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Cited by 437

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Real-Time Self-Regulation of Emotion Networks in Patients with Depression

Open access
Linden, David E. J., Habes, Isabelle, Johnston, Stephen J., Linden, Stefanie, Tatineni, Ranjit, Subramanian, Leena, Sorger, Bettina, Healy, David, Goebel, Rainer·2012·PLoS ONE
DOI 10.1371/journal.pone.0038115
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Abstract

Many patients show no or incomplete responses to current pharmacological or psychological therapies for depression. Here we explored the feasibility of a new brain self-regulation technique that integrates psychological and neurobiological approaches through neurofeedback with functional magnetic resonance imaging (fMRI). In a proof-of-concept study, eight patients with depression learned to upregulate brain areas involved in the generation of positive emotions (such as the ventrolateral prefrontal cortex (VLPFC) and insula) during four neurofeedback sessions. Their clinical symptoms, as assessed with the 17-item Hamilton Rating Scale for Depression (HDRS), improved significantly. A control group that underwent a training procedure with the same cognitive strategies but without neurofeedback did not improve clinically. Randomised blinded clinical trials are now needed to exclude possible placebo effects and to determine whether fMRI-based neurofeedback might become a useful adjunct to current therapies for depression.

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Metadata

Authors
Linden, D. E. J., Habes, I., Johnston, S. J., Linden, S., Tatineni, R., Subramanian, L., Sorger, B., Healy, D., & Goebel, R.
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2012-06-04
Volume
7
Issue
6
Pages
e38115
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0038115
OpenAlex
W2109450100
Cited by
437
References
46
FWCI
19.65
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Real-Time Self-Regulation of Emotion Networks in Patients with Depression. https://app.cochat.ai/papers/10.1371/journal.pone.0038115
The paper
Linden, D. E. J., Habes, I., Johnston, S. J., Linden, S., Tatineni, R., Subramanian, L., Sorger, B., Healy, D., & Goebel, R. (2012). Real-Time Self-Regulation of Emotion Networks in Patients with Depression. PLoS ONE. https://doi.org/10.1371/journal.pone.0038115

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.