Brain Structural-Behavioral Correlates Underlying Grooved Pegboard Test Performance Across Lifespan

References

• Andersson, J. L. R., & Sotiropoulos, S. N. (2016). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage, 125, 1063–1078. https://doi.org/10.1016/j.neuroimage.2015.10.019
   PubMed Web of Science ®Google Scholar
• Andersson, J. L. R., Skare, S., & Ashburner, J. (2003). How to correct susceptibility distortions in spin-echo echo-planar images: Application to diffusion tensor imaging. NeuroImage, 20(2), 870–888. https://doi.org/10.1016/S1053-8119(03)00336-7
   PubMed Web of Science ®Google Scholar
• Arbuthnott, K., & Frank, J. (2000). Trail Making Test, Part B as a measure of executive control: Validation using a set-switching paradigm. Journal of Clinical and Experimental Neuropsychology, 22(4), 518–528. https://doi.org/10.1076/1380-3395(200008)22:4;1-0;FT518
   PubMed Web of Science ®Google Scholar
• Ardila, A., Ostrosky-Solis, F., Rosselli, M., & Gómez, C. (2000). Age-related cognitive decline during normal aging: The complex effect of education. Archives of Clinical Neuropsychology, 15(6), 495–513. https://doi.org/10.1016/S0887-6177(99)00040-2
   PubMed Web of Science ®Google Scholar
• Ashendorf, L., Vanderslice-Barr, J. L., & McCaffrey, R. J. (2009). Motor tests and cognition in healthy older adults. Applied Neuropsychology, 16(3), 171–176. https://doi.org/10.1080/09084280903098562
   PubMed Web of Science ®Google Scholar
• Band, G. P. H., van der Molen, M. W., & Logan, G. D. (2003). Horse-race model simulations of the stop-signal procedure. Acta Psychologica, 112(2), 105–142. https://doi.org/10.1016/S0001-6918(02)00079-3
   PubMed Web of Science ®Google Scholar
• Beck, A. T., Steer, R. A., Ball, R., & Ranieri, W. F. (1996). Comparison of Beck depression inventories -IA and -II in psychiatric outpatients. Journal of Personality Assessment, 67(3), 588–597. https://doi.org/10.1207/s15327752jpa6703_13
   PubMed Web of Science ®Google Scholar
• Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic Resonance in Medicine, 50(5), 1077–1088. https://doi.org/10.1002/mrm.10609
   PubMed Web of Science ®Google Scholar
• Bezdicek, O., Nikolai, T., Hoskovcová, M., Štochl, J., Brožová, H., Dušek, P., Zárubová, K., Jech, R., & Růžička, E. (2014). Grooved pegboard predicates more of cognitive than motor involvement in Parkinson’s disease. Assessment, 21(6), 495–730. https://doi.org/10.1177/1073191114524271
   Web of Science ®Google Scholar
• Bishop, N. A., Lu, T., & Yankner, B. A. (2010). Neural mechanisms of ageing and cognitive decline. Nature, 464(7288), 529–535. https://doi.org/10.1038/nature08983
   PubMed Web of Science ®Google Scholar
• Boogert, N. J., Madden, J. R., Morand-Ferron, J., & Thornton, A. (2018). Measuring and understanding individual differences in cognition. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1756), 20170280. https://doi.org/10.1098/rstb.2017.0280
   Web of Science ®Google Scholar
• Bowie, C. R., & Harvey, P. D. (2006). Administration and interpretation of the Trail Making Test. Nature Protocols, 1(5), 2277–2281. https://doi.org/10.1038/nprot.2006.390
   PubMed Web of Science ®Google Scholar
• Brown, T. T. (2017). Individual differences in human brain development. Wiley Interdisciplinary Reviews: Cognitive Science, 8(1–2), e1389. https://doi.org/10.1002/wcs.1389
   PubMed Web of Science ®Google Scholar
• Buckner, R. L. (2004). Memory and executive function in aging and ad: Multiple factors that cause decline and reserve factors that compensate. Neuron, 44, 195–208. https://doi.org/10.1016/j.neuron.2004.09.006
   PubMed Web of Science ®Google Scholar
