Literature DB >> 28627905

Mind-wandering in healthy aging and early stage Alzheimer's disease.

Mate Gyurkovics1, David A Balota2, Jonathan D Jackson3.   

Abstract

OBJECTIVE: The frequency of mind-wandering (MW) decreases as a function of age in healthy individuals. One possible explanation is that MW is a resource-dependent process, and cognitive resources decline with age. The present study provides the first investigation of MW in the earliest stages of Alzheimer's disease (AD) to further examine the resource model and discontinuities between healthy aging and AD.
METHOD: Three large cohorts completed the Sustained Attention to Response Task (SART): a healthy middle-aged group (mean age = 61.79 ± 5.84 years; N = 270), a healthy older adult group (mean age = 76.58 ± 5.27 years; N = 282), and a group with early stage AD (mean age = 76.08 ± 7.17; N = 77), comparable in age to the second group.
RESULTS: Self-reports of MW during the SART decreased as a function of age, and there was a further decrease in the AD group. All 3 groups produced faster responses on trials before No-Go errors, suggesting MW occurred in all cohorts. After No-Go errors, healthy older adults slowed disproportionately compared with middle-aged adults. This was not evident in AD individuals who showed posterror slowing comparable with that in the middle-aged group.
CONCLUSIONS: The decreased self-reported MW in older adults and the further decline in AD are consistent with the cognitive resource account of MW. Behavioral indices suggest that AD is on a continuum with healthy aging, with the exception of posterror slowing that may suggest performance monitoring deficits in early AD individuals (e.g., lack of error awareness). (PsycINFO Database Record (c) 2018 APA, all rights reserved).

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Year:  2017        PMID: 28627905      PMCID: PMC5736473          DOI: 10.1037/neu0000385

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  76 in total

1.  Drifting from slow to "D'oh!": working memory capacity and mind wandering predict extreme reaction times and executive control errors.

Authors:  Jennifer C McVay; Michael J Kane
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2011-10-17       Impact factor: 3.051

2.  Longitudinal change in cognitive performance among individuals with mild cognitive impairment.

Authors:  Marilyn Albert; Deborah Blacker; Mark B Moss; Rudolph Tanzi; John J McArdle
Journal:  Neuropsychology       Date:  2007-03       Impact factor: 3.295

3.  Going AWOL in the brain: mind wandering reduces cortical analysis of external events.

Authors:  Jonathan Smallwood; Emily Beach; Jonathan W Schooler; Todd C Handy
Journal:  J Cogn Neurosci       Date:  2008-03       Impact factor: 3.225

4.  Post-error slowing: an orienting account.

Authors:  Wim Notebaert; Femke Houtman; Filip Van Opstal; Wim Gevers; Wim Fias; Tom Verguts
Journal:  Cognition       Date:  2009-03-12

5.  Validating older adults' reports of less mind-wandering: An examination of eye movements and dispositional influences.

Authors:  David J Frank; Brent Nara; Michela Zavagnin; Dayna R Touron; Michael J Kane
Journal:  Psychol Aging       Date:  2015-05-04

6.  The Attention-Lapse and Motor Decoupling accounts of SART performance are not mutually exclusive.

Authors:  Paul Seli
Journal:  Conscious Cogn       Date:  2016-03-03

Review 7.  Mind-wandering as spontaneous thought: a dynamic framework.

Authors:  Kalina Christoff; Zachary C Irving; Kieran C R Fox; R Nathan Spreng; Jessica R Andrews-Hanna
Journal:  Nat Rev Neurosci       Date:  2016-09-22       Impact factor: 34.870

8.  Mind-wandering in younger and older adults: converging evidence from the Sustained Attention to Response Task and reading for comprehension.

Authors:  Jonathan D Jackson; David A Balota
Journal:  Psychol Aging       Date:  2011-06-27

9.  Differential synchronization in default and task-specific networks of the human brain.

Authors:  Aaron Kirschner; Julia Wing Yan Kam; Todd C Handy; Lawrence M Ward
Journal:  Front Hum Neurosci       Date:  2012-05-21       Impact factor: 3.169

10.  Can mind-wandering be timeless? Atemporal focus and aging in mind-wandering paradigms.

Authors:  Jonathan D Jackson; Yana Weinstein; David A Balota
Journal:  Front Psychol       Date:  2013-10-16
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  9 in total

Review 1.  "All is not lost"-Rethinking the nature of memory and the self in dementia.

Authors:  Cherie Strikwerda-Brown; Matthew D Grilli; Jessica Andrews-Hanna; Muireann Irish
Journal:  Ageing Res Rev       Date:  2019-06-22       Impact factor: 10.895

2.  Hippocampal atrophy and intrinsic brain network dysfunction relate to alterations in mind wandering in neurodegeneration.

Authors:  Claire O'Callaghan; James M Shine; John R Hodges; Jessica R Andrews-Hanna; Muireann Irish
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-04       Impact factor: 11.205

Review 3.  Reconceptualizing mind wandering from a switching perspective.

Authors:  Yi-Sheng Wong; Adrian R Willoughby; Liana Machado
Journal:  Psychol Res       Date:  2022-03-29

4.  Deficits in spontaneous and stimulus-dependent retrieval as an early sign of abnormal aging.

Authors:  Michał Wereszczyński; Agnieszka Niedźwieńska
Journal:  Sci Rep       Date:  2022-06-10       Impact factor: 4.996

5.  Cognitive and non-cognitive variables influencing age-related effect of mind wandering across the adult life span.

Authors:  Erika Borella; Michela Zavagnin; Lucia Ronconi; Rossana De Beni
Journal:  Eur J Ageing       Date:  2021-07-14

6.  Dispositional factors account for age differences in self-reported mind-wandering.

Authors:  Jessica Nicosia; David Balota
Journal:  Psychol Aging       Date:  2021-06

7.  Alterations in resting-state network dynamics along the Alzheimer's disease continuum.

Authors:  D Puttaert; N Coquelet; V Wens; P Peigneux; P Fery; A Rovai; N Trotta; N Sadeghi; T Coolen; J-C Bier; S Goldman; X De Tiège
Journal:  Sci Rep       Date:  2020-12-15       Impact factor: 4.379

Review 8.  Prefrontal contributions to the stability and variability of thought and conscious experience.

Authors:  Andre Zamani; Robin Carhart-Harris; Kalina Christoff
Journal:  Neuropsychopharmacology       Date:  2021-09-20       Impact factor: 7.853

9.  Predicting response time variability from task and resting-state functional connectivity in the aging brain.

Authors:  Oyetunde Gbadeyan; James Teng; Ruchika Shaurya Prakash
Journal:  Neuroimage       Date:  2022-01-08       Impact factor: 7.400

  9 in total

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