دورية أكاديمية
أعرض في EDS

Age-related differences in prefrontal glutamate are associated with increased working memory decay that gives the appearance of learning deficits.

التفاصيل البيبلوغرافية
العنوان: Age-related differences in prefrontal glutamate are associated with increased working memory decay that gives the appearance of learning deficits.
المؤلفون: Rmus M; University of California, Berkeley, Berkeley, United States., He M; Massachusetts Institute of Technology, Boston, United States., Baribault B; University of California, Berkeley, Berkeley, United States., Walsh EG; Brown University, Providence, United States., Festa EK; Brown University, Providence, United States., Collins AGE; University of California, Berkeley, Berkeley, United States., Nassar MR; Brown University, Providence, United States.
المصدر: ELife [Elife] 2023 Apr 18; Vol. 12. Date of Electronic Publication: 2023 Apr 18.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.
اللغة: English
بيانات الدورية: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Cambridge, UK : eLife Sciences Publications, Ltd., 2012-
مواضيع طبية MeSH: Memory, Short-Term* , Glutamic Acid*, Humans ; Aged ; Learning ; Reinforcement, Psychology ; Task Performance and Analysis ; Prefrontal Cortex/diagnostic imaging
مستخلص: The ability to use past experience to effectively guide decision-making declines in older adulthood. Such declines have been theorized to emerge from either impairments of striatal reinforcement learning systems (RL) or impairments of recurrent networks in prefrontal and parietal cortex that support working memory (WM). Distinguishing between these hypotheses has been challenging because either RL or WM could be used to facilitate successful decision-making in typical laboratory tasks. Here we investigated the neurocomputational correlates of age-related decision-making deficits using an RL-WM task to disentangle these mechanisms, a computational model to quantify them, and magnetic resonance spectroscopy to link them to their molecular bases. Our results reveal that task performance is worse in older age, in a manner best explained by working memory deficits, as might be expected if cortical recurrent networks were unable to sustain persistent activity across multiple trials. Consistent with this, we show that older adults had lower levels of prefrontal glutamate, the excitatory neurotransmitter thought to support persistent activity, compared to younger adults. Individuals with the lowest prefrontal glutamate levels displayed the greatest impairments in working memory after controlling for other anatomical and metabolic factors. Together, our results suggest that lower levels of prefrontal glutamate may contribute to failures of working memory systems and impaired decision-making in older adulthood.
Competing Interests: MR, MH, BB, EW, EF, AC, MN No competing interests declared
(© 2023, Rmus et al.)
References: Nat Neurosci. 2017 Mar;20(3):470-475. (PMID: 28135242)
Elife. 2022 Nov 04;11:. (PMID: 36331872)
Trends Cogn Sci. 2022 Mar;26(3):255-267. (PMID: 35165069)
Proc Natl Acad Sci U S A. 2015 Jan 6;112(1):65-9. (PMID: 25535381)
J Magn Reson Imaging. 2014 Dec;40(6):1445-52. (PMID: 25548816)
Dev Cogn Neurosci. 2020 Feb;41:100732. (PMID: 31826837)
