Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
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Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults (N = 128, mean age = 64.74) who underwent one of the following interventions for 6 months (NCT01472744 on ClinicalTrials.gov): 1) aerobic exercise in the form of brisk walking (Walk), 2) aerobic exercise in the form of brisk walking plus nutritional supplement (Walk+), 3) stretching, strengthening and stability (SSS), or 4) dance instruction. After the intervention, the Walk, Walk+ and SSS groups showed gains in cardiorespiratory fitness (CRF), with larger effects in both walking groups compared to the SSS and Dance groups. The Walk, Walk+ and SSS groups also improved in executive function (EF) as measured by reasoning, working memory, and task-switching tests. In the Walk, Walk+ and SSS groups that improved in EF, higher baseline modularity was positively related to EF gains, even after controlling for age, in-scanner motion and baseline EF. No relationship between modularity and EF gains was observed in the Dance group, which did not show training-related gains in CRF or EF control. These results are consistent with previous studies demonstrating that individuals with a more modular brain network organization are more responsive to cognitive training. These findings suggest that the predictive power of modularity may be generalizable across interventions aimed to enhance aspects of cognition and that, especially in low-performing individuals, global network properties can capture individual differences in neuroplasticity.
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Greater baseline evidence of disrupted connectivity is predictive of subsequent behavioral improvements in markers of cognitive control.
“In addition, a growing body of work suggests that greater baseline evidence of disrupted connectivity is predictive of subsequent behavioral improvements in markers of cognitive control (55, 56).”
From The Role of Exercise in Management of Mental Health Disorders: An Integrative Review (2021) · cites this paper as [56]
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Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
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., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · see citing works
Modularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293 · see citing works
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · see citing works
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works
Exercise training increases size of hippocampus and improves memory
Erickson, K. I., Voss, M. W., Prakash, R. S., Basak, C., Szabo, A., Chaddock, L., Kim, J. S., Heo, S., Alves, H., White, S. M., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015950108 · Cited by 4,855 · see citing works
Self-citationFinding community structure in networks using the eigenvectors of matrices
Newman, M. E. J. (2006) · Physical Review E · doi:10.1103/physreve.74.036104 · Cited by 4,799 · see citing works
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
Maps of random walks on complex networks reveal community structure
Rosvall, M., & Bergstrom, C. T. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706851105 · Cited by 4,583 · see citing works
A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.042 · Cited by 4,502 · see citing works
Automatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208 · see citing works
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
Fitness Effects on the Cognitive Function of Older Adults: A Meta-Analytic Study
Colcombe, S., & Kramer, A. F. (2003) · Psychological Science · doi:10.1111/1467-9280.t01-1-01430 · Cited by 3,782 · see citing works
Self-citationMovement‐Related effects in fMRI time‐series
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774 · see citing works
Be smart, exercise your heart: Exercise effects on brain and cognition
Hillman, C. H., Erickson, K. I., & Kramer, A. F. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2298 · Cited by 3,563 · see citing works
Self-citationRegional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers
Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875 · see citing works
Ross, R., Blair, S. N., Arena, R., Church, T. S., Després, J.-P., Franklin, B. A., Haskell, W. L., Kaminsky, L. A., Levine, B. D., Lavie, C. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000461 · Cited by 2,486 · see citing works
Exercise builds brain health: key roles of growth factor cascades and inflammation
Cotman, C. W., Berchtold, N. C., & Christie, L.-A. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.06.011 · Cited by 2,268 · see citing works
Sequence-independent segmentation of magnetic resonance images
Fischl, B. R., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Ségonne, F., Quinn, B. T., & Dale, A. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.016 · Cited by 2,117 · see citing works
Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
Fonov, V., Evans, A., McKinstry, R. C., Almli, C. R., & Collins, D. L. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70884-5 · Cited by 2,092 · see citing works
Effects of Cognitive Training Interventions With Older Adults: A Randomized Controlled Trial
Ball, K., Berch, D. B., Helmers, K. F., Jobe, J. B., Leveck, M. D., Marsiske, M., Morris, J. N., Rebok, G. W., Smith, D. M., Tennstedt, S. L., et al. (2002) · JAMA · doi:10.1001/jama.288.18.2271 · Cited by 2,049 · see citing works
Tukey, J. W. (1962) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704711 · Cited by 1,934 · see citing works
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851 · see citing works
The connectomics of brain disorders
Fornito, A., Zalesky, A., & Breakspear, M. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3901 · Cited by 1,734 · see citing works
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592 · see citing works
Long-term Effects of Cognitive Training on Everyday Functional Outcomes in Older Adults
Willis, S. L., Tennstedt, S. L., Marsiske, M., Ball, K., Elias, J., Koepke, K. M., Morris, J. N., Rebok, G. W., Unverzagt, F. W., Stoddard, A. M., et al. (2006) · JAMA · doi:10.1001/jama.296.23.2805 · Cited by 1,496 · see citing works
Decomposing adult age differences in working memory
Salthouse, T. A., & Babcock, R. L. (1991) · Developmental Psychology · doi:10.1037/0012-1649.27.5.763 · Cited by 1,373 · see citing works
Precision Functional Mapping of Individual Human Brains
Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., Ortega, M., Hoyt-Drazen, C., Gratton, C., Sun, H., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.011 · Cited by 1,335 · see citing works
Woodcock-Johnson Psycho-Educational Battery-Revised
Leighton, C. R. (1990) · PsycEXTRA Dataset · doi:10.1037/e500812010-005 · Cited by 1,315 · see citing works
Buckner, R. L., Head, D. M., Parker, J. B., Fotenos, A. F., Marcus, D. S., Morris, J. C., & Snyder, A. Z. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.018 · Cited by 1,290 · see citing works
The cognitive neuroscience of ageing
Grady, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3256 · Cited by 1,286 · see citing works
Differential aging of the brain: Patterns, cognitive correlates and modifiers
Raz, N., & Rodrigue, K. M. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.07.001 · Cited by 1,195 · see citing works
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · see citing works
Modular and hierarchically modular organization of brain networks
Meunier, D., Lambiotte, R., & Bullmore, E. T. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00200 · Cited by 1,156 · see citing works
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Bridging animal and human models of exercise-induced brain plasticity
Voss, M. W., Vivar, C., Kramer, A. F., & van Praag, H. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.001 · Cited by 1,030 · see citing works
Self-citationMultivariate analysis versus multiple univariate analyses.
Huberty, C. J., & Morris, J. D. (1989) · Psychological Bulletin · doi:10.1037/0033-2909.105.2.302 · Cited by 941 · see citing works
Individual differences in response to regular physical activity
BOUCHARD, C., & RANKINEN, T. (2001) · Medicine and Science in Sports and Exercise · doi:10.1097/00005768-200106001-00013 · Cited by 939 · see citing works
Functional system and areal organization of a highly sampled individual human brain
Laumann, T. O., Gordon, E. M., Adeyemo, B., Snyder, A. Z., Joo, S. J., Chen, M.-Y., Gilmore, A. W., McDermott, K. B., Nelson, S. M., Dosenbach, N. U. F., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.037 · Cited by 911 · see citing works
Bherer, L., Erickson, K. I., & Liu-Ambrose, T. (2013) · Journal of Aging Research · doi:10.1155/2013/657508 · Cited by 899 · see citing works
Spontaneous evolution of modularity and network motifs
Kashtan, N., & Alon, U. S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503610102 · Cited by 885 · see citing works
The effect of scan length on the reliability of resting-state fMRI connectivity estimates
Birn, R. M., Molloy, E. K., Patriat, R., Parker, T., Meier, T. B., Kirk, G. R., Nair, V. A., Meyerand, M. E., & Prabhakaran, V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.099 · Cited by 875 · see citing works
Decreased segregation of brain systems across the healthy adult lifespan
Chan, M. Y., Park, D. C., Savalia, N. K., Petersen, S. E., & Wig, G. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415122111 · Cited by 867 · see citing works
Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging
D’Esposito, M., Deouell, L. Y., & Gazzaley, A. H. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1246 · Cited by 852 · see citing works
Self-citationIndividual differences in rates of change in cognitive abilities of older persons.
