High-Resolution Resting-State Functional Connectivity of the Extended Amygdala

Weis, Carissa; Huggins, Ashley A.; Bennett, Kenneth P.; Parisi, Elizabeth; Larson, Christine L.

doi:10.1089/brain.2019.0688

Cited by 23 publications

(23 citation statements)

References 62 publications

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“…Overall, there is an overlap of these regions with the regions reported by Picó-Pérez et al ( 2018 ), albeit not in the same direction. Similar connectivity maps have been reported by others (Roy et al, 2009 ; Weis et al, 2019 and Tetereva et al, 2020 ). We, therefore, assume that our resting state measurement has been successful in principle.…”

Section: Discussionsupporting

confidence: 90%

Resting State Cortico-Limbic Functional Connectivity and Dispositional Use of Emotion Regulation Strategies: A Replication and Extension Study

Dörfel

Gärtner

Scheffel

2020

Front. Behav. Neurosci.

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Neuroimaging functional connectivity analyses have shown that the negative coupling between the amygdala and cortical regions is linked to better emotion regulation (ER) in experimental task settings. However, less is known about the neural correlates of ER traits or dispositions. The present study aimed to: (1) replicate the findings of differential cortico-limbic coupling during resting-state depending on the dispositional use of emotion regulation strategies. Furthermore, the study aimed to: (2) extend prior findings by examining whether differences in cortico-limbic coupling during resting-state predict experiential and neuronal ER success in a standard ER task. To this end, N = 107 healthy adults completed the Emotion Regulation Questionnaire (ERQ), underwent an 8-min resting-state fMRI acquisition, and completed a reappraisal task during fMRI. Functional connectivity maps of basolateral and centromedial amygdala nuclei were estimated with a seed-based approach regarding associations with regions of the prefrontal cortex and were then correlated with ERQ scores as well as experiential and neuronal ER success. All hypotheses and the analysis plan are preregistered at https://osf.io/8wsgu. Opposed to prior findings, we were not able to replicate a correlation of dispositional ER strategy use with functional connectivity between the amygdala and PFC regions (p > 0.05, FWE-corrected). Furthermore, there was no association of experiential and neuronal reappraisal success with functional connectivity between amygdala and insula as well as PFC (p > 0.05, FWE-corrected). The present preregistered study calls into question the reported association between individual differences in resting-state cortico-limbic connectivity and dispositional use of ER strategies. However, ongoing advances in functional brain imaging and distributed network approaches may leverage the identification of reliable functional connectivity patterns that underlie successful emotion regulation.

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Section: Discussionsupporting

confidence: 90%

Resting State Cortico-Limbic Functional Connectivity and Dispositional Use of Emotion Regulation Strategies: A Replication and Extension Study

Dörfel

Gärtner

Scheffel

2020

Front. Behav. Neurosci.

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show abstract

“…Overall, there is an overlap of these regions with the regions reported by Picó-Pérez et al (2018), albeit not in the same direction. Similar connectivity maps have been reported by others Roy et al (2009); (Tetereva et al, 2020;Weis, Huggins, Bennett, Parisi, & Larson, 2019). We therefore assume that our resting state measurement has been successful in principle.…”

Section: Discussionsupporting

confidence: 86%

Resting state cortico-limbic functional connectivity and dispositional use of emotion regulation strategies: A replication and extension study

Dörfel¹,

Gärtner²,

Scheffel³

2020

Preprint

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Neuroimaging functional connectivity analyses have shown that the negative coupling between amygdala and cortical regions is linked to better emotion regulation (ER) in experimental task settings. However, less is known about the neural correlates of ER traits or dispositions. The present study aimed to (1) replicate the findings of differential cortico-limbic coupling during resting state depending on the dispositional use of ER strategies. Furthermore, the study aimed to (2) extend prior findings by examining whether differences in cortico-limbic coupling during resting state predict behavioral and neuronal emotion regulation success in a standard emotion regulation task. To this end, N=107 healthy adults completed the Emotion Regulation Questionnaire (ERQ), underwent an 8-min resting-state fMRI acquisition and completed a reappraisal task during fMRI. Functional connectivity maps of basolateral and centromedial amygdala nuclei were estimated with a seed-based approach regarding associations with regions of the prefrontal cortex, and were then correlated with ERQ scores as well as behavioral and neuronal ER success. All hypotheses and the analysis plan are preregistered at https://osf.io/8wsgu. Opposed to prior findings, we were not able to replicate a correlation of habitual ER strategy use with functional connectivity between amygdala and PFC regions (p > 0.05, FWE-corrected). Furthermore, there was no association of behavioral and neuronal reappraisal success with functional connectivity between amygdala and insula as well as PFC (p > 0.05, FWE-corrected). The present preregistered study calls into question the reported association between individual differences in resting state cortico-limbic connectivity and habitual use of ER strategies. However, ongoing advances in functional brain imaging and distributed network approaches may leverage the identification of reliable functional connectivity patterns that underlie successful emotion regulation.

