The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and cognition dataset.
Pedro A Valdes-SosaLidice Galan-GarciaJorge Bosch-BayardMaria Luisa BringasEduardo Aubert-VazquezIris Rodriguez-GilSamir DasCecile MadjarTrinidad Virues-AlbaZia MohadesLeigh C MacIntyreChristine RogersShawn BrownLourdes Valdes-UrrutiaAlan C EvansMitchell J Valdes-SosaPublished in: Scientific data (2021)
The Cuban Human Brain Mapping Project (CHBMP) repository is an open multimodal neuroimaging and cognitive dataset from 282 young and middle age healthy participants (31.9 ± 9.3 years, age range 18-68 years). This dataset was acquired from 2004 to 2008 as a subset of a larger stratified random sample of 2,019 participants from La Lisa municipality in La Habana, Cuba. The exclusion criteria included the presence of disease or brain dysfunctions. Participant data that is being shared comprises i) high-density (64-120 channels) resting-state electroencephalograms (EEG), ii) magnetic resonance images (MRI), iii) psychological tests (MMSE, WAIS-III, computerized go-no go reaction time), as well as iv,) demographic information (age, gender, education, ethnicity, handedness, and weight). The EEG data contains recordings with at least 30 minutes in duration including the following conditions: eyes closed, eyes open, hyperventilation, and subsequent recovery. The MRI consists of anatomical T1 as well as diffusion-weighted (DWI) images acquired on a 1.5 Tesla system. The dataset presented here is hosted by Synapse.org and available at https://chbmp-open.loris.ca .
Keyphrases
- resting state
- contrast enhanced
- functional connectivity
- diffusion weighted
- high density
- magnetic resonance
- magnetic resonance imaging
- optical coherence tomography
- diffusion weighted imaging
- quality improvement
- computed tomography
- deep learning
- minimally invasive
- healthcare
- working memory
- big data
- convolutional neural network
- white matter
- body mass index
- weight loss
- health information
- social media
- artificial intelligence
- chronic pain
- patient reported
- protein kinase