Proximal improvement and higher-order resting state network change after multidomain cognitive training intervention in healthy older adults
Open accessAbstract
Prior randomized control trials have shown that cognitive training interventions resulted in improved proximal task performance, improved functioning of activities of daily living, and reduced dementia risk in healthy older adults. Neural correlates implicated in cognitive training include hub brain regions of higher-order resting state networks including the default mode network, dorsal attention network, frontoparietal control network, and cingulo-opercular network. However, little is known about resting state network change after cognitive training, or the relation between functional brain changes and improvement in proximal task performance. We assessed the 1) change in proximal task performance, 2) change in higher-order resting state network connectivity via functional magnetic resonance imaging, and 3) association between these variables after a multidomain attention/speed-of-processing and working memory randomized control trial in a sample of 58 healthy older adults. Participants in the cognitive training group improved significantly on seven out of eight training tasks immediately after the training intervention with the largest magnitude of improvement in a divided attention/speed-of-processing task, the Double Decision task. Only the frontoparietal control network had significantly strengthened connectivity in the cognitive training group at the post-intervention timepoint. Lastly, higher frontoparietal control network connectivity was associated with improved Double Decision task performance after training in the cognitive training group. These findings show that the frontoparietal control network may strengthen after multidomain cognitive training interventions, and this network may underlie improvements in divided attention/speed-of-processing proximal improvement.
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Phase 1 revealed that cognitive training resulted in greater improvements in performance on trained tasks compared to the educational training control group irrespective of tDCS group assignment.
“Phase 1 revealed that cognitive training resulted in greater improvements in performance on trained tasks compared to the educational training control group irrespective of tDCS group assignment [38–39].”
From Primary outcome from the augmenting cognitive training in older adults study (ACT): A tDCS and cognitive training randomized clinical trial (2023) · cites this paper as [39]
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Depression and quality of life in older persons: A review
Sivertsen, H., Bjørkløf, G. H., Engedal, K., Selbæk, G., & Helvik, A.-S. (2015) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000437299 · Cited by 14,152 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
<i>Conn</i> : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0073 · Cited by 4,885 · 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
The Neuropsychological Assessment
Ogden, J. A. (2005) · Oxford University Press eBooks · doi:10.1093/oso/9780195171358.003.0002 · Cited by 4,382 · see citing works
Statistical Parametric Mapping: The Analysis of Functional Brain Images
Penny, W. D., Friston, K. J., Ashburner, J., Kiebel, S. J., & Thomas, N. (2007) · UCL Discovery (University College London) · Cited by 3,339 · see citing works
Harada, C. N., Love, M. C. N., & Triebel, K. L. (2013) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2013.07.002 · Cited by 2,303 · see citing works
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101 · 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
Self-citationLezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (1995) · Cited by 1,840 · see citing works
The Impact of Age on Cognition
Murman, D. (2015) · Seminars in Hearing · doi:10.1055/s-0035-1555115 · Cited by 1,619 · see citing works
Neural plasticity in the ageing brain
Burke, S. N., & Barnes, C. A. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1809 · Cited by 1,600 · 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
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
Self-citationRaincloud plots: a multi-platform tool for robust data visualization
