Moral conviction and metacognitive ability shape multiple stages of information processing
[, and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
Imported from OpenNeuro ds000117
VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks. The dataset includes raw data, preprocessed EEG single trials, individual brain parcellations at multiple spatial scales (83-1015 regions), structural connectomes derived from diffusion imaging, and EEG source imaging solutions. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
…object representations visual and semantic processing of objects requires a broad, comprehensive…
This dataset comprises intracranial electrophysiological recordings and behavioral data from a paired associates memory task with open-loop electrical brain stimulation applied during encoding or retrieval phases. Participants studied word pairs, performed a distractor task, and completed cued recall, with stimulation delivered to hippocampal and entorhinal cortex electrodes on randomly assigned lists. The dataset enables investigation of how targeted electrical stimulation affects memory encoding and retrieval processes.
…The goal was to reveal whether temporal expectation influences initial sensory processing…
This dataset contains multimodal neuroimaging and physiological data from a study investigating the effects of Targeted Memory Reactivation (TMR) during REM sleep on emotional reactivity. Participants encoded affective images paired with sounds, received auditory cues during subsequent REM sleep, and were rescanned 48 hours later during arousal rating tasks in an fMRI scanner. The dataset includes structural and functional MRI, polysomnographic recordings with EEG during sleep, heart rate measurements, and behavioral ratings across three sessions spanning two weeks.
…and Müller, H.J. (2010), Dimension-based attention modulates early visual processing…
This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.