Brendan Eliot Depue
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Brendan Eliot Depue has a total of 61 co-authors. Here are the top co-authors by number of shared publications:
- Lindsay Kathleen Knight
Interdisciplinary Program in Translational Neuroscience, University of Louisville, Louisville, KY, USA
6 shared publications - Teodora Stoica
Interdisciplinary Program in Translational Neuroscience, University of Louisville, Louisville, KY, USA
6 shared publications Farah Naaz
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
3 shared publications- Marie T. Banich
Institute of Cognitive Science, University of Colorado Boulder, Boulder, USA
3 shared publications L. Faul
Center for Cognitive Neuroscience, Duke University, DurhamNC, United States
2 shared publicationsNicholas D. Fogleman
Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, United States
2 shared publications
Latest Publications
- Open Access
- 3 June 2026
- Published by MDPI AG in Neuroimaging
- Vol. 1 (2) , 9
Functional Activity and Connectivity Patterns During Recent and Remote Autobiographical Memory Retrieval Depend on Subjective Qualia
Background/Objectives: Autobiographical memories (AMs) are an essential type of memory for our sense of self. A broad network of brain regions supports the retrieval of AMs, encompassing the medial temporal lobe (MTL), medial prefrontal cortex (mPFC), and parietal and visual cortices. However, little is known about how the subjective qualia of these memories relate to the underlying functional networks supporting their retrieval. Methods: AM cues were generated from early and recent life encompassing both object- and location-specific memories. While undergoing functional imaging, participants were cued on to retrieve differing time (remote, recent) and type (object, location) AMs followed by subjective ratings of each memory cued. Results: Functional activation patterns were consistent across the time and type of memory and reflect the existing literature. Functional connectivity analyses were similar across memory age, with only recent memories having greater connectivity compared to remote memories. Subjective qualia moderated the connectivity between regions for both remote and recent memories. Connections from the mPFC were modulated by multiple ratings across memory age, with important recent memories showing a significant negative connection with the hippocampus (pFDR < 0.05). Conclusions: Subjective qualia mostly modulated the connectivity profile of the mPFC with other visual and MTL regions underlying the mPFC’s importance during retrieval of autobiographical memories. These connections, in relation to differing subjective qualia across memory age, highlight the possible differences in the reinstantiation of AMs.
- 3 June 2026
- Published by MDPI AG in Neuroimaging
- Vol. 1 (2) , 9
Open AccessFunctional Activity and Connectivity Patterns During Recent and Remote Autobiographical Memory Retrieval Depend on Subjective Qualia
Background/Objectives: Autobiographical memories (AMs) are an essential type of memory for our sense of self. A broad network of brain regions supports the retrieval of AMs, encompassing the medial temporal lobe (MTL), medial prefrontal cortex (mPFC), and parietal and visual cortices. However, little is known about how the subjective qualia of these memories relate to the underlying functional networks supporting their retrieval. Methods: AM cues were generated from early and recent life encompassing both object- and location-specific memories. While undergoing functional imaging, participants were cued on to retrieve differing time (remote, recent) and type (object, location) AMs followed by subjective ratings of each memory cued. Results: Functional activation patterns were consistent across the time and type of memory and reflect the existing literature. Functional connectivity analyses were similar across memory age, with only recent memories having greater connectivity compared to remote memories. Subjective qualia moderated the connectivity between regions for both remote and recent memories. Connections from the mPFC were modulated by multiple ratings across memory age, with important recent memories showing a significant negative connection with the hippocampus (pFDR < 0.05). Conclusions: Subjective qualia mostly modulated the connectivity profile of the mPFC with other visual and MTL regions underlying the mPFC’s importance during retrieval of autobiographical memories. These connections, in relation to differing subjective qualia across memory age, highlight the possible differences in the reinstantiation of AMs.