Allen, M., Poggiali, D., Whitaker, K. J., Marshall, T. R., & Kievit, R. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15191.1 · Cited by 1,125 · see citing works
Lampit, A., Hallock, H., & Valenzuela, M. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001756 · Cited by 984 · see citing works
The ageing cortical synapse: hallmarks and implications for cognitive decline
Morrison, J. H., & Baxter, M. G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3200 · Cited by 965 · see citing works
Rebok, G. W., Ball, K., Guey, L. T., Jones, R. N., Kim, H., King, J. W., Marsiske, M., Morris, J. N., Tennstedt, S. L., Unverzagt, F. W., et al. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12607 · Cited by 965 · see citing works
Self-citationA 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
Weıntraub, S., Besser, L. M., Dodge, H. H., Teylan, M., Ferris, S. H., Goldstein, F. C., Giordani, B., Kramer, J. H., Loewenstein, D., Marson, D., et al. (2017) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000223 · Cited by 677 · see citing works
Effects of aging on functional and structural brain connectivity
Damoiseaux, J. S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.077 · Cited by 557 · see citing works
Rajah, M. N., & D'Esposito, M. (2005) · Brain · doi:10.1093/brain/awh608 · Cited by 513 · see citing works
Raincloud plots: a multi-platform tool for robust data visualization
Allen, M., Poggiali, D., Whitaker, K. J., Marshall, T. R., van Langen, J., & Kievit, R. (2021) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15191.2 · Cited by 502 · see citing works
Diversity and Disparity in Dementia: The Impact of Ethnoracial Differences in Alzheimer Disease
Chin, A. L., Negash, S., & Hamilton, R. (2011) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318211c6c9 · Cited by 416 · see citing works
The Impact of Speed of Processing Training on Cognitive and Everyday Functions
Ball, K., Edwards, J. D., & Ross, L. A. (2007) · The Journals of Gerontology Series B · doi:10.1093/geronb/62.special_issue_1.19 · Cited by 413 · see citing works
<b>GLIMMPSE</b> : Online Power Computation for Linear Models with and without a Baseline Covariate
Kreidler, S. M., Muller, K. E., Grunwald, G. K., Ringham, B. M., Coker-Dukowitz, Z., Sakhadeo, U. R., Baron, A. E., & Glueck, D. H. (2013) · Journal of Statistical Software · doi:10.18637/jss.v054.i10 · Cited by 399 · see citing works
Mechanism for top-down control of working memory capacity
Edin, F., Klingberg, T., Johansson, P., McNab, F., Tegnér, J., & Compte, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901894106 · Cited by 365 · see citing works
Weuve, J., Barnes, L. L., Mendes de Leon, C. F., Rajan, K. B., Beck, T., Aggarwal, N. T., Hebert, L. E., Bennett, D. A., Wilson, R. S., & Evans, D. A. (2018) · Epidemiology · doi:10.1097/ede.0000000000000747 · Cited by 340 · see citing works
Grady, C. L., Sarraf, S., Saverino, C., & Campbell, K. L. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.02.020 · Cited by 337 · see citing works
Brakowski, J., Spinelli, S., Doerig, N., Bosch, O. G., Manoliu, A., Holtforth, M. G., & Seifritz, E. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.04.007 · Cited by 326 · see citing works
Motter, J. N., Pimontel, M. A., Rindskopf, D., Devanand, D. P., Doraiswamy, P. M., & Sneed, J. R. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.09.022 · Cited by 303 · see citing works
Neural Mechanisms of Brain Plasticity with Complex Cognitive Training in Healthy Seniors
Chapman, S. B., Aslan, S., Spence, J. S., Hart, J., Bartz, E. K., Didehbani, N., Keebler, M. W., Gardner, C., Strain, J. F., DeFina, L. F., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht234 · Cited by 273 · see citing works
Racial and ethnic differences in trends in dementia prevalence and risk factors in the United States
Chen, C., & Zissimopoulos, J. (2018) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.08.009 · Cited by 265 · see citing works
A 64‐channel 3T array coil for accelerated brain MRI
Keil, B. R., Blau, J. N., Biber, S., Hoecht, P., Tountcheva, V., Setsompop, K., Triantafyllou, C., & Wald, L. L. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24427 · Cited by 259 · see citing works
ZHANG, H., WANG, S., XING, J., LIU, B., Ma, Z., Yang, M., ZHANG, Z., & Teng, G. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.08.012 · Cited by 257 · see citing works
