Effects of working memory training on functional connectivity and cerebral blood flow during rest

Takeuchi, Hikaru; Taki, Yasuyuki; Nouchi, Rui; Hashizume, Hiroshi; Sekiguchi, Atsushi; Kotozaki, Yuka; Nakagawa, Seishu; Miyauchi, Calros M.; Sassa, Yuko; Kawashima, Ryuta

doi:10.1016/j.cortex.2012.09.007

Cited by 162Functional Brain Connectivity StudiesCognitive Abilities and TestingNeural dynamics and brain function

Effects of working memory training on functional connectivity and cerebral blood flow during rest

Takeuchi, Hikaru, Taki, Yasuyuki, Nouchi, Rui, Hashizume, Hiroshi, Sekiguchi, Atsushi, Kotozaki, Yuka, Nakagawa, Seishu, Miyauchi, Calros M. +2 more·2013·Cortex

DOI 10.1016/j.cortex.2012.09.007

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Abstract

Working memory (WM) training (WMT) alters the task-related brain activity and structure of the external attention system (EAS). We investigated whether WMT also alters resting-state brain mechanisms, which are assumed to reflect intrinsic brain activity and connectivity. Our study subjects were subjected to a 4-week WMT program and brain scans before and after the intervention for determining changes of functional connectivity and regional cerebral blood flow during rest (resting-FC/resting-rCBF). Compared with no-intervention, WMT (a) increased resting-FC between the medial prefrontal cortex (mPFC) and precuneus, which are key nodes of the default mode network (DMN), (b) decreased resting-FC between mPFC and the right posterior parietal cortex/right lateral prefrontal cortex (LPFC), which are key nodes of the EAS, and (c) increased resting-rCBF in the right LPFC. However, the training-related decreases in resting-FC between the key DMN node and the nodes of EAS were only observed when the whole brain signal was regressed out in individual analyses, and these changes were not observed when the whole brain signal was not regressed out in individual analyses. Further analyses indicated that these differences may be mediated by a weak but a widespread increase in resting-FC between the nodes of EAS and activity of multiple bilateral areas across the brain. These results showed that WMT induces plasticity in neural mechanisms involving DMN and the EAS during rest and indicated that intrinsic brain activity and connectivity can be affected by cognitive training.

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Only two fMRI studies have investigated resting-state functional connectivity changes in relation to WM training.
“Yet, only two fMRI studies have investigated resting-state functional connectivity changes in relation to WM training [28, 29].”
From Adaptive working memory training does not produce transfer effects in cognition and neuroimaging (2022) · cites this paper as [29]
These two studies reported connectivity changes, both increases and decreases, within and between regions of the frontal parietal and the default mode network (DMN).
“Using a priori defined ROIs or networks of interest, these two studies reported connectivity changes, both increases and decreases, within and between regions of the frontal parietal and the default mode network (DMN).”
From Adaptive working memory training does not produce transfer effects in cognition and neuroimaging (2022) · cites this paper as [29]

