Medial temporal lobe white matter pathway variability is associated with individual differences in episodic memory in cognitively normal older adults.
Adult
Aged
Aged, 80 and over
Amyloidogenic Proteins
/ cerebrospinal fluid
Biomarkers
/ cerebrospinal fluid
Cognitive Aging
/ physiology
Diffusion Tensor Imaging
Female
Healthy Aging
/ cerebrospinal fluid
Humans
Male
Memory, Episodic
Middle Aged
Temporal Lobe
/ diagnostic imaging
White Matter
/ diagnostic imaging
Young Adult
Biomarker
Cerebrospinal fluid
Cognitive aging
Diffusion tensor imaging
Episodic memory
Journal
Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
received:
06
08
2019
revised:
01
11
2019
accepted:
16
11
2019
pubmed:
26
12
2019
medline:
15
9
2020
entrez:
26
12
2019
Statut:
ppublish
Résumé
Significant evidence demonstrates that aging is associated with variability in cognitive performance, even among individuals who are cognitively normal. In this study, we examined measures from magnetic resonance imaging and cerebrospinal fluid (CSF) to investigate which measures, alone or in combination, were associated with individual differences in episodic memory performance. Using hierarchical linear regressions, we compared the ability of diffusion tensor imaging (DTI) metrics, CSF measures of amyloid and tau, and gray matter volumes to explain variability in memory performance in a cohort of cognitively normal older adults. Measures of DTI microstructure were significantly associated with variance in memory performance, even after accounting for the contribution of the CSF and magnetic resonance imaging gray matter volume measures. Significant associations were found between DTI measures of the hippocampal cingulum and fornix with individual differences in memory. No such relationships were found between memory performance and CSF markers or gray matter volumes. These findings suggest that DTI metrics may be useful in identifying changes associated with aging or age-related diseases.
Identifiants
pubmed: 31874745
pii: S0197-4580(19)30410-5
doi: 10.1016/j.neurobiolaging.2019.11.011
pmc: PMC7064393
mid: NIHMS1066829
pii:
doi:
Substances chimiques
Amyloidogenic Proteins
0
Biomarkers
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
78-88Subventions
Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005146
Pays : United States
Organisme : NIA NIH HHS
ID : T32 AG027668
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG033655
Pays : United States
Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
Références
Neuroimage. 2013 Jun;73:239-54
pubmed: 22846632
Magn Reson Med. 2011 Jun;65(6):1532-56
pubmed: 21469191
Alzheimers Dement. 2011 May;7(3):270-9
pubmed: 21514249
IEEE Trans Med Imaging. 1997 Dec;16(6):864-77
pubmed: 9533586
Brain Topogr. 2014 May;27(3):393-402
pubmed: 24414091
Neuroscience. 2014 Sep 12;276:187-205
pubmed: 24280637
J Alzheimers Dis. 2011;26(1):135-42
pubmed: 21593572
J Alzheimers Dis. 2012;29(2):405-29
pubmed: 22330833
Comput Methods Programs Biomed. 2006 Feb;81(2):106-16
pubmed: 16413083
Hum Brain Mapp. 2015 Jul;36(7):2826-41
pubmed: 25879865
Front Bioeng Biotechnol. 2015 May 15;3:54
pubmed: 26284236
Alzheimers Dement. 2011 May;7(3):263-9
pubmed: 21514250
Cold Spring Harb Perspect Biol. 2015 Aug 03;7(8):a021766
pubmed: 26238360
Brain Imaging Behav. 2016 Sep;10(3):652-9
pubmed: 26424564
Front Neurosci. 2013 Mar 12;7:31
pubmed: 23486659
JAMA Neurol. 2014 Jun;71(6):742-51
pubmed: 24756381
Neurodegener Dis. 2016;16(1-2):26-33
pubmed: 26618812
Front Aging Neurosci. 2014 Sep 11;6:241
pubmed: 25309426
J Alzheimers Dis. 2011;23(2):319-26
pubmed: 21098971
Acta Neuropathol. 1991;82(4):239-59
pubmed: 1759558
Curr Opin Neurobiol. 1995 Apr;5(2):169-77
pubmed: 7620304
Neuroscience. 2014 Sep 12;276:206-15
pubmed: 24583036
Neuroimage Clin. 2013 Sep 16;3:352-60
pubmed: 24363990
Neurobiol Aging. 2015 Jan;36 Suppl 1:S3-S10
pubmed: 25444602
Neuroimage. 2012 Jan 16;59(2):1394-403
pubmed: 21924365
Stat Methods Med Res. 1997 Sep;6(3):267-99
pubmed: 9339500
Arch Neurol. 2010 Feb;67(2):217-23
pubmed: 20142530
J Neuroimaging. 2012 Oct;22(4):365-74
pubmed: 21848679
Neurology. 2013 Nov 12;81(20):1753-8
pubmed: 24132375
Curr Alzheimer Res. 2014;11(8):773-84
pubmed: 25212916
J Int Neuropsychol Soc. 2016 Feb;22(2):138-63
pubmed: 26888613
Lancet Neurol. 2013 Oct;12(10):957-65
pubmed: 24012374
NeuroRehabilitation. 2017;41(1):189-204
pubmed: 28527230
PLoS One. 2014 May 08;9(5):e96985
pubmed: 24809486
J Alzheimers Dis. 2019;70(4):965-981
pubmed: 31306117
J Neuroimaging. 2015 Sep-Oct;25(5):748-53
pubmed: 25491469
Brain. 2011 May;134(Pt 5):1479-92
pubmed: 21478184
Brain. 2010 Feb;133(Pt 2):529-39
pubmed: 19914928
Neuroimage. 2011 Apr 15;55(4):1566-76
pubmed: 21262366
J Neurosci. 2011 Sep 14;31(37):13236-45
pubmed: 21917806
J Neurol Neurosurg Psychiatry. 2007 May;78(5):461-4
pubmed: 17098843
Neuropsychologia. 2015 Nov;78:63-72
pubmed: 26394023
CNS Neurosci Ther. 2014 Jan;20(1):3-9
pubmed: 24330534
J Alzheimers Dis. 2011;26 Suppl 3:287-96
pubmed: 21971468
Biochim Biophys Acta. 2012 Mar;1822(3):416-22
pubmed: 21803153
Expert Rev Neurother. 2013 May;13(5):483-93
pubmed: 23621306
Neurology. 2007 Jan 2;68(1):13-9
pubmed: 17200485
Curr Opin Neurobiol. 1997 Apr;7(2):217-27
pubmed: 9142752
Ann Neurol. 2010 Dec;68(6):825-34
pubmed: 21181717
Brain Connect. 2011;1(6):423-46
pubmed: 22432902
JAMA Neurol. 2016 Jun 1;73(6):698-705
pubmed: 27064267
Neurology. 2002 Jun 25;58(12):1791-800
pubmed: 12084879
Alzheimers Dement. 2011 May;7(3):280-92
pubmed: 21514248
Arch Neurol. 2007 Mar;64(3):343-9
pubmed: 17210801
Neuroimage. 2009 Aug 15;47(2):618-27
pubmed: 19398016
Alzheimers Dement. 2012;8(2):105-13
pubmed: 22404852
Curr Behav Neurosci Rep. 2015 Dec;2(4):234-245
pubmed: 27034914