Abstract
Multivariate pattern classification methods have been successfully applied to decode orientation of visual grating stimuli from BOLD fMRI activity recorded in human visual cortex (Kamitani and Tong, 2005; Haynes and Rees, 2005) [12], [10]. Though there has been extensive research investigating the true spatial scale of the orientation specific signals (Op de Beeck, 2010; Swisher et al., 2010; Alink et al., 2013; Freeman et al., 2011, 2013) [2], [15], [1], [4], [5], it remained inconclusive what spatial acquisition resolution is required, or is optimal, for decoding analyses. The research article entitled “The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 T” Sengupta et al. (2017) [14] studied the effect of spatial acquisition resolution and also analyzed the strength and spatial scale of orientation discriminating signals. In this article, for the first time, we present empirical ultra high-field fMRI data, obtained as a part of the aforementioned study, which were recorded at four spatial resolutions (0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) for orientation decoding in visual cortex. The dataset is compliant with the BIDS (Brain Imaging Data Structure) format, and freely available from the OpenfMRI portal (dataset accession number: http://openfmri.org/dataset/ds000113c ds000113c).
Specifications Table
Subject area | Neuroimaging |
More specific subject area | Early visual system |
Type of data | Ultra High Field (7 T) BOLD fMRI |
How data was acquired | Siemens Magnetom 7 T whole body MRI scanner (Erlangen, Germany) with a 32 receive channel head coil (Nova Medical, Wilmington, MA) |
Data format | Raw and distortion corrected BOLD fMRI data stored in compressed NIFTI format; BIDS-compliant |
Experimental factors | Acquisition resolution (within-subject factor; 0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) |
Experimental features | BOLD fMRI data acquired from 7 participants while they fixated oriented flickering gratings |
Data source location | Magdeburg, Germany |
Data accessibility | Data available at OpenfMRI portal (dataset accession number: http://openfmri.org/dataset/ds000113c ds000113c), as well as Github/ZENODO (DOI: doi:10.5281/zenodo.46756) |
Value of the data
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First publicly available dataset to provide ultra high-field, multi-resolution BOLD fMRI data for a uniform stimulation paradigm targeting the representation of visual orientations in early visual cortex.
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Extension of the 〈http://studyforrest.org〉 dataset with a large amount of auxiliary data for all scanned participants, such as T1, T2, and SWI data for tissue segmentation and blood vessel locations, as well as several additional visual and auditory stimulation paradigms including a retinotopic mapping, and two natural movie stimuli.
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Compliant with the brain imaging data structure (BIDS) standard, hence highly suitable for automated processing.
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Potent dataset for optimization and benchmarking of algorithms, such as pattern classification and feature extraction.
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Flexible and unrestricted data access down to the level of individual files facilitate cloud-based analysis and utilization in (web-based) demonstrations.
1. Data
The dataset of this article was being collected as a part of [14], in which the effect of acquisition resolution on orientation decoding from primary visual cortex and the strength and the true spatial scale of decoding signals were analyzed. This dataset is published publicly in compliance with Brain Imaging Data Structure (BIDS) specification [6]. All participants recruited in this study previously participated in the studyforrest project ([8], [9], [7]. The T1, T2, SWI structural images and the fMRI dataset for retinotopic mapping, which are available from [13], have also been utilized in this study. This section provides information about the released data, but limits its description to aspects that extends the BIDS specifications. All files related to the data acquisitions for a particular participant (described in Table 1) can be located in a sub-<ID>/ses-r<RES>/ directory, where ID is the numeric subject code, and RES is a two-digit acquisition resolution identifier.
Table 1.
Data files | Description |
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participants.tsv | Basic demographics for each participant: gender, age group (five-year bin size), and self-reported handedness. |
*run-??_bold.nii.gz | raw fMRI BOLD images. |
*rec-dico_run-??_bold.nii.gz | Distortion corrected BOLD images [11]. |
*motion_physio.tsv.gz | Whitespace-delimited 6-column text file with motion estimates with translation along X, Y, Z axes in mm and rotation around X, Y, Z axes in deg. It contains one row per fMRI dynamic for each acquisition run. |
*_events.tsv | Text files, one for each acquisition run, with 4-columns. The columns describe the onset, duration of a stimulus trial (in seconds) and the associated stimulus orientation (in deg) presented in the left (lh_orientation), and in the right hemifield (rh_orientation). A stimulus orientation label of none indicates that no stimulus was present in the respective trial (unilateral stimulation). |
*task-coverage* | fMRI acquisition with enhanced spatial coverage at 0.8 mm resolution to facilitate alignment of high-resolution BOLD images with limited coverage to other functional or structural images. |
In order to anonymize the data, information on center-specific study and subject codes have been removed using an automated procedure described in [8]. All human participants were given integer IDs that are consistent across all other data releases of the studyforrest project [8].
2. Experimental design, materials and methods
Functional MRI data were recorded from seven healthy volunteers (age 21–38 years, 5 males) with normal or corrected to normal vision. The experiment had an event related design with each trial consisting of 3 s of flickering grating display and 5 s of medium gray. The random phase shifted sine wave gratings (0.8–7.6° eccentricity, 100% contrast, spatial frequency of 1.4 cycles per degree of visual angle, 125 ms ON/OFF period) were independently oriented at either 0°, 45°, 90°, or 135°. There were 30 such trials in an experimental run. For every session 10 runs were acquired. For additional details on the procedures please refer to [14].
2.1. Functional imaging
The participants were scanned using a 7 T whole body scanner (Siemens, Erlangen, Germany) and a 32 receive channel head coil (Nova Medical, Wilmington, MA). T2*-weighted echo planar images (EPI) (TR/TE=2000/22 ms, FA=90°) with the coverage of the primary visual cortex (parallel to the calcarine sulcus on a tilted axial plane), were acquired for 4 different spatial resolutions in individual scanning sessions. In each scanning session 10 separate scans (one for each experimental run consisting of 121 dynamics) were performed on each subject. In order to position the field-of-view to the same volume in each scan for each subject, Siemens AutoAlign Head LS system was used [3]. The data acquired in all scans were distortion corrected ([11]). The functional acquisition parameters used in this experiment are described in Table 2.
Table 2.
Acquisition resolution | Field of view (FoV) | Acquisition matrix | GRAPPA accel. factor | Phase encoding |
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0.8 mm iso | 128×166.4 mm (AP×LR) | 160×208, 32 slices | 4 | L–R |
1.4 mm iso | 196 mm | 140×140, 32 slices | 3 | A–P |
2.0 mm iso | 200 mm | 100×100, 37 slices | 2 | A–P |
3.0 mm iso | 198 mm | 66×66, 37 slices | 2 | A–P |
The 0.8 mm acquisition had a small coverage and in order to aid corresponding co-registration with the structural image, an additional EPI acquisition was performed that used the same auto-alignment procedure. The details of the acquisition and the co-registration procedure is described in [14].
Acknowledgements
This research was supported by a grant from the German Research Foundation (DFG) awarded to S. Pollmann and O. Speck (DFG PO 548/15-1). M. Hanke was supported by funds from the German Federal State of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences.
Footnotes
Transparency data associated with this article can be found in the online version at 10.1016/j.dib.2017.05.014.
Transparency document. Supplementary material
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