A multi-subject, multi-modal human neuroimaging dataset
| Autor: | Daniel G. Wakeman, Richard N. Henson |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Statistics and Probability
Adult Male Data Descriptor Electroencephalography - EEG Computer science Functional magnetic resonance imaging Brain imaging Library and Information Sciences Electroencephalography Cognitive neuroscience computer.software_genre Education Neuroimaging Functional neuroimaging Task Performance and Analysis medicine Humans Brain Mapping Modality (human–computer interaction) Modalities medicine.diagnostic_test business.industry Functional Neuroimaging Brain Magnetoencephalography Pattern recognition Magnetic Resonance Imaging Healthy Volunteers Computer Science Applications Female Artificial intelligence Data mining Statistics Probability and Uncertainty business computer psychological phenomena and processes Information Systems |
| Zdroj: | Scientific Data |
| ISSN: | 2052-4463 |
| Popis: | We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages. The data are freely available from https://openfmri.org/. |
| Databáze: | OpenAIRE |
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