Evidence map›Paper›PMID 32587543›Full record

ArticleFrontiers in psychology2020

Natural Categorization: Electrophysiological Responses to Viewing Natural Versus Built Environments.

Salif Mahamane, Nick Wan, Alexis Porter, Allison S Hancock, Justin Campbell, Thomas E Lyon, Kerry E Jordan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Does socioeconomic position and gender affect human-nature interactions?Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2022
    Article
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

7 authors.

Salif MahamaneDepartment of Behavioral & Social Sciences, Western Colorado University, Gunnison, CO, United States.
Nick WanDepartment of Psychology, Utah State University, Logan, UT, United States.
Alexis PorterDepartment of Psychology, Northwestern University, Evanston, IL, United States.
Allison S HancockDepartment of Psychology, Utah State University, Logan, UT, United States.
Justin CampbellMD-PhD Program, School of Medicine, The University of Utah, Salt Lake City, UT, United States.
Thomas E LyonDepartment of Psychology, Utah State University, Logan, UT, United States.
Kerry E JordanDepartment of Psychology, Utah State University, Logan, UT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environments are unique in terms of structural composition and evoked human experience. Previous studies suggest that natural compared to built environments may increase positive emotions. Humans in natural environments also demonstrate greater performance on attention-based tasks. Few studies have investigated cortical mechanisms underlying these phenomena or probed these differences from a neural perspective. Using a temporally sensitive electrophysiological approach, we employ an event-related, implicit passive viewing task to demonstrate that in humans, a greater late positive potential (LPP) occurs with exposure to built than natural environments, resulting in a faster return of activation to pre-stimulus baseline levels when viewing natural environments. Our research thus provides new evidence suggesting natural environments are perceived differently from built environments, converging with previous behavioral findings and theoretical assumptions from environmental psychology.

Indexed as

electrophysiologyenvironmentERPimplicit categorizationLPPnatural

Identifiers

PMID32587543
PMCPMC7298107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.