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MNE-somato-data-bids ==================== This dataset contains the MNE-somato-data in BIDS format. The conversion can be reproduced through the Python script stored in the `/code` directory of this dataset. See the README in that directory. The `/derivatives` directory contains the outputs of running the FreeSurfer pipeline `recon-all` on the MRI data with no additional commandline options (only defaults were used): $ recon-all -i sub-01\_T1w.nii.gz -s 01 -all After the `recon-all` call, t

Participants

1

Size

334 MB

Data collection took place at the Meditation Research Institute (MRI) in Rishikesh, India under the supervision of Arnaud Delorme, PhD. The project was approved by the local MRI Indian ethical committee and the ethical committee of the University of California San Diego (IRB project # 090731). Participants sat either on a blanket on the floor or on a chair for both experimental periods depending on their personal preference. They were asked to keep their eyes closed and all lighting in the room

Participants

13

Size

2.26 GB

--- version 1.0.0 --- initial release Raw iEEG data + pre and post surgery MRI No DOI to data No reference to the published study (still in press)

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6

Size

11.0 GB

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20

Size

39.8 GB

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47.1 GB

**PARADIGM:** The study uses the method of guided imagery to induce resting, eyes-closed participants using voice-guided imagination to enter distinct 15 emotion states during acquisition of high-density EEG data. During the study, participants listen to 15 voice recordings that each suggest imagining a scenario in which they have experienced -- or would experience the named target emotion. Some target emotions have positive valence (e.g., joy, happiness), others negative valence (e.g., sadn

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34

Size

36.0 GB

## Audio-Visual Attention Shift Experiment **Project name:** [Sensory processing in aging] **Years the project ran:** 2007-2008 **Brief overview of experiment task:** The purpose of this Auditory-Visual Attention Shift study was to explore the effects of aging on selective attending and responding to auditory and visual stimulus differences using an interleaved dual-oddball audio-visual task design. EEG and EOG channels were acquired. **Data collection.** Scalp EEG data were collected fr

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49

Size

7.70 GB

This dataset is a part of the data used for the study: 'Kandemir, A.L., Litvak, V., Florin, E., 2020. The comparative performance of DBS artefact rejection methods for MEG recordings, NeuroImage, 2020, https://doi.org/10.1016/j.neuroimage.2020.117057.' Please use the latest version of the dataset. For detailed information about measurement protocol please refer to https://doi.org/10.1016/j.neuroimage.2020.117057. Additional information about CTF Phantom measurement is provided below.

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2

Size

20.1 GB

Link to published paper for this data resource: https://rdcu.be/b57kz This collection contains data from 26 human patients who underwent electrical stimulation during functional magnetic resonance imaging (es-fMRI). The patients had medically refractory epilepsy requiring surgically implanted intracranial electrodes in cortical and subcortical locations. One or multiple contacts on these electrodes were stimulated while simultaneously recording BOLD-fMRI activity in a block design. Multiple run

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26

Size

18.6 GB

The MEG files contain a channel with triggers necessary for event marking and timing. Separate event files with onsets are provided in the participant directories for completeness only; the MEG triggers should be used for actual onsets in analysis. The delay between the trigger and the visual onset of an on-screen event sent by the projector is approximately 20 ms, as estimated using a photodiode. Memory phase triggers: At the onset of a trial, the first trigger represents the category (1-8) of

Participants

25

Size

1.68 MB