• Burzynska, A. Z., Preuschhof, C., Bäckman, L., Nyberg, L., Li, S. C., Lindenberger, U., & Heekeren, H. R. (2010). Age-related differences in white matter microstructure: Region-specific patterns of diffusivity. NeuroImage, 49(3), 2104–2112. https://doi.org/10.1016/j.neuroimage.2009.09.041
   PubMed Web of Science ®Google Scholar
• Camilleri, J. A., Reid, A. T., Müller, V. I., Grefkes, C., Amunts, K., & Eickhoff, S. B. (2015). Multi-modal imaging of neural correlates of motor speed performance in the Trail Making Test. Frontiers in Neurology, 6, 219. https://doi.org/10.3389/fneur.2015.00219
   PubMed Web of Science ®Google Scholar
• Dale, A. M., Fischl, B., & Sereno, M. I. (1999). Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage, 9(2), 179–194. https://doi.org/10.1006/nimg.1998.0395
   PubMed Web of Science ®Google Scholar
• Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., Albert, M. S., & Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31(3), 968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021
   PubMed Web of Science ®Google Scholar
• Fischl, B., Van Der Kouwe, A., Destrieux, C., Halgren, E., Ségonne, F., Salat, D. H., Busa, E., Seidman, L. J., Goldstein, J., Kennedy, D., Cavibess, V., Makris, N., Rosen, B., & Dale, A. M. (2004). Automatically parcellating the human cerebral cortex. Cerebral Cortex, 14(1), 11–22. https://doi.org/10.1093/cercor/bhg087
   PubMed Web of Science ®Google Scholar
• Fjell, A. M., Sneve, M. H., Grydeland, H., Storsve, A. B., & Walhovd, K. B. (2017). The disconnected brain and executive function decline in aging. Cerebral Cortex (New York, N.Y.: 1991), 27(3), 2303–2317. https://doi.org/10.1093/cercor/bhw082
   PubMed Web of Science ®Google Scholar
• Fujiyama, H., Van Soom, J., Rens, G., Gooijers, J., Leunissen, I., Levin, O., & Swinnen, S. P. (2016). Age-related changes in frontal network structural and functional connectivity in relation to bimanual movement control. Journal of Neuroscience, 36(6), 1808–1822. https://doi.org/10.1523/JNEUROSCI.3355-15.2016
   PubMed Web of Science ®Google Scholar
• Giorgio, A., Santelli, L., Tomassini, V., Bosnell, R., Smith, S., De Stefano, N., & Johansen-Berg, H. (2010). Age-related changes in grey and white matter structure throughout adulthood. NeuroImage, 51(3), 943–951. https://doi.org/10.1016/j.neuroimage.2010.03.004
   PubMed Web of Science ®Google Scholar
• Gonzalez, C. L. R., Mills, K. J., Genee, I., Li, F., Piquette, N., Rosen, N., & Gibb, R. (2014). Getting the right grasp on executive function. Frontiers in Psychology 5, 285. https://doi.org/10.3389/fpsyg.2014.00285
   PubMed Web of Science ®Google Scholar
• Hoops, S., Nazem, S., Siderowf, A. D., Duda, J. E., Xie, S. X., Stern, M. B., & Weintraub, D. (2009). Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease. Neurology, 73(21), 1738–1745. https://doi.org/10.1212/WNL.0b013e3181c34b47
   PubMed Web of Science ®Google Scholar
• Hua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D. S., Calabresi, P. A., Pekar, J. J., van Zijl, P. C. M., & Mori, S. (2008). Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification. NeuroImage, 39(1), 336–347. https://doi.org/10.1016/j.neuroimage.2007.07.053
   PubMed Web of Science ®Google Scholar
• Huang, S. L., Hsieh, C. L., Wu, R. M., & Lu, W. S. (2017). Test-retest reliability and minimal detectable change of the Beck Depression Inventory and the Taiwan Geriatric Depression Scale in patients with Parkinson's disease. PLoS One, 12(9), e0184823. https://doi.org/10.1371/journal.pone.0184823
   PubMed Web of Science ®Google Scholar
• Kobayashi-Cuya, K. E., Sakurai, R., Sakuma, N., Suzuki, H., Yasunaga, M., Ogawa, S., Takebayashi, T., & Fujiwara, Y. (2018). Correction to: Hand dexterity, not handgrip strength, is associated with executive function in Japanese community-dwelling older adults: A cross-sectional study. BMC Geriatrics, 18(1), 210. https://doi.org/10.1186/s12877-018-0907-z
