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

Lei, Lei; Liu, Ziwei; Gao, Mingxue; Liu, Zhifen; Sun, Ning; Yang, Chunxia; Zhang, Aixia; Wang, Yikun; Zhang, Kerang

doi:10.3389/fpsyt.2022.827536

Cited by 7 publications

(6 citation statements)

References 65 publications

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“…Our experiment found that higher values for Low θ power were not specific to the PTSD phenotype but were markers of non-resilient phenotypes (C1 and C2), and, conversely, lower values were a hallmark of resilience. Our result is in line with earlier observations of increased frontal θ power in MDD (Arns et al, 2015 ; Zhang et al, 2022 ), demonstrating that this biomarker is not specific to a pathology. However, our study goes further and shows that ECoG differences can be observed before stress exposure and can be used to predict phenotypes.…”

Section: Discussionsupporting

confidence: 94%

Steady electrocorticogram characteristics predict specific stress-induced behavioral phenotypes

Desnouveaux¹,

Poly²,

Edmond³

et al. 2023

Front. Neurosci.

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IntroductionDepending on the individual, exposure to an intense stressor may, or may not, lead to a stress-induced pathology. Predicting the physiopathological evolution in an individual is therefore an important challenge, at least for prevention. In this context, we developed an ethological model of simulated predator exposure in rats: we call this the multisensorial stress model (MSS). We hypothesized that: (i) MSS exposure can induce stress-induced phenotypes, and (ii) an electrocorticogram (ECoG) recorded before stress exposure can predict phenotypes observed after stress.MethodsForty-five Sprague Dawley rats were equipped with ECoG telemetry and divided into two groups. The Stress group (n = 23) was exposed to an MSS that combined synthetic fox feces odor deposited on filter paper, synthetic blood odor, and 22 kHz rodent distress calls; the Sham group (n = 22) was not exposed to any sensorial stimulus. Fifteen days after initial exposure, the two groups were re-exposed to a context that included a filter paper soaked with water as a traumatic object (TO) reminder. During this re-exposure, freezing behavior and avoidance of the filter paper were measured.ResultsThree behaviors were observed in the Stress group: 39% developed a fear memory phenotype (freezing, avoidance, and hyperreactivity); 26% developed avoidance and anhedonia; and 35% made a full recovery. We also identified pre-stress ECoG biomarkers that accurately predicted cluster membership. Decreased chronic 24 h frontal Low θ relative power was associated with resilience; increased frontal Low θ relative power was associated with fear memory; and decreased parietal β2 frequency was associated with the avoidant-anhedonic phenotype.DiscussionThese predictive biomarkers open the way to preventive medicine for stress-induced diseases.

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Section: Discussionsupporting

confidence: 94%

Steady electrocorticogram characteristics predict specific stress-induced behavioral phenotypes

Desnouveaux¹,

Poly²,

Edmond³

et al. 2023

Front. Neurosci.

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“…Previous studies searching for a physiological biomarker have primarily focused on periodic, oscillatory data, eliminating the aperiodic component by normalizing power band signals to a baseline period for trial-level analyses in task-based designs 32 , or by regressing out the negative linear slope with techniques such as IRASA 33 and FOOOF 34 . These studies have identified potential biomarkers for treatment response and mood in various frequency bands (theta 11 , alpha 9,10 , beta 7,9 , high and low gamma 7,9,35 ) across affective regions. However, the wide variety of reported frequency bands may all be driven by a common underlying phenomenon – a change in the power law slope across all frequency bands.…”