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Resting-State fMRI
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Cognitive reserve and lifestyle: moving towards preclinical Alzheimer’s disease
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The impact of television viewing on brain structures: Cross-sectional and longitudinal analyses
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Effects of Cognitive Training on Resting-State Functional Connectivity of Default Mode, Salience, and Central Executive Networks
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
Strengthening Connections: Functional Connectivity and Brain Plasticity
Kelly, C. A. M., & Castellanos, F. X. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9252-y · Cited by 131 · see citing works
Brain Neuroplasticity Leveraging Virtual Reality and Brain–Computer Interface Technologies
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Neural effects of short-term training on working memory
Buschkuehl, M., Hernandez-Garcia, L., Jaeggi, S. M., Bernard, J. A., & Jonides, J. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-013-0244-9 · Cited by 117 · see citing works
Functional brain organization of working memory in adolescents varies in relation to family income and academic achievement
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Distinct Brain and Behavioral Benefits from Cognitive vs. Physical Training: A Randomized Trial in Aging Adults
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Brain enhancement through cognitive training: a new insight from brain connectome
Taya, F., Sun, Y., Babiloni, F., Thakor, N. V., & Bezerianos, A. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00044 · Cited by 102 · see citing works
Default mode network as a potential biomarker of chemotherapy-related brain injury
Kesler, S. R. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.036 · Cited by 100 · see citing works
Association between resting-state functional connectivity and empathizing/systemizing
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Hashizume, H., Sassa, Y., Kotozaki, Y., Miyauchi, C. M., Yokoyama, R., Iizuka, K., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.031 · Cited by 95 · see citing works
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Regional homogeneity of resting-state fMRI contributes to both neurovascular and task activation variations
Yuan, R., Di, X., Kim, E. H., Barik, S., Rypma, B., & Biswal, B. B. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.07.005 · Cited by 92 · see citing works
Reviewing working memory training gains in healthy older adults: A meta-analytic review of transfer for cognitive outcomes
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White matter structures associated with empathizing and systemizing in young adults
Takeuchi, H., Taki, Y., Thyreau, B., Sassa, Y., Hashizume, H., Sekiguchi, A., Nagase, T., Nouchi, R., Fukushima, A., & Kawashima, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.004 · Cited by 79 · see citing works
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The Exercising Brain: Changes in Functional Connectivity Induced by an Integrated Multimodal Cognitive and Whole-Body Coordination Training
Demirakça, T., Cardinale, V., Dehn, S., Ruf, M., & Ende, G. (2015) · Neural Plasticity · doi:10.1155/2016/8240894 · Cited by 79 · see citing works
The development and malleability of executive control abilities
Hsu, N. S., Novick, J. M., & Jaeggi, S. M. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00221 · Cited by 73 · see citing works
Working memory training mostly engages general-purpose large-scale networks for learning
Salmi, J., Nyberg, L., & Laine, M. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.03.019 · Cited by 70 · see citing works
Brain structures and functional connectivity associated with individual differences in Internet tendency in healthy young adults
Li, W., Li, Y., Yang, W., Zhang, Q., Wei, D., Li, W., Hitchman, G., & Qiu, J. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.02.019 · Cited by 69 · see citing works
Neuronal and behavioral effects of multi-day brain stimulation and memory training
Antonenko, D., Külzow, N., Sousa, A., Prehn, K., Grittner, U., & Flöel, A. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.09.017 · Cited by 70 · see citing works
Rethinking psychopharmacotherapy: the role of treatment context and brain plasticity in antidepressant and antipsychotic interventions.
Rief, W., Barsky, A. J., Bingel, U., Doering, B. K., Schwarting, R., Wöhr, M., & Schweiger, U. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.11.008 · Cited by 67 · see citing works
Improving Cognitive Function from Children to Old Age: A Systematic Review of Recent Smart Ageing Intervention Studies
Nouchi, R., & Kawashima, R. (2014) · Advances in Neuroscience · doi:10.1155/2014/235479 · Cited by 70 · see citing works
