Evidence map›Paper›PMID 34902442›Full record

ReviewNeuroscience and biobehavioral reviews2022

Temporal dynamics of affect in the brain: Evidence from human imaging and animal models.

Nikki A Puccetti, William J Villano, Jonathan P Fadok, Aaron S Heller

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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  6. Review
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

4 authors.

Nikki A PuccettiDepartment of Psychology, University of Miami, Coral Gables, FL, 33146, USA.
William J VillanoDepartment of Psychology, University of Miami, Coral Gables, FL, 33146, USA.
Jonathan P FadokDepartment of Psychology and Tulane Brain Institute, Tulane University, New Orleans, LA, 70118, USA.
Aaron S HellerDepartment of Psychology, University of Miami, Coral Gables, FL, 33146, USA. Electronic address: aheller@miami.edu.

Funding

Neural circuits regulating flight and panic behavior.R01MH122561 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI FADOK, JONATHAN P · 2020 to 2024
$2.4M
Using Real-World, Personally Meaningful Events to build Computational Models of EmotionR21MH125311 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI HELLER, AARON S · 2021 to 2022
$414k
NIMH NIH HHS R01 MH122561NIMH NIH HHS R21 MH125311
6 · The paper itself

Abstract

Emotions are time-varying internal states that promote survival in the face of dynamic environments and shifting homeostatic needs. Research in non-human organisms has recently afforded specific insights into the neural mechanisms that support the emergence, persistence, and decay of affective states. Concurrently, a separate affective neuroscience literature has begun to dissect the neural bases of affective dynamics in humans. However, the circuit-level mechanisms identified in animals lack a clear mapping to the human neuroscience literature. As a result, critical questions pertaining to the neural bases of affective dynamics in humans remain unanswered. To address these shortcomings, the present review integrates findings from humans and non-human organisms to highlight the neural mechanisms that govern the temporal features of emotional states. Using the theory of affective chronometry as an organizing framework, we describe the specific neural mechanisms and modulatory factors that arbitrate the rise-time, intensity, and duration of emotional states.

Indexed as

BrainNeurosciencesAffectAnimalsBrain MappingEmotionsHumansMagnetic Resonance ImagingModels, AnimalAffective chronometryAffective dynamicsEmotionNeural mechanismsNeurobiologyNeuroimaging

Identifiers

PMID34902442
PMCPMC8792368

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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.