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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

  • Nicole T. Crane (a1) (a2), Jessica M. Hayes (a1) (a3), Raymond P. Viviano (a1) (a3), Tim Bogg (a3) and Jessica S. Damoiseaux (a1) (a3)...

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 (M 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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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

Author for correspondence: Jessica S. Damoiseaux, Email: damoiseaux@wayne.edu

References

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Adelstein, J. S., Shehzad, Z., Mennes, M., DeYoung, C. G., Zuo, X. N., Kelly, C., … Milham, M. P. (2011). Personality is reflected in the brain’s intrinsic functional architecture. PLoS ONE, 6, e27633. https://doi.org/10.1371/journal.pone.0027633.
Aghajani, M., Veer, I. M., Van Tol, M. J., Aleman, A., Van Buchem, M. A., Veltman, D. J., … van der Wee, N. J. (2014). Neuroticism and extraversion are associated with amygdala resting-state functional connectivity. Cognitive, Affective, & Behavioral Neuroscience, 14, 836848. https://doi.org/10.3758/s13415-013-0224-0.
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007). Disruption of large-scale brain systems in advanced aging. Neuron, 56, 924935. https://doi.org/10.1016/j.neuron.2007.10.038.
Ayotte, B. J., Potter, G. G., Williams, H. T., Steffens, D. C., & Bosworth, H. B. (2009). The moderating role of personality factors in the relationship between depression and neuropsychological functioning among older adults. International Journal of Geriatric Psychiatry: A Journal of the Psychiatry of Late Life and Allied Sciences, 24, 10101019. https://doi.org/10.1002/gps.2213.
Beaty, R. E., Kaufman, S. B., Benedek, M., Jung, R. E., Kenett, Y. N., Jauk, E., … Silvia, P. J. (2016). Personality and complex brain networks: The role of openness to experience in default network efficiency. Human Brain Mapping, 37, 773779. https://doi.org/10.1002/hbm.23065.
Binnewijzend, M. A., Schoonheim, M. M., Sanz-Arigita, E., Wink, A. M., van der Flier, W. M., Tolboom, N., … Barkhof, F. (2012). Resting-state fMRI changes in Alzheimer’s disease and mild cognitive impairment. Neurobiology of Aging, 33, 20182028. https://doi.org/10.1016/j.neurobiolaging.2011.07.003.
Bogg, T., & Vo, P. T. (2014). Openness, neuroticism, conscientiousness, and family health and aging concerns interact in the prediction of health-related internet searches in a representative US sample. Frontiers in Psychology, 5, 370. https://doi.org/10.3389/fpsyg.2014.00370.
Chapman, B., Duberstein, P., Tindle, H. A., Sink, K. M., Robbins, J., Tancredi, D. J., … Gingko Evaluation of Memory Study Investigators. (2012). Personality predicts cognitive function over 7 years in older persons. The American Journal of Geriatric Psychiatry, 20, 612621. https://doi.org/10.1097/JGP.0b013e31822cc9cb.
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. S., Barkhof, F., Scheltens, P., Stam, C. J., … Rombouts, S. A. R. B. (2007). Reduced resting-state brain activity in the “default network” in normal aging. Cerebral Cortex, 18, 18561864. https://doi.org/10.1093/cercor/bhm207.
Damoiseaux, J. S., Prater, K. E., Miller, B. L., & Greicius, M. D. (2012). Functional connectivity tracks clinical deterioration in Alzheimer’s disease. Neurobiology of Aging, 33, 828.e19828.e30. https://doi.org/10.1016/j.neurobiolaging.2011.06.024.
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006). Consistent resting-state networks across healthy subjects. Proceedings of the National Academy of Sciences, 103, 1384813853. https://doi.org/10.1073/pnas.0601417103.
DeYoung, C. G., Grazioplene, R. G., & Peterson, J. B. (2012). From madness to genius: The Openness/Intellect trait domain as a paradoxical simplex. Journal of Research in Personality, 46, 6378. https://doi.org/10.1016/j.jrp.2011.12.003.
Dubois, J., Galdi, P., Han, Y., Paul, L. K., & Adolphs, R. (2018). Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. Personality Neuroscience, 1, E6. https://doi.org/10.1017/pen.2018.8.
Falk, E. B., Hyde, L. W., Mitchell, C., Faul, J., Gonzalez, R., Heitzeg, M. M., … Morrison, F. J. (2013). What is a representative brain? Neuroscience meets population science. Proceedings of the National Academy of Sciences, 110, 1761517622. https://doi.org/10.1073/pnas.1310134110.