Psychon Bull Rev. 2018 Feb;25(1):178-206. (PMID: 28176294)
J Neurosci. 2014 Oct 8;34(41):13747-56. (PMID: 25297101)
Nature. 2011 Jul 27;476(7359):210-3. (PMID: 21796118)
Psychol Bull. 1996 Sep;120(2):272-92. (PMID: 8831298)
Curr Opin Behav Sci. 2016 Oct;11:49-54. (PMID: 27574699)
Trends Cogn Sci. 2001 Nov 1;5(11):479-486. (PMID: 11684480)
Eur J Neurosci. 2012 Apr;35(7):1024-35. (PMID: 22487033)
Psychol Sci. 2007 Mar;18(3):233-9. (PMID: 17444920)
Psychol Rev. 2014 Jul;121(3):337-66. (PMID: 25090423)
J Neurosci. 2006 Jan 25;26(4):1314-28. (PMID: 16436619)
Psychol Methods. 2023 Mar 27;:. (PMID: 36972080)
Cogn Affect Behav Neurosci. 2014 Jun;14(2):672-82. (PMID: 24853269)
Neurosci Biobehav Rev. 2006;30(6):791-807. (PMID: 16901542)
NMR Biomed. 2001 Jun;14(4):260-4. (PMID: 11410943)
Proc Natl Acad Sci U S A. 2007 Oct 9;104(41):16311-6. (PMID: 17913879)
J Neurosci. 2013 Nov 20;33(47):18566-73. (PMID: 24259578)
Psychol Aging. 2016 Nov;31(7):747-757. (PMID: 27599017)
Psychol Aging. 2008 Jun;23(2):392-8. (PMID: 18573012)
J Cogn Neurosci. 2018 Oct;30(10):1422-1432. (PMID: 29346018)
Sci Rep. 2019 Apr 23;9(1):6349. (PMID: 31015587)
J Neurosci. 2013 Jun 12;33(24):9905-12. (PMID: 23761885)
Elife. 2023 Apr 18;12:. (PMID: 37070807)
J Clin Exp Neuropsychol. 1998 Jun;20(3):310-9. (PMID: 9845158)
J Cogn Neurosci. 2011 Mar;23(3):579-92. (PMID: 20377358)
Magn Reson Med. 1999 Apr;41(4):649-56. (PMID: 10332839)
Neuroimage. 2006 Jul 1;31(3):968-80. (PMID: 16530430)
Proc Natl Acad Sci U S A. 2018 Mar 6;115(10):2502-2507. (PMID: 29463751)
Neuron. 1995 Mar;14(3):477-85. (PMID: 7695894)
Cochrane Database Syst Rev. 2003;(4):CD003260. (PMID: 14583963)
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2020 Sep;27(5):654-676. (PMID: 31544587)
J Neurosci. 2020 Mar 18;40(12):2458-2470. (PMID: 32051326)
J Cogn Neurosci. 2022 Mar 5;34(4):551-568. (PMID: 34942642)
J Stat Softw. 2017;76:. (PMID: 36568334)
Science. 2004 Dec 10;306(5703):1940-3. (PMID: 15528409)
Neuron. 2017 Jan 18;93(2):451-463. (PMID: 28103483)
Neuroimage. 2004 Oct;23(2):724-38. (PMID: 15488422)
Nat Neurosci. 2017 Jul;20(7):997-1003. (PMID: 28581478)
J Neurosci. 2010 Jun 2;30(22):7507-15. (PMID: 20519525)
PLoS One. 2016 Mar 31;11(3):e0152719. (PMID: 27031707)
Neuron. 2002 Jan 31;33(3):341-55. (PMID: 11832223)
Neural Comput. 2006 Feb;18(2):283-328. (PMID: 16378516)
J Neurophysiol. 2000 Mar;83(3):1733-50. (PMID: 10712493)
Psychon Bull Rev. 2015 Oct;22(5):1320-7. (PMID: 25582684)
J Neurosci. 2012 Jan 11;32(2):551-62. (PMID: 22238090)
Science. 1997 Mar 14;275(5306):1593-9. (PMID: 9054347)
Trends Cogn Sci. 2019 Apr;23(4):278-292. (PMID: 30824227)
Nat Neurosci. 2013 May;16(5):648-53. (PMID: 23525044)
J Magn Reson Imaging. 2009 Nov;30(5):1155-62. (PMID: 19856449)
معلومات مُعتمدة: K99 AG054732 United States AG NIA NIH HHS; R00 AG054732 United States AG NIA NIH HHS
فهرسة مساهمة: Keywords: PFC; aging; computational modeling; glutamate; human; neuroscience; reinforcement learning; working memory
المشرفين على المادة: 3KX376GY7L (Glutamic Acid)
تواريخ الأحداث: Date Created: 20230418 Date Completed: 20230515 Latest Revision: 20230524
رمز التحديث: 20230524
مُعرف محوري في PubMed: PMC10174689
DOI: 10.7554/eLife.85243
PMID: 37070807
قاعدة البيانات: MEDLINE
الوصف
تدمد:2050-084X
DOI:10.7554/eLife.85243