Wilson, R. S., Beckett, L. A., Barnes, L. L., Schneider, J. A., Bach, J., Evans, D. A., & Bennett, D. A. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.179 · Cited by 842 · see citing works
Plasticity of brain networks in a randomized intervention trial of exercise training in older adults
Voss (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00032 · Cited by 841 · see citing works
Betzel, R. F., Byrge, L., He, Y., Goñi, J., Zuo, X.-N., & Sporns, O. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.067 · Cited by 807 · see citing works
Resistance Training and Executive Functions: A 12-Month Randomized Controlled Trial
Liu-Ambrose, T. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.494 · Cited by 775 · see citing works
Age-related changes in modular organization of human brain functional networks
Meunier, D., Achard, S., Morcom, A., & Bullmore, E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.062 · Cited by 756 · see citing works
A meta-regression to examine the relationship between aerobic fitness and cognitive performance
Etnier, J. L., Nowell, P. M., Landers, D. M., & Sibley, B. A. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.01.002 · Cited by 749 · see citing works
A Brain-Wide Study of Age-Related Changes in Functional Connectivity
Geerligs, L., Renken, R. J., Saliasi, E., Maurits, N. M., & Lorist, M. M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu012 · Cited by 729 · see citing works
Exercise, cognition, and the aging brain
Kramer, A. F., Erickson, K. I., & Colcombe, S. J. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00500.2006 · Cited by 719 · see citing works
Self-citationChaddock, L., Erickson, K. I., Prakash, R. S., Kim, J. S., Voss, M. W., VanPatter, M., Pontifex, M. B., Raine, L. B., Konkel, A., Hillman, C. H., et al. (2010) · Brain Research · doi:10.1016/j.brainres.2010.08.049 · Cited by 687 · see citing works
Self-citationAging, Training, and the Brain: A Review and Future Directions
Lustig, C., Shah, P., Seidler, R. D., & Reuter‐Lorenz, P. A. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9119-9 · Cited by 684 · see citing works
Detecting Dementia With the Mini-Mental State Examination in Highly Educated Individuals
O’Bryant, S. E., Humphreys, J. D., Smith, G. E., Ivnik, R. J., Graff‐Radford, N. R., Petersen, R. C., & Lucas, J. A. (2008) · Archives of Neurology · doi:10.1001/archneur.65.7.963 · Cited by 653 · see citing works
The optimal template effect in hippocampus studies of diseased populations
Avants, B. B., Yushkevich, P., Pluta, J., Minkoff, D., Korczykowski, M., Detre, J., & Gee, J. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.062 · Cited by 640 · see citing works
The evolutionary origins of modularity
Clune, J., Mouret, J.-B., & Lipson, H. (2013) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2012.2863 · Cited by 600 · see citing works
Jack, C. R., Twomey, C. K., Zinsmeister, A. R., Sharbrough, F. W., Petersen, R. C., & Cascino, G. D. (1989) · Radiology · doi:10.1148/radiology.172.2.2748838 · Cited by 592 · cited 1× · see citing works
“We included estimated intracranial volume as a covariate in volumetric analyses to control for differences in overall brain volume (Jack et al., 1989; Buckner et al., 2004).”
MethodVoss, M. W., Heo, S., Prakash, R. S., Erickson, K. I., Alves, H., Chaddock, L., Szabo, A. N., Mailey, E. L., Wójcicki, T. R., White, S. M., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22119 · Cited by 553 · see citing works
Self-citationAerobic exercise training and improved neuropsychological function of older individuals
Dustman, R. E., Ruhling, R. O., Russell, E. M., Shearer, D. E., Bonekat, H. W., Shigeoka, J. W., Wood, J. S., & Bradford, D. C. (1984) · Neurobiology of Aging · doi:10.1016/0197-4580(84)90083-6 · Cited by 552 · see citing works
The modular and integrative functional architecture of the human brain
Bertolero, M. A., Yeo, B. T. T., & D’Esposito, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510619112 · Cited by 552 · see citing works
Self-citationKane, M. J., Hambrick, D. Z., & Conway, A. R. A. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.1.66 · Cited by 545 · see citing works
Wenger, H. A., & Bell, G. J. (1986) · Sports Medicine · doi:10.2165/00007256-198603050-00004 · Cited by 529 · see citing works
Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience
Gabrieli, J. D. E., Ghosh, S., & Whitfield, S. (2015) · Neuron · doi:10.1016/j.neuron.2014.10.047 · Cited by 526 · see citing works
Relations Between Cognitive Abilities and Measures of Executive Functioning.