Johnson, J. A., & Zatorre, R. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.026 · Cited by 236 · see citing works
Does Cognitive Training Prevent Cognitive Decline?: A Systematic Review
Butler, M., McCreedy, E., Nelson, V. A., Desai, P., Ratner, E., Fink, H. A., Hemmy, L. S., McCarten, J. R., Barclay, T. R., Brasure, M., et al. (2018) · Annals of Internal Medicine · doi:10.7326/m17-1531 · Cited by 236 · see citing works
Synaptic Plasticity Shapes Brain Connectivity: Implications for Network Topology
Bassi, M. S., Iezzi, E., Gilio, L., Centonze, D., & Buttari, F. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20246193 · Cited by 209 · see citing works
Age-related changes in processing speed: unique contributions of cerebellar and prefrontal cortex
Eckert (2010) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.010.2010 · Cited by 208 · see citing works
Wolinsky, F. D., Weg, M. W. V., Howren, M. B., Jones, M. P., & Dotson, M. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061624 · Cited by 201 · see citing works
Eta- and partial eta-squared in L2 research: A cautionary review and guide to more appropriate usage
Norouzian, R., & Plonsky, L. (2017) · Second language Research · doi:10.1177/0267658316684904 · Cited by 193 · see citing works
Majoka, M. A., & Schimming, C. (2021) · Clinical Therapeutics · doi:10.1016/j.clinthera.2021.05.005 · Cited by 191 · see citing works
Nguyen, L., Murphy, K. A., & Andrews, G. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100912 · Cited by 189 · see citing works
Rossi, S., Miniussi, C., Pasqualetti, P., Babiloni, C., Rossini, P. M., & Cappa, S. F. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.0703-04.2004 · Cited by 184 · see citing works
Familial risk for Alzheimer's disease alters fMRI activation patterns
Bassett, S. S., Yousem, D. M., Cristinzio, C., Kusevic, I., Yassa, M. A., Caffo, B. S., & Zeger, S. L. (2006) · Brain · doi:10.1093/brain/awl089 · Cited by 171 · see citing works
Speed of processing training results in lower risk of dementia
Edwards, J. D., Xu, H., Clark, D. O., Guey, L. T., Ross, L. A., & Unverzagt, F. W. (2017) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.09.002 · Cited by 161 · see citing works
Wolinsky, F. D., Unverzagt, F. W., Smith, D. M., Jones, R., Wright, E., & Tennstedt, S. L. (2006) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/61.5.s281 · Cited by 158 · see citing works
Mewborn, C. M., Lindbergh, C. A., & Miller, L. S. (2017) · Neuropsychology Review · doi:10.1007/s11065-017-9350-8 · Cited by 146 · see citing works
A cognitive training intervention increases resting cerebral blood flow in healthy older adults
Mozolic, J. L. (2010) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.016.2010 · Cited by 142 · see citing works
Hjelmervik, H., Hausmann, M., Osnes, B., Westerhausen, R., & Specht, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103492 · Cited by 138 · see citing works
Cao, W., Cao, X., Hou, C., Li, T., Cheng, Y., Jiang, L., Luo, C., Li, C., & Yao, D. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00070 · Cited by 136 · see citing works
Aging of attention: Does the ability to divide decline?
Salthouse, T. A., Fristoe, N. M., Lineweaver, T. T., & Coon, V. E. (1995) · Memory & Cognition · doi:10.3758/bf03210557 · Cited by 133 · see citing works
Lampit, A., Hallock, H., Suo, C., Naismith, S. L., & Valenzuela, M. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00014 · Cited by 129 · see citing works
Li, R., Zhu, X., Yin, S., Niu, Y., Zheng, Z., Huang, X., Wang, B., & Li, J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00039 · Cited by 120 · see citing works
The Impact of Cognitive Reserve on Brain Functional Connectivity in Alzheimer's Disease
Bozzali, M., Dowling, C., Serra, L., Spanò, B., Torso, M., Marra, C., Castelli, D., Dowell, N. G., Koch, G., Caltagirone, C., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141824 · Cited by 119 · see citing works
Systematic review and meta-analyses of useful field of view cognitive training
Edwards, J. D., Fausto, B. A., Tetlow, A. M., Corona, R. T., & Valdés, E. G. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.004 · Cited by 118 · see citing works
