How and why does our internal perception of time vary with age?
This review outlines the basic psychological and neurobiological processes associated with age-related distortions in timing and time perception in the hundredths of milliseconds-to-minutes range. The difficulty in separating indirect effects of impairments in attention and memory from direct effect...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2016-05-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnagi.2016.00102/full |
| _version_ | 1818621036748341248 |
|---|---|
| author | Martine eTurgeon Cindy eLustig Warren H Meck |
| author_facet | Martine eTurgeon Cindy eLustig Warren H Meck |
| author_sort | Martine eTurgeon |
| collection | DOAJ |
| description | This review outlines the basic psychological and neurobiological processes associated with age-related distortions in timing and time perception in the hundredths of milliseconds-to-minutes range. The difficulty in separating indirect effects of impairments in attention and memory from direct effects on timing mechanisms is addressed. The main premise is that normal aging is commonly associated with increased noise and temporal uncertainty as a result of impairments in attention and memory as well as the possible reduction in the accuracy and precision of a central timing mechanism supported by dopamine-glutamate interactions in cortico-striatal circuits. Pertinent to these findings, potential interventions that may reduce the likelihood of observing age-related declines in timing are discussed. Bayesian optimization models are able to account for the adaptive changes observed in time perception by assuming that older adults are more likely to base their temporal judgments on statistical inferences derived from multiple trials than on a single trial’s clock reading, which is more susceptible to distortion. We propose that the timing functions assigned to the age-sensitive fronto-striatal network can be subserved by other neural networks typically associated with finely-tuned perceptuo-motor adjustments, through de-generacy principles (different structures serving a common function). |
| first_indexed | 2024-12-16T18:02:54Z |
| format | Article |
| id | doaj.art-e2c46f537bf449d3a511599cb80d89ff |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-12-16T18:02:54Z |
| publishDate | 2016-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-e2c46f537bf449d3a511599cb80d89ff2022-12-21T22:22:01ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652016-05-01810.3389/fnagi.2016.00102191146How and why does our internal perception of time vary with age?Martine eTurgeon0Cindy eLustig1Warren H Meck2Douglas Mental Health University InstituteUniversity of MichiganDuke UniversityThis review outlines the basic psychological and neurobiological processes associated with age-related distortions in timing and time perception in the hundredths of milliseconds-to-minutes range. The difficulty in separating indirect effects of impairments in attention and memory from direct effects on timing mechanisms is addressed. The main premise is that normal aging is commonly associated with increased noise and temporal uncertainty as a result of impairments in attention and memory as well as the possible reduction in the accuracy and precision of a central timing mechanism supported by dopamine-glutamate interactions in cortico-striatal circuits. Pertinent to these findings, potential interventions that may reduce the likelihood of observing age-related declines in timing are discussed. Bayesian optimization models are able to account for the adaptive changes observed in time perception by assuming that older adults are more likely to base their temporal judgments on statistical inferences derived from multiple trials than on a single trial’s clock reading, which is more susceptible to distortion. We propose that the timing functions assigned to the age-sensitive fronto-striatal network can be subserved by other neural networks typically associated with finely-tuned perceptuo-motor adjustments, through de-generacy principles (different structures serving a common function).http://journal.frontiersin.org/Journal/10.3389/fnagi.2016.00102/fullAgingAttentionMemoryTime PerceptionBayesian Modelsinterval timing |
| spellingShingle | Martine eTurgeon Cindy eLustig Warren H Meck How and why does our internal perception of time vary with age? Frontiers in Aging Neuroscience Aging Attention Memory Time Perception Bayesian Models interval timing |
| title | How and why does our internal perception of time vary with age? |
| title_full | How and why does our internal perception of time vary with age? |
| title_fullStr | How and why does our internal perception of time vary with age? |
| title_full_unstemmed | How and why does our internal perception of time vary with age? |
| title_short | How and why does our internal perception of time vary with age? |
| title_sort | how and why does our internal perception of time vary with age |
| topic | Aging Attention Memory Time Perception Bayesian Models interval timing |
| url | http://journal.frontiersin.org/Journal/10.3389/fnagi.2016.00102/full |
| work_keys_str_mv | AT martineeturgeon howandwhydoesourinternalperceptionoftimevarywithage AT cindyelustig howandwhydoesourinternalperceptionoftimevarywithage AT warrenhmeck howandwhydoesourinternalperceptionoftimevarywithage |