Folstein, M. F., Folstein, S. E., & Mchugh, P. R. (1975). “Mini-mental state”: A practical method for grading cognitive state of patients for clinician. Journal of Psychiatric Research, 12, 189198. https://doi.org/10.1016/0022-3956(75)90026-6.
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102, 96739678. https://doi.org/10.1073/pnas.0504136102.
Gili, T., Cercignani, M., Serra, L., Perri, R., Giove, F., Maraviglia, B., … Bozzali, M. (2011). Regional brain atrophy and functional disconnection across Alzheimer’s disease evolution. Journal of Neurology, Neurosurgery & Psychiatry, 82, 5866. https://doi.org/10.1136/jnnp.2009.199935.
Graham, E. K., & Lachman, M. E. (2014). Personality traits, facets and cognitive performance: Age differences in their relations. Personality and Individual Differences, 59, 8995. https://doi.org/10.1016/j.paid.2013.11.011.
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003). Functional connectivity in the resting brain: A network analysis of the default mode hypothesis. Proceedings of the National Academy of Sciences, 100, 253258. https://doi.org/10.1073/pnas.0135058100.
Hedden, T., Van Dijk, K. R., Becker, J. A., Mehta, A., Sperling, R. A., Johnson, K. A., & Buckner, R. L. (2009). Disruption of functional connectivity in clinically normal older adults harboring amyloid burden. Journal of Neuroscience, 29, 1268612694. https://doi.org/10.1523/JNEUROSCI.3189-09.2009.
Hsu, W. T., Rosenberg, M. D., Scheinost, D., Constable, R. T., & Chun, M. M. (2018). Resting state functional connectivity predicts neuroticism and extraversion in novel individuals. Social Cognitive and Affective Neuroscience, 13, 224232. https://doi.org/10.1093/scan/nsy002.
Jackson, J., Balota, D. A., & Head, D. (2011). Exploring the relationship between personality and regional brain volume in healthy aging. Neurobiology of Aging, 32, 21622171. https://doi.org/10.1016/j.neurobiolaging.2009.12.009.
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage, 17, 825841. https://doi.org/10.1006/nimg.2002.1132.
Jenkinson, M., Beckmann, C. F., Behrens, T. E., Woolrich, M. W., & Smith, S. M. (2012). FSL. Neuroimage, 62, 782790. https://doi.org/10.1016/j.neuroimage.2011.09.015.
Jenkinson, M., & Smith, S. (2001). A global optimisation method for robust affine registration of brain images. Medical Image Analysis, 5, 143156. https://doi.org/10.1016/S1361-8415(01)00036-6.
John, O. P., Naumann, L. P., & Soto, C. J. (2008) Paradigm shift to the integrative big five trait taxonomy. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (3rd ed., pp. 114–158). New York: Guilford Press.
John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102–138). New York: Guilford Press.
Jones, D. T., Knopman, D. S., Gunter, J. L., Graff-Radford, J., Vemuri, P., Boeve, B. F., … Jack, C. R. Jr (2015). Cascading network failure across the Alzheimer’s disease spectrum. Brain, 139, 547562. https://doi.org/10.1093/brain/awv338.
Kapogiannis, D., Sutin, A., Davatzikos, C., CostaJr, P., & Resnick, S. (2013). The five factors of personality and regional cortical variability in the Baltimore longitudinal study of aging. Human Brain Mapping, 34, 28292840. https://doi.org/10.1002/hbm.22108.
Kunisato, Y., Okamoto, Y., Okada, G., Aoyama, S., Nishiyama, Y., Onoda, K., & Yamawaki, S. (2011). Personality traits and the amplitude of spontaneous low-frequency oscillations during resting state. Neuroscience Letters, 492, 109113. https://doi.org/10.1016/j.neulet.2011.01.067.
Kumar, S., Yadava, A., & Sharma, N. R. (2016). Exploring the relations between executive functions and personality. The International Journal of Indian Psychology, 3, 161171.
Kuzma, E., Sattler, C., Toro, P., Schönknecht, P., & Schröder, J. (2011). Premorbid personality traits and their course in mild cognitive impairment: Results from a prospective population-based study in Germany. Dementia and Geriatric Cognitive Disorders, 32, 171177. https://doi.org/10.1159/000332082.
Liu, W., Kohn, N., & Fernández, G. (2019). Intersubject similarity of personality is associated with intersubject similarity of brain connectivity patterns. NeuroImage, 186, 5669. https://doi.org/10.1016/j.neuroimage.2018.10.062.
Luchetti, M., Terrcciano, A., Stephan, Y., & Sutin, A. R. (2015). Personality and cognitive decline in older adults: Data from a longitudinal sample and meta-analysis. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 71, 591601. https://doi.org/10.1093/geronb/gbu184.
McCrae, R. R., & Costa, P. T. (1997). Conceptions and correlates of openness to experience. In R. Hogan, J. Johnson, & S. Briggs (Eds.), Handbook of personality psychology (pp. 825847). Orlando, FL: Academic Press.
