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Background: The motoric cognitive risk (MCR) syndrome is a pre-clinical stage of dementia characterized by slow gait and cognitive complaint. Yet, the brain substrates of MCR are not well established.

Objective: To examine cortical thickness, volume, and surface area associated with MCR in the MCR-Neuroimaging Consortium, which harmonizes image processing/analysis of multiple cohorts.

Methods: Two-hundred MRIs (M age 72.62 years; 47.74%female; 33.17%MCR) from four different cohorts (50 each) were first processed with FreeSurfer 6.0, and then analyzed using multivariate and univariate general linear models with 1,000 bootstrapped samples (n-1; with resampling). All models adjusted for age, sex, education, white matter lesions, total intracranial volume, and study site.

Results: Overall, cortical thickness was lower in individuals with MCR than in those without MCR. There was a trend in the same direction for cortical volume (p = 0.051). Regional cortical thickness was also lower among individuals with MCR than individuals without MCR in prefrontal, insular, temporal, and parietal regions.

Conclusion: Cortical atrophy in MCR is pervasive, and include regions previously associated with human locomotion, but also social, cognitive, affective, and motor functions. Cortical atrophy in MCR is easier to detect in cortical thickness than volume and surface area because thickness is more affected by healthy and pathological aging.

Titel:	Cortical Thickness, Volume, and Surface Area in the Motoric Cognitive Risk Syndrome.
Autor/in / Beteiligte Person:	Blumen, HM ; Schwartz, E ; Allali, G ; Beauchet, O ; Callisaya, M ; Doi, T ; Shimada, H ; Srikanth, V ; Verghese, J
Zeitschrift:	Journal of Alzheimer's disease : JAD, Jg. 81 (2021), Heft 2, S. 651-665
Veröffentlichung:	Amsterdam ; Washington : IOS Press, c1998-, 2021
Medientyp:	academicJournal
ISSN:	1875-8908 (electronic)
DOI:	10.3233/JAD-201576
Schlagwort:	Aged Aged, 80 and over Cognition physiology Cognition Disorders diagnosis Dementia diagnosis Female Gait physiology Humans Male Middle Aged Neuropsychological Tests Risk Factors Aging psychology Cognition Disorders physiopathology Cognitive Dysfunction physiopathology Dementia physiopathology Walking Speed physiology
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Research Support, N.I.H., Extramural Language: English [J Alzheimers Dis] 2021; Vol. 81 (2), pp. 651-665. MeSH Terms: Aging / psychology ; Cognition Disorders / physiopathology ; Cognitive Dysfunction / physiopathology ; Dementia / physiopathology ; Walking Speed / *physiology ; Aged ; Aged, 80 and over ; Cognition / physiology ; Cognition Disorders / diagnosis ; Dementia / diagnosis ; Female ; Gait / physiology ; Humans ; Male ; Middle Aged ; Neuropsychological Tests ; Risk Factors References: Front Hum Neurosci. 2013 May 29;7:232. (PMID: 23755001) ; Neurobiol Aging. 2017 Oct;58:238.e1-238.e8. (PMID: 28705468) ; Neurology. 2005 Aug 23;65(4):559-64. (PMID: 16116116) ; Neurobiol Aging. 2012 Mar;33(3):617.e1-9. (PMID: 20739099) ; J Neuroimaging Psychiatry Neurol. 2016;1(2):73-78. (PMID: 28630950) ; Neuroimage. 1999 Feb;9(2):179-94. (PMID: 9931268) ; Neuroimage Clin. 2016 May 30;11:802-812. (PMID: 28050342) ; J Neuropathol Exp Neurol. 2008 Dec;67(12):1205-12. (PMID: 19018241) ; Cereb Cortex. 2004 Jul;14(7):721-30. (PMID: 15054051) ; Neurobiol Aging. 2012 Jun;33(6):1073-84. (PMID: 21051105) ; Neuroimage. 2015 Jan 1;104:21-34. (PMID: 25284304) ; J Alzheimers Dis. 2016 Jun 18;53(3):1043-52. (PMID: 27340851) ; Alzheimers Dement. 