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Effects of multitasking‐training on gray matter structure and resting state neural mechanisms
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2013) · Human Brain Mapping · doi:10.1002/hbm.22427 · Cited by 60 · see citing works
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Resting state functional connectivity associated with trait emotional intelligence
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Hashizume, H., Sassa, Y., Kotozaki, Y., Miyauchi, C. M., Yokoyama, R., Iizuka, K., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.044 · Cited by 60 · see citing works
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Combined Cognitive-Psychological-Physical Intervention Induces Reorganization of Intrinsic Functional Brain Architecture in Older Adults
Zheng, Z., Zhu, X., Yin, S., Wang, B., Niu, Y., Huang, X., Li, R., & Li, J. (2015) · Neural Plasticity · doi:10.1155/2015/713104 · Cited by 55 · see citing works
Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns
Yamashita, M., Kawato, M., & Imamizu, H. (2015) · Scientific Reports · doi:10.1038/srep07622 · Cited by 53 · see citing works
Lead exposure is associated with functional and microstructural changes in the healthy human brain
Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Hanawa, S., Araki, T., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02435-0 · Cited by 54 · see citing works
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Quality of maternal behaviour during infancy predicts functional connectivity between default mode network and salience network 9 years later
Dégeilh, F., Bernier, A., Leblanc, É., Daneault, V., & Beauchamp, M. H. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.06.003 · Cited by 49 · see citing works
Working memory capacity is enhanced by distributed prefrontal activation and invariant temporal dynamics
Tang, H., Qi, X.-L., Riley, M. R., & Constantinidis, C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1817278116 · Cited by 48 · see citing works
Neuroplasticity of cognitive control networks following cognitive training for chronic traumatic brain injury
Han, K., Chapman, S. B., & Krawczyk, D. C. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.01.030 · Cited by 49 · see citing works
A Multi-Methodological MR Resting State Network Analysis to Assess the Changes in Brain Physiology of Children with ADHD
Alonso, B. D. C., Hidalgo-Tobón, S., Suárez, P. D., Flores, J. G., Carrillo, B. D. C., & Barragán-Pérez, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099119 · Cited by 47 · see citing works
Exploring distinct default mode and semantic networks using a systematic ICA approach
Jackson, R. L., Cloutman, L. L., & Ralph, M. A. L. (2019) · Cortex · doi:10.1016/j.cortex.2018.12.019 · Cited by 45 · see citing works
Neural correlates of working memory training: Evidence for plasticity in older adults
Iordan, A. D., Cooke, K. A., Moored, K., Katz, B., Buschkuehl, M., Jaeggi, S. M., Polk, T. A., Peltier, S., Jonides, J. J., & Reuter‐Lorenz, P. A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116887 · Cited by 47 · see citing works
The Impact of Cognitive Training on Cerebral White Matter in Community-Dwelling Elderly: One-Year Prospective Longitudinal Diffusion Tensor Imaging Study
Cao, X., Yao, Y., Li, T., Cheng, Y., Feng, W., Shen, Y., Li, Q., Jiang, L., Wu, W., Wang, J., et al. (2016) · Scientific Reports · doi:10.1038/srep33212 · Cited by 46 · see citing works
Neurocognitive Profiles of Older Adults with Working-Memory Dysfunction
Salami, A., Rieckmann, A., Karalija, N., Avelar‐Pereira, B., Andersson, M., Wåhlin, A., Papenberg, G., Garrett, D. D., Riklund, K., Lövdén, M., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy062 · Cited by 50 · see citing works
Prefrontal cortical plasticity during learning of cognitive tasks
Tang, H., Riley, M. R., Singh, B., Qi, X.-L., Blake, D. T., & Constantinidis, C. (2022) · Nature Communications · doi:10.1038/s41467-021-27695-6 · Cited by 44 · see citing works
Auditory Cognitive Training Improves Brain Plasticity in Healthy Older Adults: Evidence From a Randomized Controlled Trial
Kawata, N., Nouchi, R., Oba, K., Matsuzaki, Y., & Kawashima, R. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.826672 · Cited by 31 · see citing works
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Emotional working memory training reduces rumination and alters the EEG microstate in anxious individuals
Pan, D.-N., Hoid, D., Gu, R.-L., & Li, X. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102488 · Cited by 42 · see citing works
Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury
Han, K., Davis, R. A. O., Chapman, S. B., & Krawczyk, D. C. (2017) · Brain and Behavior · doi:10.1002/brb3.687 · Cited by 43 · see citing works
Working memory updating training promotes plasticity & behavioural gains: A systematic review & meta-analysis