Pruim, R. H. R., Mennes, M., van Rooij, D., Llera, A., Buitelaar, J. K., & Beckmann, C. F. (2015). ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. Neuroimage, 112, 267277. https://doi.org/10.1016/j.neuroimage.2015.02.064.
Rhodes, R. E., Courneya, K. S., & Jones, L. W. (2003). Translating exercise intentions into behavior: Personality and social cognitive correlates. Journal of Health Psychology, 8, 447458. https://doi.org/10.1177/13591053030084004.
Rombouts, S. A., Barkhof, F., Goekoop, R., Stam, C. J., & Scheltens, P. (2005). Altered resting state networks in mild cognitive impairment and mild Alzheimer’s disease: An fMRI study. Human Brain Mapping, 26, 231239. https://doi.org/10.1002/hbm.20160.
Sambataro, F., Murty, V. P., Callicott, J. H., Tan, H. Y., Das, S., Weinberger, D. R., & Mattay, V. S. (2010). Age-related alterations in default mode network: Impact on working memory performance. Neurobiology of Aging, 31, 839852. https://doi.org/10.1016/j.neurobiolaging.2008.05.022.
Sampaio, A., Soares, J. M., Coutinho, J., Sousa, N., & Gonçalves, Ó. F. (2014). The Big Five default brain: Functional evidence. Brain Structure and Function, 219, 19131922. https://doi.org/10.1007/s00429-013-0610-y.
Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17, 143155. https://doi.org/10.1002/hbm.10062.
Sneed, C. D., McCrae, R. R., & Funder, D. C. (1998). Lay conceptions of the five-factor model and its indicators. Personality and Social Psychology Bulletin, 24, 115126. https://doi.org/10.1177/0146167298242001.
Soto, C. J., & John, O. P. (2009). Ten facet scales for the Big Five Inventory: Convergence with NEO PI-R facets, self-peer agreement, and discriminant validity. Journal of Research in Personality, 43, 8490. https://doi.org/10.1016/j.jrp.2008.10.002.
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643662. https://doi.org/10.1037/h0054651.
Sutin, A. R., Terracciano, A., Kitner-Triolo, M. H., Uda, M., Schlessinger, D., & Zonderman, A. B. (2011). Personality traits prospectively predict verbal fluency in a lifespan sample. Psychology and Aging, 26, 994999. https://doi.org/10.1037/a0024276.
Terracciano, A., Sutin, A. R., An, Y., O’Brien, R. J., Ferrucci, L., Zonderman, A. B., & Resnick, S. M. (2014). Personality and risk of Alzheimer’s disease: New data and meta- analysis. Alzheimer’s & Dementia, 10, 179186. https://doi.org/10.1016/j.jalz.2013.03.002.
Viviano, R. P., Hayes, J. M., Pruitt, P. J., Fernandez, Z. J., van Rooden, S., van der Grond, J., … Damoiseaux, J. S. (2019). Aberrant memory system connectivity and working memory performance in subjective cognitive decline. NeuroImage, 185, 556564. https://doi.org/10.1016/j.neuroimage.2018.10.015.
Wechsler, D. (2009). Wechsler memory scale - fourth edition (WMS-IV). San Antonio, TX: Pearson.
Wechsler, D. (2011). Wechsler abbreviated scale of intelligence -second edition (WASI-II). San Antonio, TX: Pearson.
Wierenga, C. E., & Bondi, M. W. (2007). Use of functional magnetic resonance imaging in the early identification of Alzheimer’s disease. Neuropsychology Review, 17, 127143. https://doi.org/10.1007/s11065-007-9025-y.
Wilson, K. E., & Dishman, R. K. (2015). Personality and physical activity: A systematic review and meta-analysis. Personality and Individual Differences, 72, 230242. https://doi.org/10.1016/j.paid.2014.08.023.
Wilson, R. S., Schneider, J. A., Arnold, S. E., Bienias, J. L., & Bennett, D. A. (2007). Conscientiousness and the incidence of Alzheimer disease and mild cognitive impairment. Archives of General Psychiatry, 64, 12041212. https://doi.org/10.1001/archpsyc.64.10.1204.
Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014). Permutation inference for the general linear model. Neuroimage, 92, 381397. https://doi.org/10.1016/j.neuroimage.2014.01.060.
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001). Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage, 14, 13701386. https://doi.org/10.1006/nimg.2001.0931.
Wright, C. I., Feczko, E., Dickerson, B., & Williams, D. (2007). Neuroanatomical correlates of personality in the elderly. Neuroimage, 35, 263272. https://doi.org/10.1016/j.neuroimage.2006.11.039.
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Keywords

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

  • Nicole T. Crane (a1) (a2), Jessica M. Hayes (a1) (a3), Raymond P. Viviano (a1) (a3), Tim Bogg (a3) and Jessica S. Damoiseaux (a1) (a3)...

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