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Failing to deactivate: The association between brain activity during a working memory task and creativity.

, , , , , , and . NeuroImage, 55 (2): 681-687 (2011)

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Correlation among body height, intelligence, and brain gray matter volume in healthy children., , , , , , , , , and 1 other author(s). NeuroImage, 59 (2): 1023-1027 (2012)Regional gray matter volume increases following 7 days of voluntary wheel running exercise: A longitudinal VBM study in rats., , , , and . NeuroImage, (2014)Impact of reading habit on white matter structure: Cross-sectional and longitudinal analyses., , , , , , , , , and . NeuroImage, (2016)Brain age estimation from T1-weighted images using effective local features., , , , , , and . EMBC, page 3028-3031. IEEE, (2017)Age estimation from brain MRI images using deep learning., , , , , , , , and . ISBI, page 849-852. IEEE, (2017)General Intelligence Is Associated with Working Memory-Related Functional Connectivity Change: Evidence from a Large-Sample Study., , , , , , , , , and 8 other author(s). Brain Connect., 11 (2): 89-102 (2021)Participatory Design and Early Deployment of DarumaTO-3 Social Robot., , , , , , , , , and 4 other author(s). ICSR (2), volume 13818 of Lecture Notes in Computer Science, page 550-559. Springer, (2022)Failing to deactivate: The association between brain activity during a working memory task and creativity., , , , , , and . NeuroImage, 55 (2): 681-687 (2011)An age estimation method using brain local features for T1-weighted images., , , , , , and . EMBC, page 666-669. IEEE, (2015)Age estimation using effective brain local features from T1-weighted images., , , , , , , and . EMBC, page 5941-5944. IEEE, (2016)