Salthouse, T. A. (2005) · Neuropsychology · doi:10.1037/0894-4105.19.4.532 · Cited by 497 · see citing works
Chen, Z. J., He, Y., Rosa-Neto, P., Germann, J., & Evans, A. C. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn003 · Cited by 484 · see citing works
Kennedy, K. M., & Raz, N. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.01.001 · Cited by 475 · see citing works
Structure–function correlates of cognitive decline in aging
Persson, J., Nyberg, L., Lind, J., Larsson, A., Nilsson, L.-G., Ingvar, M., & Buckner, R. L. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj036 · Cited by 473 · see citing works
Diffusion tensor imaging of cerebral white matter integrity in cognitive aging
Madden, D. J., Bennett, I. J., Burzynska, A. Z., Potter, G. G., Chen, N., & Song, A. W. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.003 · Cited by 469 · see citing works
Self-citationCerebral White Matter Integrity and Cognitive Aging: Contributions from Diffusion Tensor Imaging
Madden, D. J., Bennett, I. J., & Song, A. W. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9113-2 · Cited by 463 · see citing works
Kelly, M. E., Loughrey, D., Lawlor, B. A., Robertson, I. H., Walsh, C., & Brennan, S. (2014) · Ageing Research Reviews · doi:10.1016/j.arr.2014.05.002 · Cited by 455 · see citing works
Benefits of regular aerobic exercise for executive functioning in healthy populations
Guiney, H., & Machado, L. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0345-4 · Cited by 455 · see citing works
Reduction of motion-related artifacts in resting state fMRI using aCompCor
Muschelli, J., Nebel, M. B., Caffo, B. S., Barber, A. D., Pekar, J. J., & Mostofsky, S. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.028 · Cited by 431 · see citing works
Cognitive effort drives workspace configuration of human brain functional networks
Kitzbichler, M. G., Henson, R. N. A., Smith, M. L., Nathan, P. J., & Bullmore, E. T. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0440-11.2011 · Cited by 427 · see citing works
Neurobiological markers of exercise-related brain plasticity in older adults
Voss, M. W., Erickson, K. I., Prakash, R. S., Chaddock, L., Kim, J. S., Alves, H., Szabo, A., Phillips, S. M., Wójcicki, T. R., Mailey, E. L., et al. (2013) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2012.10.021 · Cited by 418 · see citing works
Self-citationKing, A. C. (1997) · JAMA · doi:10.1001/jama.1997.03540250040029 · Cited by 412 · see citing works
Kramer, A. F., Hahn, S., & Gopher, D. (1999) · Acta Psychologica · doi:10.1016/s0001-6918(99)00011-6 · Cited by 405 · see citing works
Self-citationExercise and time-dependent benefits to learning and memory
Berchtold, N. C., Castello, N. A., & Cotman, C. W. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.02.050 · Cited by 371 · see citing works
Liu-Ambrose, T. Y. L., Nagamatsu, L. S., Voss, M. W., Khan, K. M., & Handy, T. C. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.05.010 · Cited by 366 · see citing works
Self-citationWhat needs to be explained to account for age-related effects on multiple cognitive variables?
Salthouse, T. A., & Ferrer-Caja, E. (2003) · Psychology and Aging · doi:10.1037/0882-7974.18.1.91 · Cited by 364 · see citing works
Gratton, C., Nomura, E. M., Pérez, F., & D’Esposito, M. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00222 · Cited by 336 · see citing works
Self-citationControl-related systems in the human brain
Power, J. D., & Petersen, S. E. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.12.009 · Cited by 331 · see citing works
The Society for Neuroscience 1995 annual meeting.
Hu, R. J. (1996) · PubMed · Cited by 313 · see citing works
BDNF mediates improvements in executive function following a 1-year exercise intervention.