Section: Discussionmentioning

confidence: 99%

Aperiodic neural activity is a biomarker for depression severity

Hacker,

Mocchi,

Xiao

et al. 2023

Preprint

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A reliable physiological biomarker for Major Depressive Disorder (MDD) is necessary to improve treatment success rates by shoring up variability in outcome measures. In this study, we establish a passive biomarker that tracks with changes in mood on the order of minutes to hours. We record from intracranial electrodes implanted deep in the brain – a surgical setting providing exquisite temporal and spatial sensitivity to detect this relationship in a difficult-to-measure brain area, the ventromedial prefrontal cortex (VMPFC). The aperiodic slope of the power spectral density captures the balance of activity across all frequency bands and is construed as a putative proxy for excitatory/inhibitory balance in the brain. This study demonstrates how shifts in aperiodic slope correlate with depression severity in a clinical trial of deep brain stimulation for treatment-resistant depression (TRD). The correlation between depression severity scores and aperiodic slope is significant in N=5 subjects, indicating that flatter (less negative) slopes correspond to reduced depression severity, especially in the ventromedial prefrontal cortex. This biomarker offers a new way to track patient response to MDD treatment, facilitating individualized therapies in both intracranial and non-invasive monitoring scenarios.One sentence summaryThe aperiodic component of the power spectral density robustly tracks depression severity on the order of minutes to hours.

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“…Early studies found increased frontal–midline theta power in the resting state in MDD patients; this increase was located in the anterior cingulate cortex (ACC) and reflected impaired emotion regulation ( Jaworska et al, 2012 ). However, some following studies did not replicate this finding and even found an opposite abnormal pattern ( Jiang et al, 2016 ; Zhang Y. et al, 2022 ). Besides, some other studies have reported that the abnormal frontal theta asymmetry could be used as a biomarker to distinguish MDD patients from health populations ( Kwon et al, 1996 ; Dharmadhikari et al, 2018 ), but its functional correlate is still unclear.…”

Section: The Neural Mechanisms Of Tacs For Treating Mddmentioning

confidence: 91%

“…Regarding theta power, two recent perspectives are worth noting. First, recent studies have suggested that abnormalities in theta band power are more related to anxiety than to depression ( Gold et al, 2013 ; Zhang Y. et al, 2022 ); thus, the direct relationship between theta power abnormalities and MDD may require further studies to elucidate. Second, the interarea synchronization of theta power is critical for long-range information exchange ( Reinhart and Nguyen, 2019 ), and recent studies have found that global theta synchronization is abnormally increased in individuals with depression compared to healthy individuals during the resting state and performance of emotion regulation tasks ( Xing et al, 2017 , 2019 ).…”

Section: The Neural Mechanisms Of Tacs For Treating Mddmentioning

confidence: 99%

Transcranial alternating current stimulation for the treatment of major depressive disorder: from basic mechanisms toward clinical applications

Pan,

Ye,

Zhong

et al. 2023

Front. Hum. Neurosci.

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Non-pharmacological treatment is essential for patients with major depressive disorder (MDD) that is medication resistant or who are unable to take medications. Transcranial alternating current stimulation (tACS) is a non-invasive brain stimulation method that manipulates neural oscillations. In recent years, tACS has attracted substantial attention for its potential as an MDD treatment. This review summarizes the latest advances in tACS treatment for MDD and outlines future directions for promoting its clinical application. We first introduce the neurophysiological mechanism of tACS and its novel developments. In particular, two well-validated tACS techniques have high application potential: high-definition tACS targeting local brain oscillations and bifocal tACS modulating interarea functional connectivity. Accordingly, we summarize the underlying mechanisms of tACS modulation for MDD. We sort out the local oscillation abnormalities within the reward network and the interarea oscillatory synchronizations among multiple MDD-related networks in MDD patients, which provide potential modulation targets of tACS interventions. Furthermore, we review the latest clinical studies on tACS treatment for MDD, which were based on different modulation mechanisms and reported alleviations in MDD symptoms. Finally, we discuss the main challenges of current tACS treatments for MDD and outline future directions to improve intervention target selection, tACS implementation, and clinical validations.

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

Cited by 7 publications

References 65 publications

Steady electrocorticogram characteristics predict specific stress-induced behavioral phenotypes

Steady electrocorticogram characteristics predict specific stress-induced behavioral phenotypes

Aperiodic neural activity is a biomarker for depression severity

Transcranial alternating current stimulation for the treatment of major depressive disorder: from basic mechanisms toward clinical applications

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