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Conscious by Default: The Role of the Default Mode Network in Internal Awareness
University of Skövde, School of Bioscience.
2019 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

Abstract

In the 1990s researchers discovered task-deactivated regions in the human brain. Together, these areas make up the default mode network (DMN). It was originally proposed to act as a balancing mechanism between different brain systems, explaining the deactivations, but is now mostly studied with regards to internal awareness, such as daydreaming and mental imagery. The purpose of this thesis is to present a summary of DMN research, focusing on the network’s suggested role in internal awareness. This will be done by reviewing a wide variety of research that either explicitly or indirectly correlate default mode network features with aspects of consciousness and internal awareness. The subjective experience of being conscious have been a source of argument primarily among philosophers, but the qualities we feel are intimately linked to cognitive functions that are supported by the regions found in the DMN. Cognitive neuroscience may therefore be able to contribute to the concept of internal awareness and consciousness.

Place, publisher, year, edition, pages
2019. , p. 58
Keywords [en]
default mode network, internal awareness, consciousness, posterior cingulate cortex, disorders of consciousness
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:his:diva-17860OAI: oai:DiVA.org:his-17860DiVA, id: diva2:1368601
Subject / course
Cognitive Neuroscience
Educational program
Consciousness Studies - Philosophy and Neuropsychology
Supervisors
Examiners
Available from: 2019-11-12 Created: 2019-11-07 Last updated: 2019-11-12Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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