   PubMed Web of Science ®Google Scholar
• Koini, M., Duering, M., Gesierich, B. G., Rombouts, S. A. R. B., Ropele, S., Wagner, F., Enzinger, C., & Schmidt, R. (2018). Grey-matter network disintegration as predictor of cognitive and motor function with aging. Brain Structure and Function, 223(5), 2475–2487. https://doi.org/10.1007/s00429-018-1642-0
   PubMed Web of Science ®Google Scholar
• Kortte, K. B., Horner, M. D., & Windham, W. K. (2002). The Trail Making Test, Part B: Cognitive flexibility or ability to maintain set? Applied Neuropsychology, 9(2), 106–109. https://doi.org/10.1207/S15324826AN0902_5
   PubMedGoogle Scholar
• Leversen, J. S. R., Haga, M., & Sigmundsson, H. (2012). From children to adults: Motor performance across the life-span. PLoS One, 7(6), e38830. https://doi.org/10.1371/journal.pone.0038830
   PubMed Web of Science ®Google Scholar
• Logan, G. D., Van Zandt, T., Verbruggen, F., & Wagenmakers, E. J. (2014). On the ability to inhibit thought and action: General and special theories of an act of control. Psychological Review, 121(1), 66–95. https://doi.org/10.1037/a0035230
   PubMed Web of Science ®Google Scholar
• Lorås, H., Stensdotter, A. K., Öhberg, F., & Sigmundsson, H. (2013). Individual differences in motor timing and its relation to cognitive and fine motor skills. PLoS One, 8(7), e69353. https://doi.org/10.1371/journal.pone.0069353
   PubMed Web of Science ®Google Scholar
• Malek-Ahmadi, M., Powell, J. J., Belden, C. M., Oconnor, K., Evans, L., Coon, D. W., & Nieri, W. (2015). Age- and education-adjusted normative data for the Montreal Cognitive Assessment (MoCA) in older adults age 70-99. Neuropsychology, Development and Cognition B Aging, Neuropsychology, and Cognition, 22(6), 755–761. https://doi.org/10.1080/13825585.2015.1041449
   PubMed Web of Science ®Google Scholar
• Maruta, J., Spielman, L. A., Rajashekar, U., & Ghajar, J. (2017). Visual tracking in development and aging. Frontiers in Neurology, 8, 640. https://doi.org/10.3389/fneur.2017.00640
   PubMed Web of Science ®Google Scholar
• Matthews, K. A., & Gallo, L. C. (2011). Psychological perspectives on pathways linking socioeconomic status and physical health. Annual Review of Psychology, 62(1), 501–530. https://doi.org/10.1146/annurev.psych.031809.130711
   PubMed Web of Science ®Google Scholar
• Mori, S., & Zhang, J. (2006). Principles of diffusion tensor imaging and its applications to basic neuroscience research. Neuron, 51(5), 527–539. https://doi.org/10.1016/j.neuron.2006.08.012
   PubMed Web of Science ®Google Scholar
• Moschner, C., & Baloh, R. W. (1994). Age-related changes in visual tracking. Journals of Gerontology, 49(5), M235–M238. https://doi.org/10.1093/geronj/49.5.m235
   PubMedGoogle Scholar
• Nasreddine Z. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journals of Gerontology, 53(4), 695–699. https://s3.amazonaws.com/academia.edu.documents/30218573/19074274.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1550195256&Signature=AlTuPqFf7LfMJZS4oze5lOL0zwo%3D&response-content-disposition=inline%3Bfilename%755_Montreal_Cognitive_Assessment_MoCA_
   Google Scholar
• Perissinotto, E., Pisent, C., Sergi, G., Grigoletto, F., & Enzi, G. (2002). Anthropometric measurements in the elderly: Age and gender differences. British Journal of Nutrition, 87(2), 177–186. https://doi.org/10.1079/BJN2001487
   PubMed Web of Science ®Google Scholar
• Persson, J., Nyberg, L., Lind, J., Larsson, A., Nilsson, L. G., Ingvar, M., & Buckner, R. L. (2006). Structure-function correlates of cognitive decline in aging. Cerebral Cortex, 16(7), 907–915. https://doi.org/10.1093/cercor/bhj036
   PubMed Web of Science ®Google Scholar
