Konova, A.B., Zilverstand, A., 2023. Deriving generalizable and interpretable brain-behavior phenotypes of cannabis use. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8 (3): 238-240.
doi: https://doi.org/10.1016/j.bpsc.2023.01.003
PubMed ID: 36889869
Manea, A., Zilverstand, A., Ugurbil, K., Heilbronner, S., Zimmerman, J., 2022. Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain. eLife, 11 (e75540)
doi: https://doi.org/10.7554/elife.75540
PubMed ID: 35234612
Song*, S., Zilverstand*, A., Gui, W., Pan, X., Zhou, X, 2022. Reducing craving and consumption in individuals with drug addiction, obesity, or overeating through neuromodulation intervention: A systemic review and meta-analysis of its follow-up effects. Addiction, 117 (5): 1242-1255.
doi: https://doi.org/10.1111/add.15686
PubMed ID: 34514666
Niklason, G., Rawls, E., Ma, S., Kummerfeld, E., Maxwell, A.M., Brucar, L.R., Drossel, G., Zilverstand, A., 2022. Explainable Machine Learning Analysis Reveals Gender Differences in the Phenotypic and Neurobiological Markers of Cannabis Use Disorder. Scientific Reports, 12 (1): 15624.
doi: https://doi.org/10.1038/s41598-022-19804-2
PubMed ID: 36115920
Maxwell, A.M., Harrison, K., Rawls, E., Zilverstand, A. , 2022. Gender differences in the psychosocial determinants underlying the onset and maintenance of Alcohol Use Disorder. Frontiers in Neuroscience, 16: 808776.
doi: https://doi.org/10.3389/fnins.2022.808776
PubMed ID: 35360152
Parvaz, M., Malaker, P., Zilverstand, A., Moeller, S., Alia-Klein, N., Goldstein, R., 2021. Attention bias modification in drug addiction: Enhancing control of subsequent habits. Proceedings of the National Academy of Sciences, 118 (23): e2012941118.
doi: https://doi.org/10.1073/pnas.2012941118
PubMed ID: 34074751
Yacoub, E., Grier, M., Auerbach, E., Lagore, R., Harel, N., Adriany, G., Zilverstand, A., Hayden, B., Heilbronner, S., Ugurbil, K., Zimmerman, J, 2020. Ultra-high field (10.5 T) resting state fMRI in the macaque. Neuroimage, 223 (117349)
doi: https://doi.org/10.1016/j.neuroimage.2020.117349
PubMed ID: 32898683
Wang, C., Song, S., d’Oleire Uquillas, F., Zilverstand, A., Song, H., Chen, H., Zou, Z., 2020. Altered brain network organization in romantic love as measured with resting-state fMRI and graph theory.. Brain Imaging and Behavior, 14 (6): 2771-2784.
doi: https://doi.org/10.1007/s11682-019-00226-0
PubMed ID: 31898089
Zilverstand, A., et al., 2019. A roadmap for integrating neuroscience into addiction treatment: A consensus of the neuroscience interest group of the international society of addiction medicine. Frontiers in Psychiatry, 10: 877.
doi: https://doi.org/10.3389/fpsyt.2019.00877
PubMed ID: 31920740
Colicino, E., Hazeltine, D., Schneider, K., Zilverstand, A., Bachi, K., Alia-Klein, N., Goldstein, R., Todd, A., Horton, M., 2019. Cocaine addiction severity exacerbates the negative association of lifetime lead exposure with blood pressure levels: Evidence from a pilot study. Environmental Disease , 4 (3): 75-80.
doi: https://doi.org/10.4103/ed.ed_21_19
PubMed ID: 33490759