Effects of transcranial direct current stimulation paired with cognitive training on functional connectivity of the working memory network in older adults
Open accessAbstract
BACKGROUND: Working memory, a fundamental short-term cognitive process, is known to decline with advanced age even in healthy older adults. Normal age-related declines in working memory can cause loss of independence and decreased quality of life. Cognitive training has shown some potential at enhancing certain cognitive processes, although, enhancements are variable. Transcranial direct current stimulation (tDCS), a form of non-invasive brain stimulation, has shown promise at enhancing working memory abilities, and may further the benefits from cognitive training interventions. However, the neural mechanisms underlying tDCS brain-based enhancements remain unknown. OBJECTIVE/HYPOTHESIS: Assess the effects of a 2-week intervention of active-tDCS vs. sham paired with cognitive training on functional connectivity of the working memory network during an N-Back working memory task. METHODS: = 28; mean age = 74 ± 7.3) completed 10-sessions of cognitive training paired with active or sham-tDCS. Functional connectivity was evaluated at baseline and post-intervention during an N-Back task (2-Back vs. 0-Back). RESULTS: Active-tDCS vs. sham demonstrated a significant increase in connectivity between the left dorsolateral prefrontal cortex and right inferior parietal lobule at post-intervention during 2-Back. Target accuracy on 2-Back was significantly improved for active vs. sham at post-intervention. CONCLUSION: These results suggest pairing tDCS with cognitive training enhances functional connectivity and working memory performance in older adults, and thus may hold promise as a method for remediating age-related cognitive decline. Future studies evaluating optimal dose and long-term effects of tDCS on brain function will help to maximize potential clinical impacts of tDCS paired with cognitive training in older adults. CLINICAL TRIAL REGISTRATION: www.ClinicalTrials.gov, identifier NCT02137122.
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Prior evidence shows enhanced cognitive performance in domains of working memory and episodic memory and evidence of transfer effects following active stimulation with cognitive training in older adults.
“This is surprising given prior evidence of enhanced cognitive performance in domains of working memory and episodic memory and evidence of transfer effects following active stimulation with cognitive training in older adults [33–36, 46, 47].”
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 [33]
The Discussion reports improved working-memory performance with active stimulation plus cognitive training in older adults, and the Conclusion reports gains on an untrained working-memory task, supporting evidence of transfer. The cited paper does not report an episodic-memory improvement. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredCombining tDCS with cognitive training has demonstrated additive effects on cognitive and functional abilities in younger and older adults.
“Combining tDCS with cognitive training has demonstrated additive effects on cognitive and functional abilities in younger [30–32] and older adults [33–36].”
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 [33]
The Discussion reports that, in healthy older adults, active tDCS paired with cognitive training improved working-memory accuracy beyond sham tDCS paired with training. The study also found increased functional brain connectivity, but it did not demonstrate improvements in functional abilities such as everyday functioning. Its Limitations section says the results cannot be extended to young adults; the citing sentence attaches other references to that age group. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe commercially-available computerized cognitive training program used in ACT has produced performance gains in older adults.
“In the ACT study, the cognitive training intervention involved completing 40 hours of computerized tasks from a commercially-available program that have produced performance gains in older adults [33,65,66].”
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 [33]
The design of the tDCS and cognitive training intervention in the ACT trial was based on a pilot study that demonstrated stimulation effects on working memory performance following two weeks of daily bifrontal tDCS (F3/F4, active stimulation = 2mA for 20 minutes) combined with cognitive training in older adults.
“The design of the tDCS and cognitive training intervention in the ACT trial was based on a pilot study that demonstrated stimulation effects on working memory performance following two weeks of daily bifrontal tDCS (F3/F4, active stimulation = 2mA for 20 minutes) combined with cognitive training in older adults [33].”
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 [33]
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Cites
Baddeley, A. D., & Hitch, G. (1974) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60452-1 · Cited by 9,860 · see citing works
The episodic buffer: a new component of working memory?
