PMID- 31752533
OWN - NLM
STAT- MEDLINE
DCOM- 20200623
LR  - 20200623
IS  - 2169-5202 (Electronic)
IS  - 1550-0594 (Linking)
VI  - 51
IP  - 1
DP  - 2020 Jan
TI  - Electroencephalogram Source Connectivity in the Prediction of Electroconvulsive 
      Therapy Outcome in Major Depressive Disorder.
PG  - 10-18
LID - 10.1177/1550059419888338 [doi]
AB  - Objectives. Major depressive disorder (MDD) is a common and potentially lethal 
      disorder affecting up to 14% of all persons worldwide. However, one-third to 
      thwo-thirds of patients are nonresponders to first-line therapy. Even the 
      electroconvulsive therapy (ECT) as the option of choice in therapy-resistant MDD 
      still shows a high proportion of nonresponders. In case of a predicted 
      nonresponse to ECT, for example, by means of electrophysiological 
      electroencephalogram (EEG) parameters, other therapies of MDD (eg, augmentation, 
      polypharmacy etc) could be chosen. Methods. In this study, we retrospectively 
      analyzed 2-minute resting state EEGs from patients with MDD who underwent ECT 
      (6-12 sessions with 3 sessions per week) between 2006 and 2015 at the University 
      Hospital of Zurich. Following several lines of evidence, we hypothesized altered 
      linear EEG connectivity within the alpha band being predictive for treatment 
      outcome. We used a network-based statistics (NBS) approach to compare 
      connectivity measures between responders and nonresponders. Source estimates and 
      connectivity measures were mapped using low-resolution brain tomography (LORETA). 
      As the main outcome parameter served the retrospectively assessed efficacy index 
      (CGI-E) from the Clinical Global Impression (CGI) rating scale. Results. 
      Responders in comparison with non-responders showed a significant lower linear 
      lagged connectivity in widespread cortical areas within the EEG alpha 2 band. 
      Additionally, there were strong correlations between CGI ratings and connectivity 
      strength mainly within frontal cortices. Conclusions. Pretreatment 
      EEG-connectivity within the alpha 2 band has a predictive value for the efficacy 
      of ECT treatment.
FAU - Kirsten, Alexandra
AU  - Kirsten A
AUID- ORCID: 0000-0001-6544-9915
AD  - Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, 
      Zurich, Switzerland.
FAU - Seifritz, Erich
AU  - Seifritz E
AD  - Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, 
      Zurich, Switzerland.
FAU - Olbrich, Sebastian
AU  - Olbrich S
AD  - Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, 
      Zurich, Switzerland.
LA  - eng
PT  - Journal Article
DEP - 20191122
PL  - United States
TA  - Clin EEG Neurosci
JT  - Clinical EEG and neuroscience
JID - 101213033
SB  - IM
MH  - Adult
MH  - Aged
MH  - Depressive Disorder, Major/*therapy
MH  - *Electroconvulsive Therapy/methods
MH  - *Electroencephalography/methods
MH  - Female
MH  - Frontal Lobe/*physiopathology
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Retrospective Studies
MH  - Treatment Outcome
OTO - NOTNLM
OT  - EEG-connectivity
OT  - electroconvulsive therapy
OT  - major depressive disorder
OT  - networks
EDAT- 2019/11/23 06:00
MHDA- 2020/06/24 06:00
CRDT- 2019/11/23 06:00
PHST- 2019/11/23 06:00 [pubmed]
PHST- 2020/06/24 06:00 [medline]
PHST- 2019/11/23 06:00 [entrez]
AID - 10.1177/1550059419888338 [doi]
PST - ppublish
SO  - Clin EEG Neurosci. 2020 Jan;51(1):10-18. doi: 10.1177/1550059419888338. Epub 2019 
      Nov 22.