• Rabin, L. A., Paolillo, E., & Barr, W. B. (2016). Stability in test-usage practices of clinical neuropsychologists in the United States and Canada over a 10-year period: A follow-up survey of INS and NAN members. Archives of Clinical Neuropsychology, 31(3), 206–230. https://doi.org/10.1093/arclin/acw007
   PubMed Web of Science ®Google Scholar
• Reitan, R. M., & Wolfson, D. (1995). Category test and Trail Making Test as measures of frontal lobe functions. The Clinical Neuropsychologist, 9(1), M235–M256. https://doi.org/10.1080/13854049508402057
   Web of Science ®Google Scholar
• Rush, B., Barch, D., & Braver, T. (2006). Accounting for cognitive aging: Context processing, inhibition or processing speed? Neuropsychology, Development and Cognition B Aging and Neuropsychology, and Cognition, 13(3–4), 588–610. https://doi.org/10.1080/13825580600680703
   PubMed Web of Science ®Google Scholar
• Salthouse, T. A. (2011). What cognitive abilities are involved in trail-making performance? Intelligence, 39(4), 222–232. https://doi.org/10.1016/j.intell.2011.03.001
   PubMed Web of Science ®Google Scholar
• Salthouse, T. A. (2012). Are individual differences in rates of aging greater at older ages? Neurobiology of Aging, 33(10), 2373–2381. https://doi.org/10.1016/j.neurobiolaging.2011.10.018
   PubMed Web of Science ®Google Scholar
• Sánchez-Cubillo, I., Periáñez, J. A., Adrover-Roig, D., Rodríguez-Sánchez, J. M., Ríos-Lago, M., Tirapu, J., & Barceló, F. (2009). Construct validity of the Trail Making Test: Role of task-switching, working memory, inhibition/interference control, and visuomotor abilities. Journal of the International Neuropsychological Society, 15, 206–450. https://doi.org/10.1017/S1355617709090626
   Web of Science ®Google Scholar
• Scarmeas, N., & Stern, Y. (2003). Cognitive reserve and lifestyle. Journal of Clinical and Experimental Neuropsychology, 25, 625–633. https://doi.org/10.1076/jcen.25.5.625.14576
   PubMed Web of Science ®Google Scholar
• Scherder, E., Dekker, W., & Eggermont, L. (2008). Higher-level hand motor function in aging and (preclinical) dementia: Its relationship with (instrumental) activities of daily life-a mini-review. Gerontology, 54, 588–341. https://doi.org/10.1159/000168203
   Web of Science ®Google Scholar
• Seidler, R. D., Bernard, J. a, Burutolu, T. B., Fling, B. W., Gordon, M. T., Gwin, J. T., Kwak, Y., & Lipps, D. B. (2010). Motor control and aging: Links to age-related brain structural, functional, and biochemical effects. Neuroscience and Biobehavioral Reviews, 34(5), 721–733. https://doi.org/10.1016/j.neubiorev.2009.10.005
   PubMed Web of Science ®Google Scholar
• Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17(3), 143–155. https://doi.org/10.1002/hbm.10062
   PubMed Web of Science ®Google Scholar
• Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., & Behrens, T. E. J. (2006). Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487–1505. https://doi.org/10.1016/j.neuroimage.2006.02.024
   PubMed Web of Science ®Google Scholar
• Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., Niazy, R. K., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., & Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(Suppl. 1), S208–S219. https://doi.org/10.1016/j.neuroimage.2004.07.051
   PubMed Web of Science ®Google Scholar
• Song, S. K., Sun, S. W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002). Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage, 17(3), 1429–1436. https://doi.org/10.1006/nimg.2002.1267
   PubMed Web of Science ®Google Scholar
• Stuhr, C., Hughes, C. M. L., & Stöckel, T. (2018). Task-specific and variability-driven activation of cognitive control processes during motor performance. Scientific Reports, 8(1), 10811. https://doi.org/10.1038/s41598-018-29007-3
