75 results for "fMRI" · page 6 of 8 · ranked by relevance
Imported from OpenNeuro ds004022
…used in a publicly available fMRI dataset (Li et al., 2022). ------------------------------------------------------------------------ ## Experimental…
The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
…These predictions were upheld in both fMRI and MEG, indicating that sequence…
EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.
…T1w, T2w, and DWI) and functional MRI (fMRI) acquired during task performance…
This dataset comprises raw EEG recordings collected to investigate the time-course of food representation in the human brain. Participants viewed food-related stimuli while EEG was recorded, enabling analysis of temporal neural dynamics underlying food perception and categorization. The dataset supports research on visual object and food representation using time-resolved decoding approaches.
…J. (2020). > The Alice datasets: fMRI & EEG observations of natural language comprehension…
Imported from OpenNeuro ds006126
MEG-SCANS is a magnetoencephalography (MEG) dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants performing an auditory speech experiment. Stimuli included audiobooks, Oldenburger Matrix Sentence Test sentences at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality checks. The dataset also includes structural MRI scans, hearing screening results, empty-room recordings, and audio stimulus materials, organized in BIDS format to support encoding/decoding analyses of speech-evoked brain responses.