2016
DOI: 10.1016/j.nicl.2016.02.003
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Correlation between amygdala BOLD activity and frontal EEG asymmetry during real-time fMRI neurofeedback training in patients with depression

Abstract: Real-time fMRI neurofeedback (rtfMRI-nf) is an emerging approach for studies and novel treatments of major depressive disorder (MDD). EEG performed simultaneously with an rtfMRI-nf procedure allows an independent evaluation of rtfMRI-nf brain modulation effects. Frontal EEG asymmetry in the alpha band is a widely used measure of emotion and motivation that shows profound changes in depression. However, it has never been directly related to simultaneously acquired fMRI data. We report the first study investigat… Show more

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Cited by 139 publications
(203 citation statements)
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References 81 publications
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“…The majority of these studies employed a cross-sectional design. The longitudinal within-subjects design of the current study allows us to extend this literature by replicating previous findings in a pre-post test design and further supporting the hypothesis that treatments for MDD changes positive emotional processing(17, 50). …”
Section: Discussionsupporting
confidence: 79%
“…The majority of these studies employed a cross-sectional design. The longitudinal within-subjects design of the current study allows us to extend this literature by replicating previous findings in a pre-post test design and further supporting the hypothesis that treatments for MDD changes positive emotional processing(17, 50). …”
Section: Discussionsupporting
confidence: 79%
“…Based on this finding, BMIs are currently being tested as therapeutic tools for various brain disorders, such as attention-deficit disorder (Lim et al, 2012), epilepsy (Strehl et al, 2014), and depression (Zotev et al, 2016). Here, we provide an overview of the current state and future clinical applications of BMI technology in neurorehabilitation, while stressing the main challenges for the effective implementation of this novel technology into broader clinical practice.…”
Section: Introductionmentioning
confidence: 99%
“…All the datasets for this study were collected at the Laureate Institute for Brain Research (Zotev et al, 2016) and include simultaneously acquired EEG and rsFMRI recordings at 4ms for 500s as well as HRA T1 volumes (LIBR-D). Additionally, these simultaneous EEG and rsFMRI acquisitions for each subject were repeated tree times.…”
Section: Resultsmentioning
confidence: 99%