- Open Access
- 27 March 2026
- Published by Frontiers Media SA in Frontiers in Psychology
- Vol. 17, 1782939
Investigating the functional neural network dynamics of cognitive-affective action planning during threat processing
Introduction: The current investigation used functional neuroimaging data from four different tasks involving threatening/fearful faces and screams to understand the functional organization of neural networks. Methods: Emphasis was placed on graph theory metrics of both local connectivity (participation coefficient, betweenness centrality) and global connectivity (global efficiency, modularity) to assess intra- and inter-network connectivity across a highly parcellated (412 nodes) brain template. A total of 124 participants (57% female; M Age = 22.06) were included in the investigation. Both mass univariate linear mixed effects models and multivariate classification via support vector machine were employed to uncover the nature of network dynamics across 8 well described intrinsic connectivity networks (ICNs). Results: Our findings suggest that a diffuse pattern of strengthened intra-network connectivity defined social threat processing. Univariate analyses exhibited a preponderance of nodes within the somatomotor network, indicating the potential for motor preparation during social threat processing. Multivariate classification exhibited more diffuse focal participation from limbic, default, visual, attentional, control and somatomotor ICNs. Conclusion: Our results suggest the role of intra- and inter-network functional organization in response to threat and carries implications for viewing various networks through dynamic perspectives.
- 27 March 2026
- Published by Frontiers Media SA in Frontiers in Psychology
- Vol. 17, 1782939
Open AccessInvestigating the functional neural network dynamics of cognitive-affective action planning during threat processing
Introduction: The current investigation used functional neuroimaging data from four different tasks involving threatening/fearful faces and screams to understand the functional organization of neural networks. Methods: Emphasis was placed on graph theory metrics of both local connectivity (participation coefficient, betweenness centrality) and global connectivity (global efficiency, modularity) to assess intra- and inter-network connectivity across a highly parcellated (412 nodes) brain template. A total of 124 participants (57% female; M Age = 22.06) were included in the investigation. Both mass univariate linear mixed effects models and multivariate classification via support vector machine were employed to uncover the nature of network dynamics across 8 well described intrinsic connectivity networks (ICNs). Results: Our findings suggest that a diffuse pattern of strengthened intra-network connectivity defined social threat processing. Univariate analyses exhibited a preponderance of nodes within the somatomotor network, indicating the potential for motor preparation during social threat processing. Multivariate classification exhibited more diffuse focal participation from limbic, default, visual, attentional, control and somatomotor ICNs. Conclusion: Our results suggest the role of intra- and inter-network functional organization in response to threat and carries implications for viewing various networks through dynamic perspectives.
- Open Access
- 9 October 2023
- Published by Frontiers Media SA in Frontiers in Neuroscience
- Vol. 17, 1249008
Not all bad decisions are alike: approach and avoidant bad decisions are associated with distinct network organization
Introduction: Decisions under ambiguity occurs daily for everyone. Subsequently, we all deliberate upon options to initiate an action most appropriate for current goal demands. Researchers has attempted to identify factors which contribute to risk taking, alongside the neurocircuitry underpinning it. Empirically, uncertain decision making is frequently assessed using the Iowa Gambling Task (IGT). Research have reliably identified varying regions implicating two broader circuits known as the reward and salience networks. However, considerable work has focused on contrasting “good” versus “bad” decisions.Methods: The present investigation attempted a unique approach to analyzing the modified IGT acquired during fMRI (n = 24) and focused on active and passive bad decisions to identify potential internetwork connectivity, dissociable connectivity patterns between approach and avoidant bad decisions, and their relationship with personality traits, which can be linked with behavioral approach styles.Results: Network cluster analyses revealed general internetwork connectivity when passing (avoiding) good decks; however, the OFC was functionally disconnected from the rest of the selected brain regions when playing (approaching) bad decks. Decreased reward responsiveness was linked to increased functional connectivity between the lateral OFC and aSMG, while drive was associated with increased functional connectivity between dACC and aINS.Discussion: We report evidence that approach and avoidant bad decisions are associated with distinct neural communication patterns. Avoidant decisions were marked by substantial network integration and coherence, contrasted with the general scarcity of internetwork communication observed for approach decisions. Furthermore, the present investigation observed preliminary evidence of personality traits linked with neural communication between salience and reward evaluative networks.