Pappa, K., Biswas, V., Flegal, K. E., Evans, J. J., & Baylan, S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.027 · Cited by 43 · see citing works
Working memory training improves emotional states of healthy individuals
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00200 · Cited by 43 · see citing works
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Neuroanatomical correlates of the sense of control: Gray and white matter volumes associated with an internal locus of control
Hashimoto, T., Takeuchi, H., Taki, Y., Sekiguchi, A., Nouchi, R., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Iizuka, K., Yokoyama, R., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.061 · Cited by 40 · see citing works
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Neural plasticity in amplitude of low frequency fluctuation, cortical hub construction, regional homogeneity resulting from working memory training
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Makoto Miyauchi, C., Sassa, Y., & Kawashima, R. (2017) · Scientific Reports · doi:10.1038/s41598-017-01460-6 · Cited by 36 · see citing works
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Working memory training impacts the mean diffusivity in the dopaminergic system
Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0845-2 · Cited by 35 · see citing works
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Feasibility of Home-based Computerized Working Memory Training with Children and Adolescents with Sickle Cell Disease
Hardy, S., Hardy, K., Schatz, J., Thompson, A. L., & Meier, E. R. (2016) · Pediatric Blood & Cancer · doi:10.1002/pbc.26019 · Cited by 34 · see citing works
Cognitive and neural correlates of the 5-repeat allele of the dopamine D4 receptor gene in a population lacking the 7-repeat allele
Takeuchi, H., Tomita, H., Taki, Y., Kikuchi, Y., Ono, C., Yu, Z., Sekiguchi, A., Nouchi, R., Kotozaki, Y., Nakagawa, S., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.053 · Cited by 34 · see citing works
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SAIDO Learning as a Cognitive Intervention for Dementia Care: A Preliminary Study
Kawashima, R., Hiller, D. L., Sereda, S. L., Antonczak, M., Serger, K., Gannon, D., Ito, S., Otake, H., Yunomae, D., Kobayashi, A., et al. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.10.021 · Cited by 31 · see citing works
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Effectiveness of a low support, remotely accessible, cognitive remediation training programme for chronic psychosis: cognitive, functional and cortical outcomes from a single blind randomised controlled trial
Donohoe, G. J., Dillon, R., Hargreaves, A., Mothersill, O., Castorina, M., Furey, E., Fagan, A. J., Meaney, J. F., Fitzmaurice, B., Hallahan, B. P., et al. (2017) · Psychological Medicine · doi:10.1017/s0033291717001982 · Cited by 33 · see citing works
Regional gray matter density is associated with morningness–eveningness: Evidence from voxel-based morphometry
Takeuchi, H., Taki, Y., Sekiguchi, A., Nouchi, R., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Iizuka, K., Yokoyama, R., Shinada, T., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.037 · Cited by 33 · see citing works
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Effects of Simultaneously Performed Dual-Task Training with Aerobic Exercise and Working Memory Training on Cognitive Functions and Neural Systems in the Elderly
Takeuchi, H., Magistro, D., Kotozaki, Y., Motoki, K., Nejad, K. K., Nouchi, R., Jeong, H., Sato, C., Sessa, S., Nagatomi, R., et al. (2020) · Neural Plasticity · doi:10.1155/2020/3859824 · Cited by 33 · see citing works
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Reorganization of functional brain networks mediates the improvement of cognitive performance following real‐time neurofeedback training of working memory
Zhang, G., Li, Y., Shen, J., Yang, Y., & Zhao, X. (2014) · Human Brain Mapping · doi:10.1002/hbm.22731 · Cited by 32 · see citing works
Adaptive working memory training does not produce transfer effects in cognition and neuroimaging
Ripp, I., Emch, M., Wu, Q., Lizarraga, A., Udale, R., von Bastian, C. C., Koch, K., & Yakushev, I. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02272-7 · Cited by 31 · see citing works
“So far, only two studies have explored an impact of WM training on RSN connectivity, with findings of both increased and decreased connectivity within the DMN, as well as between the DMN and central executive network (CEN) [28, 29].”
BackgroundInfluential
Enhancing Human Cognitive Capital by Harnessing the Brain’s Inherent Neuroplasticity
Chapman, S. B., Cook, L. G., Vas, A., & Robertson, I. H. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190455132.003.0012 · Cited by 30 · 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
Cognitive Training with Neurofeedback Using NIRS Improved Cognitive Functions in Young Adults: Evidence from a Randomized Controlled Trial
