65 results for "connectome" · page 1 of 7 · ranked by relevance
…multi-scale brain parcellations and connectomes ## Overview The multimodal dataset VEPCON follows…
…Processing speed in the human connectome across the lifespan". The overarching goal…
…Processing speed in the human connectome across the lifespan". Research reported in…
This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
A synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.
NOD-EEG provides electroencephalography (EEG) recordings collected from the same subjects and using the same naturalistic ImageNet stimuli as the previously published NOD-fMRI dataset, extending the Natural Object Dataset (NOD) to include temporal dynamics of visual object recognition. Combined with companion MEG data, this multimodal resource enables investigation of neural mechanisms underlying object recognition across naturalistic scenes with both high spatial and high temporal resolution. The dataset includes raw and preprocessed EEG time series and epoched data, along with detailed trial-level event metadata.
…Processing speed in the human connectome across the lifespan". The overall goal…
…Processing speed in the human connectome across the lifespan". Research reported in…
This dataset contains long-term intracranial EEG (iEEG) recordings from 13 patients with focal epilepsy, part of the larger RESPect registry collected at the University Medical Center Utrecht. Recordings include electrocorticography (5 patients) and stereo-electroencephalography (8 patients), organized according to the BIDS specification with detailed session and run metadata reflecting monitoring periods and clinical protocols such as SPESclin. The dataset supports investigations into structural and effective brain connectivity in focal epilepsy.
This dataset comprises multimodal neuroimaging data from a bifocal transcranial magnetic stimulation (TMS) study investigating cortico-cortical paired associative stimulation (ccPAS) and its effects on interhemispheric motor cortex connectivity. Participants underwent TMS-EEG recordings targeting bilateral primary motor cortex with varying interstimulus intervals (4, 9, and 14 ms), combined with structural and functional MRI acquisitions. The dataset includes 64-channel EEG recordings, resting-state fMRI, high-angular-resolution diffusion imaging, and anatomical MRI to characterize spike-timing-dependent plasticity mechanisms in human motor networks.