Sandrini, M., Brambilla, M., Manenti, R., Rosini, S., Cohen, L. G., & Cotelli, M. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00289 · Cited by 114 · see citing works
van Balkom, T. D., van den Heuvel, O. A., Berendse, H. W., van der Werf, Y. D., & Vriend, C. (2020) · Neuropsychology Review · doi:10.1007/s11065-020-09440-w · Cited by 112 · see citing works
Age-Related Differences in Test-Retest Reliability in Resting-State Brain Functional Connectivity
Song, J., Desphande, A. S., Meier, T. B., Tudorascu, D., Vergun, S., Nair, V. A., Biswal, B. B., Meyerand, M. E., Birn, R. M., Bellec, P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049847 · Cited by 102 · see citing works
The Role of Resting-State Network Functional Connectivity in Cognitive Aging
Hausman, H. K., O’Shea, A. M., Kraft, J. N., Boutzoukas, E. M., Evangelista, N. D., Etten, E. J. V., Bharadwaj, P. K., Smith, S. G., Porges, E. C., Hishaw, G. A., et al. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00177 · Cited by 101 · see citing works
Self-citationten Brinke, L. T., Davis, J. C., Barha, C. K., & Liu-Ambrose, T. (2017) · BMC Geriatrics · doi:10.1186/s12877-017-0529-x · Cited by 94 · see citing works
Shaw, E. E., Schultz, A. P., Sperling, R. A., & Hedden, T. (2015) · Brain Connectivity · doi:10.1089/brain.2014.0327 · Cited by 82 · see citing works
Montreal Cognitive Assessment Performance among Community-Dwelling African Americans
Rossetti, H. C., Lacritz, L. H., Hynan, L. S., Cullum, C. M., Wright, A. V., & Weiner, M. (2016) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acw095 · Cited by 80 · see citing works
Zhan, Y., Initiative, A. D. N., Ma, J., Alexander‐Bloch, A. F., Xu, K., Cui, Y. J., Feng, Q., Jiang, T., & Liu, Y. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160008 · Cited by 76 · see citing works
Woods, A. J., Cohen, R. A., Marsiske, M., Alexander, G. E., Czaja, S. J., & Wu, S. S. (2017) · Contemporary Clinical Trials · doi:10.1016/j.cct.2017.11.017 · Cited by 76 · see citing works
Self-citationBrain mechanisms underlying the effects of aging on different aspects of selective attention
Geerligs, L., Saliasi, E., Maurits, N. M., Renken, R. J., & Lorist, M. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.029 · Cited by 75 · see citing works
Indahlastari, A., Hardcastle, C., Albizu, A., Alvarez-Alvarado, S., Boutzoukas, E. M., Evangelista, N. D., Hausman, H. K., Kraft, J., Langer, K., & Woods, A. J. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s259499 · Cited by 64 · see citing works
Self-citationHausman, H. K., Hardcastle, C., Albizu, A., Kraft, J. N., Evangelista, N. D., Boutzoukas, E. M., Langer, K. G., O’Shea, A. M., Etten, E. J. V., Bharadwaj, P. K., et al. (2021) · GeroScience · doi:10.1007/s11357-021-00503-1 · Cited by 64 · see citing works
Self-citationFunctional MRI of long-term potentiation: imaging network plasticity
Álvarez-Salvado, E., Pallarés, V., Moreno, A., & Canals, S. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0152 · Cited by 63 · see citing works
Wagner, M., Rihs, T. A., Mosimann, U. P., Fisch, H. U., & Schlaepfer, T. E. (2005) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2005.06.001 · Cited by 60 · see citing works
Webb, E. K., Bird, C. M., deRoon‐Cassini, T. A., Tomas, C. W., Huggins, A. A., Fitzgerald, J. M., Miskovich, T. A., Bennett, K. P., Krukowski, J. L., Torres, L., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.44759 · Cited by 49 · see citing works
Enhancing Innovation and Underlying Neural Mechanisms Via Cognitive Training in Healthy Older Adults
Chapman, S. B., Spence, J. S., Aslan, S., & Keebler, M. W. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00314 · Cited by 46 · see citing works
Between-network Functional Connectivity Is Modified by Age and Cognitive Task Domain
Varangis, E. M. L., Razlighi, Q. R., Habeck, C. G., Fisher, Z. F., & Stern, Y. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01368 · Cited by 39 · see citing works
The Effects of Useful Field of View Training on Brain Activity and Connectivity
Ross, L. A., Webb, C. E., Whitaker, C., Hicks, J. M., Schmidt, E. L., Samimy, S., Dennis, N. A., & Visscher, K. (2018) · The Journals of Gerontology Series B · doi:10.1093/geronb/gby041 · Cited by 37 · see citing works
