Preliminary analysis results shown in DABI are intended solely to stimulate knowledge of and interest in the datasets in the DABI federation. Data analyses are subject to the following constraints:
1. DABI does not provide details of the methods used to run analyses. It is not possible to report analysis results when the analysis methods are hidden.
2. No attempt has been made to correct for confounding variables. There may be and likely are factors which bias the analysis results shown on the site. These can only be identified by working directly with those who have collected the data.
3. A complete and proper understanding of the data collected by DABI providers can only be ascertained by working with them when performing an analysis. DABI aims to connect researchers with its data providers to foster new collaboration.
If DABI users are granted access to data and wish to publish results of analysis performed on the data, they must cite the Data Provider (per the agreed upon conditions) and include the following in their acknowledgements: “Data used to perform this analysis was accessed from the Data Archive for the BRAIN Initiative with support from the National Institutes of Health under Award Number R24MH114796.”
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10.3389/fdata.2022.840508
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10.1002/hbm.25803
Lee, Keundong, et al., Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain, bioRxiv, 2022; 11.
10.1101/2022.11.08.515705
Nakhmani, A., Joseph, W., Zachary, T., Lloyd, J., Gonzalez, C. L., Wade, M. H., Walker, H. C., Cortical and STN spectral changes during limb movements in PD patients with and without dystonia, , 2022;
10.1101/2022.01.04.22268757
Olson, J. W., Gonzalez, C. L., Brinkerhoff, S., Boolos, M., Wade, M. H., Hurt, C. P., Walker, H. C., Local anatomy, stimulation site, and time alter directional deep brain stimulation impedances, Frontiers in Human Neuroscience, 2022; 16.
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Olson, J. W., Nakhmani, A., Irwin, Z. T., Edwards, L. J., Gonzalez, C. L., Wade, M. H., Walker, H. C., Cortical and STN spectral changes during limb movements in PD patients with and without dystonia, medRxiv, 2022; 2022-01.
10.1101/2022.01.04.22268757
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10.1126/scitranslmed.abq4744
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10.1126/scitranslmed.abj1441
Dataset of human intracranial recordings during famous landmark identification, Scientific data, 2022; 9(1), 28.
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Zelmann, R., Paulk, A., Tian, F., Balanza, G., Peralta, J. D., Crocker, B., Cash, S., Differential Cortical Network Engagement During States of Un/Consciousness in Humans, , 2022; .
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Duncan, D., COVID-19 data sharing and collaboration, Communications in Information and Systems, 2021; 21(3).
10.4310/CIS.2021.v21.n3.a1
Provenza, N. R., Sheth, S. A., Dastin-van Rijn, E. M., Mathura, R. K., Ding, Y., Vogt, G. S., Borton, D. A., Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder, Nature Medicine, 2021; 27(12), 2154-2164.
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Van Horn JD, Bridging the Brain and Data Sciences, Proc Natl Acad Sci U.S.A, 2021; 9(3):153-187.
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Weistuch C, Mujica-Parodi LR, Amgalan A, et al., Metabolism modulates network synchrony in the aging brain, bioRxiv. Published online, 2020; 2020.04.17.047233.
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Mujica-Parodi LR, Amgalan A, Sultan SF, et al., Diet modulates brain network stability, a biomarker for brain aging, in young adults, Proc Natl Acad Sci U.S.A, 2020; 117(11):6170-6177.
10.1073/pnas.1913042117
Weistuch C, Mujica-Parodi LR, Amgalan A, et al., Younger, but not older, brains are poised at a critical point of functional activity, bioRxiv. Published online, 2020; 2020.04.17.047233.
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