Evidence map›Paper›PMID 31062291›Full record

SynthesisCognitive, affective & behavioral neuroscience2019

The neural correlates of well-being: A systematic review of the human neuroimaging and neuropsychological literature.

Marcie L King

Abstract readSystematic Review
In one paragraph

Synthesis in Cognitive, affective & behavioral neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

1 author.

Marcie L KingDepartment of Psychological and Brain Sciences, University of Iowa, W311 Seashore Hall, Iowa City, IA, 52242, USA. Marcie-king@uiowa.edu.ORCID 0000-0001-8693-168X

Funding

Mechanisms of Health and Disease at the Behavioral-Biomedical InterfaceT32GM108540 · NIGMS · UNIVERSITY OF IOWA · PI LUTGENDORF, SUSAN K, VOSS, MICHELLE WEBB · 2014 to 2023
$1.7M
NIGMS NIH HHS T32 GM108540
6 · The paper itself

Abstract

What it means to be well and to achieve well-being is fundamental to the human condition. Scholars of many disciplines have attempted to define well-being and to investigate the behavioral and neural correlates of well-being. Despite many decades of inquiry into well-being, much remains unknown. The study of well-being has evolved over time, shifting in focus and methodology. Many recent investigations into well-being have taken a neuroscientific approach to try to bolster understanding of this complex construct. A growing body of literature has directly examined the association between well-being and the brain. The current review synthesizes the extant literature regarding the neural correlates of trait-like well-being (i.e., the propensity to live according to one's true nature). Although reported associations between well-being and the brain varied, some notable patterns were evidenced in the literature. In particular, the strongest and most consistent association emerged between well-being and the anterior cingulate cortex. In addition, patterns of association between well-being and the orbitofrontal cortex, posterior cingulate cortex, superior temporal gyrus, and thalamus emerged. These regions largely comprise the salience and default mode networks, suggesting a possible relationship between well-being and brain networks involved in the integration of relevant and significant stimuli. Various methodological concerns are addressed and recommendations for future research are discussed.

Indexed as

Personal SatisfactionGyrus CinguliHumansNerve NetPrefrontal CortexTemporal LobeThalamusNeural correlatesNeuroimagingWell-being

Identifiers

PMID31062291
PMCPMC6713599

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.