Altered mismatch response of inferior parietal lobule in amnestic mild cognitive impairment: A magnetoencephalographic study.
Aged
Amnesia
/ diagnostic imaging
Brain
/ diagnostic imaging
Cognitive Dysfunction
/ physiopathology
Female
Humans
Image Processing, Computer-Assisted
Magnetoencephalography
Male
Memory
Neuropsychological Tests
Parietal Lobe
/ physiopathology
Psychomotor Performance
ROC Curve
Verbal Learning
Wechsler Scales
amnestic mild cognitive impairment (aMCI)
inferior parietal lobule (IPL)
magnetoencephalography (MEG)
mismatch negativity (MMN)
Journal
CNS neuroscience & therapeutics
ISSN: 1755-5949
Titre abrégé: CNS Neurosci Ther
Pays: England
ID NLM: 101473265
Informations de publication
Date de publication:
10 2021
10 2021
Historique:
revised:
16
05
2021
received:
11
01
2021
accepted:
20
05
2021
pubmed:
5
8
2021
medline:
28
1
2022
entrez:
4
8
2021
Statut:
ppublish
Résumé
Mismatch negativity (MMN) reflects the functional integrity of sensory memory function. With the advantages of independence of individual's focused attention and behavioral cooperation, this neurophysiological signal is particularly suitable for investigating elderly with cognitive decline such as amnestic mild cognitive impairment (aMCI). However, the existing results remain substantially inconsistent whether these patients show deficits of MMN. In order to reconcile the previous disputes, the present study used magnetoencephalography combined with distributed source imaging methods to determine the source-level magnetic mismatch negativity (MMNm) in aMCI. A total of 26 healthy controls (HC) and 26 patients with aMCI underwent an auditory oddball paradigm during the MEG recordings. MMNm amplitudes and latencies in the bilateral superior temporal gyrus, inferior frontal gyrus, and inferior parietal lobule (IPL) were compared between HC and aMCI groups. The correlations of MMNm responses with performance of auditory/verbal memory tests were examined. Finally, MMNm and its combination with verbal/auditory memory tests were submitted to receiver operating characteristic (ROC) curve analysis. Compared to HC, patients with aMCI showed significantly delayed MMNm latencies in the IPL. Among the patients with aMCI, longer MMNm latencies of left IPL were associated with lower scores of Chinese Version Verbal Learning Test (CVVLT). The ROC curve analysis revealed that the combination of MMNm latencies of left IPL and CVVLT scores yielded a moderate accuracy in the discrimination of aMCI from HC at an individual level. Our data suggest dysfunctional MMNm in patients with aMCI, particularly in the IPL.
Sections du résumé
BACKGROUND
Mismatch negativity (MMN) reflects the functional integrity of sensory memory function. With the advantages of independence of individual's focused attention and behavioral cooperation, this neurophysiological signal is particularly suitable for investigating elderly with cognitive decline such as amnestic mild cognitive impairment (aMCI). However, the existing results remain substantially inconsistent whether these patients show deficits of MMN. In order to reconcile the previous disputes, the present study used magnetoencephalography combined with distributed source imaging methods to determine the source-level magnetic mismatch negativity (MMNm) in aMCI.
METHODS
A total of 26 healthy controls (HC) and 26 patients with aMCI underwent an auditory oddball paradigm during the MEG recordings. MMNm amplitudes and latencies in the bilateral superior temporal gyrus, inferior frontal gyrus, and inferior parietal lobule (IPL) were compared between HC and aMCI groups. The correlations of MMNm responses with performance of auditory/verbal memory tests were examined. Finally, MMNm and its combination with verbal/auditory memory tests were submitted to receiver operating characteristic (ROC) curve analysis.
RESULTS
Compared to HC, patients with aMCI showed significantly delayed MMNm latencies in the IPL. Among the patients with aMCI, longer MMNm latencies of left IPL were associated with lower scores of Chinese Version Verbal Learning Test (CVVLT). The ROC curve analysis revealed that the combination of MMNm latencies of left IPL and CVVLT scores yielded a moderate accuracy in the discrimination of aMCI from HC at an individual level.
CONCLUSIONS
Our data suggest dysfunctional MMNm in patients with aMCI, particularly in the IPL.
Identifiants
pubmed: 34347358
doi: 10.1111/cns.13691
pmc: PMC8446215
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1136-1145Subventions
Organisme : Ministry of Science and Technology, Taiwan
ID : MOST-105-2628-B-182-004-MY3
Organisme : Ministry of Science and Technology, Taiwan
ID : MOST-108-2628-B-182-002
Organisme : Ministry of Science and Technology, Taiwan
ID : MOST-109-2628-B-182-012
Organisme : Chang Gung Memorial Hospital, Linkou
ID : CMRPD1K0061
Organisme : Framework of the Higher Education Sprout Project by the Ministry of Education
ID : EMRPD1K0431
Informations de copyright
© 2021 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd.
