A Diffusion Model Account of Cognitive Variability in Healthy Aging and Mild Cognitive Impairment.

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Title: A Diffusion Model Account of Cognitive Variability in Healthy Aging and Mild Cognitive Impairment.
Authors: Aschenbrenner, Andrew J., Jackson, Joshua J.
Source: Experimental Aging Research. May/Jun2025, Vol. 51 Issue 3, p285-302. 18p.
Subjects: Mild cognitive impairment, Cognitive testing, Research funding, Personality assessment, Attention, Mathematical models, Theory, Active aging
Abstract: Within-person variation in cognitive performance is linked to pathological aging. Cognitive fluctuations have not been analyzed using cognitive process models, such as the diffusion model, to characterize which cognitive processes contribute to variability in cognition. We collected 21 daily assessments of attention and personality in younger adults, healthy older adults, and those with mild cognitive impairment. We employed mixed-effects location scale models to analyze group differences on mean diffusion parameters and daily variability. Discussion focuses on how these methods extend our understanding of how cognitive deficits might appear in aging and disease and the moderating influence of daily personality. [ABSTRACT FROM AUTHOR]
Copyright of Experimental Aging Research is the property of Taylor & Francis Ltd 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.)
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  Data: A Diffusion Model Account of Cognitive Variability in Healthy Aging and Mild Cognitive Impairment.
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  Data: <searchLink fieldCode="AR" term="%22Aschenbrenner%2C+Andrew+J%2E%22">Aschenbrenner, Andrew J.</searchLink><br /><searchLink fieldCode="AR" term="%22Jackson%2C+Joshua+J%2E%22">Jackson, Joshua J.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Experimental+Aging+Research%22">Experimental Aging Research</searchLink>. May/Jun2025, Vol. 51 Issue 3, p285-302. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Mild+cognitive+impairment%22">Mild cognitive impairment</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+testing%22">Cognitive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+assessment%22">Personality assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Attention%22">Attention</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Theory%22">Theory</searchLink><br /><searchLink fieldCode="DE" term="%22Active+aging%22">Active aging</searchLink>
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  Data: Within-person variation in cognitive performance is linked to pathological aging. Cognitive fluctuations have not been analyzed using cognitive process models, such as the diffusion model, to characterize which cognitive processes contribute to variability in cognition. We collected 21 daily assessments of attention and personality in younger adults, healthy older adults, and those with mild cognitive impairment. We employed mixed-effects location scale models to analyze group differences on mean diffusion parameters and daily variability. Discussion focuses on how these methods extend our understanding of how cognitive deficits might appear in aging and disease and the moderating influence of daily personality. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Experimental Aging Research is the property of Taylor & Francis Ltd 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.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/0361073X.2024.2409588
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 285
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      – SubjectFull: Mild cognitive impairment
        Type: general
      – SubjectFull: Cognitive testing
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Personality assessment
        Type: general
      – SubjectFull: Attention
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Theory
        Type: general
      – SubjectFull: Active aging
        Type: general
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      – TitleFull: A Diffusion Model Account of Cognitive Variability in Healthy Aging and Mild Cognitive Impairment.
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              M: 05
              Text: May/Jun2025
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              Y: 2025
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