Literature DB >> 26990572

Environmental layout complexity affects neural activity during navigation in humans.

Edward Slone1, Ford Burles1, Giuseppe Iaria1.   

Abstract

Navigating large-scale surroundings is a fundamental ability. In humans, it is commonly assumed that navigational performance is affected by individual differences, such as age, sex, and cognitive strategies adopted for orientation. We recently showed that the layout of the environment itself also influences how well people are able to find their way within it, yet it remains unclear whether differences in environmental complexity are associated with changes in brain activity during navigation. We used functional magnetic resonance imaging to investigate how the brain responds to a change in environmental complexity by asking participants to perform a navigation task in two large-scale virtual environments that differed solely in interconnection density, a measure of complexity defined as the average number of directional choices at decision points. The results showed that navigation in the simpler, less interconnected environment was faster and more accurate relative to the complex environment, and such performance was associated with increased activity in a number of brain areas (i.e. precuneus, retrosplenial cortex, and hippocampus) known to be involved in mental imagery, navigation, and memory. These findings provide novel evidence that environmental complexity not only affects navigational behaviour, but also modulates activity in brain regions that are important for successful orientation and navigation.
© 2016 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  environmental neuroscience; functional magnetic resonance imaging; navigation; spatial memory; virtual environments

Mesh:

Year:  2016        PMID: 26990572     DOI: 10.1111/ejn.13218

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  4 in total

1.  Hippocampal and prefrontal processing of network topology to simulate the future.

Authors:  Amir-Homayoun Javadi; Beatrix Emo; Lorelei R Howard; Fiona E Zisch; Yichao Yu; Rebecca Knight; Joao Pinelo Silva; Hugo J Spiers
Journal:  Nat Commun       Date:  2017-03-21       Impact factor: 14.919

2.  Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning.

Authors:  Angelica Quercia; Filippo Zappasodi; Giorgia Committeri; Michele Ferrara
Journal:  Front Hum Neurosci       Date:  2018-04-03       Impact factor: 3.169

3.  Feedback and Direction Sources Influence Navigation Decision Making on Experienced Routes.

Authors:  Yu Li; Weijia Li; Yingying Yang; Qi Wang
Journal:  Front Psychol       Date:  2019-09-13

Review 4.  Complexity As Key to Designing Cognitive-Friendly Environments for Older People.

Authors:  Marica Cassarino; Annalisa Setti
Journal:  Front Psychol       Date:  2016-08-30
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.