Aging and the wandering brain: Age-related differences in the neural correlates of stimulus-independent thoughts
Autoři:
David Maillet aff001; Roger E. Beaty aff002; Areeba Adnan aff003; Kieran C. R. Fox aff004; Gary R. Turner aff003; R. Nathan Spreng aff006
Působiště autorů:
Rotman Research Institute, Baycrest Health Sciences, University of Toronto, North York, ON, Canada
aff001; Department of Psychology, Pennsylvania State University, University Park, PA, United States of America
aff002; Department of Psychology, York University, Sherman Health Science Research Centre, Keele Campus, Toronto, Canada
aff003; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States of America
aff004; School of Medicine, Stanford University, Stanford, CA, United States of America
aff005; Laboratory of Brain and Cognition, Montreal Neurological Institute, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
aff006; Departments of Psychology and Psychiatry, McGill University, Montreal, QC, Canada
aff007
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0223981
Souhrn
In recent years, several studies have indicated that healthy older adults exhibit a reduction in task-unrelated thoughts compared to young adults. However, much less is known regarding age-related differences in time spent engaging in stimulus-independent thoughts or in their neural correlates in the absence of an ongoing task. In the current study, we collected functional magnetic resonance imaging (fMRI) data while 29 young (mean age = 22y) and 22 older (mean age = 70y) adults underwent experience sampling in the absence of an ongoing task (i.e., at “rest”). Although both age groups reported spending a similar amount of time engaged in stimulus-independent thoughts, older adults rated their thoughts as more present-oriented (rather than atemporal) and more novel. Moreover, controlling for these age-related differences in content, we found that experiencing stimulus-independent thoughts was associated with increased posterior cingulate and left angular gyrus activation across age groups compared to exhibiting an external focus of attention. When experiencing stimulus-independent thoughts, younger adults engaged medial and left lateral prefrontal cortex as well as left superior temporal gyrus to a greater degree than older adults. Taken together, our results suggest that, in the absence of an ongoing task, although young and older adults spend a similar amount of time engaging in stimulus-independent thoughts, the content and neural correlates of these thoughts differ with age.
Klíčová slova:
Prefrontal cortex – Cognition – Functional magnetic resonance imaging – Magnetic resonance imaging – Elderly – Young adults – Attention – Cerebellum
Zdroje
1. Maillet D. and Schacter D.L., From mind wandering to involuntary retrieval: Age-related differences in spontaneous cognitive processes. Neuropsychologia, 2016. 80: p. 142–56. doi: 10.1016/j.neuropsychologia.2015.11.017 26617263
2. Jordao M., et al., Meta-analysis of aging effects in mind wandering: Methodological and sociodemographic factors. Psychol Aging, 2019.
3. Maillet D. and Rajah M.N., Age-related changes in frequency of mind-wandering and task-related interferences during memory encoding and their impact on retrieval. Memory, 2013. 21(7): p. 818–31. doi: 10.1080/09658211.2012.761714 23360550
4. Giambra L.M., Task-unrelated-thought frequency as a function of age: a laboratory study. Psychology and Aging, 1989. 4(2): p. 136–43. doi: 10.1037/0882-7974.4.2.136 2789741
5. Jackson J.D. and Balota D.A., Mind-wandering in younger and older adults: converging evidence from the Sustained Attention to Response Task and reading for comprehension. Psychology and Aging, 2012. 27(1): p. 106–19. doi: 10.1037/a0023933 21707183
6. Krawietz S.A., Tamplin A.K., and Radvansky G.A., Aging and mind wandering during text comprehension. Psychology and Aging, 2012. 27(4): p. 951–8. doi: 10.1037/a0028831 22686406
7. McVay J.C., et al., Aging ebbs the flow of thought: adult age differences in mind wandering, executive control, and self-evaluation. Acta Psychologica (Amst), 2013. 142(1): p. 136–47.
8. Maillet D. and Schacter D.L., When the mind wanders: Distinguishing stimulus-dependent from stimulus-independent thoughts during incidental encoding in young and older adults. Psychology and Aging, 2016. 31(4): p. 370–9. doi: 10.1037/pag0000099 27294717
9. Parks C.W., Klinger E., and Perlmutter M., Dimensions of thought as a function of age, gender and task difficulty. Imagination, Cognition and Personality, 1988. 8(1): p. 49–62.