Nouchi, R., Nouchi, H., Dinet, J., & Kawashima, R. (2021) · Brain Sciences · doi:10.3390/brainsci12010005 · Cited by 30 · see citing works
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Timescales of learning in prefrontal cortex
Miller, J. A., & Constantinidis, C. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00836-8 · Cited by 28 · see citing works
Impact of real-time fMRI working memory feedback training on the interactions between three core brain networks
Zhang, Q., Zhang, G., Li, Y., & Zhao, X. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00244 · Cited by 30 · see citing works
What Cognitive Neuroscience Tells Us about Creativity Education: A Literature Review.
Zhou, Z. (2018) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 28 · see citing works
Mean Diffusivity in the Dopaminergic System and Neural Differences Related to Dopaminergic System
Takeuchi, H., & Kawashima, R. (2018) · Current Neuropharmacology · doi:10.2174/1570159x15666171109124839 · Cited by 28 · see citing works
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Internet Search Alters Intra- and Inter-regional Synchronization in the Temporal Gyrus
Liu, X., Lin, X., Zheng, M., Hu, Y., Wang, Y., Wang, L., Du, X., & Dong, G. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00260 · Cited by 28 · see citing works
Human habit neural circuitry may be perturbed in eating disorders
Wang, A. R., Kuijper, F. M., Barbosa, D. A. N., Hagan, K. E., Lee, E., Tong, E., Choi, E. Y., McNab, J. A., Bohon, C., & Halpern, C. H. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.abo4919 · Cited by 27 · see citing works
Computerized cognitive remediation therapy effects on resting state brain activity and cognition in schizophrenia
Fan, F., Zou, Y., Tan, Y., Hong, L. E., & Tan, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-04829-9 · Cited by 27 · see citing works
Continuous Monitoring of Mental Load During Virtual Simulator Training for Laparoscopic Surgery Reflects Laparoscopic Dexterity: A Comparative Study Using a Novel Wireless Device
Maimon, N. B., Bez, M., Drobot, D., Molcho, L., Intrator, N., Kakiashvili, E., & Bickel, A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.694010 · Cited by 27 · see citing works
Cognitive Training in Parkinson’s Disease: A Review of Studies from 2000 to 2014
Glizer, D., & MacDonald, P. A. (2016) · Parkinson s Disease · doi:10.1155/2016/9291713 · Cited by 27 · see citing works
Dorsolateral Prefrontal Functional Connectivity Predicts Working Memory Training Gains
Faraza, S., Waldenmaier, J., Dyrba, M., Wolf, D. G. F., Fischer, F. U., Knaepen, K., Kollmann, B., Tüscher, O., Binder, H., Mierau, A., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.592261 · Cited by 26 · see citing works
Polygenic risk score for bipolar disorder associates with divergent thinking and brain structures in the prefrontal cortex
Takeuchi, H., Kimura, R., Tomita, H., Taki, Y., Kikuchi, Y., Ono, C., Yu, Z., Matsudaira, I. Y., Nouchi, R., Yokoyama, R., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25667 · Cited by 25 · see citing works
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Making Brains run Faster: are they Becoming Smarter?
Pahor, A., & Jaušovec, N. (2016) · The Spanish Journal of Psychology · doi:10.1017/sjp.2016.83 · Cited by 23 · see citing works
Working Memory: From Neural Activity to the Sentient Mind
Jaffe, R. J., & Constantinidis, C. (2021) · Comprehensive physiology · doi:10.1002/cphy.c210005 · Cited by 32 · see citing works
Cognition in art education
Heaton, R. (2021) · British Educational Research Journal · doi:10.1002/berj.3728 · Cited by 26 · see citing works
Plasticity of Persistent Activity and Its Constraints
Li, S., Zhou, X., Constantinidis, C., & Qi, X.-L. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00015 · Cited by 22 · see citing works
Working memory training restores aberrant brain activity in adult attention‐deficit hyperactivity disorder
Salmi, J., Soveri, A., Salmela, V. R., Alho, K., Leppämäki, S., Tani, P., Koski, A., Jaeggi, S. M., & Laine, M. (2020) · Human Brain Mapping · doi:10.1002/hbm.25164 · Cited by 22 · see citing works
Working Memory Training and Transfer: Theoretical and Practical Considerations
Jaeggi, S. M., & Buschkuehl, M. (2014) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-319-07755-0_2 · Cited by 22 · see citing works
Hyper-coupling between working memory task-evoked activations and amplitude of spontaneous fluctuations in first-episode schizophrenia
Zhou, Y., Wang, Z., Zuo, X., Zhang, H., Wang, Y., Jiang, T., & Liu, Z. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.07.023 · Cited by 22 · see citing works
An aberrant link between gamma oscillation and functional connectivity in Aβ1–42-mediated memory deficits in rats
Liu, T., Bai, W., Wang, J., & Tian, X. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.10.008 · Cited by 21 · see citing works
