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2022 Postdoctoral Fellowship

A Multi-modal Integration of Neurobiological and Ecological Measures of Emotion Regulation in Suicidal Individuals

1 research finding from this AFSP-funded study.

Research finding · August 2025

Cognitive strategies to offset intense emotions can make the leap from the lab to real life

People with depression can struggle to manage their emotions during stressful moments, and this can increase their risk for suicidal thoughts. One coping strategy known to help is cognitive reappraisal, which can be thought of as rethinking a situation to change its emotional impact. While this skill has been linked to lower distress and lower suicide risk, most studies test it in lab settings where people are told exactly when and how to regulate their emotions. Many times, that doesn’t reflect how people actually respond in real life, where stress often comes without warning and emotion regulation happens (or doesn’t) on the fly. To better understand how emotion regulation plays out day to day, especially among people with major depressive disorder (MDD), efforts to look at not just whether someone can use reappraisal when asked, but whether they tend to use it naturally, and how that relates to real-world stress and suicide risk are needed.

With her AFSP funds, Dr. Sarah Herzog examined both the capacity and tendency to engage in cognitive reappraisal among 82 unmedicated adults with MDD. Using a machine learning–based “neural signature” developed from brain imaging data, Dr. Herzog and her team measured reappraisal-related brain activity while participants recalled upsetting personal memories in three ways: freely (unstructured), while deliberately distancing (reappraisal), and while emotionally immersing in the stressful memory. After the scan, participants reported their stress, mood, and suicidal thoughts multiple times a day for one week using real-time phone surveys. Interestingly, people who showed stronger reappraisal-related brain activity during unstructured recall (i.e., a proxy for their spontaneous tendency to regulate) were more likely to experience spikes in suicidal thoughts after daily stress. In contrast, those who showed stronger reappraisal activity when directed to distance had fewer increases in negative mood. These findings suggest that while the ability to reappraise when directed may help protect against emotional distress, a tendency to spontaneously engage in reappraisal, even during low-stakes reflection, may actually reflect underlying emotional vulnerability that could be addressed with treatment.

Citation: Herzog, S., Schneck, N., Galfalvy, H., Hwei-Choo, T., Schmidt, M., Michel, C. A., Sublette, M. E., Burke, A., Ochsner, K., Mann, J. J., Oquendo, M. A., & Stanley, B. H. (2025). A Neural Signature for Reappraisal as an Emotion Regulation Strategy: Relationship to Stress-Related Suicidal Ideation and Negative Affect in Major Depression. Biological psychiatry. Cognitive neuroscience and neuroimaging, 10(1), 94–102. https://doi.org/10.1016/j.bpsc.2024.08.011

This finding comes from an AFSP-funded study — see the grant below ↓

The grant behind this work · 2022 Postdoctoral Fellowship

A Multi-modal Integration of Neurobiological and Ecological Measures of Emotion Regulation in Suicidal Individuals

Sarah Herzog, PhD

Sarah Herzog, Ph.D.

Columbia University

Mentor: Barbara Stanley, Ph.D., Columbia University

Amount awarded
$132,900
Focus area
Neurobiological, Psychosocial

Inside the Research

Difficulty regulating negative emotions can cause vulnerability that contributes to suicidal behavior. This multi-method study combines neural, physiological, and real-time monitoring of emotion, stress, and coping to characterize impairments in emotion regulation (ER) associated with suicide risk. A machine-learning-based approach will be applied to derive a neural signature for ER-related brain activity and used to predict physiological reactivity to stress and spontaneous use of coping strategies in real-world settings. Findings may ultimately inform clinical interventions for suicide risk.

Full scientific abstract

Aims: Difficulty regulating negative emotion contributes vulnerability toward suicidal ideation and behavior; however, there is a dearth of data on how suicidal individuals regulate negative affect in response to stressors. The goal of this proposal is to provide a multidimensional assessment of emotion regulation (ER) in suicidal individuals by bridging lab-based and real-world measures of emotion regulation. We will do this by measuring spontaneous emotion regulation in an fMRI context, and relate it to real-world, time-varying coping with stressors over a seven-day ecological momentary assessment (EMA) period, as well as physiological reactivity (i.e., heart rate variability; HRV) to an induced stressor. Sample: The sample will consist of 90 MDDs ages 18-65, half with a history of suicide attempts (matched on sex and age). Data for 65 participants have already been collected, and an additional 25 participants will be recruited before Oct. 2022. The data will available to the applicant to process, aggregate, and analyze under expert mentorship. Measures/Procedure: We will use a neural signature for emotion regulation” derived using machine learning-based analysis of functional neuroimaging (fMRI) data “to track neural activity differentially associated with prompts to distance or immerse during an aversive image task. The signature will then be used to identify spontaneous expression of these strategies during a negative autobiographical memories task. Additionally, we will validate the neural signature by analyzing its relation to HRV, a non-invasive physiological indicator of emotion regulation, measured during the course of a lab-induced social stressor task. The emotion regulation neural signature will also be analyzed in relation to real-world coping with daily upsets, using EMA-derived measures of negative affect and suicidal ideation following stressors. We will examine group differences in these measures between suicidal individuals with and without a history of suicide attempt. As an exploratory analysis, the neural signature of ER will be used to predict SB over a 3-month follow-up. Hypotheses: Our central hypothesis is that greater spontaneous use of emotion regulation using a distancing strategy will be related to greater HRV reactivity to a lab-based stressor, more effective real-world coping with SI over the 7-day EMA period, and lower risk of SI and suicidal behavior (SB) at 3-month's follow-up. Potential impact: Our long-term goal is to identify effective short-term regulation strategies for regulation of negative affect and assess their utility as intervention targets in reducing SI/SB. Next Steps: This study will serve as a preliminary step and training opportunity in service of the applicant's goal of conducting independent research that considers both neural and physiological contributions to emotion dysregulation in suicidal individuals; and relates these measures to their real-world experiences of emotion, coping, and suicidal ideation and behavior. 

Keywords: emotion regulation, heart rate variability, neural signature, ecological momentary assessment

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