Abnormal approach-related motivation but spared reinforcement learning in MDD: Evidence from fronto-midline Theta oscillations and frontal Alpha asymmetry

Gheza, Davide; Bakic, Jasmina; Baeken, Chris; Raedt, Rudi De

doi:10.3758/s13415-019-00693-4

Cited by 23 publications

(13 citation statements)

References 109 publications

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“…Results showed that depressed patients were characterized by a lack of left dominance at restingstate, whereas during the task baseline and the following decision-making process they exhibited a larger right dominance compared to healthy subjects. Gheza and colleagues [60] examined frontal alpha asymmetry differences between MDD patients and healthy subjects during reward processing and reinforcement learning. Participants were presented with a probabilistic learning task where they had to learn, by trial and error, hidden stimulus-response associations.…”

Section: ) Eeg Asymmetrymentioning

confidence: 99%

Discriminative Power of EEG-Based Biomarkers in Major Depressive Disorder: A Systematic Review

et al. 2021

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Currently, the diagnosis of major depressive disorder (MDD) and its subtypes is mainly based on subjective assessments and self-reported measures. However, objective criteria as Electroencephalography (EEG) features would be helpful in detecting depressive states at early stages to prevent the worsening of the symptoms. Scientific community has widely investigated the effectiveness of EEG-based measures to discriminate between depressed and healthy subjects, with the aim to better understand the mechanisms behind the disorder and find biomarkers useful for diagnosis. This work offers a comprehensive review of the extant literature concerning the EEG-based biomarkers for MDD and its subtypes, and identify possible future directions for this line of research. Scopus, PubMed and Web of Science databases were researched following PRISMA's guidelines. The initial papers' screening was based on titles and abstracts; then full texts of the identified articles were examined, and a synthesis of findings was developed using tables and thematic analysis. After screening 1871 articles, 76 studies were identified as relevant and included in the systematic review. Reviewed markers include EEG frequency bands power, EEG asymmetry, ERP components, non-linear and functional connectivity measures. Results were discussed in relations to the different EEG measures assessed in the studies. Findings confirmed the effectiveness of those measures in discriminating between healthy and depressed subjects. However, the review highlights that the causal link between EEG measures and depressive subtypes needs to be further investigated and points out that some methodological issues need to be solved to enhance future research in this field.

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Section: ) Eeg Asymmetrymentioning

confidence: 99%

Discriminative Power of EEG-Based Biomarkers in Major Depressive Disorder: A Systematic Review

et al. 2021

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“…A meta-analysis on the association of FAA with different affective states found a moderate effect size for the relationship of right-sided resting frontal asymmetry with depression (rs = .26) as well as with anxiety (rs = .25) [3]. More recent studies continue to solidify previous findings on the relationship between depression and frontal hemispheric asymmetry, showing that depressed individuals present negative FAA scores [16], indicating greater right-lateralized activity, in contrast to the balanced cortical activity shown by healthy controls [17][18][19]. Results on anxiety are scarcer and more contradictory, however.…”

Section: Introductionmentioning

confidence: 74%

Frontal Alpha Asymmetry and negative mood: a cross-sectional study in older and young adults

Barros¹,

Pereira²,

Sampaio³

et al. 2022

Preprint

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Frontal alpha asymmetry (FAA) has been associated with emotional processing and affective psychopathology. Negative and withdrawal stimuli and behaviors have been related to high levels of right cortical activity, while positive and approach stimuli and behaviors have been related to increased left cortical activity. Inconsistent results in terms of depressive and anxious symptoms and its relationship to FAA has been previously observed, especially at older ages. Additionally, no studies to date have evaluated whether loneliness, a negative feeling, is related to FAA. Therefore, this study aimed: i) to compare FAA between younger and older adults; and, ii) to investigate the possible relationships between loneliness, depressive and anxious symptomatology with FAA in young and older adults. Resting electroencephalogram recordings of 39 older (Mage =70.51, SD = 7.12) and 57 younger adults (Mage = 22.54, SD = 3.72) were analyzed. Results showed greater left than right cortical activity for both groups, and higher FAA for older than younger adults. FAA was not predicted by loneliness, depressive or anxious symptomatology as shown by regression analyses. Findings bring clarity about FAA patterns at different ages and open the discussion about the relationship between negative emotional processing and frontal cortical imbalances, especially at older ages.

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“…The findings from these studies include an elevated absolute or relative alpha power at parietal, frontal, or occipital sites. Researchers have also reported the role of theta band rhythms in connection with MDD [71]. There is an increasing body of evidence indicating that the lower gamma band oscillatory power can be a prospective biomarker for MDD [72].…”

Section: Neural Oscillations As Biomarkersmentioning

confidence: 99%

Phase-Dependent Deep Brain Stimulation: A Review

Kumari

Kouzani

2021

Brain Sciences

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Neural oscillations are repetitive patterns of neural activity in the central nervous systems. Oscillations of the neurons in different frequency bands are evident in electroencephalograms and local field potential measurements. These oscillations are understood to be one of the key mechanisms for carrying out normal functioning of the brain. Abnormality in any of these frequency bands of oscillations can lead to impairments in different cognitive and memory functions leading to different pathological conditions of the nervous system. However, the exact role of these neural oscillations in establishing various brain functions and the brain pathologies are still under investigation. Closed loop deep brain stimulation paradigms with neural oscillations as biomarkers could be used as a mechanism to understand the function of these oscillations. For making use of the neural oscillations as biomarkers to manipulate the frequency band of the oscillation, phase of the oscillation, and stimulation signal are of importance. This paper reviews recent trends in deep brain stimulation systems and their non-invasive counterparts, in the use of phase specific stimulation to manipulate individual neural oscillations. In particular, the paper reviews the methods adopted in different brain stimulation systems and devices for stimulating at a definite phase to further optimize closed loop brain stimulation strategies.

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Abnormal approach-related motivation but spared reinforcement learning in MDD: Evidence from fronto-midline Theta oscillations and frontal Alpha asymmetry

Cited by 23 publications

References 109 publications

Discriminative Power of EEG-Based Biomarkers in Major Depressive Disorder: A Systematic Review

Discriminative Power of EEG-Based Biomarkers in Major Depressive Disorder: A Systematic Review

Frontal Alpha Asymmetry and negative mood: a cross-sectional study in older and young adults

Phase-Dependent Deep Brain Stimulation: A Review

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