Leckie, R. L., Oberlin, L. E., Voss, M. W., Prakash, R. S., Szabo-Reed, A., Chaddock-Heyman, L., Phillips, S. M., Gothe, N. P., Mailey, E., Vieira-Potter, V. J., et al. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00985 · Cited by 307 · see citing works
Self-citationMulti-parametric neuroimaging reproducibility: A 3-T resource study
Landman, B. A., Huang, A. J., Gifford, A., Vikram, D. S., Lim, I. A. L., Farrell, J. A. D., Bogovic, J., Hua, J., Chen, M., Jarso, S., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.047 · Cited by 296 · see citing works
MRI Estimation of Global Brain Oxygen Consumption Rate
Jain, V., Langham, M. C., & Wehrli, F. W. (2010) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2010.49 · Cited by 275 · see citing works
Higher Intelligence Is Associated with Less Task-Related Brain Network Reconfiguration
Schultz, D. H., & Cole, M. W. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0358-16.2016 · Cited by 268 · see citing works
Aging, exercise, and attention.
Hawkins, H. L., Kramer, A. F., & Capaldi, D. M. (1992) · Psychology and Aging · doi:10.1037/0882-7974.7.4.643 · Cited by 265 · see citing works
Self-citationVoss, M. W., Erickson, K. I., Prakash, R. S., Chaddock, L., Malkowski, E., Alves, H., Kim, J., Morris, K. S., White, S. M., Wójcicki, T. R., et al. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.01.005 · Cited by 261 · see citing works
Self-citationOngoing dynamics in large-scale functional connectivity predict perception
Sadaghiani, S., Poline, J., Kleinschmidt, A. K., & D’Esposito, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420687112 · Cited by 258 · see citing works
Self-citationLocalizing age-related individual differences in a hierarchical structure.
Salthouse, T. (2004) · Intelligence · doi:10.1016/j.intell.2004.07.003 · Cited by 258 · see citing works
Song, J., Birn, R. M., Boly, M., Meier, T. B., Nair, V. A., Meyerand, M. E., & Prabhakaran, V. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0286 · Cited by 258 · see citing works
Influence of age on practice effects in longitudinal neurocognitive change.
Salthouse, T. A. (2010) · Neuropsychology · doi:10.1037/a0019026 · Cited by 255 · see citing works
Data Quality Influences Observed Links Between Functional Connectivity and Behavior
Siegel, J. S., Mitra, A., Laumann, T. O., Seitzman, B. A., Raichle, M. E., Corbetta, M., & Snyder, A. Z. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw253 · Cited by 254 · see citing works
Speed and Knowledge as Determinants of Adult Age Differences in Verbal Tasks
Salthouse, T. A. (1993) · Journal of Gerontology · doi:10.1093/geronj/48.1.p29 · Cited by 252 · see citing works
Network measures predict neuropsychological outcome after brain injury
Warren, D. E., Power, J. D., Bruss, J., Denburg, N. L., Waldron, E. J., Sun, H., Petersen, S. E., & Tranel, D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1322173111 · Cited by 249 · see citing works
King, A. C., Oman, R. F., Brassington, G. S., et al. (1997) · PubMed · Cited by 237 · see citing works
Effects of cardiorespiratory fitness and cerebral blood flow on cognitive outcomes in older women
Brown, A. D., McMorris, C. A., Longman, R. S., Leigh, R., Hill, M. D., Friedenreich, C. M., & Poulin, M. J. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.11.002 · Cited by 236 · see citing works
Aerobic endurance exercise benefits memory and affect in young adults.
Stroth, S., Hille, K., Spitzer, M., & Reinhardt, R. (2009) · Neuropsychological Rehabilitation · doi:10.1080/09602010802091183 · Cited by 232 · see citing works
Cao, H., Plichta, M. M., Schäfer, A., Haddad, L., Grimm, O., Schneider, M., Esslinger, C., Kirsch, P., Meyer-Lindenberg, A., & Tost, H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.013 · Cited by 227 · see citing works
How localized are age-related effects on neuropsychological measures?
