Daniel Handwerker
Affiliations: | National Institute of Mental Health, Bethesda, MD, United States |
Area:
Hemodynamic signals, agingGoogle:
"Daniel Handwerker"Mean distance: 13.35 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Steven Yantis | research assistant | Johns Hopkins | ||
| Mark D'Esposito | grad student | 2000-2005 | UC Berkeley | |
| (Assessing variability of the fMRI BOLD response to neural activity.) | ||||
| Peter A. Bandettini | post-doc | NIMH | ||
| Roland Henry | post-doc | UCSF | ||
BETA: Related publications
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Publications
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| Poldrack RA, Markiewicz CJ, Appelhoff S, et al. (2024) The past, present, and future of the brain imaging data structure (BIDS). Imaging Neuroscience (Cambridge, Mass.). 2: 1-19 |
| Kronemer SI, Holness M, Morgan AT, et al. (2024) Visual imagery vividness correlates with afterimage conscious perception. Neuroscience of Consciousness. 2024: niae032 |
| Kronemer SI, Holness M, Morgan AT, et al. (2023) Visual imagery vividness correlates with afterimage brightness and sharpness. Biorxiv : the Preprint Server For Biology |
| Poldrack RA, Markiewicz CJ, Appelhoff S, et al. (2023) The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). Arxiv |
| Gonzalez-Castillo J, Fernandez IS, Lam KC, et al. (2023) Manifold learning for fMRI time-varying functional connectivity. Frontiers in Human Neuroscience. 17: 1134012 |
| Shahsavarani S, Thibodeaux DN, Xu W, et al. (2023) Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity. Cell Reports. 42: 112527 |
| Taylor PA, Reynolds RC, Calhoun V, et al. (2023) Highlight results, don't hide them: Enhance interpretation, reduce biases and improve reproducibility. Neuroimage. 274: 120138 |
| Teves JB, Gonzalez-Castillo J, Holness M, et al. (2023) The art and science of using quality control to understand and improve fMRI data. Frontiers in Neuroscience. 17: 1100544 |
| Gonzalez-Castillo J, Fernandez I, Lam KC, et al. (2023) Manifold Learning for fMRI time-varying FC. Biorxiv : the Preprint Server For Biology |
| Gonzalez-Castillo J, Fernandez IS, Handwerker DA, et al. (2022) Ultra-slow fMRI fluctuations in the fourth ventricle as a marker of drowsiness. Neuroimage. 119424 |