View in EDS HTML Full Text PDF Full Text

Linked Sources of Neural Noise Contribute to Age-related Cognitive Decline.

Saved in:
Bibliographic Details
Title: Linked Sources of Neural Noise Contribute to Age-related Cognitive Decline.
Authors: Tran, Tam T. (AUTHOR), Rolle, Camarin E. (AUTHOR), Gazzaley, Adam (AUTHOR), Voytek, Bradley (AUTHOR)
Source: Journal of Cognitive Neuroscience. Sep2020, Vol. 32 Issue 9, p1813-1822. 10p. 5 Graphs.
Subjects: Visual discrimination, Older people, Noise, Visual perception, Power spectra
Abstract: Healthy aging is associated with a multitude of structural changes in the brain. These physical age-related changes are accompanied by increased variability in neural activity of all kinds, and this increased variability, collectively referred to as "neural noise," is argued to contribute to age-related cognitive decline. In this study, we examine the relationship between two particular types of neural noise in aging. We recorded scalp EEG from younger (20–30 years old) and older (60–70 years old) adults performing a spatial visual discrimination task. First, we used the 1/f-like exponent of the EEG power spectrum, a putative marker of neural noise, to assess baseline shifts toward a noisier state in aging. Next, we examined age-related decreases in the trial-by-trial consistency of visual stimulus processing. Finally, we examined to what extent these two age-related noise markers are related, hypothesizing that greater baseline noise would increase the variability of stimulus-evoked responses. We found that visual cortical baseline noise was higher in older adults, and the consistency of older adults' oscillatory alpha (8–12 Hz) phase responses to visual targets was also lower than that of younger adults. Crucially, older adults with the highest levels of baseline noise also had the least consistent alpha phase responses, whereas younger adults with more consistent phase responses achieved better behavioral performance. These results establish a link between tonic neural noise and stimulus-associated neural variability in aging. Moreover, they suggest that tonic age-related increases in baseline noise might diminish sensory processing and, as a result, subsequent cognitive performance. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 144868253
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Linked Sources of Neural Noise Contribute to Age-related Cognitive Decline.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Tran%2C+Tam+T%2E%22">Tran, Tam T.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rolle%2C+Camarin+E%2E%22">Rolle, Camarin E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gazzaley%2C+Adam%22">Gazzaley, Adam</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Voytek%2C+Bradley%22">Voytek, Bradley</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cognitive+Neuroscience%22">Journal of Cognitive Neuroscience</searchLink>. Sep2020, Vol. 32 Issue 9, p1813-1822. 10p. 5 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Visual+discrimination%22">Visual discrimination</searchLink><br /><searchLink fieldCode="DE" term="%22Older+people%22">Older people</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Power+spectra%22">Power spectra</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Healthy aging is associated with a multitude of structural changes in the brain. These physical age-related changes are accompanied by increased variability in neural activity of all kinds, and this increased variability, collectively referred to as "neural noise," is argued to contribute to age-related cognitive decline. In this study, we examine the relationship between two particular types of neural noise in aging. We recorded scalp EEG from younger (20–30 years old) and older (60–70 years old) adults performing a spatial visual discrimination task. First, we used the 1/f-like exponent of the EEG power spectrum, a putative marker of neural noise, to assess baseline shifts toward a noisier state in aging. Next, we examined age-related decreases in the trial-by-trial consistency of visual stimulus processing. Finally, we examined to what extent these two age-related noise markers are related, hypothesizing that greater baseline noise would increase the variability of stimulus-evoked responses. We found that visual cortical baseline noise was higher in older adults, and the consistency of older adults' oscillatory alpha (8–12 Hz) phase responses to visual targets was also lower than that of younger adults. Crucially, older adults with the highest levels of baseline noise also had the least consistent alpha phase responses, whereas younger adults with more consistent phase responses achieved better behavioral performance. These results establish a link between tonic neural noise and stimulus-associated neural variability in aging. Moreover, they suggest that tonic age-related increases in baseline noise might diminish sensory processing and, as a result, subsequent cognitive performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=144868253
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1162/jocn_a_01584
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1813
    Subjects:
      – SubjectFull: Visual discrimination
        Type: general
      – SubjectFull: Older people
        Type: general
      – SubjectFull: Noise
        Type: general
      – SubjectFull: Visual perception
        Type: general
      – SubjectFull: Power spectra
        Type: general
    Titles:
      – TitleFull: Linked Sources of Neural Noise Contribute to Age-related Cognitive Decline.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tran, Tam T.
      – PersonEntity:
          Name:
            NameFull: Rolle, Camarin E.
      – PersonEntity:
          Name:
            NameFull: Gazzaley, Adam
      – PersonEntity:
          Name:
            NameFull: Voytek, Bradley
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 0898929X
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Journal of Cognitive Neuroscience
              Type: main
ResultId 1