…multi-source interference task (MSIT) and Sternberg’s memory task * Blood tests…
This case study records physiological and EEG data from a self-described practitioner of energy medicine who performed directed therapeutic intent on live and damaged cells. Across 60 double-blind treatment and control sessions, cell types (live, dead/x-rayed, or medium only) were randomized and concealed from both the practitioner and the experimenter. Matched control cells treated by a sham therapist provide behavioral measures of cellular outcomes.
…2021, "The hippocampus as the switchboard between perception and memory": intracranial EEG…
Raw and preprocessed magnetoencephalography (MEG) recordings from participants viewing objects that moved along trajectories and were either occluded or disappeared. The dataset supports investigation of how the brain represents objects during dynamic occlusion. It includes behavioural and eye-tracking data as source data, and preprocessed epochs in CoSMoMVPA format.
…a load-3 object working memory task. Please see the associated publication…
EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
ROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005857-blue…
This dataset contains EEG recordings from 24 pairs of participants performing a 4-way categorisation task based on rules they first agreed upon together. Participants also completed pre- and post-tests on the same stimuli. The data were collected to investigate how collaborative rule learning promotes information alignment between interacting brains.
This dataset contains EEG recordings from a repeated awakening study of propofol sedation. It examines whether EEG complexity measures can capture dreaming and subjective experience during sedation. Recordings cover wakeful eyes-open and eyes-closed rest, sedation rest, and one-minute resting periods preceding each awakening, with some sessions including transcranial magnetic stimulation.