DOI: 10.6084/m9.figshare.28225415.v3
title: NIMH Simultaneous EEG-FMRI Dataset Supporting the Manuscript 'Autonomic physiological coupling of the global fMRI signal<b>'</b>

description: Simultaneous EEG-fMRI datasets supporting the study <i>Autonomic physiological coupling of the global fMRI signal. </i>Data were collected in the Advanced MRI Section of the NINDS, NIH. In addition, source data for the analytic outputs of the manuscript (stored as nifti files) are stored in the figures directory.Preprocessing and analysis pipelines are available at:https://github.com/tsb46/fmri_arousalThree simultaneous EEG-fMRI datasets from an overlapping group of subjects were collected in three conditions - resting-state (ME-REST, as labeled in the manuscript), a sparse event-related task fMRI dataset with auditory cues followed by a deep breath (ME-TASK), and a sparse-event related task fMRI dataset with auditory cues followed by a button response (ME-TASK-CUE).Anatomical (T1w) and functional MRI images are supplied in raw nifti format. EEG and peripheral physiology (PPG, Respiratory) are provide in minimally-preprocessed form in .mat files. Peripheral physiology data has already been trimmed to the start and end of the fMRI scans. The EEG dataset has been previously preprocessed using the following pipeline (as described in the manuscript):<i>Preprocessing of EEG recordings in the ME-REST, ME-TASK and ME-TASK-CUE datasets are described in </i><i>(Goodale et al., 2021)</i><i>. Briefly, channel time courses were first corrected for gradient artifacts through the average artifact subtraction method </i><i>(Allen et al., 2000)</i><i>. B</i><i>allistocardiogram artifacts were removed by subtraction of an average artifact template locked to cardiac R-peaks, followed by independent component analysis (ICA) of the template-subtracted time courses. </i><i>The scalp EEG channel time courses were referenced to channel FCz for analysis.</i><i>These EEG preprocessing steps were performed with the BrainVision Analyzer software.</i>Data should be placed in the 'data' directory of the github code repo (see URL above) for preprocessing. See repo for instructions on preprocessing.<br>Descriptions of the datasets (as described in the manuscript) are provided below:<br><br><i>Simultaneous multi-echo fMRI-EEG eyes-closed resting-state scans (ME-REST) were acquired from 11 healthy, right-handed participants (6 females, mean age = 25.9 years). All subjects provided written informed consent, and human subjects protocols were approved by the Institutional Review Boards of the National Institutes of Health and Vanderbilt University. Two resting-state sessions were recorded for four of the subjects, creating a total of 15 scans. Simultaneous multi-echo fMRI-EEG respiration task scans (ME-TASK) were acquired under the same acquisition protocol for six healthy, right-handed participants (4 females, mean age = 30.5). Two task sessions were recorded for three of the subjects, creating a total of 9 scans. The respiration task experimental design consisted of a sparse event-related design with instructions to the participants to take a deep breath in response to an auditory cue (a constant tone). The interstimulus interval (ISI) between auditory cues was randomly jittered between the range of 60.55 and 131.25 sec. Auditory cue timing was consistent across scans. One participant overlapped between the resting-state and respiration task sessions. Simultaneous multi-echo fMRI-EEG reaction time task scans (ME-TASK-CUE) were acquired under the same acquisition protocol for twelve healthy, right-handed participants (6 females, mean age = 25.6 years). The reaction time task experimental design consisted of a sparse event-related design with instructions to the participants to press a button in response to an auditory cue. For some subjects (N=5), the ISI between auditory cues was set to 35s±6s, and for the rest (N=7) the ISI was randomly jittered between 8 and 89 secs. Nine participants overlapped between the resting-state and reaction time task sessions.</i><br><i>Detailed MRI/EEG acquisition parameters are provided in Goodale et al. </i><i>(2021)</i><i>. Briefly, anatomical T1-weighted structural and multi-echo EPI functional scans were collected on a 3T Siemens Prisma scanner with a Siemens 64-channel head/neck coil. The multi-echo EPI sequence was acquired with TR = 2100 ms, echo times = 13.0, 29.4, and 45.7 ms, flip angle = 75 degrees, and voxel size = 3mm isotropic. The duration of the resting-state scan was 24.5 minutes, corresponding to a total of 700 volumes. The duration of the respiration task scan was slightly variable (14-15 minutes across subjects), corresponding to a total of 400-435 volumes, depending on the subject. Simultaneous scalp EEG (sampling rate = 5 kHz) was acquired during the resting-state and respiration task using a 32-channel MR-compatible system. Photoplethysmography (PPG) and respiration belt signals (sampling rate: 2 kHz) were acquired during both the resting-state and respiration task sessions. The PPG transducer was placed on the left index finger. MRI scan triggers were recorded along with EEG and physiological signals for data synchronization.</i>