Resting-state Functional Brain Connectivity in a Predominantly African-American Sample of Older Adults: Exploring Links Among Personality Traits, Cognitive Performance, and the Default Mode Network

Overview

Journal Personal Neurosci

Publisher Cambridge University Press

Date 2020 Jun 12

PMID 32524064

Citations 2

Authors

Nicole T Crane

Jessica M Hayes

Raymond P Viviano

Tim Bogg

Jessica S Damoiseaux

Affiliations

Soon will be listed here.

Abstract

The personality traits of neuroticism, openness, and conscientiousness are relevant factors for cognitive aging outcomes. The present study examined how these traits were associated with cognitive abilities and corresponding resting-state functional connectivity (RSFC) of the default mode network (DMN) in an older and predominantly minority sample. A sample of 58 cognitively unimpaired, largely African-American, older adults ( age = 68.28 ± 8.33) completed a standard RSFC magnetic resonance imaging sequence, a Big Five measure of personality, and delayed memory, Stroop, and verbal fluency tasks. Personality trait associations of within-network connectivity of the posterior cingulate cortex (PCC), a hub of the DMN, were examined using a seed-based approach. Trait scores were regressed on cognitive performance (delayed memory for neuroticism, Stroop for conscientiousness, and verbal fluency for openness). Greater openness predicted greater verbal fluency and greater RSFC between the PCC and eight clusters, including the medial prefrontal cortex, left middle frontal gyrus, and precuneus. Greater PCC-precuneus connectivity predicted greater verbal fluency. Neuroticism and conscientiousness did not significantly predict either cognitive performance or RSFC. Although requiring replication and elaboration, the results implicate openness as a contributing factor to cognitive aging via concomitant cognitive performance and connectivity within cortical hubs of the DMN and add to the sparse literature on these variables in a diverse group of older adults.

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References

Folstein M, Folstein S, McHugh P . "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3):189-98. DOI: 10.1016/0022-3956(75)90026-6. View

Sambataro F, Murty V, Callicott J, Tan H, Das S, Weinberger D . Age-related alterations in default mode network: impact on working memory performance. Neurobiol Aging. 2008; 31(5):839-52. PMC: 2842461. DOI: 10.1016/j.neurobiolaging.2008.05.022. View

Rhodes R, Courneya K, Jones L . Translating exercise intentions into behavior: personality and social cognitive correlates. J Health Psychol. 2009; 8(4):447-58. DOI: 10.1177/13591053030084004. View

Bogg T, Vo P . Openness, neuroticism, conscientiousness, and family health and aging concerns interact in the prediction of health-related Internet searches in a representative U.S. sample. Front Psychol. 2014; 5:370. PMC: 4010796. DOI: 10.3389/fpsyg.2014.00370. View

Chapman B, Duberstein P, Tindle H, Sink K, Robbins J, Tancredi D . Personality predicts cognitive function over 7 years in older persons. Am J Geriatr Psychiatry. 2012; 20(7):612-21. PMC: 3384996. DOI: 10.1097/JGP.0b013e31822cc9cb. View

Fox M, Snyder A, Vincent J, Corbetta M, Van Essen D, Raichle M . The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci U S A. 2005; 102(27):9673-8. PMC: 1157105. DOI: 10.1073/pnas.0504136102. View

DuBois J, Galdi P, Han Y, Paul L, Adolphs R . Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. Personal Neurosci. 2018; 1. PMC: 6138449. DOI: 10.1017/pen.2018.8. View

Jenkinson M, Bannister P, Brady M, Smith S . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002; 17(2):825-41. DOI: 10.1016/s1053-8119(02)91132-8. View

Pruim R, Mennes M, van Rooij D, Llera A, Buitelaar J, Beckmann C . ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. Neuroimage. 2015; 112:267-277. DOI: 10.1016/j.neuroimage.2015.02.064. View

10.

Ayotte B, Potter G, Williams H, Steffens D, Bosworth H . The moderating role of personality factors in the relationship between depression and neuropsychological functioning among older adults. Int J Geriatr Psychiatry. 2009; 24(9):1010-9. PMC: 2730210. DOI: 10.1002/gps.2213. View

11.

Binnewijzend M, Schoonheim M, Sanz-Arigita E, Wink A, van der Flier W, Tolboom N . Resting-state fMRI changes in Alzheimer's disease and mild cognitive impairment. Neurobiol Aging. 2011; 33(9):2018-28. DOI: 10.1016/j.neurobiolaging.2011.07.003. View

12.

Andrews-Hanna J, Snyder A, Vincent J, Lustig C, Head D, Raichle M . Disruption of large-scale brain systems in advanced aging. Neuron. 2007; 56(5):924-35. PMC: 2709284. DOI: 10.1016/j.neuron.2007.10.038. View

13.

Luchetti M, Terracciano A, Stephan Y, Sutin A . Personality and Cognitive Decline in Older Adults: Data From a Longitudinal Sample and Meta-Analysis. J Gerontol B Psychol Sci Soc Sci. 2015; 71(4):591-601. PMC: 4903032. DOI: 10.1093/geronb/gbu184. View

14.

Adelstein J, Shehzad Z, Mennes M, DeYoung C, Zuo X, Kelly C . Personality is reflected in the brain's intrinsic functional architecture. PLoS One. 2011; 6(11):e27633. PMC: 3227579. DOI: 10.1371/journal.pone.0027633. View

15.

Jones D, Knopman D, Gunter J, Graff-Radford J, Vemuri P, Boeve B . Cascading network failure across the Alzheimer's disease spectrum. Brain. 2015; 139(Pt 2):547-62. PMC: 4805086. DOI: 10.1093/brain/awv338. View

16.

Wright C, Feczko E, Dickerson B, Williams D . Neuroanatomical correlates of personality in the elderly. Neuroimage. 2007; 35(1):263-72. PMC: 1868480. DOI: 10.1016/j.neuroimage.2006.11.039. View

17.

Damoiseaux J, Beckmann C, Arigita E, Barkhof F, Scheltens P, Stam C . Reduced resting-state brain activity in the "default network" in normal aging. Cereb Cortex. 2007; 18(8):1856-64. DOI: 10.1093/cercor/bhm207. View

18.

Beaty R, Kaufman S, Benedek M, Jung R, Kenett Y, Jauk E . Personality and complex brain networks: The role of openness to experience in default network efficiency. Hum Brain Mapp. 2015; 37(2):773-9. PMC: 4738373. DOI: 10.1002/hbm.23065. View

19.

Winkler A, Ridgway G, Webster M, Smith S, Nichols T . Permutation inference for the general linear model. Neuroimage. 2014; 92:381-97. PMC: 4010955. DOI: 10.1016/j.neuroimage.2014.01.060. View

20.

Damoiseaux J, Prater K, Miller B, Greicius M . Functional connectivity tracks clinical deterioration in Alzheimer's disease. Neurobiol Aging. 2011; 33(4):828.e19-30. PMC: 3218226. DOI: 10.1016/j.neurobiolaging.2011.06.024. View