Neuroepo multisession
Imported from OpenNeuro ds003194
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 189 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
65 results for "hippocampus" · page 4 of 7 · ranked by relevance
Imported from OpenNeuro ds003194
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.
This dataset comprises simultaneous EEG and fMRI recordings from 3 participants performing an inner speech task across 2 sessions each. Participants covertly produced 8 words presented in randomized order, each repeated 40 times, while EEG (64-channel, 5000 Hz) and fMRI (TR=2s) data were acquired concurrently. The dataset is intended to support research into the neural correlates of inner speech using multimodal neuroimaging.
This dataset provides complementary EEG recordings, obtained under photic stimulation with eyes open, from a cohort of individuals with Alzheimer's disease, frontotemporal dementia, and healthy controls previously described in a related open-eyes-closed EEG dataset. Recordings were collected at incremental photic stimulation frequencies (5-30 Hz) at the 2nd Department of Neurology, AHEPA University Hospital, Thessaloniki, Greece, using a 19-channel clinical EEG system. The dataset includes both raw and preprocessed (denoised) EEG data, intended to support research on neurodegenerative disease biomarkers and cognitive decline.
This dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults performing a sustained attention task (GradCPT) and a resting-state task with intermittent multi-dimensional experience sampling, collected across two sessions per participant. It includes behavioral responses, experience sampling ratings across 13 dimensions of thought, and mental health survey data, enabling study of the neural correlates of attentional fluctuations, mind-wandering, and the reliability of EEG-fMRI relationships across sessions.
The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) is a large-scale investigation of the behavioral and electrophysiological correlates of memory encoding and retrieval. The dataset comprises EEG recordings from over 300 subjects across three experiments (ltpFR, ltpFR2, and VFFR), totaling more than 7,000 ninety-minute memory testing sessions. Data were acquired using either 129-channel Geodesic Sensor Net or 128-channel BioSemi systems, providing a comprehensive resource for studying neural mechanisms of human memory.
Resting-state 62-ch EEG, 215 subjects, eyes-open/closed blocks. BrainVision actiCHamp 2500Hz. DOI:10.1038/sdata.2018.308
This dataset comprises EEG recordings collected as part of a study developing a methodology for sample enrichment in EEG biomarker research for Alzheimer's disease risk classification. It aims to support the identification of electrophysiological biomarkers relevant to Alzheimer's risk stratification. The dataset was generated at Universidad de Antioquia and is intended for use in biomarker discovery and validation studies.
This dataset contains resting-state EEG recordings from 140 juvenile participants in Colombia, including 74 juvenile offenders and 66 non-offender controls, collected to study neurocognitive patterns associated with delinquency. Recordings were acquired using a 128-channel Biosemi ActiveTwo system during alternating eyes-closed/eyes-open resting-state paradigms. The dataset includes both preprocessed EEG data and extracted spectral power features (mean power, RMS, standard deviation, min/max power, skewness, kurtosis) across delta, theta, alpha, and beta frequency bands for each channel and epoch.
Imported from OpenNeuro ds003800