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“…Evidence from FC studies seems to substantiate this assumption partially. That is, the BNST was found to be functionally connected to regions involved in the Default Mode Network, while the CM and LB do not entirely share the same connectivity structure, despite certain overlaps (Gorka et al, 2018; Tillman et al, 2018; Torrisi et al, 2015; Weis et al, 2019). However, as has been pointed out, a direct comparison of EC and FC is not easily possible.…”

Section: Discussionmentioning

confidence: 99%

“…However, this type of study did not enable insights into the specific connectivity patterns and dynamical interactions between these regions. While studies exist that assessed the connectivity of amygdala (Di, Huang, & Biswal, 2016) and BNST (Brinkmann et al, 2017; Herrmann et al, 2016) with other brain regions during experimental manipulations as well as during the resting‐state (Gorka, Torrisi, Shackman, Grillon, & Ernst, 2018; Kerestes, Chase, Phillips, Ladouceur, & Eickhoff, 2017; Rabellino et al, 2018; Roy et al, 2009; Tillman et al, 2018; Torrisi et al, 2015; Weis, Huggins, Bennett, Parisi, & Larson, 2019), these studies were based on symmetrical measures of statistical dependencies, that is, functional connectivity (FC). Although the results of these studies point towards a positive interconnectedness between BNST and amygdala nuclei, the calculation of FC does not enable inference about the true, that is, effective connectivity (EC) between regions and their dynamical interactions (Friston, 2011).…”

Section: Introductionmentioning

confidence: 99%

Effective connectivity between bed nucleus of the stria terminalis and amygdala: Reproducibility and relation to anxiety

Hofmann

Straube

2020

Human Brain Mapping

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In a previous study, we investigated the resting‐state fMRI effective connectivity (EC) between the bed nucleus of the stria terminalis (BNST) and the laterobasal (LB), centromedial (CM), and superficial (SF) amygdala. We found strong negative EC from all amygdala nuclei to the BNST, while the BNST showed positive EC to the amygdala. However, the validity of these findings remains unclear, since a reproduction in different samples has not been done. Moreover, the association of EC with measures of anxiety offers deeper insight, due to the known role of the BNST and amygdala in fear and anxiety. Here, we aimed to reproduce our previous results in three additional samples. We used spectral Dynamic Causal Modeling to estimate the EC between the BNST, the LB, CM, and SF, and its association with two measures of self‐reported anxiety. Our results revealed consistency over samples with regard to the negative EC from the amygdala nuclei to the BNST, while the positive EC from BNST to the amygdala was also found, but weaker and more heterogenic. Moreover, we found the BNST‐BNST EC showing a positive and the CM‐BNST EC, showing a negative association with anxiety. Our study suggests a reproducible pattern of negative EC from the amygdala to the BNST along with weaker positive EC from the BNST to the amygdala. Moreover, less BNST self‐inhibition and more inhibitory influence from the CM to the BNST seems to be a pattern of EC that is related to higher anxiety.

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High-Resolution Resting-State Functional Connectivity of the Extended Amygdala

Cited by 23 publications

References 62 publications

Resting State Cortico-Limbic Functional Connectivity and Dispositional Use of Emotion Regulation Strategies: A Replication and Extension Study

Resting State Cortico-Limbic Functional Connectivity and Dispositional Use of Emotion Regulation Strategies: A Replication and Extension Study

Resting state cortico-limbic functional connectivity and dispositional use of emotion regulation strategies: A replication and extension study

Effective connectivity between bed nucleus of the stria terminalis and amygdala: Reproducibility and relation to anxiety

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