PsiConnect
…The large sample, multimodal imaging, contextual diversity, and behavioural follow-ups enable…
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- 933 GB
- Updated
- Jun 21, 2026
100 results for "multimodal neurophysiology" · page 4 of 10 · ranked by relevance
…The large sample, multimodal imaging, contextual diversity, and behavioural follow-ups enable…
This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.
…community-driven standard for organizing neurophysiology data along with its metadata. ### Structure…
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 concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.
This dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
…A community- driven specification for organizing neurophysiology data along with its metadata…
A longitudinal motor imagery EEG dataset from 18 brain-computer interface (BCI)-naive subjects acquired across 6 sessions (1 offline + 5 online) to investigate transfer learning and domain adaptation for calibration-free BCI training. Subjects performed left/right hand motor imagery tasks with visual feedback using 22 EEG channels sampled at 512 Hz. The dataset compares Generic Recentering (unsupervised) and Personally Assisted Recentering (supervised) domain adaptation frameworks, with features extracted as covariance matrices and classified using Riemannian geometry-based methods.
…dataset, longitudinal recordings, task-based neurophysiology ## BIDS Organization - dataset_description.json - participants…
This dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.