10. Frank D.J., et al., Validating older adults' reports of less mind-wandering: An examination of eye movements and dispositional influences. Psychology and Aging, 2015. 30(2): p. 266–78. doi: 10.1037/pag0000031 25938246
11. Maillet D., et al., Age-related differences in mind-wandering in daily life. Psychology and Aging, 2018. 33(4): p. 643–653. doi: 10.1037/pag0000260 29902056
12. Christoff K., et al., Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proceedings of the National Academy of Sciences of the United States of America, 2009. 106(21): p. 8719–24. doi: 10.1073/pnas.0900234106 19433790
13. Fox K.C., et al., The wandering brain: meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes. Neuroimage, 2015. 111: p. 611–21. doi: 10.1016/j.neuroimage.2015.02.039 25725466
14. Smallwood J., Distinguishing how from why the mind wanders: a process-occurrence framework for self-generated mental activity. Psychol Bull, 2013. 139(3): p. 519–35. doi: 10.1037/a0030010 23607430
15. Christoff K., et al., Mind-wandering as spontaneous thought: a dynamic framework. Nat Rev Neurosci, 2016. 17(11): p. 718–731. doi: 10.1038/nrn.2016.113 27654862
16. Martinon L.M., et al., Patterns of on-task thought in older age are associated with changes in functional connectivity between temporal and prefrontal regions. Brain Cogn, 2019. 132: p. 118–128. doi: 10.1016/j.bandc.2019.04.002 30999087
17. Maillet D. and Rajah M.N., Assessing the Neural Correlates of Task-unrelated Thoughts during Episodic Encoding and Their Association with Subsequent Memory in Young and Older Adults. Journal of Cognitive Neuroscience, 2016. 28(6): p. 826–41. doi: 10.1162/jocn_a_00935 26845110
18. O'Callaghan C., et al., Shaped by our thoughts—a new task to assess spontaneous cognition and its associated neural correlates in the default network. Brain Cogn, 2015. 93: p. 1–10. doi: 10.1016/j.bandc.2014.11.001 25463243
19. Mevel K., et al., Age effect on the default mode network, inner thoughts, and cognitive abilities. Neurobiol Aging, 2013. 34(4): p. 1292–301. doi: 10.1016/j.neurobiolaging.2012.08.018 23084083
20. Fox K.C. and Beaty R.E., Mind-wandering as creative thinking: neural, psychological, and theoretical considerations. Current Opinion in Behavioral Sciences, 2019. 27: p. 123–130.
21. Fox K.C.R., et al., Affective neuroscience of self-generated thought. Ann N Y Acad Sci, 2018.
22. Stawarczyk D., Cassol H., and D'Argembeau A., Phenomenology of future-oriented mind-wandering episodes. Front Psychol, 2013. 4: p. 425.
23. Ralph B.C.W., et al., Wandering minds and wavering goals: Examining the relation between mind wandering and grit in everyday life and the classroom. Can J Exp Psychol, 2017. 71(2): p. 120–132. doi: 10.1037/cep0000116 28604049
24. Irish M., et al., Age-related changes in the temporal focus and self-referential content of spontaneous cognition during periods of low cognitive demand. Psychological Research, 2019. 83(4): p. 747–760. doi: 10.1007/s00426-018-1102-8 30291418
25. Carstensen L.L., Social and emotional patterns in adulthood: support for socioemotional selectivity theory. Psychol Aging, 1992. 7(3): p. 331–8. 1388852
26. Cole S.N. and Berntsen D., Do future thoughts reflect personal goals? Current concerns and mental time travel into the past and future. Q J Exp Psychol (Hove), 2016. 69(2): p. 273–84.
27. Folstein M.F., Folstein S.E., and McHugh P.R., "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res, 1975. 12(3): p. 189–98. doi: 10.1016/0022-3956(75)90026-6 1202204
28. Beaty R.E., et al., Default and Executive Network Coupling Supports Creative Idea Production. Sci Rep, 2015. 5: p. 10964. doi: 10.1038/srep10964 26084037
29. Beaty R.E., et al., Robust prediction of individual creative ability from brain functional connectivity. Proc Natl Acad Sci U S A, 2018. 115(5): p. 1087–1092. doi: 10.1073/pnas.1713532115 29339474
30. Lieberman M.D. and Cunningham W.A., Type I and Type II error concerns in fMRI research: re-balancing the scale. Soc Cogn Affect Neurosci, 2009. 4(4): p. 423–8. doi: 10.1093/scan/nsp052 20035017
31. O'Callaghan C., et al., Hippocampal atrophy and intrinsic brain network dysfunction relate to alterations in mind wandering in neurodegeneration. Proc Natl Acad Sci U S A, 2019. 116(8): p. 3316–3321. doi: 10.1073/pnas.1818523116 30718430
32. Jordao M., Pinho M.S., and St Jacques P.L., Inducing spontaneous future thoughts in younger and older adults by priming future-oriented personal goals. Psychol Res, 2019.
33. Rugg M.D. and Vilberg K.L., Brain networks underlying episodic memory retrieval. Curr Opin Neurobiol, 2013. 23(2): p. 255–60. doi: 10.1016/j.conb.2012.11.005 23206590
34. Benoit R.G. and Schacter D.L., Specifying the core network supporting episodic simulation and episodic memory by activation likelihood estimation. Neuropsychologia, 2015. 75: p. 450–7. doi: 10.1016/j.neuropsychologia.2015.06.034 26142352
35. Qin P. and Northoff G., How is our self related to midline regions and the default-mode network? Neuroimage, 2011. 57(3): p. 1221–33. doi: 10.1016/j.neuroimage.2011.05.028 21609772
36. Sormaz M., et al., Default mode network can support the level of detail in experience during active task states. Proc Natl Acad Sci U S A, 2018. 115(37): p. 9318–9323. doi: 10.1073/pnas.1721259115 30150393
37. Spreng R.N., Wojtowicz M., and Grady C.L., Reliable differences in brain activity between young and old adults: a quantitative meta-analysis across multiple cognitive domains. Neurosci Biobehav Rev, 2010. 34(8): p. 1178–94. doi: 10.1016/j.neubiorev.2010.01.009 20109489
38. Seli P., et al., Mind-Wandering With and Without Intention. Trends Cogn Sci, 2016. 20(8): p. 605–17. doi: 10.1016/j.tics.2016.05.010 27318437
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