Integrating Region- and Network-level Contributions to Episodic Recollection Using Multilevel Structural Equation Modeling

Kurkela, Kyle A.; Cooper, Rose A.; Ryu, Ehri; Ritchey, Maureen

doi:10.1162/jocn_a_01904

Cited by 4 publications

(4 citation statements)

References 79 publications

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“…DMN-A regions included the bilateral posterior cingulate cortex, the bilateral precuneus, the bilateral medial prefrontal cortex, the bilateral anterior angular gyrus, and a bilateral section of the dorsal prefrontal cortex (see Figure 1a, yellow regions). We focused on regions in the DMN-C and DMN-A networks due to their roles in episodic memory and simulation (Buckner & DiNicola, 2019; Ritchey & Cooper, 2020) and their correspondence with ventral and dorsal subnetworks we have previously identified (Cooper et al, 2021; Kurkela et al, 2022). We note that these were inadvertently mislabeled in our pre-registration.…”

Section: Methodsmentioning

confidence: 99%

“…The DMN-C subnetwork is commonly co-activated with an adjacent, more dorsal DMN subnetwork, labeled DMN-A, which consists of medial frontal and parietal regions. Recent work has shown that these two subnetworks are dissociable in terms of their functional connectivity during event perception (Cooper et al, 2021) as well as their contributions to memory retrieval (Kurkela et al, 2022). In the latter study, when activity estimates from both ventral and dorsal DMN regions were included in a model predicting retrieval success, only the ventral regions significantly predicted success in retrieving event-specific associations.…”

Section: Introductionmentioning

confidence: 99%

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Intrinsic functional connectivity among memory networks does not predict individual differences in narrative recall

Kurkela,

Ritchey

2023

Preprint

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Individuals differ greatly in their ability to remember the details of past events, yet little is known about the brain processes that explain such individual differences in a healthy young population. Previous research suggests that episodic memory relies on functional communication among ventral regions of the default mode network (“DMN-C”) that are strongly interconnected with the medial temporal lobes. In this study, we investigated whether the intrinsic functional connectivity of the DMN-C subnetwork is related to individual differences in memory ability, examining this relationship across 243 individuals (ages 18-50 years) from the openly available Cambridge Center for Aging and Neuroscience (Cam-CAN) dataset. We first estimated each participant’s whole-brain intrinsic functional brain connectivity by combining data from resting-state, movie-watching, and sensorimotor task scans to increase statistical power. We then examined whether intrinsic functional connectivity predicted episodic memory ability, operationalized as performance on a narrative recall task. We found no evidence that functional connectivity of the DMN-C, with itself, with other related DMN subnetworks, or with the rest of the brain, was related to memory ability. Exploratory connectome-based predictive modeling (CBPM) analyses of the entire connectome revealed a whole-brain multivariate pattern that predicted memory ability, although these changes were largely outside of known memory networks. These results add to emerging evidence suggesting that individual differences in memory cannot be easily explained by brain differences in areas typically associated with episodic memory function.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intrinsic functional connectivity among memory networks does not predict individual differences in narrative recall

Kurkela,

Ritchey

2023

Preprint

Self Cite

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“…There are many benefits of creating a latent variable to measure brain function, including improvements in reliability (Cooper et al, 2019;Kim-Spoon et al, 2021), though this approach may sacrifice specificity that comes with testing individual ROIs in separate models. Latent variable approaches have been used to model brain structure and function in prior work (e.g., Baskin-Sommers et al, 2016;Bolt et al, 2018;Kim-Spoon et al, 2021;Kurkela et al, 2022;Lahey et al, 2012). At baseline and PATHWAYS TO ADOLESCENT SOCIAL ANXIETY 10 two years later (Wave 2), social anxiety symptoms were assessed by clinical interviewers and youth self-reported on their symptoms of generalized anxiety and depression.…”

Section: Pathways To Adolescent Social Anxietymentioning

confidence: 99%

Pathways to adolescent social anxiety: Testing interactions between neural social reward function and perceived social threat in daily life

Sequeira,

Silk,

Jones

et al. 2024

Preprint

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Recent theories suggest that for youth highly sensitive to incentives, perceiving more social threat may contribute to social anxiety (SA) symptoms. In 129 girls (ages 11-13) oversampled for shy/fearful temperament, we thus examined how interactions between neural responses to social reward (vs. neutral) cues (measured during anticipation of peer feedback) and perceived social threat in daily peer interactions (measured using ecological momentary assessment) predict SA symptoms two years later. No significant interactions emerged when neural reward function was modeled as a latent factor. Secondary analyses showed that higher perceived social threat was associated with more severe SA symptoms two years later only for girls with higher basolateral amygdala (BLA) activation to social reward cues at baseline. Interaction effects were specific to BLA activation to social reward (not threat) cues, though a main effect of BLA activation to social threat (vs. neutral) cues on SA emerged. Unexpectedly, interactions between social threat and BLA activation to social reward cues also predicted generalized anxiety and depression symptoms two years later, suggesting possible transdiagnostic risk pathways. Perceiving high social threat may be particularly detrimental for youth highly sensitive to reward incentives, potentially due to mediating reward learning processes, though this remains to be tested.

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“…Our primary analytic approach was to apply factor analysis to identify potential latent factors associated with social reward neural function. Latent variable approaches have been used to model brain structure and function in prior work (e.g., Baskin-Sommers et al, 2016;Bolt et al, 2018;Kim-Spoon et al, 2021;Kurkela et al, 2022;Lahey et al, 2012). There are many benefits of creating a latent factor to measure brain function, including improvements in reliability (Cooper et al, 2019;Kim-Spoon et al, 2021), though this approach may sacrifice specificity that comes with testing individual ROIs in separate models.…”

mentioning

confidence: 99%

Pathways to adolescent social anxiety: Testing interactions between neural social reward function and perceived social threat in daily life

Sequeira,

Silk,

Jones

et al. 2024

Dev Psychopathol

View full text Add to dashboard Cite

Recent theories suggest that for youth highly sensitive to incentives, perceiving more social threat may contribute to social anxiety (SA) symptoms. In 129 girls (ages 11–13) oversampled for shy/fearful temperament, we thus examined how interactions between neural responses to social reward (vs. neutral) cues (measured during anticipation of peer feedback) and perceived social threat in daily peer interactions (measured using ecological momentary assessment) predict SA symptoms two years later. No significant interactions emerged when neural reward function was modeled as a latent factor. Secondary analyses showed that higher perceived social threat was associated with more severe SA symptoms two years later only for girls with higher basolateral amygdala (BLA) activation to social reward cues at baseline. Interaction effects were specific to BLA activation to social reward (not threat) cues, though a main effect of BLA activation to social threat (vs. neutral) cues on SA emerged. Unexpectedly, interactions between social threat and BLA activation to social reward cues also predicted generalized anxiety and depression symptoms two years later, suggesting possible transdiagnostic risk pathways. Perceiving high social threat may be particularly detrimental for youth highly sensitive to reward incentives, potentially due to mediating reward learning processes, though this remains to be tested.

show abstract

Integrating Region- and Network-level Contributions to Episodic Recollection Using Multilevel Structural Equation Modeling

Cited by 4 publications

References 79 publications

Intrinsic functional connectivity among memory networks does not predict individual differences in narrative recall

Intrinsic functional connectivity among memory networks does not predict individual differences in narrative recall

Pathways to adolescent social anxiety: Testing interactions between neural social reward function and perceived social threat in daily life

Pathways to adolescent social anxiety: Testing interactions between neural social reward function and perceived social threat in daily life

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