Baddeley, A. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01538-2 · Cited by 7,359 · cited 1× · see citing works
“Working memory is a frontal lobe mediated short-term memory process that plays a critical role in numerous aspects of everyday life (Baddeley and Hitch, 1974; Baddeley, 1992, 2000, 2003).”
BackgroundNitsche, M. A., & Paulus, W. (2000) · The Journal of Physiology · doi:10.1111/j.1469-7793.2000.t01-1-00633.x · Cited by 5,656 · see citing works
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258 · see citing works
Working memory: Looking back and looking forward
Baddeley, A. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1201 · Cited by 5,200 · 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
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560 · 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
Persistent activity in the prefrontal cortex during working memory
Curtis, C. E., & D'Esposito, M. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00197-9 · Cited by 2,001 · see citing works
Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults
Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1280 · Cited by 1,964 · see citing works
Training and plasticity of working memory
Klingberg, T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.002 · Cited by 1,585 · see citing works
A technical guide to tDCS, and related non-invasive brain stimulation tools
Woods, A. J., Antal, A., Bikson, M., Boggio, P. S., Brunoni, A. R., Celnik, P. A., Cohen, L. G., Fregni, F., Herrmann, C. S., Kappenman, E. S., et al. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.11.012 · Cited by 1,450 · see citing works
Self-citationBaddeley, A. (2010) · Current Biology · doi:10.1016/j.cub.2009.12.014 · Cited by 1,149 · see citing works
Batsikadze, G., Moliadze, V., Paulus, W., Kuo, M. ‐., & Nitsche, M. A. (2013) · The Journal of Physiology · doi:10.1113/jphysiol.2012.249730 · Cited by 1,017 · 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
Monte-Silva, K. K., Kuo, M., Hessenthaler, S., Fresnoza, S. M., Liebetanz, D., Paulus, W., & Nitsche, M. A. (2012) · Brain stimulation · doi:10.1016/j.brs.2012.04.011 · Cited by 856 · see citing works
Zaehle, T., Sandmann, P., Thorne, J. D., Jäncke, L., & Herrmann, C. S. (2011) · BMC Neuroscience · doi:10.1186/1471-2202-12-2 · Cited by 403 · see citing works
Huang, Y., Datta, A., Bikson, M., & Parra, L. C. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab208d · Cited by 366 · 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
Prefrontal cortex fMRI signal changes are correlated with working memory load
Manoach, D. S., Schlaug, G., Siewert, B., Darby, D. G., Bly, B. M., Benfield, A., Edelman, R. R., & Warach, S. (1997) · NeuroReport · doi:10.1097/00001756-199701200-00033 · Cited by 261 · see citing works
Martin, D. M., Liu, R., Alonzo, A., Green, M. J., & Loo, C. K. A. (2014) · Experimental Brain Research · doi:10.1007/s00221-014-4022-x · Cited by 257 · see citing works
The Influence of Perceptual Training on Working Memory in Older Adults
Berry, A. S., Zanto, T. P., Clapp, W. C., Hardy, J. L., Delahunt, P. B., Mahncke, H. W., & Gazzaley, A. H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011537 · Cited by 241 · see citing works
The Working Memory Networks of the Human Brain
Linden, D. E. J. (2007) · The Neuroscientist · doi:10.1177/1073858406298480 · Cited by 228 · see citing works
Gill, J., Shah-Basak, P. P., & Hamilton, R. (2015) · Brain Stimulation · doi:10.1016/j.brs.2014.10.018 · Cited by 224 · see citing works
Theories of Memory and Aging: A Look at the Past and a Glimpse of the Future
