Neural correlates of temporality: Default mode variability and temporal awareness

Neural correlates of temporality: Default mode variability and temporal awareness

The continual background awareness of duration is an essential structure of consciousness, conferring temporal extension to the many objects of awareness within the evanescent sensory present. Seeking the possible neural correlates of ubiquitous temporal awareness, this article reexamines fMRI data...

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Bibliographic Details
Published in:Consciousness and cognition 2012-06, Vol.21 (2), p.695-703
Main Author: Lloyd, Dan
Format: Article
Language:eng
Subjects:
Adult
Age
Aged
Aged, 80 and over
Awareness - physiology
Brain
Brain - physiology
Brain mapping
Cognition & reasoning
Cognitive ability
Consciousness
Consciousness - physiology
Data processing
fMRI
Functional magnetic resonance imaging
Functional Neuroimaging
Humans
Language
Magnetic Resonance Imaging
Middle Aged
Nervous system
Neural networks
Neurosciences
Sensory perception
Support vector machines
Temporality
Time
Time Perception - physiology
Young Adult
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Description
Summary:The continual background awareness of duration is an essential structure of consciousness, conferring temporal extension to the many objects of awareness within the evanescent sensory present. Seeking the possible neural correlates of ubiquitous temporal awareness, this article reexamines fMRI data from off-task “default mode” (DM) periods in 25 healthy subjects studied by Grady et al. (“Age-related Changes in Brain Activity across the Adult Lifespan,”Journal of Cognitive Neuroscience 18(2), 2005). “Brain reading” using support vector machines detected information specifying elapsed time, and further analysis specified distributed networks encoding implicit time. These networks fluctuate; none are continuously active during DM. However, the aggregate regions of greatest variability closely resemble the default mode network. It appears that the default mode network has an important role as a state-dependent monitor of temporality.
ISSN:1053-8100
1090-2376