- 9 October 2023
- Published by Frontiers Media SA in Frontiers in Neuroscience
- Vol. 17, 1249008
Open AccessNot all bad decisions are alike: approach and avoidant bad decisions are associated with distinct network organization
Introduction: Decisions under ambiguity occurs daily for everyone. Subsequently, we all deliberate upon options to initiate an action most appropriate for current goal demands. Researchers has attempted to identify factors which contribute to risk taking, alongside the neurocircuitry underpinning it. Empirically, uncertain decision making is frequently assessed using the Iowa Gambling Task (IGT). Research have reliably identified varying regions implicating two broader circuits known as the reward and salience networks. However, considerable work has focused on contrasting “good” versus “bad” decisions.Methods: The present investigation attempted a unique approach to analyzing the modified IGT acquired during fMRI (n = 24) and focused on active and passive bad decisions to identify potential internetwork connectivity, dissociable connectivity patterns between approach and avoidant bad decisions, and their relationship with personality traits, which can be linked with behavioral approach styles.Results: Network cluster analyses revealed general internetwork connectivity when passing (avoiding) good decks; however, the OFC was functionally disconnected from the rest of the selected brain regions when playing (approaching) bad decks. Decreased reward responsiveness was linked to increased functional connectivity between the lateral OFC and aSMG, while drive was associated with increased functional connectivity between dACC and aINS.Discussion: We report evidence that approach and avoidant bad decisions are associated with distinct neural communication patterns. Avoidant decisions were marked by substantial network integration and coherence, contrasted with the general scarcity of internetwork communication observed for approach decisions. Furthermore, the present investigation observed preliminary evidence of personality traits linked with neural communication between salience and reward evaluative networks.
- 1 June 2021
- Published by Elsevier in Neuropsychologia
- Vol. 156, 107829
Gender differences in functional connectivity during emotion regulation
- 1 June 2021
- Published by Elsevier in Neuropsychologia
- Vol. 156, 107829
Gender differences in functional connectivity during emotion regulation
- 1 September 2020
- Published by Elsevier in Psychiatry Research: Neuroimaging
- Vol. 303, 111125
Neural activity in functional movement disorders after inpatient rehabilitation
- 1 September 2020
- Published by Elsevier in Psychiatry Research: Neuroimaging
- Vol. 303, 111125
Neural activity in functional movement disorders after inpatient rehabilitation
- Open Access
Shared Characteristics of Intrinsic Connectivity Networks Underlying Interoceptive Awareness and Empathy
Awareness of internal bodily sensations (interoception, IA) and its connection to complex socioemotional phenomena like empathy have been postulated, yet its neural basis remains poorly understood. The present fMRI study employs independent component analysis (ICA) to investigate whether the Cognitive or Affective facets of empathy and IA share resting state network connectivity and/or variability (SD BOLD ). Healthy participants viewed an abstract movie demonstrated to evoke strong connectivity in resting state brain networks ( InScapes ), and resultant connectivity and variability data was correlated with self-reported empathy and IA questionnaires. We demonstrate a bidirectional behavioral and neurobiological relationship between empathy and IA, depending on the type of empathy interrogated: Affective empathy and IA share both connectivity and variability, while Cognitive empathy and IA only share variability. Specifically, increased connectivity in the right inferior frontal operculum (rIFO) of a larger attention network was associated with increased vicarious experience but decreased awareness of inner body sensations. Furthermore, increased variability between brain regions of an interoceptive network was related to increased sensitivity to internal sensations along with discomfort alleviation arising from witnessing another’s distress. Finally, increased variability between brain regions subserving a mentalizing network related to not only an improved ability to take someone’s perspective, but also a better sense of mind-body interconnectedness. Overall, these findings suggest that the awareness of one’s own internal body changes (IA) is related to the ability to feel and understand another’s emotional state (empathy) and critically, that this relationship is not task-dependent, but is reflected in the brain’s resting state neuroarchitecture. Methodologically, this work highlights the importance of utilizing network variability as a complementary window alongside functional connectivity to better understand neurological phenomena. Our results may be beneficial in aiding diagnosis in clinical populations such as autism spectrum disorder, where participants may be unable to complete tasks or questionnaires due to the severity of their socioemotional symptoms.