Park, D. C., & Festini, S. B. (2016) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbw066 · Cited by 221 · see citing works
Pelletier, S., & Cicchetti, F. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyu047 · Cited by 207 · see citing works
Park, S.-H., Seo, J.-H., Kim, Y.-H., & Ko, M.-H. (2014) · NeuroReport · doi:10.1097/wnr.0000000000000080 · Cited by 180 · see citing works
Mosayebi Samani, M., Agboada, D., Jamil, A., Kuo, M.-F., & Nitsche, M. A. (2019) · Cortex · doi:10.1016/j.cortex.2019.04.016 · Cited by 175 · see citing works
Longitudinal Neurostimulation in Older Adults Improves Working Memory
Jones, K. T., Stephens, J. A., Alam, M., Bikson, M., & Berryhill, M. E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121904 · Cited by 166 · see citing works
Richmond, L. L., Wolk, D., Chein, J., & Olson, I. R. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00657 · Cited by 143 · see citing works
The effects of medication use in transcranial direct current stimulation: A brief review
McLaren, M. E., Nissim, N. R., & Woods, A. J. (2017) · Brain stimulation · doi:10.1016/j.brs.2017.10.006 · Cited by 137 · see citing works
Self-citationFrontal Structural Neural Correlates of Working Memory Performance in Older Adults
Nissim, N. R., O’Shea, A. M., Bryant, V. E., Porges, E. C., Cohen, R. A., & Woods, A. J. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00328 · Cited by 135 · see citing works
Self-citationOlder adults improve on everyday tasks after working memory training and neurostimulation
Stephens, J. A., & Berryhill, M. E. (2016) · Brain Stimulation · doi:10.1016/j.brs.2016.04.001 · Cited by 130 · see citing works
Cognitive Processing Speed across the Lifespan: Beyond the Influence of Motor Speed
Ebaid, D., Crewther, S. G., MacCalman, K., Brown, A., & Crewther, D. P. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00062 · Cited by 121 · see citing works
Mograbi, D. C., Faria, C. D. A., Fichman, H. C., Paradela, E. M. P., & Lourenço, R. A. (2014) · Annals of Indian Academy of Neurology · doi:10.4103/0972-2327.128558 · Cited by 102 · see citing works
Demirakça, T., Cardinale, V., Dehn, S., Ruf, M., & Ende, G. (2015) · Neural Plasticity · doi:10.1155/2016/8240894 · Cited by 79 · see citing works
Activation of Multi‐modal Cortical Areas Underlies Short‐term Memory
Klingberg, T., Kawashima, R., & Roland, P. E. (1996) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1996.tb01340.x · Cited by 79 · see citing works
Functional Connectivity with the Default Mode Network Is Altered in Fibromyalgia Patients
Fallon, N. B., Chiu, Y. H., Nurmikko, T. J., & Stančák, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159198 · Cited by 79 · 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-citationSoyata, A. Z., Aksu, S., Woods, A. J., İşçen, P., Saçar, K. T., & Karamürsel, S. (2018) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0948-5 · Cited by 71 · see citing works
Self-citationExploring prefrontal cortex functions in healthy humans by transcranial electrical stimulation
Kuo, M., & Nitsche, M. A. (2015) · Neuroscience Bulletin · doi:10.1007/s12264-014-1501-9 · Cited by 68 · see citing works
Nissim, N. R., O’Shea, A., Indahlastari, A., Telles, R., Richards, L., Porges, E., Cohen, R., & Woods, A. J. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00051 · Cited by 63 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Friston K. J. Ashburner J. Kiebel S. Nichols T. Penny W. D. (2007). Statistical Parametric Mapping: The Analysis of Funtional Brain Images. Cambridge, CA: Elsevier Academic Press.