Han, S. D., Lamar, M., Fleischman, D. A., Kim, N., Bennett, D. A., Lewis, T. T., Arfanakis, K., & Barnes, L. L. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00365-9 · Cited by 37 · see citing works
MRI Predictors of Cognitive Training Outcomes
Baykara, E., Könen, T., Unger, K., & Karbach, J. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00188-y · Cited by 30 · see citing works
Nouchi, R., Kawata, N. Y. S., Saito, T. I., Himmelmeier, R. M., Ryo, N., Nouchi, H., & Kawashima, R. (2020) · Brain Sciences · doi:10.3390/brainsci10080560 · Cited by 28 · see citing works
Woutersen, K., Guadron, L., van den Berg, A. V., Boonstra, F. N., Theelen, T., & Goossens, J. (2017) · Journal of Vision · doi:10.1167/17.14.11 · Cited by 25 · see citing works
Jiang, J., Liu, T., Crawford, J. D., Kochan, N. A., Brodaty, H., Sachdev, P. S., & Wen, W. X. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116855 · Cited by 23 · see citing works
APOE ε 4 and resting‐state functional connectivity in racially/ethnically diverse older adults
Turney, I. C., Chesebro, A. G., Rentería, M. A., Lao, P. J., Beato, J. M., Schupf, N., Mayeux, R. P., Manly, J. J., & Brickman, A. M. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12094 · Cited by 23 · see citing works
Structural Neural Correlates of Double Decision Performance in Older Adults
Kraft, J. N., O’Shea, A. M., Albizu, A., Evangelista, N. D., Hausman, H. K., Boutzoukas, E. M., Nissim, N. R., Etten, E. J. V., Bharadwaj, P. K., Song, H., et al. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00278 · Cited by 15 · see citing works
Self-citationHigher-order resting state network association with the useful field of view task in older adults
Hardcastle, C., Hausman, H. K., Kraft, J. N., Albizu, A., Evangelista, N. D., Boutzoukas, E. M., O’Shea, A. M., Langer, K. G., Etten, E. J. V., Bharadwaj, P. K., et al. (2021) · GeroScience · doi:10.1007/s11357-021-00441-y · Cited by 12 · see citing works
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Nolin, S. A., Faulkner, M., Stewart, P., Fleming, L. E., Merritt, S., Rezaei, R., Bharadwaj, P., Franchetti, M. K., Raichlen, D. A., Jessup, C. J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.05.463207 · Cited by 3 · see citing works
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Fekete, M., Lehoczki, A., Tarantini, S., Fazekas‐Pongor, V., Csípő, T., Csizmadia, Z., & Varga, J. T. (2023) · Nutrients · doi:10.3390/nu15245116 · Cited by 109 · see citing works
Sex differences in brain functional connectivity of hippocampus in mild cognitive impairment
Williamson, J. N., Yabluchanskiy, A., Mukli, P., Wu, D. H., Sonntag, W. E., Ciro, C., & Yang, Y. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.959394 · Cited by 46 · see citing works
Roy, M., Edde, M., Fortier, M., Croteau, É., Castellano, C., St-Pierre, V., Vandenberghe, C., Rheault, F., Dadar, M., Duchesne, S., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.04.005 · Cited by 23 · see citing works
Tait, J. L., Duckham, R. L., Rantalainen, T., Milte, C. M., Main, L. C., Nowson, C. A., Sanders, K. M., Taaffe, D. R., Hill, K., Abbott, G., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01316-8 · Cited by 17 · see citing works
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Matton, A., Stephen, R., Daniilidou, M., Barbera, M., Alanko, V., Ballin, M., Ford, J., Hemiö, K., Lehtisalo, J., Rocha, S. L., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00845-w · Cited by 14 · see citing works
Hausman, H. K., Alexander, G. E., Cohen, R., Marsiske, M., DeKosky, S. T., Hishaw, G. A., O'Shea, A., Kraft, J. N., Dai, Y., Wu, S., et al. (2023) · Brain Stimulation · doi:10.1016/j.brs.2023.05.021 · Cited by 13 · see citing works
Self-citationHausman, H. K., Alexander, G. E., Cohen, R. A., Marsiske, M., DeKosky, S. T., Hishaw, G. A., O’Shea, A. M., Kraft, J. N., Dai, Y. E., Wu, S. S., et al. (2024) · Brain stimulation · doi:10.1016/j.brs.2024.02.021 · Cited by 16 · see citing works
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Kraft, J. N., Indahlastari, A., Boutzoukas, E. M., Hausman, H. K., Hardcastle, C., Albizu, A., O’Shea, A. M., Evangelista, N. D., Etten, E. J. V., Bharadwaj, P. K., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01077-4 · Cited by 12 · see citing works
Self-citationJames, C., Müller, D. M., Müller, C. A. H., Looij, Y. V. D., Altenmüller, E., Kliegel, M., van de Ville, D., & Marie, D. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26674 · Cited by 11 · see citing works