Open AccessShared Characteristics of Intrinsic Connectivity Networks Underlying Interoceptive Awareness and Empathy
Awareness of internal bodily sensations (interoception, IA) and its connection to complex socioemotional phenomena like empathy have been postulated, yet its neural basis remains poorly understood. The present fMRI study employs independent component analysis (ICA) to investigate whether the Cognitive or Affective facets of empathy and IA share resting state network connectivity and/or variability (SD BOLD ). Healthy participants viewed an abstract movie demonstrated to evoke strong connectivity in resting state brain networks ( InScapes ), and resultant connectivity and variability data was correlated with self-reported empathy and IA questionnaires. We demonstrate a bidirectional behavioral and neurobiological relationship between empathy and IA, depending on the type of empathy interrogated: Affective empathy and IA share both connectivity and variability, while Cognitive empathy and IA only share variability. Specifically, increased connectivity in the right inferior frontal operculum (rIFO) of a larger attention network was associated with increased vicarious experience but decreased awareness of inner body sensations. Furthermore, increased variability between brain regions of an interoceptive network was related to increased sensitivity to internal sensations along with discomfort alleviation arising from witnessing another’s distress. Finally, increased variability between brain regions subserving a mentalizing network related to not only an improved ability to take someone’s perspective, but also a better sense of mind-body interconnectedness. Overall, these findings suggest that the awareness of one’s own internal body changes (IA) is related to the ability to feel and understand another’s emotional state (empathy) and critically, that this relationship is not task-dependent, but is reflected in the brain’s resting state neuroarchitecture. Methodologically, this work highlights the importance of utilizing network variability as a complementary window alongside functional connectivity to better understand neurological phenomena. Our results may be beneficial in aiding diagnosis in clinical populations such as autism spectrum disorder, where participants may be unable to complete tasks or questionnaires due to the severity of their socioemotional symptoms.
- Open Access
- 1 October 2019
- Published by Elsevier in Neuroscience & Biobehavioral Reviews
- Vol. 105, 136-177
Current understanding of fear learning and memory in humans and animal models and the value of a linguistic approach for analyzing fear learning and memory in humans
- 1 October 2019
- Published by Elsevier in Neuroscience & Biobehavioral Reviews
- Vol. 105, 136-177
Open AccessCurrent understanding of fear learning and memory in humans and animal models and the value of a linguistic approach for analyzing fear learning and memory in humans
- Open Access
- 30 September 2019
- Published by Wiley in Brain and Behavior
- Vol. 9 (12) , e01413
Cortical morphometry and structural connectivity relate to executive function and estradiol level in healthy adolescents
Introduction: Emotional and behavioral control is necessary self‐regulatory processes to maintain stable goal‐driven behavior. Studies indicate that variance in these executive function (EF) processes is related to morphological features of the brain and white matter (WM) differences. Furthermore, sex hormone level may modulate circuits in the brain important for cognitive function.Methods: We aimed to investigate the structural neural correlates of EF behavior in gray matter (GM) and WM while taking into account estradiol level, in an adolescent population. The present study obtained neuroimaging behavioral and physiological data from the National Institute of Health's Pediatric Database (NIHPD). We analyzed the relationship between cortical morphometry and structural connectivity (N = 55), using a parent‐administered behavioral monitoring instrument (Behavior Rating Inventory of Executive Function—BRIEF), estradiol level, as well as their interaction.Results: Executive function behavior and estradiol level related to bidirectional associations with cortical morphometry in the right posterior dorsolateral prefrontal cortex (pDLPFC) and primary motor cortex (PMC), as well as fractional anisotropy (FA) in the forceps major and minor. Lastly, the interaction of EF behavior and estradiol level related to decreased volume in the right PMC and was linked to altered FA in the right inferior fronto‐occipital fasciculus (iFOF).Conclusions: The study provides evidence that the relationship between EF behavior and estradiol level related to bidirectional GM and WM differences, implying estradiol level has an influence on the putative structural regions underlying EF behavior. The findings represent a crucial link between EF behavior and hormonal influence on brain structure in adolescence.
