Magnetoencephalographic Correlates of Suicidal Ideation in Major Depression

Gilbert, Jessica R.; Ballard, Elizabeth D.; Galiano, Christina S.; Nugent, Allison C.; Zarate, Carlos A.

doi:10.1016/j.bpsc.2019.11.011

Cited by 15 publications

(26 citation statements)

References 56 publications

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“…In addition, the bilateral insula, middle occipital cortex, medial prefrontal cortex, and parahippocampal gyri were activated in the contrast between the self-death and self-life conditions. The activation of bilateral insula by the S-IAT is particularly notable given previous magnetoencephalography (MEG) findings from our group demonstrating a significant negative association between suicide ideation and gamma power in salience network regions, including the anterior insula, after ketamine administration (7). The results support the S-IAT as an ideal potential model to leverage computational approaches to studying suicide risk, given that it has been linked to prospective suicidal behavior, is feasible to administer in a neuroimaging environment, and may directly probe neural circuits related to suicide ideation.…”

Section: Introductionsupporting

confidence: 51%

“…Although a number of neuroimaging studies have examined depression, bipolar disorder, or anxiety, the neuroimaging literature for suicide is relatively sparse. Structural and functional connectivity disturbances in ventral prefrontal cortex, insula, anterior cingulate, amygdala, hippocampus, and ventral striatum have all been implicated in suicidal thoughts and behaviors (4)(5)(6)(7). Critically, most of these studies characterized suicide risk using lifetime history of suicide attempt-an event that could have occurred recently or years in the past.…”

Section: Introductionmentioning

confidence: 99%

“…First, differences in gamma power were evaluated between self-life and self-death associations in a group of HVs in order to examine brain networks that mediate suiciderelated thoughts. Gamma was selected because it is considered a putative surrogate marker of excitation-inhibition balance (15), has been suggested as a translational biomarker for psychiatric conditions such as depression, bipolar disorder (16), and schizophrenia (17), and has been previously associated with suicide ideation (7). Second, connectivity was modeled in a simple network activated by the task, which included early visual cortex, amygdala, and anterior insula.…”

Section: Introductionmentioning

confidence: 99%

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Network Changes in Insula and Amygdala Connectivity Accompany Implicit Suicidal Associations

et al. 2020

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Limited knowledge exists regarding the neurobiology of suicidal thoughts, given that there are currently no direct probes of the suicidal state. This pilot study used magnetoencephalography (MEG) to evaluate correlates of the implicit association between the self and death compared to the self and life as objective markers of suicide risk. Healthy volunteers (HVs; n=21) completed a modified version of the Suicide Implicit Association Task (S-IAT) during MEG scanning. Gamma power-which is considered a proxy measure of excitation-inhibition balance-was directly compared in the self-death/self-life contrast. As a proof-of-concept, the ability of dynamic causal modeling to categorize HVs versus four individuals with recent suicide crisis (SC) was evaluated. In HVs, enhanced gamma power in both amygdala and anterior insula were found for the self-death compared with self-life contrast. In addition, connectivity estimates between early visual cortex, anterior insula, and amygdala correctly categorized SC participants with 77% to 82% sensitivity and 80% to 85% specificity. These findings, which implicate network-level changes in salience network and amygdala connectivity in mediating suicidal associations, require further replication in larger samples. Direct probing of suicidal thoughts with the S-IAT may provide foundational markers of neural circuits associated with suicide risk.

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Section: Introductionsupporting

confidence: 51%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Network Changes in Insula and Amygdala Connectivity Accompany Implicit Suicidal Associations

et al. 2020

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“…Subsequent resting-state studies assessing changes in large-scale functional brain networks associated with suicide risk in adults have reported similar networks of brain regions. For example, resting-state studies of SI in adults diagnosed with MDD have found network changes in the hippocampus, thalamus, caudate ( 66 ), and anterior insula ( 72 ) associated with SI scores. In addition, altered seed-based connectivity has been found in the hippocampus, thalamus, and temporal lobe ( 69 ) as well as the inferior frontal, orbital, and parietal lobes ( 75 ).…”

Section: Neurobiological Markers Of Suicidal Thoughts and Suicide Rismentioning

confidence: 99%

“…The authors posit that these changes in connectivity within anterior cingulate and frontoparietal systems may reflect normalization of function, which potentially contributes to reductions in SI. A second study assessing standard dose ketamine and SI measured salience network connectivity changes between anterior cingulate and insula directly, finding that ketamine administration lowered the membrane capacitance of superficial pyramidal cells ( 72 ). The authors suggest that this mechanism could lead to increased bursting of superficial pyramidal cells and increased cortical excitation, perhaps reflecting the mechanism which leads to normalization of connectivity between these salience network regions and other large-scale functional brain networks.…”

Section: Neurobiological Markers Of Suicidal Thoughts and Suicide Rismentioning

confidence: 99%

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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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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Magnetoencephalographic Correlates of Suicidal Ideation in Major Depression

Cited by 15 publications

References 56 publications

Network Changes in Insula and Amygdala Connectivity Accompany Implicit Suicidal Associations

Network Changes in Insula and Amygdala Connectivity Accompany Implicit Suicidal Associations

New Methods for Assessing Rapid Changes in Suicide Risk

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

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