76 results for "MRI" · page 4 of 8 · ranked by relevance
Imported from OpenNeuro ds004022
…The experiment involves collecting task-based and resting-state fMRI, structural MRI…
HEFMI-ICH is a hybrid EEG-fNIRS motor imagery dataset designed for brain-computer interface applications in intracerebral hemorrhage rehabilitation. The dataset comprises 37 participants (17 healthy controls and 20 ICH patients) performing 2-class hand motor imagery tasks (left and right hand grasping) across multiple sessions. With 32-channel EEG recordings at 256 Hz and 3,330 trials, this dataset supports the development and evaluation of BCI systems for clinical stroke rehabilitation.
…study, performed in the Advanced MRI section, LFMI, NINDS, National Institutes of…
This multimodal neuroimaging dataset investigates the neural mechanisms of metacognition—the ability to assess decision confidence—by isolating postdecisional from decisional contributions. Healthy volunteers performed perceptual judgments and observed decisions while reporting confidence, with concurrent electroencephalography and functional magnetic resonance imaging recordings. The study reveals dissociable neural correlates of confidence in prefrontal regions and proposes a computational model explaining how decision commitment enhances metacognitive performance.
…The MRI protocol used was initially based on the ADNI-3 basic…
This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
Data collection took place at the Meditation Research Institute (MRI) in Rishikesh…
BRAR_NQ is a neuroimaging dataset investigating the neural correlates of Quranic recitation through EEG recordings. The dataset explores the brain's reward and anti-reward circuitry in response to melodic recitation of the Noble Quran, combining electroencephalography to map neural activity patterns associated with this unique auditory-linguistic stimulus.
…Data were collected using a 3T MRI scanner and 64-channel BrainProducts…