- 30 September 2019
- Published by Wiley in Brain and Behavior
- Vol. 9 (12) , e01413
Open AccessCortical morphometry and structural connectivity relate to executive function and estradiol level in healthy adolescents
Introduction: Emotional and behavioral control is necessary self‐regulatory processes to maintain stable goal‐driven behavior. Studies indicate that variance in these executive function (EF) processes is related to morphological features of the brain and white matter (WM) differences. Furthermore, sex hormone level may modulate circuits in the brain important for cognitive function.Methods: We aimed to investigate the structural neural correlates of EF behavior in gray matter (GM) and WM while taking into account estradiol level, in an adolescent population. The present study obtained neuroimaging behavioral and physiological data from the National Institute of Health's Pediatric Database (NIHPD). We analyzed the relationship between cortical morphometry and structural connectivity (N = 55), using a parent‐administered behavioral monitoring instrument (Behavior Rating Inventory of Executive Function—BRIEF), estradiol level, as well as their interaction.Results: Executive function behavior and estradiol level related to bidirectional associations with cortical morphometry in the right posterior dorsolateral prefrontal cortex (pDLPFC) and primary motor cortex (PMC), as well as fractional anisotropy (FA) in the forceps major and minor. Lastly, the interaction of EF behavior and estradiol level related to decreased volume in the right PMC and was linked to altered FA in the right inferior fronto‐occipital fasciculus (iFOF).Conclusions: The study provides evidence that the relationship between EF behavior and estradiol level related to bidirectional GM and WM differences, implying estradiol level has an influence on the putative structural regions underlying EF behavior. The findings represent a crucial link between EF behavior and hormonal influence on brain structure in adolescence.
- Open Access
- 17 July 2019
- Published by Frontiers Media SA in Frontiers in Psychiatry
- Vol. 10, 510
New Frontiers in Anxiety Research: The Translational Potential of the Bed Nucleus of the Stria Terminalis
After decades of being overshadowed by the amygdala, new perspectives suggest that a tiny basal forebrain region known as the bed nucleus of the stria terminalis (BNST) may hold key insights into understanding and treating anxiety disorders. Converging research indicates that the amygdala and BNST play complementary but distinct functional roles during threat processing, with the BNST specializing in the detection of a potential threat to maintain hypervigilance and anxiety, while the amygdala responds to the perceived presence of an aversive stimulus (i.e., fear). Therefore, given that human anxiety is largely driven by future-oriented hypothetical threats that may never occur, studies involving the BNST stand at the forefront of essential future research with the potential to bring about profound insights for understanding and treating anxiety disorders. In this article, we present a narrative review on the BNST, summarizing its roles in anxiety and the stress response and highlighting the most recent advances in the clinical realm. Furthermore, we discuss oversights in the current state of anxiety research and identify avenues for future exploration.
- 17 July 2019
- Published by Frontiers Media SA in Frontiers in Psychiatry
- Vol. 10, 510
Open AccessNew Frontiers in Anxiety Research: The Translational Potential of the Bed Nucleus of the Stria Terminalis
After decades of being overshadowed by the amygdala, new perspectives suggest that a tiny basal forebrain region known as the bed nucleus of the stria terminalis (BNST) may hold key insights into understanding and treating anxiety disorders. Converging research indicates that the amygdala and BNST play complementary but distinct functional roles during threat processing, with the BNST specializing in the detection of a potential threat to maintain hypervigilance and anxiety, while the amygdala responds to the perceived presence of an aversive stimulus (i.e., fear). Therefore, given that human anxiety is largely driven by future-oriented hypothetical threats that may never occur, studies involving the BNST stand at the forefront of essential future research with the potential to bring about profound insights for understanding and treating anxiety disorders. In this article, we present a narrative review on the BNST, summarizing its roles in anxiety and the stress response and highlighting the most recent advances in the clinical realm. Furthermore, we discuss oversights in the current state of anxiety research and identify avenues for future exploration.
