Antidepressive effect of left dorsolateral prefrontal cortex neurofeedback in patients with major depressive disorder: A preliminary report

Takamura, Masahiro; Okamoto, Yasumasa; Shibasaki, Chiyo; Yoshino, Atsuo; Okada, Go; Ichikawa, Naho; Yamawaki, Shigeto

doi:10.1016/j.jad.2020.03.080

Cited by 37 publications

(46 citation statements)

References 16 publications

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“…Prefrontal cortex training generally influences other emotional regions, e.g., the amygdala, not a prefrontal cortex activity itself (that is also expected to occur in frontal alpha asymmetry EEG neurofeedback). A number of the amygdala rt-fMRI neurofeedback studies [146][147][148][149][150][151] are reviewed below along with a few ones targeting the prefrontal cortex [152,153], insula [36,152,154], and anterior cingulate [151,154].…”

Section: Real-time Fmri Neurofeedback (Rt-fmri Nfb)mentioning

confidence: 99%

“…One more neurofeedback study [153] targeted the left dorsolateral prefrontal area that is consonant with the frontal alpha upregulation idea and principal idea of the Johnston protocol to improve positive emotionality via cortical upregulation. A certain target was a set of voxels active during a localizer task involving executive functions and negatively correlated with the posterior cingulate activity at rest within anatomical borders of the left dorsolateral prefrontal area.…”

Section: Major Depressive Disorder (Mdd)mentioning

confidence: 99%

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The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review

Мельников

2021

Neural Plasticity

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This article is aimed at showing the current level of evidence for the usage of biofeedback and neurofeedback to treat depression along with a detailed review of the studies in the field and a discussion of rationale for utilizing each protocol. La Vaque et al. criteria endorsed by the Association for Applied Psychophysiology and Biofeedback and International Society for Neuroregulation & Research were accepted as a means of study evaluation. Heart rate variability (HRV) biofeedback was found to be moderately supportable as a treatment of MDD while outcome measure was a subjective questionnaire like Beck Depression Inventory (level 3/5, “probably efficacious”). Electroencephalographic (EEG) neurofeedback protocols, namely, alpha-theta, alpha, and sensorimotor rhythm upregulation, all qualify for level 2/5, “possibly efficacious.” Frontal alpha asymmetry protocol also received limited evidence of effect in depression (level 2/5, “possibly efficacious”). Finally, the two most influential real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback protocols targeting the amygdala and the frontal cortices both demonstrate some effectiveness, though lack replications (level 2/5, “possibly efficacious”). Thus, neurofeedback specifically targeting depression is moderately supported by existing studies (all fit level 2/5, “possibly efficacious”). The greatest complication preventing certain protocols from reaching higher evidence levels is a relatively high number of uncontrolled studies and an absence of accurate replications arising from the heterogeneity in protocol details, course lengths, measures of improvement, control conditions, and sample characteristics.

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Section: Real-time Fmri Neurofeedback (Rt-fmri Nfb)mentioning

confidence: 99%

Section: Major Depressive Disorder (Mdd)mentioning

confidence: 99%

The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review

Мельников

2021

Neural Plasticity

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“…Only one study did not report to use common psychiatric classification but recruited directly inpatients admitted for a major depressive episode (Takamura et al, 2020) ; 2) to aim at improving the clinical symptoms related to a given psychiatric disorder; 3) the participants had to regulate their brain activity based on the feedback signal from a given region of interest (ROI) or set of ROIs or the functional connectivity between two or more ROIs, which was recorded in real time with fMRI. After duplicate removal, we initially identified 502 records.…”

Section: 1materialsmentioning

confidence: 99%

“…Among them, 9 concerned mood disorders (Linden et al, 2012;Mehler et al, 2018;Takamura et al, 2020;Young et al, 2017Young et al, , 2014Yuan et al, 2014;Zahn et al, 2019;Zotev et al, 2020Zotev et al, , 2016, 5 psychotic disorders (Bauer et al, 2020;Dyck et al, 2016;Okano et al, 2020;Orlov et al, 2018;Ruiz et al, 2013), 4 trauma or stress-related disorders (Gerin et al, 2016;Nicholson et al, 2017;Zotev et al, 2018;Zweerings et al, 2018), 3 neurodevelopmental disorders (Alegria et al, 2017;Ramot et al, 2017;Zilverstand et al, 2017), 2 addiction disorders (Hartwell et al, 2016;Karch et al, 2015), 2 personality disorders (Paret et al, 2016;Zaehringer et al, 2019) and 1 anxiety disorders (Zilverstand et al, 2015) (see Figure 3A and Table 1).…”

Section: Included Studiesmentioning

confidence: 99%

“…Most of them focused on modulating the activity of the amygdala (AMY; 10 studies), the insula (4 studies), and the anterior cingulate cortex (ACC; 3 studies). The studies on mood disorders targeted a wide variety of ROIs located in cortical (mainly the prefrontal cortex PFC) (Linden et al, 2012;Takamura et al, 2020) and subcortical areas (mainly the AMY) involved in depression and emotion processing (Young et al, 2017(Young et al, , 2014Yuan et al, 2014;Zotev et al, 2020Zotev et al, , 2016.…”

Section: Included Studiesmentioning

confidence: 99%

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Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: a meta analysis

Pindi¹,

Houenou²,

Piguet³

et al. 2021

Preprint

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Background: Neurofeedback using real-time functional MRI (RT-fMRI-NF) is an innovative technique that allows to voluntarily modulating a targeted brain response and its associated behavior. Despite promising results in the current literature, its effectiveness on symptoms’ management in psychiatric disorders is not yet clearly demonstrated. This review aims to evaluate the effectiveness of RT-fMRI-NF in the treatment of psychiatric disorders and to provide methodological suggestions for future studies. Methods: Web of Science and PubMed databases were searched using the keywords: neurofeedback AND (fMRI OR “functional magnetic resonance imag*” OR “functional MRI”) AND (“real-time” OR “real time”). Twenty-six clinical trials focusing on psychiatric disorders were included and categorized according to the diagnostic categories. The RT-fMRI-NF efficacy was assessed by reporting changes in clinical endpoints before vs. after NF training and before or after NF training vs. follow-up. Results: Among the 26 studies, 18 were controlled trials, of which five showed significant clinical improvement in the experimental vs. control group after the training. Eight studies found an effect at follow-up on ADHD symptoms, emotion dysregulation, depressive symptoms, hallucinations, psychotic symptoms and specific fear. Limitations: Here, we only focused our review on fMRI-based NF training. Conclusion: The use of RT-fMRI-NF as a treatment for psychiatric symptoms is promising. However, further double blind, randomized-controlled trials are warranted.

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Brain–Computer Interfaces for Affective Neurofeedback Applications

Trambaiolli

Falk

2023

Handbook of Human‐Machine Systems

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Antidepressive effect of left dorsolateral prefrontal cortex neurofeedback in patients with major depressive disorder: A preliminary report

Cited by 37 publications

References 16 publications

The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review

The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review

Real-time fMRI neurofeedback as a new treatment for psychiatric disorders: a meta analysis

Brain–Computer Interfaces for Affective Neurofeedback Applications

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