Salthouse, T. A., Fristoe, N. M., & Rhee, S. H. (1996) · Neuropsychology · doi:10.1037/0894-4105.10.2.272 · Cited by 220 · see citing works
Voss, M. W., Weng, T. B., Burzynska, A. Z., Wong, C. N., Cooke, G. E., Clark, R., Fanning, J. T., Salerno, E. A., Gothe, N. P., Olson, E. A., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.044 · Cited by 218 · see citing works
Self-citationStevens, A. A., Tappon, S. C., Garg, A., & Fair, D. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030468 · Cited by 212 · see citing works
Hedden, T., Mormino, E. C., Amariglio, R. E., Younger, A. P., Schultz, A. P., Becker, J. A., Buckner, R. L., Johnson, K. A., Sperling, R. A., & Rentz, D. M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2462-12.2012 · Cited by 182 · see citing works
Double dissociation of two cognitive control networks in patients with focal brain lesions
Nomura, E. M., Gratton, C., Visser, R. M., Kayser, A. S., Pérez, F., & D’Esposito, M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002431107 · Cited by 167 · see citing works
Self-citationChen, Z. J., Yong He, A., Rosa‐Neto, P., Gong, G., & Evans, A. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.010 · Cited by 160 · see citing works
(2012) · SpringerReference · doi:10.1007/springerreference_184521 · Cited by 155 · see citing works
It was the best of times, it was the worst of times: A psychophysiologist's view of cognitive aging
Fabiani, M. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01331.x · Cited by 150 · see citing works
Burzynska, A. Z., Jiao, Y., Knecht, A. M., Fanning, J., Awick, E. A., Chen, T., Gothe, N., Voss, M. W., McAuley, E., & Kramer, A. F. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00059 · Cited by 150 · see citing works
Self-citationStriatal Volume Predicts Level of Video Game Skill Acquisition
Erickson, K. I., Boot, W. R., Basak, C., Neider, M. B., Prakash, R. S., Voss, M. W., Graybiel, A. M., Simons, D. J., Fabiani, M., Gratton, G., et al. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp293 · Cited by 146 · see citing works
Self-citationFunctional brain network modularity predicts response to cognitive training after brain injury
Arnemann, K. L., Chen, A. J.-W., Novakovic-Agopian, T., Gratton, C., Nomura, E. M., & D’Esposito, M. (2015) · Neurology · doi:10.1212/wnl.0000000000001476 · Cited by 145 · see citing works
Self-citationCombining Reaction Time and Accuracy
Draheim, C., Hicks, K. L., & Engle, R. W. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691615596990 · Cited by 143 · see citing works
Functional network integrity presages cognitive decline in preclinical Alzheimer disease
Buckley, R. F., Schultz, A. P., Hedden, T., Papp, K. V., Hanseeuw, B. J., Marshall, G. A., Sepulcre, J., Smith, E. E., Rentz, D. M., Johnson, K. A., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004059 · Cited by 143 · see citing works
Age-related functional reorganization, structural changes, and preserved cognition
David Meunier, A., Stamatakis, E. A., & TYLER, L. K. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.07.003 · Cited by 118 · see citing works
Human Factors Interventions for the Health Care of Older Adults
(2001) · doi:10.1201/b12459 · Cited by 117 · see citing works
Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults
Gallen, C. L., Baniqued, P. L., Chapman, S. B., Aslan, S., Keebler, M. W., Didehbani, N., & D’Esposito, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0169015 · Cited by 117 · see citing works
Self-citationSmall-worldness and modularity of the resting-state functional brain network decrease with aging
Onoda, K., & Yamaguchi, S. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2013.10.023 · Cited by 115 · see citing works
Prediction of Maximal Oxygen Consumption
Froelicher, V. F., Thompson, A. J., Noguera, I., Davis, G., Stewart, A. J., & Triebwasser, J. H. (1975) · CHEST Journal · doi:10.1378/chest.68.3.331 · Cited by 109 · see citing works
