2018
DOI: 10.1038/s41598-018-34987-3
|View full text |Cite
|
Sign up to set email alerts
|

Acute alcohol administration dampens central extended amygdala reactivity

Abstract: Alcohol use is common, imposes a staggering burden on public health, and often resists treatment. The central extended amygdala (EAc)—including the bed nucleus of the stria terminalis (BST) and the central nucleus of the amygdala (Ce)—plays a key role in prominent neuroscientific models of alcohol drinking, but the relevance of these regions to acute alcohol consumption in humans remains poorly understood. Using a single-blind, randomized-groups design, multiband fMRI data were acquired from 49 social drinkers… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
26
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1
1

Relationship

4
4

Authors

Journals

citations
Cited by 25 publications
(26 citation statements)
references
References 92 publications
0
26
0
Order By: Relevance
“…Across a range of comparisons, the BST and dorsal amygdala evinced statistically equivalent responses during the anticipation of certain and uncertain threat, reinforcing the possibility that they make similar contributions to human anxiety. These observations provide a novel framework for conceptualizing fear and anxiety, and for guiding the development of mechanistic work in humans and animals aimed at developing more effective intervention strategies for extreme anxiety (12, 92, 93). A relatively large sample, well-controlled task, and advanced techniques for fMRI data acquisition and processing enhance confidence in the robustness and translational relevance of these results.…”
Section: Discussionmentioning
confidence: 99%
“…Across a range of comparisons, the BST and dorsal amygdala evinced statistically equivalent responses during the anticipation of certain and uncertain threat, reinforcing the possibility that they make similar contributions to human anxiety. These observations provide a novel framework for conceptualizing fear and anxiety, and for guiding the development of mechanistic work in humans and animals aimed at developing more effective intervention strategies for extreme anxiety (12, 92, 93). A relatively large sample, well-controlled task, and advanced techniques for fMRI data acquisition and processing enhance confidence in the robustness and translational relevance of these results.…”
Section: Discussionmentioning
confidence: 99%
“…Is attenuated by clinically effective cognitive-behavioral and pharmacological (e.g., benzodiazepine) treatments for anxiety and depression in adults (Månsson et al, 2016; Shackman et al, 2016a). More recent work shows that amygdala reactivity is also dampened by low to moderate doses of ethyl alcohol (Hur et al, 2018), a well-established anxiolytic that, like the benzodiazepines, enhances inhibitory neurotransmission in the Ce (Bartholow, Henry, Lust, Saults, & Wood, 2012; Kaye, Bradford, Magruder, & Curtin, 2017; Sharko, Kaigler, Fadel, & Wilson, 2016). These observations suggest that the amygdala causally contributes to pathological anxiety in humans, consistent with the mechanistic work reviewed in the prior section.…”
Section: The Nature Consequences and Neurobiology Of Dispositional mentioning
confidence: 99%
“…Although investigators need to be cautious when assigning specific labels (e.g., Ce) to activation clusters in imaging studies, we encourage them to describe the relative position of activation peaks (e.g., dorsal-posterior amygdala) and interpret their results on the basis of the most likely sub-component of the amygdala (e.g., ‘in the region of the Ce’). The use of high-field MRI or specialized analytic approaches (e.g., spatially unsmoothed data) may also prove useful (Fox & Shackman, 2019; Hur et al, 2018; Tillman et al, 2018).…”
Section: Future Challengesmentioning
confidence: 99%
“…Anatomical Data Processing.-Methods are similar to those described in recent reports by our group (Hur, et al, 2018;Smith, Monterosso, Wakslak, Bechara, & Read, 2018;Tillman, et al, 2018) and others (Meyer, Padmala, & Pessoa, 2017;Najafi, Kinnison, & Pessoa, 2017) and are only briefly summarized here. T1-weighted images were inhomogeneity-corrected using N4 (Tustison, et al, 2014), brain-extracted, and spatially normalized to the 1-mm MNI152 template using the high-precision diffeomorphic approach implemented in ANTS (Avants, Epstein, Grossman, & Gee, 2008;Avants, et al, 2011;Avants, et al, 2010;Iglesias, Liu, Thompson, & Tu, 2011).…”
Section: Mri Data Processingmentioning
confidence: 99%