Evidence map›Paper›PMID 36522481›Full record

ArticlePsychopharmacology2023

Thalamus sends information about arousal but not valence to the amygdala.

Chris A Leppla, Laurel R Keyes, Gordon Glober, Gillian A Matthews, Kanha Batra, Maya Jay, Yu Feng, Hannah S Chen, Fergil Mills, Jeremy Delahanty and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Psychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 2 institutions in 1 country.

Chris A Leppla *The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Laurel R Keyes *Howard Hughes Medical Institute, The Salk Institute, La Jolla, CA, 92037, USA.
Gordon GloberThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Gillian A MatthewsThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Kanha BatraSNL-KT, Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA, 92037, USA.
Maya JayThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Yu FengThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Hannah S ChenThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Fergil MillsThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Jeremy DelahantyHoward Hughes Medical Institute, The Salk Institute, La Jolla, CA, 92037, USA.
Jacob M OlsonThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Edward H NiehThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Praneeth NamburiThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Craig WildesThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Romy WichmannThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Anna BeyelerThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Eyal Y KimchiThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA.
Kay M TyeThe Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA, 02139, USA. tye@salk.edu.ORCID http://orcid.org/0000-0002-2435-0182
Massachusetts Institute of Technology · 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
Solving the Valence Assignment ProblemR37MH102441 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Kay Maxine Tye · 2021 to 2026
$5.6M
Exploring neural circuit mechanisms of social contact and social isolationR01MH115920 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI TYE, KAY MAXINE · 2018 to 2022
$2.4M
Determining optimal parameters for dynamic cholinergic modulation of associative learningK08MH116135 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KIMCHI, EYAL YAACOV · 2018 to 2021
$783k
NCCIH NIH HHS DP1 AT009925NIMH NIH HHS K08 MH116135NIMH NIH HHS R01 MH115920NIMH NIH HHS R37 MH102441NIMH NIH HHS R37-MH102441
6 · The paper itself

Abstract

rationaleThe basolateral amygdala (BLA) and medial geniculate nucleus of the thalamus (MGN) have both been shown to be necessary for the formation of associative learning. While the role that the BLA plays in this process has long been emphasized, the MGN has been less well-studied and surrounded by debate regarding whether the relay of sensory information is active or passive.

objectivesWe seek to understand the role the MGN has within the thalamoamgydala circuit in the formation of associative learning.

methodsHere, we use optogenetics and in vivo electrophysiological recordings to dissect the MGN-BLA circuit and explore the specific subpopulations for evidence of learning and synthesis of information that could impact downstream BLA encoding. We employ various machine learning techniques to investigate function within neural subpopulations. We introduce a novel method to investigate tonic changes across trial-by-trial structure, which offers an alternative approach to traditional trial-averaging techniques.

resultsWe find that the MGN appears to encode arousal but not valence, unlike the BLA which encodes for both. We find that the MGN and the BLA appear to react differently to expected and unexpected outcomes; the BLA biased responses toward reward prediction error and the MGN focused on anticipated punishment. We uncover evidence of tonic changes by visualizing changes across trials during inter-trial intervals (baseline epochs) for a subset of cells.

conclusionWe conclude that the MGN-BLA projector population acts as both filter and transferer of information by relaying information about the salience of cues to the amygdala, but these signals are not valence-specified.

Indexed as

AmygdalaBasolateral Nuclear ComplexArousalConditioning, ClassicalThalamusAssociative learningAuditory thalamic relayBasolateral amygdalaHierarchical clusteringMedial geniculate nucleusMouse modelNeural trajectory analysisValence

Identifiers

PMID36522481
PMCPMC9928937
OpenAlexW4311599675

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.