Références
Neuropsychologia. 2013 Jan;51(2):211-9
pubmed: 23022080
Alzheimers Dement. 2011 May;7(3):270-9
pubmed: 21514249
Front Aging Neurosci. 2020 Feb 25;12:39
pubmed: 32158387
Eur J Neurosci. 2013 Sep;38(5):2786-92
pubmed: 23672647
Alzheimers Dement. 2011 May;7(3):280-92
pubmed: 21514248
Front Neurol. 2018 Dec 14;9:1086
pubmed: 30619046
Electroencephalogr Clin Neurophysiol. 1995 Sep;95(3):189-200
pubmed: 7555909
Neuropsychologia. 1997 Jun;35(6):795-812
pubmed: 9204486
J Alzheimers Dis. 2016 Jul 1;53(4):1405-10
pubmed: 27392868
Phys Med Biol. 2006 Apr 7;51(7):1759-68
pubmed: 16552102
Brain. 1984 Jun;107 ( Pt 2):605-17
pubmed: 6722519
Neurobiol Aging. 2009 Jul;30(7):1157-72
pubmed: 18023507
Eur J Neurosci. 2021 May;53(10):3350-3361
pubmed: 33754412
Neurobiol Aging. 2020 Jan;85:58-73
pubmed: 31739167
J Intern Med. 2004 Sep;256(3):183-94
pubmed: 15324362
Comput Intell Neurosci. 2011;2011:879716
pubmed: 21584256
Neuroimage. 2008 Jul 15;41(4):1462-70
pubmed: 18474433
Med Biol Eng Comput. 1997 Mar;35(2):135-40
pubmed: 9136207
CNS Neurosci Ther. 2020 May;26(5):576-588
pubmed: 31901155
Eur J Neurosci. 2005 Jan;21(2):531-5
pubmed: 15673452
Arch Neurol. 1999 Mar;56(3):303-8
pubmed: 10190820
Cochrane Database Syst Rev. 2017 Mar 22;3:CD010803
pubmed: 28328043
Psychophysiology. 2021 Jun;58(6):e13820
pubmed: 33792049
Neurobiol Aging. 2017 Jul;55:190-201
pubmed: 28461101
Front Neurol. 2012 Dec 05;3:172
pubmed: 23227021
Clin Neurophysiol. 2012 Mar;123(3):424-58
pubmed: 22169062
Brain Res. 2016 Oct 1;1648(Pt A):425-433
pubmed: 27485659
J Alzheimers Dis. 2011;26(4):719-34
pubmed: 21709375
Neuroreport. 1994 Dec 20;5(18):2537-40
pubmed: 7696598
Front Aging Neurosci. 2015 Mar 12;7:22
pubmed: 25814949
J Affect Disord. 2021 Feb 1;280(Pt A):211-218
pubmed: 33220556
Brain Res. 2018 Dec 1;1700:86-98
pubmed: 29981723
Brain Topogr. 2004 Summer;16(4):269-75
pubmed: 15379226
J Int Neuropsychol Soc. 2010 Mar;16(2):244-51
pubmed: 20003579
J Intern Med. 2014 Mar;275(3):214-28
pubmed: 24605806
Arch Neurol. 2005 Sep;62(9):1393-7
pubmed: 16157746
Neuropsychologia. 2000;38(4):426-40
pubmed: 10683393
Neuropsychologia. 2013 Apr;51(5):900-6
pubmed: 23391557
Cochrane Database Syst Rev. 2014 Jul 23;(7):CD010386
pubmed: 25052054
Clin Neurophysiol. 2017 Aug;128(8):1426-1437
pubmed: 28622527
Neuroimage. 2002 Jan;15(1):167-74
pubmed: 11771985
Front Aging Neurosci. 2013 Nov 20;5:79
pubmed: 24312051
J Alzheimers Dis. 2012;30(1):209-19
pubmed: 22391219
Neurobiol Aging. 2019 Dec;84:70-79
pubmed: 31518951
Biol Psychol. 2019 Sep;146:107725
pubmed: 31276756
CNS Neurosci Ther. 2021 Oct;27(10):1136-1145
pubmed: 34347358
Nature. 1993 Mar 25;362(6418):342-5
pubmed: 8455719
Psychophysiology. 2014 Feb;51(2):111-23
pubmed: 24423134
Clin Neurophysiol. 2020 Mar;131(3):766-777
pubmed: 31952914
CNS Neurosci Ther. 2020 Jan;26(1):117-125
pubmed: 31278861
Psychophysiology. 2015 Sep;52(9):1115-30
pubmed: 26096130
Med Biol Eng Comput. 1994 Jan;32(1):35-42
pubmed: 8182960
Front Aging Neurosci. 2018 Aug 21;10:256
pubmed: 30186155
Clin Neurophysiol. 2020 Jun;131(6):1287-1310
pubmed: 32302946
Aging (Albany NY). 2020 Dec 7;12(23):24101-24116
pubmed: 33289701
Eur J Neurosci. 2002 Oct;16(8):1627-32
pubmed: 12405977
Clin Neurophysiol. 2007 Dec;118(12):2544-90
pubmed: 17931964
Arch Neurol. 2001 Dec;58(12):1985-92
pubmed: 11735772
Int J Psychophysiol. 2013 Nov;90(2):165-71
pubmed: 23831479
Clin Neurophysiol. 2003 Jun;114(6):1133-43
pubmed: 12804682
Psychophysiology. 2011 Jan;48(1):4-22
pubmed: 20880261
PLoS One. 2020 Sep 28;15(9):e0239577
pubmed: 32986743
J Med Assoc Thai. 2010 Feb;93(2):224-30
pubmed: 20302005
Neurosci Lett. 2017 Apr 24;647:26-31
pubmed: 28336337
CNS Neurosci Ther. 2019 Feb;25(2):288-298
pubmed: 30648358
Hum Brain Mapp. 2014 Apr;35(4):1529-43
pubmed: 23670960
Neurosci Lett. 2013 Jun 7;544:20-4
pubmed: 23562510
Prev Vet Med. 2000 May 30;45(1-2):23-41
pubmed: 10802332
Brain Res. 2010 Jan 15;1310:113-23
pubmed: 19914219
Psychophysiology. 2001 Jul;38(4):723-7
pubmed: 11446587