Mark D'Esposito
Affiliations: | University of California, Berkeley, Berkeley, CA, United States |
Area:
Cognitive NeuroscienceWebsite:
http://despolab.berkeley.edu/Google:
"Mark D'Esposito"Mean distance: 11.45 (cluster 23) | S | N | B | C | P |
Children
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Sign in to add collaboratorSuraj Sunil Pradhan | collaborator | UC Berkeley | |
Bryce A. Mander | collaborator | 2009-2015 | UC Berkeley |
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Publications
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Lurie DJ, Pappas I, D'Esposito M. (2023) Cortical timescales and the modular organization of structural and functional brain networks. Biorxiv : the Preprint Server For Biology |
Markova TZ, Ciampa CJ, Parent JH, et al. (2023) Poorer aging trajectories are associated with elevated serotonin synthesis capacity. Molecular Psychiatry |
Bliss DP, Rahnev D, Mackey WE, et al. (2023) Stimulation along the anterior-posterior axis of lateral frontal cortex reduces visual serial dependence. Journal of Vision. 23: 1 |
Johnson EL, Lin JJ, King-Stephens D, et al. (2023) A rapid theta network mechanism for flexible information encoding. Nature Communications. 14: 2872 |
Taylor CM, Furman DJ, Berry AS, et al. (2023) Striatal dopamine synthesis and cognitive flexibility differ between hormonal contraceptive users and nonusers. Cerebral Cortex (New York, N.Y. : 1991) |
Louis CC, Jacobs E, D'Esposito M, et al. (2023) Estradiol and the Catechol-o-methyltransferase Gene Interact to Predict Working Memory Performance: A Replication and Extension. Journal of Cognitive Neuroscience. 1-10 |
Gallen CL, Hwang K, Chen AJ, et al. (2023) Influence of goals on modular brain network organization during working memory. Frontiers in Behavioral Neuroscience. 17: 1128610 |
Riddle J, Scimeca JM, Pagnotta MF, et al. (2022) A guide for concurrent TMS-fMRI to investigate functional brain networks. Frontiers in Human Neuroscience. 16: 1050605 |
Cookson SL, D'Esposito M. (2022) Evaluating the reliability, validity, and utility of overlapping networks: Implications for network theories of cognition. Human Brain Mapping |
Miller JA, Tambini A, Kiyonaga A, et al. (2022) Long-term learning transforms prefrontal cortex representations during working memory. Neuron |