Evidence map›Paper›PMID 31474842›Full record

ArticleFrontiers in behavioral neuroscience2019

Encoding Pleasant and Unpleasant Expression of the Architectural Window Shapes: An ERP Study.

Parastou Naghibi Rad, Abbas Ali Shahroudi, Hamed Shabani, Sahar Ajami, Reza Lashgari

Abstract read
In one paragraph

Article in Frontiers in behavioral neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Neuroarchitecture Assessment: An Overview and Bibliometric Analysis.European journal of investigation in health, psychology and education · 2021
    Review
  3. 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

5 authors.

Parastou Naghibi RadBrain Engineering Research Center, School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
Abbas Ali ShahroudiFaculty of Art and Architecture, University of Mazandaran, Babolsar, Iran.
Hamed ShabaniBrain Engineering Research Center, School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
Sahar AjamiFaculty of Art and Architecture, University of Mazandaran, Babolsar, Iran.
Reza LashgariBrain Engineering Research Center, School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of building facades is one of the most important elements in built environments for helping architects and professionals to develop future designs. The form or shape of windows in building facades has direct impacts on perceivers' affective state and emotions. To understand the impacts of geometric windows on the subject's feedback and cortical activity, psychophysics experiments and electroencephalogram (EEG) recordings were measured from the participants. Our behavioral results show a distinguished categorization of the window shapes as pleasant and unpleasant stimuli. The rectangular, square, circular and semi-circular arch were determined as the pleasant window shapes, while the triangular and triangular arch window shapes were distinguished as unpleasant. Furthermore, event-related potential (ERP) components (N1, P2 and P3) were investigated to determine the influence of window shapes on the local brain activity. To measure reliable cortical responses, a Butterworth notch filter (50 Hz), band pass filter (0.1-60 Hz) and ADJUST filter were employed to remove the artifacts. The electrophysiological results show increased activity for the unpleasant in comparison to the pleasant windows (

Indexed as

building facadescortical activityEEG signalsERPpleasant and unpleasant expressionwindow shapes

Identifiers

PMID31474842
PMCPMC6707382

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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.