   PubMed Web of Science ®Google Scholar
• Tolle, K. A., Rahman-Filipiak, A. M., Hale, A. C., Kitchen Andren, K. A., & Spencer, R. J. (2019). Grooved Pegboard Test as a measure of executive functioning. Applied Neuropsychology: Adult, 8, 1–7. https://doi.org/10.1080/23279095.2018.1559165
   Web of Science ®Google Scholar
• Verbruggen, F., & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends in Cognitive Sciences, 12, 418–424. https://doi.org/10.1016/j.tics.2008.07.005
   PubMed Web of Science ®Google Scholar
• Wang, C. S. M., Pai, M. C., Chen, P. L., Hou, N. T., Chien, P. F., & Huang, Y. C. (2013). Montreal Cognitive Assessment and Mini-Mental State Examination performance in patients with mild-to-moderate dementia with Lewy bodies, Alzheimer’s disease, and normal participants in Taiwan. International Psychogeriatrics, 25(11), 1839–1848. https://doi.org/10.1017/S1041610213001245
   PubMed Web of Science ®Google Scholar
• White, C. N., Congdon, E., Mumford, J. A., Karlsgodt, K. H., Sabb, F. W., Freimer, N. B., London, E. D., Cannon, T. D., Bilder, R. M., & Poldrack, R. A. (2014). Decomposing decision components in the stop-signal task: A model-based approach to individual differences in inhibitory control. Journal of Cognitive Neuroscience, 26(8), 1601–1614. https://doi.org/10.1162/jocn_a_00567
   PubMed Web of Science ®Google Scholar
• WHOQOL Group. (1998). Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychological Medicine, 28(3), 11–558. https://doi.org/10.1017/S0033291798006667
   Web of Science ®Google Scholar
• Williams, K. N., & Kemper, S. (2010). Interventions to reduce cognitive decline in aging. Journal of Psychosocial Nursing and Mental Health Services, 48, 42–51. https://doi.org/10.3928/02793695-20100331-03
   PubMed Web of Science ®Google Scholar
• Wilson, R. S., Beckett, L. A., Barnes, L. L., Schneider, J. A., Bach, J., Evans, D. A., & Bennett, D. A. (2002). Individual differences in rates of change in cognitive abilities of older persons. Psychology and Aging, 17(2), 179–193. https://doi.org/10.1037/0882-7974.17.2.179
   PubMed Web of Science ®Google Scholar
• Wolpert, D. M., Ghahramani, Z., & Jordan, M. I. (1995). An internal model for sensorimotor integration. Science, 269(5232), 1880–1882. https://doi.org/10.1126/science.7569931
   PubMed Web of Science ®Google Scholar
• Wu, F., Guo, Y., Zheng, Y., Ma, W., Kowal, P., Chatterji, S., & Wang, L. (2016). Social-economic status and cognitive performance among Chinese aged 50 years and older. PLoS One, 11(11), e0166986. https://doi.org/10.1371/journal.pone.0166986
   PubMed Web of Science ®Google Scholar
• Yang, M. H., Yao, Z. F., & Hsieh, S. (2019). Multimodal neuroimaging analysis reveals age-associated common and discrete cognitive control constructs. Human Brain Mapping, 40(9), 2639–2661. https://doi.org/10.1002/hbm.24550
   PubMed Web of Science ®Google Scholar
• Yao, G., & Wu, C. H. (2005). Factorial invariance of the WHOQOL-BREF among disease groups. Quality of Life Research, 14(8), 1881–1888. https://doi.org/10.1007/s11136-005-3867-7
   PubMed Web of Science ®Google Scholar
• Yao, G., Chung, C. W., Yu, C. F., & Wang, J. Der. (2002). Development and verification of validity and reliability of the WHOQOL-BREF Taiwan version. Journal of the Formosan Medical Association, 101(5), 42–351. http://www.ncbi.nlm.nih.gov/pubmed/12101852
   Web of Science ®Google Scholar
• Zaninotto, P., Batty, G. D., Allerhand, M., & Deary, I. J. (2018). Cognitive function trajectories and their determinants in older people: 8 Years of follow-up in the English longitudinal study of ageing. Journal of Epidemiology and Community Health, 72(8), 685–694. https://doi.org/10.1136/jech-2017-210116
   PubMed Web of Science ®Google Scholar