Enhancing Executive Function and Neural Health in Bipolar Disorder through Reasoning Training
Venza, E. E., Chapman, S. B., Aslan, S., Zientz, J., Tyler, D. L., & Spence, J. S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01676 · Cited by 21 · see citing works
Resting‐state networks of the neonate brain identified using independent component analysis
Rajasilta, O., Tuulari, J. J., Björnsdotter, M., Scheinin, N. M., Lehtola, S. J., Saunavaara, J. P., Häkkinen, S., Merisaari, H., Parkkola, R. K., Lähdesmäki, T., et al. (2020) · Developmental Neurobiology · doi:10.1002/dneu.22742 · Cited by 20 · see citing works
Same clock, different time read-out: Spontaneous brain oscillations and their relationship to deficient coding of cognitive content
Popov, T. G., & Popova, P. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.071 · Cited by 20 · see citing works
Working memory training increases neural efficiency in Parkinson’s disease: a randomized controlled trial
Giehl, K., Ophey, A., Hammes, J., Rehberg, S., Lichtenstein, T., Reker, P., Eggers, C., Kalbe, E., & van Eimeren, T. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa115 · Cited by 19 · see citing works
Complex-value coherence mapping reveals novel abnormal resting-state functional connectivity networks in task-specific focal hand dystonia
Hinkley, L. (2013) · Frontiers in Neurology · doi:10.3389/fneur.2013.00149 · Cited by 18 · see citing works
Neural change following different memory training approaches in very preterm born children – A pilot study
Everts, R., Mürner-Lavanchy, I. M., Schroth, G., & Steinlin, M. I. (2015) · Developmental Neurorehabilitation · doi:10.3109/17518423.2015.1027010 · Cited by 17 · see citing works
Effects of Time-Compressed Speech Training on Multiple Functional and Structural Neural Mechanisms Involving the Left Superior Temporal Gyrus
Maruyama, T., Takeuchi, H., Taki, Y., Motoki, K., Jeong, H., Kotozaki, Y., Nakagawa, S., Nouchi, R., Iizuka, K., Yokoyama, R., et al. (2018) · Neural Plasticity · doi:10.1155/2018/6574178 · Cited by 17 · see citing works
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Intrinsic functional connectivity of the default mode and cognitive control networks relate to change in behavioral performance over two years
Breukelaar, I. A., Griffiths, K. R., Harris, A. W. F., Foster, S., Williams, L. M., & Korgaonkar, M. S. (2020) · Cortex · doi:10.1016/j.cortex.2020.08.014 · Cited by 16 · see citing works
Effects of β-Lactolin on Regional Cerebral Blood Flow within the Dorsolateral Prefrontal Cortex during Working Memory Task in Healthy Adults: A Randomized Controlled Trial
Ano, Y., Kita, M., Kobayashi, K., Koikeda, T., & Kawashima, R. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10030480 · Cited by 16 · see citing works
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Creative thinking and brain network development in schoolchildren
Duval, P. E., Fornari, E., Décaillet, M., Ledoux, J., Beaty, R. E., & Denervaud, S. (2023) · Developmental Science · doi:10.1111/desc.13389 · Cited by 15 · see citing works
Comparative Efficacy of Cognitive Training for Post-Stroke Aphasia: A Systematic Review and Network Meta-Analysis
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Authors: Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Sassa, Y., & Kawashima, R.
Affiliations: Tohoku University (JP)
Corresponding author: Takeuchi, Hikaru
ORCID: Takeuchi, Hikaru
Taki, Yasuyuki
Nouchi, Rui
Hashizume, Hiroshi
Sekiguchi, Atsushi
Kotozaki, Yuka
Nakagawa, Seishu
Kawashima, Ryuta
Venue: Cortex
Publisher: Elsevier BV
Published: 2013-09
Volume: 49
Issue: 8
Pages: 2106-2125
ISSN: 0010-9452 (ISSN-L)
DOI: 10.1016/j.cortex.2012.09.007
OpenAlex: W2122182358
Cited by: 162
References: 81
Citations by year: 2026: 5 · 2025: 7 · 2024: 14 · 2023: 7 · 2022: 8 · 2021: 15 · 2020: 18 · 2019: 9 · 2018: 12 · 2017: 11 · 2016: 16 · 2015: 14 · 2014: 17 · 2013: 9
FWCI: 6.55
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Cortex (publishedVersion)
PubMed (publishedVersion)
Funders: Japan Science and Technology Agency
Core Research for Evolutional Science and Technology (KAKENHI 23700306)
Ministry of Education, Culture, Sports, Science and Technology
Research Institute of Science and Technology for Society
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: working memory training, resting-state functional connectivity, resting cerebral blood flow, default mode network, medial prefrontal cortex, precuneus, lateral prefrontal cortex, posterior parietal cortex, neuroplasticity, cognitive training, intrinsic brain activity
MeSH terms: Attention, Brain, Brain Mapping, Cerebral Cortex, Female, Humans, Male, Memory, Short-Term, Neural Pathways, Neuronal Plasticity, Parietal Lobe, Prefrontal Cortex, Young Adult

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Effects of working memory training on functional connectivity and cerebral blood flow during rest

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