2016 May;12(5):556-64. (PMID: 26545790) ; Neurology. 2019 Mar 26;92(13):e1427-e1434. (PMID: 30737336) ; Neuroimage. 2010 May 1;50(4):1589-98. (PMID: 20034578) ; Cereb Cortex. 2009 Nov;19(11):2728-35. (PMID: 19299253) ; Ann Neurol. 2010 Feb;67(2):265-9. (PMID: 20225293) ; J Gerontol A Biol Sci Med Sci. 2016 Aug;71(8):1081-8. (PMID: 26946101) ; Science. 2020 Mar 20;367(6484):. (PMID: 32193296) ; Cereb Cortex. 1997 Apr-May;7(3):268-82. (PMID: 9143446) ; PLoS One. 2014 Jan 08;9(1):e84909. (PMID: 24416309) ; Neuroimage. 2006 Feb 15;29(4):1031-9. (PMID: 16253521) ; J Gerontol A Biol Sci Med Sci. 2013 Nov;68(11):1379-86. (PMID: 23843270) ; Neuroimage. 2015 Mar;108:95-109. (PMID: 25534113) ; J Am Med Dir Assoc. 2015 Dec;16(12):1103.e21-5. (PMID: 26476498) ; J Gerontol A Biol Sci Med Sci. 2013 Apr;68(4):412-8. (PMID: 22987797) ; Brain Imaging Behav. 2019 Oct;13(5):1281-1291. (PMID: 30145718) ; Stroke. 2001 Jun;32(6):1318-22. (PMID: 11387493) ; Neuropsychology. 2008 Sep;22(5):626-37. (PMID: 18763882) ; J Gerontol A Biol Sci Med Sci. 2019 May 16;74(6):884-889. (PMID: 29985983) ; J Neuroimaging. 2018 Sep;28(5):515-523. (PMID: 29766613) ; Neurobiol Aging. 2009 Mar;30(3):420-31. (PMID: 17850926) ; J Alzheimers Dis. 2018;64(3):875-887. (PMID: 29966199) ; Geriatr Gerontol Int. 2016 Apr;16(4):508-14. (PMID: 25953032) ; Front Public Health. 2016 May 25;4:94. (PMID: 27252937) ; Neurology. 2014 Aug 19;83(8):718-26. (PMID: 25031288) ; Neuropsychologia. 2015 Aug;75:163-9. (PMID: 26049091) ; Neurology. 2014 Dec 9;83(24):2278-84. (PMID: 25361778) ; Neuroimage. 2006 Jul 1;31(3):968-80. (PMID: 16530430) ; IEEE Rev Biomed Eng. 2018;11:97-111. (PMID: 29994606) ; Brain Imaging Behav. 2017 Jun;11(3):887-898. (PMID: 27392792) ; Front Neurosci. 2015 Oct 21;9:379. (PMID: 26539075) ; Neuroimage. 2010 Nov 15;53(3):1135-46. (PMID: 20006715) ; Neurology. 2009 Jun 2;72(22):1906-13. (PMID: 19487648) ; Hum Brain Mapp. 2015 Sep;36(9):3472-85. (PMID: 26033168) ; Cereb Cortex. 2004 Jan;14(1):11-22. (PMID: 14654453) ; Soc Neurosci. 2007;2(2):117-33. (PMID: 18633811) ; Brain. 2016 Apr;139(Pt 4):1164-79. (PMID: 26912649) ; Alzheimers Dement. 2019 Jul;15(7):870-877. (PMID: 31164315) ; J Psychiatr Res. 1982-1983;17(1):37-49. (PMID: 7183759) ; J Alzheimers Dis. 2015;50(3):699-707. (PMID: 26757037) ; J Nutr Health Aging. 2013 Mar;17(3):235-9. (PMID: 23459976) ; Brain Struct Funct. 2010 Jun;214(5-6):655-67. (PMID: 20512370) ; Neuroimage. 2009 Nov 1;48(2):371-80. (PMID: 19559801) ; J Clin Neurophysiol. 2017 Jul;34(4):300-306. (PMID: 28644199) ; Cereb Cortex. 1998 Jun;8(4):295-300. (PMID: 9651126) ; Neurobiol Aging. 2009 Mar;30(3):432-40. (PMID: 17869384) ; Hum Brain Mapp. 2014 Aug;35(8):4090-104. (PMID: 24522972) ; J Neurosci. 2014 Jun 18;34(25):8488-98. (PMID: 24948804) ; Psychol Bull. 1996 Sep;120(2):272-92. (PMID: 8831298) ; Alzheimers Dement (Amst). 2015 Dec 11;1(4):487-504. (PMID: 27239527) ; J Gerontol A Biol Sci Med Sci. 2014 Aug;69(8):980-6. (PMID: 24285744) ; J Clin Epidemiol. 2014 Aug;67(8):850-7. (PMID: 24831050) ; Neuroimage. 1999 Feb;9(2):195-207. (PMID: 9931269) Grant Information: R01 AG057548 United States AG NIA NIH HHS; R56 AG057548 United States AG NIA NIH HHS Contributed Indexing: Keywords: Cognitive complaint; cortical thickness; gait; motoric cognitive risk Entry Date(s): Date Created: 20210419 Date Completed: 20210906 Latest Revision: 20220120 Update Code: 20231215 PubMed Central ID: PMC8768501

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Cortical Thickness, Volume, and Surface Area in the Motoric Cognitive Risk Syndrome.