- Open Access
- 19 March 2019
- Published by Frontiers Media SA in Frontiers in Human Neuroscience
- Vol. 13, 94
Convergent Neural Correlates of Empathy and Anxiety During Socioemotional Processing
Empathy is characterized by the ability to understand and share an emotional experience with another person and is closely tied to compassion and concern for others. Consequently, this increased emotional awareness and sensitivity may also be related to increased anxiety. Taken from another perspective, higher general anxiety may translate into increased concern for others, or concern for how one’s actions might affect others, and therefore may be linked to increased empathy. Furthermore, self-reflection is positively related to perspective-taking and empathic concern, while rumination is closely tied to anxiety, thus providing an additional connecting point between empathy and anxiety through enhanced internally generated thought. While previous literature suggests a relationship between empathy and anxiety, this has yet to be empirically studied using neuroimaging tools aimed at investigating the underlying neural correlates that may support these convergent responses. We therefore conducted an functional magnetic resonance imaging (fMRI) study (N = 49) in which participants viewed fearful and neutral human faces and rated how the faces made them feel, to promote introspection. Participants also completed questionnaires assessing empathy Toronto Empathy Questionnaire (TEQ), trait anxiety State Trait Anxiety Inventory (STAI), worry Penn State Worry Questionnaire (PSWQ) and rumination Ruminative Responses Scale (RRS). Behaviorally, empathy positively correlated with worry, worry and rumination positively correlated with anxiety, and significant indirect relationships were found between empathy and anxiety through worry and rumination. Using the neuroimaging face processing task as a backdrop on which the neurobiological mechanisms of empathy and anxiety may interact, regressions of questionnaires with brain activations revealed that empathy related to activation in the temporoparietal junction (TPJ), anxiety related to bilateral insula activation, and worry related to medial prefrontal cortex (mPFC) activation, while rumination showed increased engagement of all three aforementioned regions. Functional connectivity (FC) analyses showed increased communication between the left amygdala and insula related to higher empathy, worry and rumination. Finally, whole-brain analysis using median split groups from questionnaires revealed that the lower halves of anxiety, worry and rumination exhibited increased activation in top-down attentional networks. In sum, empathy, worry and rumination related to enhanced bottom-up processing, while worry, rumination and anxiety exhibited decreased top-down attentional control, suggesting an indirect relationship between empathy and anxiety through the ruminative tendencies of worry.
- 19 March 2019
- Published by Frontiers Media SA in Frontiers in Human Neuroscience
- Vol. 13, 94
Open AccessConvergent Neural Correlates of Empathy and Anxiety During Socioemotional Processing
Empathy is characterized by the ability to understand and share an emotional experience with another person and is closely tied to compassion and concern for others. Consequently, this increased emotional awareness and sensitivity may also be related to increased anxiety. Taken from another perspective, higher general anxiety may translate into increased concern for others, or concern for how one’s actions might affect others, and therefore may be linked to increased empathy. Furthermore, self-reflection is positively related to perspective-taking and empathic concern, while rumination is closely tied to anxiety, thus providing an additional connecting point between empathy and anxiety through enhanced internally generated thought. While previous literature suggests a relationship between empathy and anxiety, this has yet to be empirically studied using neuroimaging tools aimed at investigating the underlying neural correlates that may support these convergent responses. We therefore conducted an functional magnetic resonance imaging (fMRI) study (N = 49) in which participants viewed fearful and neutral human faces and rated how the faces made them feel, to promote introspection. Participants also completed questionnaires assessing empathy Toronto Empathy Questionnaire (TEQ), trait anxiety State Trait Anxiety Inventory (STAI), worry Penn State Worry Questionnaire (PSWQ) and rumination Ruminative Responses Scale (RRS). Behaviorally, empathy positively correlated with worry, worry and rumination positively correlated with anxiety, and significant indirect relationships were found between empathy and anxiety through worry and rumination. Using the neuroimaging face processing task as a backdrop on which the neurobiological mechanisms of empathy and anxiety may interact, regressions of questionnaires with brain activations revealed that empathy related to activation in the temporoparietal junction (TPJ), anxiety related to bilateral insula activation, and worry related to medial prefrontal cortex (mPFC) activation, while rumination showed increased engagement of all three aforementioned regions. Functional connectivity (FC) analyses showed increased communication between the left amygdala and insula related to higher empathy, worry and rumination. Finally, whole-brain analysis using median split groups from questionnaires revealed that the lower halves of anxiety, worry and rumination exhibited increased activation in top-down attentional networks. In sum, empathy, worry and rumination related to enhanced bottom-up processing, while worry, rumination and anxiety exhibited decreased top-down attentional control, suggesting an indirect relationship between empathy and anxiety through the ruminative tendencies of worry.