Cited by
Sorted by citations
Chan, M. M. Y., Yau, S. S. Y., & Han, Y. M. Y. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.035 · Cited by 102 · see citing works
Albizu, A., Fang, R., Indahlastari, A., O’Shea, A., Stolte, S. E., See, K. B., Boutzoukas, E. M., Kraft, J. N., Nissim, N. R., & Woods, A. J. (2020) · Brain Stimulation · doi:10.1016/j.brs.2020.10.001 · Cited by 79 · see citing works
Self-citationAntonenko, D., Fromm, A. E., Thams, F., Grittner, U., Meinzer, M., & Flöel, A. (2023) · Nature Communications · doi:10.1038/s41467-023-38910-x · Cited by 72 · see citing works
Zhao, X.-J., Ding, J., Pan, H., Zhang, S., Pan, D., Yu, H., Ye, Z., & Hua, T. (2020) · The Journal of Physiology · doi:10.1113/jp279340 · Cited by 66 · 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-citationTalar, K., Vetrovsky, T., van Haren, M., Négyesi, J., Granacher, U., Váczi, M., Martín-Arévalo, E., Del Olmo, M. F., Kałamacka, E., & Hortobágyi, T. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101738 · Cited by 59 · see citing works
Caulfield, K. A., Indahlastari, A., Nissim, N. R., Lopez, J. W., Fleischmann, H. H., Woods, A. J., & George, M. S. (2020) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13342 · Cited by 49 · see citing works
Self-citationIndahlastari, A., Albizu, A., Kraft, J. N., O’Shea, A. M., Nissim, N. R., Dunn, A. L., Carballo, D., Gordon, M., Taank, S., Kahn, A. T., et al. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.08.003 · Cited by 50 · see citing works
Self-citationŠimko, P., Kent, J. A., & Rektorová, I. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.09.010 · Cited by 51 · see citing works
Pergher, V., Au, J., Shalchy, M. A., Santarnecchi, E., Seitz, A. R., Jaeggi, S. M., & Battelli, L. (2022) · Brain stimulation · doi:10.1016/j.brs.2022.11.008 · Cited by 51 · see citing works
Rodella, C., Bernini, S., Panzarasa, S., Sinforiani, E., Picascia, M., Quaglini, S., Cavallini, E., Vecchi, T., Tassorelli, C., & Bottiroli, S. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-01912-0 · Cited by 48 · see citing works
Bilingualism and Aging: Implications for (Delaying) Neurocognitive Decline
Gallo, F., DeLuca, V., Prystauka, Y., Voits, T., Rothman, J., & Abutalebi, J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.819105 · Cited by 46 · see citing works
Lee, J. H., Lee, T. L., & Kang, N. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101377 · Cited by 43 · see citing works
Antonenko, D., Fromm, A. E., Thams, F., Kuzmina, A. V., Backhaus, M., Knochenhauer, E., Li, S., Grittner, U., & Flöel, A. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01381-3 · Cited by 43 · see citing works
Nissim, N. R., McAfee, D., Edwards, S., Prato, A., Lin, J. X., Lu, Z., Coslett, H. B., & Hamilton, R. H. (2023) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2022.12.014 · Cited by 38 · see citing works
Self-citationSatorres, E., Torrella, J. E., Real, E., Pitarque, A., Delhom, I., & Meléndez, J. C. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1071737 · Cited by 32 · see citing works
Protocols for cognitive enhancement. A user manual for Brain Health Services—part 5 of 6
Guevara, A. B., Bieler-Aeschlimann, M., Altomare, D., Berthier, M. L., Csajka, C., Dautricourt, S., Démonet, J., Dodich, A., Frisoni, G. B., Miniussi, C., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00844-1 · Cited by 29 · see citing works
Rezakhani, S., Amiri, M., Weckhuysen, S., & Keliris, G. A. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.01.130 · Cited by 28 · see citing works
Randomized trial of cognitive training and brain stimulation in non‐demented older adults
Antonenko, D., Thams, F., Grittner, U., Uhrich, J., Glöckner, F., Li, S.-C., & Flöel, A. (2022) · Alzheimer's & Dementia · doi:10.1002/trc2.12262 · Cited by 40 · see citing works
