence in both the resting and mental arithmetic task states, confirming the histopathological evidence which shows that supra- and infragranular layers of the dorsolateral prefrontal cortex of depressed patients decrease both in density and in the size of neurons and glial cells. On the other hand, the mental arithmetic task was found to enhance inter- and intrahemispheric interactions in both groups, and such hemispheric hyperactivation is consistent with findings from functional imaging. The results presented here indicate that PDC can be a useful tool for evaluating changes in cortical interdependence in different psychotic or mental states and might well be used for diagnosis and therapeutic assessment in affective disorders.

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Year:  2008        PMID: 18598845     DOI: 10.1016/j.brainresbull.2008.05.001

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  7 in total

1.  Electroencephalographic spectral asymmetry index for detection of depression.

Authors:  Hiie Hinrikus; Anna Suhhova; Maie Bachmann; Kaire Aadamsoo; Ulle Võhma; Jaanus Lass; Viiu Tuulik
Journal:  Med Biol Eng Comput       Date:  2009-11-13       Impact factor: 2.602

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

Authors:  Andrew F Leuchter; Ian A Cook; Aimee M Hunter; Chaochao Cai; Steve Horvath
Journal:  PLoS One       Date:  2012-02-24       Impact factor: 3.240

3.  Abnormal EEG Complexity and Functional Connectivity of Brain in Patients with Acute Thalamic Ischemic Stroke.

Authors:  Shuang Liu; Jie Guo; Jiayuan Meng; Zhijun Wang; Yang Yao; Jiajia Yang; Hongzhi Qi; Dong Ming
Journal:  Comput Math Methods Med       Date:  2016-06-14       Impact factor: 2.238

4.  Comparison of Electroencephalography (EEG) Coherence between Major Depressive Disorder (MDD) without Comorbidity and MDD Comorbid with Internet Gaming Disorder.

Authors:  Joohyung Youh; Ji Sun Hong; Doug Hyun Han; Un Sun Chung; Kyoung Joon Min; Young Sik Lee; Sun Mi Kim
Journal:  J Korean Med Sci       Date:  2017-07       Impact factor: 2.153

5.  Potential Neurophysiological Mechanisms of 1Hz-TMS to the Right Prefrontal Cortex for Depression: An Exploratory TMS-EEG Study in Healthy Participants.

Authors:  Yoshihiro Noda
Journal:  J Pers Med       Date:  2021-01-24

6.  Hypofunction of directed brain network within alpha frequency band in depressive patients: a graph-theoretic analysis.

Authors:  Shuang Liu; Sitong Chen; Zhenni Huang; Xiaoya Liu; Meijuan Li; Fangyue Su; Xinyu Hao; Dong Ming
Journal:  Cogn Neurodyn       Date:  2022-02-05       Impact factor: 3.473

7.  Pre-treatment EEG signal variability is associated with treatment success in depression.

Authors:  Natalia Jaworska; Hongye Wang; Dylan M Smith; Pierre Blier; Verner Knott; Andrea B Protzner
Journal:  Neuroimage Clin       Date:  2017-10-31       Impact factor: 4.881

  7 in total

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