Kazinka, R., Roediger, D. J., Xuan, L., Yu, L., Mueller, B. A., Camchong, J., Opitz, A., MacDonald, A. W., & Lim, K. O. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120792 · Cited by 11 · see citing works
Task-based functional connectivity of the Useful Field of View (UFOV) fMRI task
Kraft, J. N., Hausman, H. K., Hardcastle, C., Albizu, A., O’Shea, A. M., Evangelista, N. D., Boutzoukas, E. M., Etten, E. J. V., Bharadwaj, P. K., Song, H., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00632-1 · Cited by 10 · see citing works
Self-citationLiu, T., Shi, Z., Zhang, J., Wang, K., Li, Y., Pei, G., Wang, L., Wu, J., & Yan, T. (2022) · Human Brain Mapping · doi:10.1002/hbm.26096 · Cited by 9 · see citing works
Olegário, R. L., Fernandes, S. R., & de Moraes, R. (2023) · Psychology and Health · doi:10.1080/08870446.2023.2267610 · Cited by 8 · see citing works
Aksu, S., Indahlastari, A., O’Shea, A. M., Marsiske, M., Cohen, R., Alexander, G. E., DeKosky, S. T., Hishaw, G. A., Dai, Y. E., Wu, S. S., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01205-0 · Cited by 4 · see citing works
Self-citationBeaumier, A.-S., Bastos, A. P., Malcorra, B. L. C., da Rocha, B. R., Bisol, V., Borges, F. S. E., Rodrigues, E. D. S., Carthery‐Goulart, M. T., Schilling, L. P., Marcotte, K., et al. (2025) · Brain Sciences · doi:10.3390/brainsci15111139 · Cited by 3 · see citing works
Fathipour‐Azar, Z., Masumi, J., Gharamaleki, F. F., Ery, M., & Mousavi, E. (2025) · Middle East Journal of Rehabilitation and Health Studies · doi:10.5812/mejrh-163727 · Cited by 1 · see citing works
Hardcastle, C., Kraft, J. N., Hausman, H. K., O’Shea, A. M., Albizu, A., Evangelista, N. D., Boutzoukas, E. M., Etten, E. J. V., Bharadwaj, P. K., Song, H., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01115-1 · Cited by 1 · see citing works
Self-citationDiagnosis of chemotherapy-related cognitive impairment
Dunaj, P., Piechowicz, P., Kołodziejczyk, K., Janota, A., & Dzierżanowski, T. (2022) · Medycyna Paliatywna · doi:10.5114/pm.2022.127008
The potential role of neurotechnology-based cognitive training for older adults: A scoping review
Olegário, R. L., & Camargos, E. F. (2023) · Seven International Medical and Nursing Congress · doi:10.56238/iicongressmedicalnursing-177
Wang, X., Zhao, S., Li, Y., An, H., Fan, N., Tan, S., & Yang, F. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104786
Cognitive training as a tool for maintaining brain reserves and cognitive functions during aging
Grigoryeva, V. N., & Mashkovich, K. A. (2026) · Russian neurological Journal · doi:10.30629/2658-7947-2026-31-2-4-14
Cui, L., He, Y., Zhang, X., Chen, X., Zhang, X., Zhang, H., Zhang, H., Fu, B., Wei, Y., Li, J., et al. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1903040
- Authors
- Hardcastle, C., Hausman, H. K., Kraft, J. N., Albizu, A., O’Shea, A., Boutzoukas, E. M., Evangelista, N. D., Langer, K., Van Etten, E. J., Bharadwaj, P. K., Song, H., Smith, S. G., Porges, E., DeKosky, S. T., Hishaw, G. A., Wu, S. S., Marsiske, M., Cohen, R., Alexander, G. E., & Woods, A. J.
- Affiliations
- University of Florida Health (US)
- University of Florida (US)
- University of Arizona (US)
- Corresponding author
- Woods, Adam J.
- ORCID
- Venue
- GeroScience
- Published
- 2022-03-08
- Volume
- 44
- Issue
- 2
- Pages
- 1011-1027
- ISSN
- 2152-4041 (ISSN-L)
- 2509-2715
- 2509-2723
- PMC
- PMC9135928
- OpenAlex
- W4221074205
- Cited by
- 22
- References
- 85
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 4 · 2022: 5
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- GeroScience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1s10od021726-01a1)
- National Institute on Aging (R01AG054077, P30AG019610, T32AG020499, K01AG050707, P30AG072980)
- National Heart, Lung, and Blood Institute (T32HL134621)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- frontoparietal network, default mode network, dorsal attention network, cingulo-opercular network, divided attention, processing speed, working memory, healthy older adults
- MeSH terms
- Activities of Daily Living, Aged, Brain, Cognition, Humans, Magnetic Resonance Imaging, Neural Pathways
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