Prefrontal transcranial direct-current stimulation improves early technical skills in surgery
Ashcroft, J., Patel, R. R., Woods, A. J., Darzi, A. W., Singh, H., & Leff, D. R. (2020) · Brain stimulation · doi:10.1016/j.brs.2020.10.013 · Cited by 27 · see citing works
Self-citationSehatpour, P., Dondé, C., Hoptman, M. J., Kreither, J., Adair, D., Dias, E. C., Vail, B., Rohrig, S. N., Silipo, G. S., López‐Calderón, J., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117311 · Cited by 26 · see citing works
Šimko, P., Pupíková, M., Gajdoš, M., & Rektorová, I. (2021) · Neural Plasticity · doi:10.1155/2021/6664479 · Cited by 26 · see citing works
Grigorescu, C., Chalah, M. A., Lefaucheur, J., Kümpfel, T., Padberg, F., Ayache, S. S., & Palm, U. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.545377 · Cited by 25 · see citing works
Satorres, E., Meléndez, J. C., Pitarque, A., Real, E., Abella, M., & Escudero, J. V. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912716 · Cited by 25 · see citing works
Ke, Y., Liu, S., Chen, L., Wang, X., & Ming, D. (2023) · npj Science of Learning · doi:10.1038/s41539-023-00200-y · Cited by 24 · see citing works
Strategies to Promote Cognitive Health in Aging: Recent Evidence and Innovations
Oberlin, L. E., Jaywant, A., Wolff, A., & Gunning, F. M. (2022) · Current Psychiatry Reports · doi:10.1007/s11920-022-01348-x · Cited by 24 · see citing works
Assecondi, S., Hu, R., Kroeker, J., Eskes, G. A., & Shapiro, K. L. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1009262 · Cited by 24 · see citing works
Carraro, U. (2020) · European Journal of Translational Myology · doi:10.4081/ejtm.2019.8826 · Cited by 22 · see citing works
Clark, D. J., Chatterjee, S. A., Skinner, J. W., Lysne, P. E., Sumonthee, C., Wu, S. S., Cohen, R. A., Rose, D. K., & Woods, A. J. (2020) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13250 · Cited by 23 · see citing works
Self-citationCai, M., Dang, G., Su, X., Zhu, L., Shi, X., Che, S., Lan, X., Luo, X., & Guo, Y. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.701499 · Cited by 22 · see citing works
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Gozdas, E., Avelar-Pereira, B., Fingerhut, H., Dacorro, L., Jo, B., Williams, L. M., O’Hara, R., & Hosseini, S. M. H. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03153-x · Cited by 23 · see citing works
Alvarez‐Alvarado, S., Boutzoukas, E. M., Kraft, J. N., O’Shea, A. M., Indahlastari, A., Albizu, A., Nissim, N. R., Evangelista, N. D., Cohen, R. A., Porges, E. C., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.761348 · Cited by 20 · see citing works
Self-citationSchommartz, I., Dix, A., Passow, S., & Li, S. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.605190 · Cited by 20 · see citing works
Lv, Y., Wu, S., Nitsche, M. A., Tian, Y., Zschorlich, V. R., & Qi, F. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1454755 · Cited by 18 · see citing works
Machine-learning defined precision tDCS for improving cognitive function
Albizu, A., Indahlastari, A., Huang, Z., Waner, J. L., Stolte, S. E., Fang, R., & Woods, A. J. (2023) · Brain stimulation · doi:10.1016/j.brs.2023.05.020 · Cited by 18 · see citing works
Self-citationTranscranial Direct Current Stimulation to Ameliorate Post-Stroke Cognitive Impairment
Sloane, K. L., & Hamilton, R. H. (2024) · Brain Sciences · doi:10.3390/brainsci14060614 · Cited by 18 · see citing works
Gkintoni, E., Sortwell, A., Vassilopoulos, S. P., & Nikolaou, G. (2025) · Multimodal Technologies and Interaction · doi:10.3390/mti10010005 · Cited by 24 · see citing works
Pilloni, G., Charvet, L. E., Bikson, M., Palekar, N., & Kim, M.-J. (2022) · Journal of Clinical Neurology · doi:10.3988/jcn.2022.18.4.391 · Cited by 15 · see citing works
