Frontal Theta Asymmetry as a Biomarker of Depression

Dharmadhikari, Ambrish; Tandle, Avinash; Jaiswal, Suyog Vijay; Sawant, Vishal; Vahia, Vihang N.; Jog, Nandini

doi:10.12809/eaap181705

Cited by 18 publications

(14 citation statements)

References 34 publications

(41 reference statements)

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“…The aim of distinguishing MDD and AN is to better understand EEG biomarkers and facilitate the early diagnosis and effective treatment of both these diseases ( 31 ). EEG frequencies (alpha, beta, theta, and delta) are potential biomarkers of depression ( 32 ). MDD and AN differ in theta oscillations (4–7 Hz) and the results show that there are differences in the eight electrodes of F3, O2, T3, P3, P4, FP1, FP2, and F8.…”

Section: Discussionmentioning

confidence: 99%

“…Studies indicate that a higher baseline theta activity is associated with greater improvement in depression ( 46 , 47 ). Additionally, frontal theta asymmetry is also a potential biomarker of depression ( 17 , 32 ). In 2000, Suetsugi et al ( 9 ) suggested that frontal midline theta is a reliable measure of anxiety and that low levels of theta are associated with higher levels of anxiety.…”

Section: Discussionmentioning

confidence: 99%

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Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder

Lei¹,

Liu²,

Gao³

et al. 2022

Front. Psychiatry

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BackgroundDue to substantial comorbidities of major depressive disorder (MDD) and anxiety disorder (AN), these two disorders must be distinguished. Accurate identification and diagnosis facilitate effective and prompt treatment. EEG biomarkers are a potential research hotspot for neuropsychiatric diseases. The purpose of this study was to investigate the differences in EEG power spectrum at theta oscillations between patients with MDD and patients with AN.MethodsSpectral analysis was used to study 66 patients with MDD and 43 patients with AN. Participants wore 16-lead EEG caps to measure resting EEG signals. The EEG power spectrum was measured using the fast Fourier transform. Independent samples t-test was used to analyze the EEG power values of the two groups, and p < 0.05 was statistically significant.ResultsEEG power spectrum of the MDD group significantly differed from the AN group in the theta oscillation on 4–7 Hz at eight electrode points at F3, O2, T3, P3, P4, FP1, FP2, and F8.ConclusionParticipants with anxiety demonstrated reduced power in the prefrontal cortex, left temporal lobe, and right occipital regions. Confirmed by further studies, theta oscillations could be another biomarker that distinguishes MDD from AN.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder

Lei¹,

Liu²,

Gao³

et al. 2022

Front. Psychiatry

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“…In humans, psychosocial stress is one of the main sources of stress. It is Frontiers in Aging Neuroscience 09 frontiersin.org (Dharmadhikari et al, 2018). Cholinergic theta oscillation appears in human subjects with increased anxiety (Shin et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

Activation of ventral tegmental area vesicular GABA transporter (Vgat) neurons alleviates social defeat stress-induced anxiety in APP/PS1 mice

Yao

Li²,

Kora³

et al. 2023

Front. Aging Neurosci.

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IntroductionAlzheimer’s disease (AD) is a progressive neurodegenerative disease that results in cognitive impairment and is often accompanied by anxiety. In this study, we investigated whether the activation of VTAVgat neurons could reduce anxiety in APP/PS1 mice. We hypothesized that acute social defeat stress (SDS) would lead to anxiety in APP/PS1 mice, and that the activation of VTAVgat neurons would alleviate this anxiety.MethodsWe exposed APP/PS1 mice to acute SDS and assessed anxiety using the open field test and elevated plus-arm test. Activated VTAVgat neurons was tested by cfos staining. Sleep quality was detected using electroencephalogram after SDS or non-SDS procedure. Sleep duration, sleep latency, and non-rapid eye movement (NREM) percentage were analyzed. VTAVgat neurons were chemogenetically activated by deschloroclozapine.ResultsOur results showed that acute SDS led to anxiety in APP/PS1 mice, as evidenced by increased anxiety-related behaviors in the open field and elevated plus-arm tests. Activation of VTAVgat neurons by SDS led to an increase in sleep duration, primarily due to a decrease in sleep latency and an increase in NREMs. However, the quality of sleep was poor. Chemogenetical activation of VTAVgat neurons improved sleep quality and relieved SDS-induced anxiety. Furthermore, the anxiety state correlated negatively with sleep duration and NREM percentage and correlated positively with theta power density in APP/PS1 mice.DiscussionOur study provides evidence that the activation of VTAVgat neurons alleviates SDS-induced anxiety in APP/PS1 mice, suggesting that poor sleep quality may exacerbate anxiety in AD. These findings may have important implications for the treatment of anxiety in AD, as targeting VTAVgat neurons could be a potential therapeutic approach.

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“…The author proposes the frontal theta asymmetry model for estimating valence of evoked emotions and also suggested electrode reduction for neuromarketing applications [28, 29]. Author proposes frontal theta as biomarker of depression [30].…”

Section: Summary Of Reviewsmentioning

confidence: 99%

“…Author [21] studied the effect of the musical stimulus by recruiting musician and non-musician subject. Authors [30, 35] investigated the impact of the musical stimulus on mentally depressed subjects.…”

Section: Summary Of Reviewsmentioning

confidence: 99%

Mental state and emotion detection from musically stimulated EEG

et al. 2018

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This literature survey attempts to clarify different approaches considered to study the impact of the musical stimulus on the human brain using EEG Modality. Glancing at the field through various aspects of such studies specifically an experimental protocol, the EEG machine, number of channels investigated, feature extracted, categories of emotions, the brain area, the brainwaves, statistical tests, machine learning algorithms used for classification and validation of the developed model. This article comments on how these different approaches have particular weaknesses and strengths. Ultimately, this review concludes a suitable method to study the impact of the musical stimulus on brain and implications of such kind of studies.

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Frontal Theta Asymmetry as a Biomarker of Depression

Cited by 18 publications

References 34 publications

Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder

Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder

Activation of ventral tegmental area vesicular GABA transporter (Vgat) neurons alleviates social defeat stress-induced anxiety in APP/PS1 mice

Mental state and emotion detection from musically stimulated EEG

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