Fanning, J. T., Porter, G. C., Awick, E. A., Ehlers, D. K., Roberts, S. A., Cooke, G. E., Burzynska, A. Z., Voss, M. W., Kramer, A. F., & McAuley, E. (2016) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9788-9 · Cited by 107 · see citing works
Self-citationGroup comparisons: imaging the aging brain
Samanez-Larkin, G. R., & D’Esposito, M. (2008) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsn029 · Cited by 101 · see citing works
Self-citationBasak, C., Voss, M. W., Erickson, K. I., Boot, W. R., & Kramer, A. F. (2011) · Brain and Cognition · doi:10.1016/j.bandc.2011.03.017 · Cited by 96 · see citing works
Self-citation(2007) · Encyclopedia of Measurement and Statistics · doi:10.4135/9781412952644.n136 · Cited by 96 · see citing works
Monti, J. M., Hillman, C. H., & Cohen, N. J. (2012) · Hippocampus · doi:10.1002/hipo.22023 · Cited by 95 · see citing works
Older Adults Making End of Life Decisions: An Application of Roy's Adaptation Model
Zhang, W. (2013) · Journal of Aging Research · doi:10.1155/2013/470812 · Cited by 88 · see citing works
Cardiorespiratory fitness mediates the effects of aging on cerebral blood flow
Zimmerman, B., Sutton, B. P., Low, K. A., Fletcher, M. A., Tan, C. H., Schneider‐Garces, N., Li, Y., Ouyang, C., Maclin, E. L., Gratton, G., et al. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00059 · Cited by 86 · see citing works
Mathewson, K. E., Basak, C., Maclin, E. L., Low, K. A., Boot, W. R., Kramer, A. F., Fabiani, M., & Gratton, G. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2012.01474.x · Cited by 83 · see citing works
Self-citationChadick, J. Z., Zanto, T. P., & Gazzaley, A. H. (2014) · Nature Communications · doi:10.1038/ncomms5223 · Cited by 80 · see citing works
Ehlers, D. K., Daugherty, A. M., Burzynska, A. Z., Fanning, J. T., Salerno, E. A., Chaddock‐Heyman, L., Kramer, A. F., & McAuley, E. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00110 · Cited by 74 · see citing works
Self-citationChanges in global and regional modularity associated with increasing working memory load
Stanley, M. L., Dagenbach, D., Lyday, R. G., Burdette, J. H., & Laurienti, P. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00954 · Cited by 73 · see citing works
Awick, E. A., Wójcicki, T. R., Olson, E. A., Fanning, J., Chung, H. D., Zuniga, K., Mackenzie, M., Kramer, A. F., & McAuley, E. (2015) · Quality of Life Research · doi:10.1007/s11136-014-0762-0 · Cited by 65 · see citing works
Self-citationDuncan, E. S., & Small, S. L. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0437 · Cited by 65 · see citing works
Burzynska, A. Z., Wong, C. N., Voss, M. W., Cooke, G. E., McAuley, E., & Kramer, A. F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120315 · Cited by 59 · see citing works
Self-citationThe Present Status of Physical Fitness in the Air Force
Balke, B., & Ware, R. W. (1959) · doi:10.21236/ada036235 · Cited by 54 · see citing works
Kawagoe, T., Onoda, K., & Yamaguchi, S. (2017) · Scientific Reports · doi:10.1038/srep40107 · Cited by 51 · see citing works
Pudas, S., Josefsson, M., Rieckmann, A., & Nyberg, L. H. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhw418 · Cited by 51 · see citing works
Predicting Individuals' Learning Success from Patterns of Pre-Learning MRI Activity
Vo, L. T. K., Walther, D. B., Kramer, A. F., Erickson, K. I., Boot, W. R., Voss, M. W., Prakash, R. S., Lee, H., Fabiani, M., Gratton, G., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016093 · Cited by 47 · see citing works
Self-citationContributions of the Individual Differences Approach to Cognitive Aging
Salthouse, T. A. (2016) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbw069 · Cited by 38 · see citing works
Construction of a patient-specific atlas of the brain: Application to normal aging
Ericsson, A. B., Aljabar, P., & Rueckert, D. (2008) · IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · doi:10.1109/isbi.2008.4541037 · Cited by 37 · see citing works
Exercise, Aging, and Cognition: Healthy Body, Healthy Mind?