Zhang, Y., Li, C., Chen, D., Tian, R., Yan, X., Zhou, Y., Song, Y., Yang, Y., Wang, X., Zhou, B., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220539 · Cited by 15 · see citing works
Neuroenhancement of surgeons during robotic suturing
Patel, R. R., Suwa, Y., Kinross, J. K., von Roon, A. C., Woods, A. J., Darzi, A. W., Singh, H., & Leff, D. R. (2021) · Surgical Endoscopy · doi:10.1007/s00464-021-08823-1 · Cited by 14 · see citing works
Self-citationRocha, K. D. M., Marinho, V., Magalhães, F. E. X., Carvalho, V., Fernandes, T. R. S., Ayres, M., Crespo, E., Velasques, B., Ribeiro, P. F. M., Cagy, M., et al. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113036 · 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
Self-citationThe impact of body position on neurofluid dynamics: present insights and advancements in imaging
Muccio, M., Sun, Z., Chu, D., Damadian, B. E., Minkoff, L. A., Bonanni, L., & Ge, Y. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1454282 · Cited by 13 · see citing works
Lechner, W. V., Philip, N. S., Kahler, C. W., Houben, K., Tirrell, E., & Carpenter, L. L. (2022) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntac183 · Cited by 12 · 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-citationKazinka, 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
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Nasimova, M., & Huang, Y. (2022) · Brain stimulation · doi:10.1016/j.brs.2022.07.003 · Cited by 11 · see citing works
Szymkowicz, S. M., Taylor, W. D., & Woods, A. J. (2022) · Brain stimulation · doi:10.1016/j.brs.2022.07.055 · Cited by 11 · see citing works
Self-citationThams, F., Külzow, N., Flöel, A., & Antonenko, D. (2022) · Human Brain Mapping · doi:10.1002/hbm.25857 · Cited by 9 · see citing works
Kang, D. W., Wang, S., Um, Y. H., Kim, S., Kim, T., Kim, D., Lee, C. U., & Lim, H. K. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1428535 · Cited by 8 · see citing works
Izhak, S. B., Jacoby, N., Diedrich, L., Antal, A., & Michal Lavidor, B. (2025) · Scientific Reports · doi:10.1038/s41598-025-08322-6 · Cited by 8 · see citing works
Schmicker, M., Menze, I., Schneider, C. B., Taubert, M., Zaehle, T., & Mueller, N. G. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118438 · Cited by 9 · see citing works
Aksu, S., Indahlastari, A., O’Shea, A. M., Marsiske, M., Cohen, R. A., Alexander, G. E., DeKosky, S. T., Hishaw, G. A., Dai, Y. E., Wu, S. S., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01455-y · Cited by 7 · see citing works
Self-citationChatterjee, S. A., Seidler, R. D., Skinner, J. W., Lysne, P. E., Sumonthee, C., Wu, S. S., Cohen, R. A., Rose, D. K., Woods, A. J., & Clark, D. J. (2022) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2022.02.231 · Cited by 7 · see citing works
Self-citationQuasi-static approximation error of electric field analysis for transcranial current stimulation
Gaugain, G., Quéguiner, L., Bikson, M., Sauleau, R., Zhadobov, M., Modolo, J., & Nikolayev, D. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acb14d · Cited by 6 · see citing works
Choi, D. S., & Lee, S. (2023) · Biomedical Engineering Letters · doi:10.1007/s13534-023-00335-2 · Cited by 6 · see citing works
Thams, F., Rocke, M., Malinowski, R., Nowak, R., Grittner, U., Antonenko, D., & Flöel, A. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059943 · Cited by 6 · see citing works
Complexity measures reveal age-dependent changes in electroencephalogram during working memory task
