Multilayer MEG functional connectivity as a potential marker for suicidal thoughts in major depressive disorder

Nugent, Allison C.; Ballard, Elizabeth D.; Gilbert, Jessica R.; Tewarie, Prejaas; Brookes, Matthew J.; Zarate, Carlos A.

doi:10.1016/j.nicl.2020.102378

Cited by 20 publications

(15 citation statements)

References 72 publications

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“…Another study of recent attempters found that suicidal behavior was associated with distinct patterns of connectivity within the executive control network and between the executive control, salience, and default mode networks ( 68 ). Similar findings of distinct, between-network associations between cross-frequency amplitude-amplitude connectivity in low-frequency (delta and theta) bands and SI have been reported, with particular hubs emerging from the hippocampus, anterior insula, and bilateral dorsolateral prefrontal cortex ( 81 ). Furthermore, among young adults diagnosed with MDD, altered connectivity was reported within subregions of the anterior cingulate cortex in suicide attempters compared to non-attempters ( 74 ).…”

Section: Neurobiological Markers Of Suicidal Thoughts and Suicide Rissupporting

confidence: 75%

New Methods for Assessing Rapid Changes in Suicide Risk

et al. 2021

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Rapid-acting interventions for the suicide crisis have the potential to transform treatment. In addition, recent innovations in suicide research methods may similarly expand our understanding of the psychological and neurobiological correlates of suicidal thoughts and behaviors. This review discusses the limitations and challenges associated with current methods of suicide risk assessment and presents new techniques currently being developed to measure rapid changes in suicidal thoughts and behavior. These novel assessment strategies include ecological momentary assessment, digital phenotyping, cognitive and implicit bias metrics, and neuroimaging paradigms and analysis methodologies to identify neural circuits associated with suicide risk. This review is intended to both describe the current state of our ability to assess rapid changes in suicide risk as well as to explore future directions for clinical, neurobiological, and computational markers research in suicide-focused clinical trials.

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Section: Neurobiological Markers Of Suicidal Thoughts and Suicide Rissupporting

confidence: 75%

New Methods for Assessing Rapid Changes in Suicide Risk

et al. 2021

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“…Additional analyses also revealed decreased nodal clustering in several cortical hubs spread over frontal regions, as well as the temporal lobe and the visual cortex [ 157 ]. Multi-layer analyses run on MEG data to explore interareal oscillatory cross-talking showed similar results, namely a decrease in alpha connectivity in depressed participants [ 158 ]. Conversely, alpha-tuned repetitive TMS protocols were shown to ignite an increase in connectivity in MDD, displaying symptom improvements [ 159 ].…”

Section: Major Depressive Disorder (Mdd)mentioning

confidence: 99%

The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research

et al. 2022

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Alpha oscillations (7–13 Hz) are the dominant rhythm in both the resting and active brain. Accordingly, translational research has provided evidence for the involvement of aberrant alpha activity in the onset of symptomatological features underlying syndromes such as autism, schizophrenia, major depression, and Attention Deficit and Hyperactivity Disorder (ADHD). However, findings on the matter are difficult to reconcile due to the variety of paradigms, analyses, and clinical phenotypes at play, not to mention recent technical and methodological advances in this domain. Herein, we seek to address this issue by reviewing the literature gathered on this topic over the last ten years. For each neuropsychiatric disorder, a dedicated section will be provided, containing a concise account of the current models proposing characteristic alterations of alpha rhythms as a core mechanism to trigger the associated symptomatology, as well as a summary of the most relevant studies and scientific contributions issued throughout the last decade. We conclude with some advice and recommendations that might improve future inquiries within this field.

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“…Healthy controls were not included. In the recent MEG study, they didn't capture the group difference, but revealed that electrophysiological connectivity, as coupling of low frequency power (delta and theta) with alpha and beta power, was strongly related to SI [55]. These published MEG study on suicide didn't consider the sub-second dynamics in spontaneous fluctuations, but validated the potential of MEG to explore SA and inspired us to make full use of MEG temporal information.…”

Section: Discussionmentioning

confidence: 99%

Spontaneous transient states of fronto-temporal and default-mode networks altered by suicide attempt in major depressive disorder

Zhang

Tian

Dai

et al. 2022

Eur Arch Psychiatry Clin Neurosci

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Major depressive disorder (MDD) is associated with increased suicidality, and it's still challenging to identify suicide in clinical practice. Although suicide attempt (SA) is the most relevant precursor with multiple functional abnormalities reported from neuroimaging studies, little is known about how the spontaneous transient activated patterns organize and coordinate brain networks underlying SA. Thus, we obtained resting-state magnetoencephalography data for two MDD subgroups of 44 non-suicide patients and 34 suicide-attempted patients, together with 49 matched health-controls. For the source-space signals, Hidden Markov Model (HMM) helped to capture the sub-second dynamic activity via a hidden sequence of finite number of states. Temporal parameters and spectral activation were acquired for each state and then compared between groups. Here, HMM states characterized the spatiotemporal signatures of eight networks. The activity of suicide attempters switches more frequently into the fronto-temporal network, as the time spent occupancy of fronto-temporal state is increased and interval time is decreased compared with the non-suicide patients. Moreover, these changes are significantly correlated with Nurses' Global Assessment of Suicide Risk scores. Suicide attempters also exhibit increased state-wise activations in the theta band (4-8 Hz) in the posterior default mode network centered on posterior cingulate cortex, which can't be detected in the static spectral analysis. These alternations may disturb the time allocations of cognitive control regulations and cause inflexible decision making to SA. As the better sensitivity of dynamic study in reflecting SA diathesis than the static is validated, dynamic stability could serve as a potential neuronal marker for SA.

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Multilayer MEG functional connectivity as a potential marker for suicidal thoughts in major depressive disorder

Cited by 20 publications

References 72 publications

New Methods for Assessing Rapid Changes in Suicide Risk

New Methods for Assessing Rapid Changes in Suicide Risk

The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research

Spontaneous transient states of fronto-temporal and default-mode networks altered by suicide attempt in major depressive disorder

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