Rogers, W. A., & Fisk, A. D. (2001) · CRC Press eBooks · doi:10.1201/b12459-12 · Cited by 37 · see citing works
The relative efficiency of modular and non-modular networks of different size
Tosh, C. R., & McNally, L. (2015) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.2568 · Cited by 25 · see citing works
Contamination by an Active Control Condition in a Randomized Exercise Trial
Ehlers, D. K., Fanning, J. T., Salerno, E. A., Kramer, A. F., & McAuley, E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0164246 · Cited by 23 · see citing works
Self-citationEhlers, D. K., Banducci, S. E., Daugherty, A. M., Fanning, J. T., Salerno, E. A., Porter, G. C., Burzynska, A. Z., Shen, S., Kramer, A. F., & McAuley, E. (2017) · BioMed Research International · doi:10.1155/2017/8570960 · Cited by 18 · see citing works
Self-citationSoman, S., Prasad, G., Hitchner, E., Massaband, P., Moseley, M. E., Zhou, W., & Rosen, A. C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23166 · Cited by 8 · see citing works
C-PAC: CPAC Version 0.3.8.1 Alpha
Clucas, J., Giavasis, S., Gutierrez, A., et al. (2015) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.593145 · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- Hagberg A. A. Schult D. A. Swart P. J. (2008). Exploring network structure, dynamics, and function using NetworkX, in Proceedings of the 7th Python in Science Conference (SciPy2008), eds Varoquaux G. Vaught T. Millman J. (Pasadena, CA: Los Alamos National Laboratory (LANL)), 11– 15.
- Heckemann R. A. Hartkens T. Leung K. K. Zheng Y. Hill D. L. Hajnal J. V. (2003). Information extraction from medical images: developing an e-Science application based on the Globus toolkit, in Proceedings of the 2nd UK e-Science All Hands Meeting (Nottingham).
- Wilcox R. R. (2005). Outlier Detection, 3rd Edn. Chichester: John Wiley & Sons, Ltd.
Cited by
Sorted by citations
The Role of Exercise in Management of Mental Health Disorders: An Integrative Review
Smith, P. J., & Merwin, R. M. (2021) · Annual Review of Medicine · doi:10.1146/annurev-med-060619-022943 · Cited by 360 · see citing works
Exercise benefits on Alzheimer’s disease: State-of-the-science
Valenzuela, P. L., Castillo-García, A., Morales, J. S., de la Villa, P., Hampel, H., Emanuele, E., Lista, S., & Lucia, A. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101108 · Cited by 337 · see citing works
Brain Modularity: A Biomarker of Intervention-related Plasticity
Gallen, C. L., & D’Esposito, M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.01.014 · Cited by 168 · see citing works
Self-citationLeveraging technology to personalize cognitive enhancement methods in aging
Ziegler, D. A., Anguera, J. A., Gallen, C. L., Hsu, W.-Y., Wais, P. E., & Gazzaley, A. (2022) · Nature Aging · doi:10.1038/s43587-022-00237-5 · Cited by 50 · see citing works
Self-citation
- Authors
- Baniqued, P. L., Gallen, C. L., Voss, M. W., Burzynska, A. Z., Wong, C. N., Cooke, G. E., Duffy, K., Fanning, J., Ehlers, D. K., Salerno, E. A., Aguiñaga, S., McAuley, E., Kramer, A. F., & D'Esposito, M.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- University of California, Berkeley (US)
- University of Iowa (US)
- Colorado State University (US)
- Northeastern University (US)
- Corresponding author
- Baniqued, Pauline L.
- ORCID
- Venue
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2018-01-04
- Volume
- 9
- Pages
- 426-426
- ISSN
- 1663-4365 (ISSN-L)
- PMC
- PMC5758542
- OpenAlex
- W2781475102
- Cited by
- 112
- References
- 148
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 11 · 2023: 12 · 2022: 17 · 2021: 13 · 2020: 25 · 2019: 9 · 2018: 8
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Frontiers in Aging Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Science Foundation (093622)
- U.S. Department of Defense (NDSEG)
- National Institutes of Health (R37AG02566, NS79689)
- American Cancer Society (PF-16-021-01-CPPB)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- brain network modularity, executive function, older adults, aerobic exercise, brisk walking, dietary supplementation, dance education, cardiorespiratory fitness, individual differences, neuroplasticity, cognitive training, working memory, task switching
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