Javaid, H., Nouman, M., Cheaha, D., Kumarnsit, E., & Chatpun, S. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.115070 · Cited by 6 · 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-citationDiedrich, L., Izhak, S. B., Kolhoff, H. I., Bergmann, C., Chakalov, I., Bähr, M., Michal Lavidor, B., & Antal, A. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.2110808 · Cited by 4 · see citing works
Dugas, C., Keltner-Dorman, E., & Hart, J. (2021) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2021.1927761 · Cited by 3 · see citing works
Vandendoorent, B., Nackaerts, E., Zoetewei, D., Hulzinga, F., Gilat, M., de Xivry, J. O., & Nieuwboer, A. (2023) · Brain and Cognition · doi:10.1016/j.bandc.2023.106073 · Cited by 4 · see citing works
Muccio, M., Pilloni, G., Masters, L. W., He, P., Krupp, L., Datta, A., Bikson, M., Charvet, L. E., & Ge, Y. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1418647 · Cited by 4 · see citing works
Neuromodulation and cognition in late-life depression
Mirjalili, M., Blumberger, D. M., Brunoni, A. R., Mulsant, B. H., & Rajji, T. K. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02323-3 · Cited by 3 · see citing works
Whittaker, H. T., Khayyat, L., Fortier-Lavallée, J., Laverdière, M., Bélanger, C., Zatorre, R. J., & Albouy, P. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1355565 · Cited by 3 · see citing works
Kaushik, K., Sharma, N., Kumar, P., Kaur, S., Kapoor, G., & Gehlot, A. (2024) · Turkish Journal of Physical Medicine and Rehabilitation · doi:10.5606/tftrd.2024.12252 · Cited by 3 · see citing works
Wang, X., Yang, G., & Gan, S. (2024) · Advanced technology in neuroscience . · doi:10.4103/atn.atn-d-24-00003 · Cited by 3 · see citing works
Impact of tDCS on attentional processes as a function of anxiety and depression
Coussement, C., de Vega, M. R., & Heeren, A. (2019) · PubMed Central · doi:10.36131/cnfioritieditore20200404 · Cited by 3 · see citing works
Clinical Research and Methodological Aspects for tDCS Research
Woods, A. J., & Martin, D. M. (2021) · Springer eBooks · doi:10.1007/978-3-030-76136-3_14 · Cited by 2 · see citing works
Self-citationThe effects of multimodal training on working memory in younger and older adults
Frau, L., Cazzato, V., McGlone, F. P., & Bruno, D. (2022) · The Cognitive Psychology Bulletin · doi:10.53841/bpscog.2022.1.7.23 · Cited by 1 · see citing works
Muccio, M., Pilloni, G., Masters, L. W., He, P., Krupp, L., Datta, A., Bikson, M., Charvet, L. E., & Ge, Y. (2025) · Bioengineering · doi:10.3390/bioengineering12060672 · Cited by 1 · see citing works
L’Abbate, T., Dimitriou, N., Dimakopoulos, G., Tecchio, F., & Nasios, G. (2025) · Brain Sciences · doi:10.3390/brainsci15080807 · Cited by 1 · 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
Roncero, C. T., Popov, A., Lima, B. S., Lahiri, D., Abnavi, F., & Chertkow, H. M. (2025) · PLoS ONE · doi:10.1371/journal.pone.0332372 · Cited by 1 · see citing works
Watted, A., & Ahmad, M. Y. A. (2026) · Multicultural Education Review · doi:10.1080/2005615x.2026.2618918 · Cited by 1 · see citing works
Wei, X., Xia, J., Luo, R., Hu, P., Wu, Y., Liu, J., Song, L., Jiang, N., & Sui, M. (2026) · PLoS ONE · doi:10.1371/journal.pone.0342761 · Cited by 1 · see citing works
León-Correa, E., Ruhnau, P., Balani, A. B., Qureshi, A., Tse, D., & Makris, S. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-026-01408-2 · Cited by 1 · see citing works
Coussement, C., de Vega, M. R., & Heeren, A. (2020) · doi:10.31234/osf.io/t2exb
Luber, B. M., & Beynel, L. (2023) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198832256.013.39
Effects of prefrontal tDCS on working memory performance in chronic alcohol and tobacco usePreprint
Göttgens, F., Habel, U., Wallheinke, P., Blendy, J. A., & Weidler, C. (2023) · Research Square · doi:10.21203/rs.3.rs-2894479/v1
Whittaker, H. T., Khayyat, L., Fortier-Lavallée, J., Laverdière, M., Bélanger, C., Zatorre, R. J., & Albouy, P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.05.572158
