The influence of age and ASD on verbal fluency networks.

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  • Additional Information
    • Source:
      Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101300021 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1750-9467 (Print) NLM ISO Abbreviation: Res Autism Spectr Disord Subsets: PubMed not MEDLINE
    • Publication Information:
      Original Publication: Amsterdam : Elsevier
    • Abstract:
      Background: The integrity and connectivity of the frontal lobe, which subserves fluency, may be compromised by both ASD and aging. Alternate networks often integrate to help compensate for compromised functions during aging. We used network analyses to study how compensation may overcome age-related compromised in individuals with ASD.
      Method: Participants consisted of middle-aged (40-60; n=24) or young (18-25; n=18) right-handed males who have a diagnosis of ASD, and age- and IQ-matched control participants (n=20, 14, respectively). All performed tests of language and executive functioning and a fluency functional MRI task. We first used group individual component analysis (ICA) for each of the 4 groups to determine whether different networks were engaged. An SPM analysis was used to compare activity detected in the network nodes from the ICA analyses.
      Results: The individuals with ASD performed more slowly on two cognitive tasks (Stroop word reading and Trailmaking Part A). The 4 groups engaged different networks during the fluency fMRI task despite equivalent performance. Comparisons of specific regions within these networks indicated younger individuals had greater engagement of the thalamus and supplementary speech area, while older adults engaged the superior temporal gyrus. Individuals with ASD did not disengage from the Default Mode Network during word generation.
      Conclusion: Interactions between diagnosis and aging were not found in this study of young and middle-aged men, but evidence for differential engagement of compensatory networks was observed.
      Competing Interests: Conflict of Interest The authors of this study have no financial, personal, or other relationships that may pose potential conflicts of interest related to this research.
    • References:
      Neuroreport. 2002 Dec 20;13(18):2425-8. (PMID: 12499842)
      Schizophr Bull. 2009 Jan;35(1):67-81. (PMID: 19074498)
      Brain Lang. 2003 Feb;84(2):264-72. (PMID: 12590915)
      Neuropsychologia. 2008;46(9):2281-91. (PMID: 18485420)
      Nature. 1995 Feb 16;373(6515):607-9. (PMID: 7854416)
      Neurology. 2003 Jun 10;60(11):1777-81. (PMID: 12796530)
      Dev Sci. 2016 Jul;19(4):550-63. (PMID: 26613549)
      J Neurosci. 2006 Oct 4;26(40):10222-31. (PMID: 17021177)
      Hum Brain Mapp. 2017 Jan;38(1):82-96. (PMID: 27511627)
      Proc Natl Acad Sci U S A. 2003 Jan 7;100(1):253-8. (PMID: 12506194)
      Neuroimage. 2010 Jan 1;49(1):1099-107. (PMID: 19632335)
      Annu Rev Psychol. 2009;60:173-96. (PMID: 19035823)
      J Cogn Neurosci. 2008 Sep;20(9):1698-710. (PMID: 18345989)
      J Psychiatr Res. 1975 Nov;12(3):189-98. (PMID: 1202204)
      J Autism Dev Disord. 2016 Sep;46(9):2859-73. (PMID: 27278313)
      J Neurosci. 2014 Nov 12;34(46):15425-36. (PMID: 25392509)
      Autism. 2006 Nov;10(6):551-64. (PMID: 17088272)
      Autism. 2009 May;13(3):245-64. (PMID: 19369387)
      J Int Neuropsychol Soc. 2006 Jul;12(4):502-9. (PMID: 16981602)
      Psychol Aging. 2002 Mar;17(1):44-55. (PMID: 11933895)
      Neuroimage. 2002 Nov;17(3):1394-402. (PMID: 12414279)
      J Neurosci Methods. 2013 Feb 15;213(1):105-22. (PMID: 23261654)
      Proc Natl Acad Sci U S A. 2006 May 23;103(21):8275-80. (PMID: 16702548)
      J Cogn Neurosci. 2001 Feb 15;13(2):272-83. (PMID: 11244551)
      J Autism Dev Disord. 2012 May;42(5):665-75. (PMID: 21656030)
      Psychol Aging. 2002 Jun;17(2):299-320. (PMID: 12061414)
      Nat Neurosci. 2006 Jul;9(7):971-8. (PMID: 16767087)
      Soc Cogn Affect Neurosci. 2015 Oct;10(10):1413-23. (PMID: 25809403)
      Neuroimaging Clin N Am. 2017 Nov;27(4):561-579. (PMID: 28985929)
      Autism Res. 2017 Dec;10(12):1945-1959. (PMID: 28940848)
      J Autism Dev Disord. 2017 Oct;47(10):3204-3219. (PMID: 28730417)
      Neuropsychology. 2000 Jul;14(3):353-60. (PMID: 10928738)
      J Neurosci. 2007 Mar 28;27(13):3477-89. (PMID: 17392464)
      Cereb Cortex. 2005 Nov;15(11):1676-89. (PMID: 15703252)
      Brain Struct Funct. 2016 May;221(4):2123-34. (PMID: 25939335)
      J Child Psychol Psychiatry. 1999 Feb;40(2):189-201. (PMID: 10188701)
      Mol Psychiatry. 2014 Jun;19(6):659-67. (PMID: 23774715)
      Comput Math Methods Med. 2016;2016:2816567. (PMID: 27579051)
      J Autism Dev Disord. 2001 Aug;31(4):433-40. (PMID: 11569589)
      Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):1001-13. (PMID: 16087444)
      Brain Cogn. 2013 Nov;83(2):218-26. (PMID: 24056237)
      Folia Phoniatr Logop. 2012;64(4):187-98. (PMID: 23108448)
      Arch Clin Neuropsychol. 1999 Feb;14(2):167-77. (PMID: 14590600)
      Autism Res. 2016 Jun;9(6):666-76. (PMID: 26333004)
      Neuropsychologia. 2009 Feb;47(3):652-6. (PMID: 19084028)
      Cereb Cortex. 2006 Sep;16(9):1276-82. (PMID: 16306324)
      J Cogn Neurosci. 2006 Feb;18(2):227-41. (PMID: 16494683)
      Neuroimage. 2008 Jul 15;41(4):1184-91. (PMID: 18495494)
    • Grant Information:
      K01 MH116098 United States MH NIMH NIH HHS
    • Publication Date:
      Date Created: 20200623 Latest Revision: 20220415
    • Publication Date:
      20221213
    • Accession Number:
      PMC7304570
    • Accession Number:
      10.1016/j.rasd.2019.03.002
    • Accession Number:
      32565886