Evidence map›Paper›PMID 31754002›Full record

ArticleScience (New York, N.Y.)2019

A cortical-brainstem circuit predicts and governs compulsive alcohol drinking.

Cody A Siciliano, Habiba Noamany, Chia-Jung Chang, Alex R Brown, Xinhong Chen, Daniel Leible, Jennifer J Lee, Joyce Wang, Amanda N Vernon, Caitlin M Vander Weele and 3 more

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 1 pooled it
12.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

130 citing papers in PubMed, 1 synthesis or guideline pooled it, 209 citations in OpenAlex.

  1. Pooled it
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  9. Alcohol Cues Invigorate Aversion-Resistant Alcohol Drinking.bioRxiv : the preprint server for biology · 2026
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70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Cody A SicilianoThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. tye@salk.edu cody.siciliano@vanderbilt.edu.ORCID 0000-0001-9871-2089
Habiba NoamanyThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-9817-4353
Chia-Jung ChangThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Alex R BrownThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-8585-5953
Xinhong ChenThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0003-0408-0813
Daniel LeibleThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jennifer J LeeThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Joyce WangThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-9391-6082
Amanda N VernonThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0003-4336-2135
Caitlin M Vander WeeleThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Eyal Y KimchiThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0003-4327-1102
Myriam HeimanThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Kay M TyeThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. tye@salk.edu cody.siciliano@vanderbilt.edu.ORCID 0000-0002-2435-0182
Massachusetts Institute of Technology · USVanderbilt University · USSalk Institute for Biological Studies · US

Funding

Neural Circuit Mechanisms of Social Homeostasis in Individuals and Supraorganismal Social GroupsDP1AT009925 · NCCIH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI TYE, KAY MAXINE · 2017 to 2021
$6.4M
A Novel Strategy for Combating Obesity: Reprogramming Neural CircuitsDP2DK102256 · NIDDK · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI TYE, KAY MAXINE · 2013 to 2018
$2.7M
Dissecting the Neural Circuits Encoding Positive and Negative ValenceR01MH102441 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TYE, KAY MAXINE · 2014 to 2018
$2.0M
Determining optimal parameters for dynamic cholinergic modulation of associative learningK08MH116135 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KIMCHI, EYAL YAACOV · 2018 to 2021
$783k
Defining the role of cortical circuit dynamics in learning and addictionK99DA045103 · NIDA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SICILIANO, CODY · 2018 to 2019
$366k
Elucidating the role of basolateral amygdala projections to the lateral hypothalamus in associative learningF32MH111216 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SICILIANO, CODY · 2016 to 2017
$103k
NCCIH NIH HHS DP1 AT009925NIDA NIH HHS K99 DA045103NIDDK NIH HHS DP2 DK102256NIMH NIH HHS F32 MH111216NIMH NIH HHS K08 MH116135NIMH NIH HHS R01 MH102441
6 · The paper itself

Abstract

What individual differences in neural activity predict the future escalation of alcohol drinking from casual to compulsive? The neurobiological mechanisms that gate the transition from moderate to compulsive drinking remain poorly understood. We longitudinally tracked the development of compulsive drinking across a binge-drinking experience in male mice. Binge drinking unmasked individual differences, revealing latent traits in alcohol consumption and compulsive drinking despite equal prior exposure to alcohol. Distinct neural activity signatures of cortical neurons projecting to the brainstem before binge drinking predicted the ultimate emergence of compulsivity. Mimicry of activity patterns that predicted drinking phenotypes was sufficient to bidirectionally modulate drinking. Our results provide a mechanistic explanation for individual variance in vulnerability to compulsive alcohol drinking.

Indexed as

Alcohol DrinkingBinge DrinkingCompulsive BehaviorAnimalsBrain StemMaleMiceMice, Inbred C57BLNeural PathwaysNeuronsPeriaqueductal GrayPrefrontal CortexQuinineQuinine

Identifiers

PMID31754002
PMCPMC6989100
OpenAlexW2989731603

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.