Memory modulation through brain stimulation
Rose, N. S., Fragetta, J., & Reinhart, R. M. G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15754-7.00061-4
León-Correa, E., Ruhnau, P., Balani, A. B., Qureshi, A., Tse, D., & Makris, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.19.639019
Zhu, R., Ma, X., Liu, X., & You, X. (2025) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2025.101250
Transcranial electrical stimulation for memory enhancement: A systematic review and meta-analysisPreprint
Goto, Y., Onagawa, R., Takemi, M., Ishikawa, K., Narukawa, S., Amano, K., & Hosomi, K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.17.643623
Integration of Cognitive Training and tDCS in Neuropsychiatric Disorders - A Scoping Review
Pathak, H., Shah, V., Sreeraj, V. S., & Venkatasubramanian, G. (2025) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-025-00312-2
Cong, S., Wang, M., Yan, L., Sun, L., Zheng, B., Xie, J., Yu, T., & Qian, Y. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1585885
Wang, X., Liao, H., Qiu, X., & Zhu, R. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120999
Antonenko, D., Fromm, A. E., Thams, F., Kuzmina, A. V., Backhaus, M., Knochenhauer, E., Li, S.-C., Grittner, U., & Flöel, A. (2024) · Figshare · doi:10.6084/m9.figshare.26666461
Brioschi Guevara, A., Bieler, M., Altomare, D., Berthier, M. L., Csajka, C., Dautricourt, S., Démonet, J., Dodich, A., Frisoni, G. B., Miniussi, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16786938
Ageeli, M., Flynn, M., Lopes, M. P., İnce, B., Alves, D., Westwood, S. J., Campbell, I. C., & Schmidt, U. H. (2026) · Pilot and Feasibility Studies · doi:10.1186/s40814-025-01748-9
Göttgens, F., Habel, U., Wallheinke, P., Blendy, J. A., & Weidler, C. (2026) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2026.01.011
Xing, S., Yuan, Y., Ren, P., Chen, Z., & Fu, Y. (2026) · Behavioural Brain Research · doi:10.1016/j.bbr.2026.116078
Prevention of Mild Cognitive Impairment: An Integrated Intervention
D’Iorio, A., Benedetto, G. L. D., Laora, L. D., Sorrentino, A., Cavallo, F., Santangelo, G., Cordasco, G., & Esposito, A. A. (2026) · Smart innovation, systems and technologies · doi:10.1007/978-981-95-4076-1_1
Alzheimer’s Disease Progression Prediction with Machine Learning
Jana, R. K., Roy, A., Banerjee, D., Chakraborty, D., Nag, I., & Qin, H. (2026) · Studies in Rhythm Engineering · doi:10.1007/978-981-95-8938-8_10
Caudet-Pastor, C., López-Malo, D., & Luque-García, A. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1931282
Tronelli, V., Barbon, A., & Mazza, V. (2026) · Brain Science · doi:10.3390/brainsci16090981
- Authors
- Nissim, N. R., O’Shea, A., Indahlastari, A., Kraft, J. N., von Mering, O., Aksu, S., Porges, E., Cohen, R., & Woods, A. J.
- Affiliations
- University of Florida Health (US)
- Corresponding author
- Woods, Adam J.
- ORCID
- Venue
- Frontiers in Aging Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2019-12-16
- Volume
- 11
- Pages
- 340-340
- ISSN
- 1663-4365 (ISSN-L)
- PMC
- PMC6961663
- OpenAlex
- W2996309028
- Cited by
- 99
- References
- 43
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 19 · 2023: 11 · 2022: 19 · 2021: 15 · 2020: 11
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Aging Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging
- Topics
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- transcranial direct current stimulation, cognitive training, working memory, functional connectivity, older adults, age-related cognitive decline, dorsolateral prefrontal cortex, inferior parietal lobule, n-back task, non-invasive brain stimulation
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