Dryad
Published July 27, 2017 | Version v1
Dataset Open

Data from: Fractionation of parietal function in bistable perception probed with concurrent TMS-EEG

Authors/Creators

  • 1. University of Sussex

Description

When visual input has conflicting interpretations, conscious perception can alternate spontaneously between these possible interpretations. This is called bistable perception. Previous neuroimaging studies have indicated the involvement of two right parietal areas in resolving perceptual ambiguity (ant-SPLr and post-SPLr). Transcranial magnetic stimulation (TMS) studies that selectively interfered with the normal function of these regions suggest that they play opposing roles in this type of perceptual switch. In the present study, we investigated this fractionation of parietal function by use of combined TMS with electroencephalography (EEG). Specifically, while participants viewed either a bistable stimulus, a replay stimulus, or resting-state fixation, we applied single pulse TMS to either location independently while simultaneously recording EEG. Combined with participant's individual structural magnetic resonance imaging (MRI) scans, this dataset allows for complex analyses of the effect of TMS on neural time series data, which may further elucidate the causal role of the parietal cortex in ambiguous perception.

Notes

behavioural_data
Each participant's data are saved in a separate file, e.g. 'psychophysics_participant_[participant_numer].mat'. The file is a Matlab structure array containing five fields: button presses for the pre-experiment are saved in 'pre_button', those for the main experiment in 'main_button'. Both are a matrix in which each column is a separate trial. Each row is a frame in the presentation of a stimulus. At a refresh rate of 120 Hz this means that 120 rows comprise a second of experimentation. For each frame, a value of 1 indicates a right button press, a value of -1 a left button press and a value of 0 that no button was pressed. 'pre_gamma' contains the gamma shape and scale parameter resulting from the pre-experiment. Dominance durations for the main experiment's replay stimulus were sampled from this gamma distribution. 'main_conditions' is a vector containing the order in which conditions appeared through the trials. Lastly, 'main_output' summarises statistics computed from the experiment, each row is one of the five experimental runs. The columns are trial number, median dominance for the sphere turning left, median dominance for the sphere turning right, median dominance for all percepts, number of percept switches and total mixed percept durations, as well as gamma shape and scale parameters for each trial's dominance durations.
MRI_scans
There are 16 files in the repository, one scan for each participant in NIFTI format. The filename is equivalent to the participant number.
17_EEG_data
EEG data for participant 17.
26_EEG_data
EEG data for participant 26.
32_EEG_data
EEG data for participant 32.
34_EEG_data
EEG data for participant 34.
35_EEG_data
EEG data for participant 35.
36_EEG_data
EEG data for participant 36.
41_EEG_data
EEG data for participant 41.
71_EEG_data
EEG data for participant 71.
73_EEG_data
EEG data for participant 73.
74_EEG_data
EEG data for participant 74.
75_EEG_data
EEG data for participant 75.
79_EEG_data
EEG data for participant 79.
80_EEG_data
EEG data for participant 80.
81_EEG_data
EEG data for participant 81.
87_EEG_data
EEG data for participant 87.
88_EEG_data
EEG data for participant 88.

Files

behavioural_data.zip

Files (9.6 GB)

Name Size Download all
md5:213ffcb4d0623d9aad34e191670365f2
636.8 MB Download
md5:499d63d81038bfd807c964f73cdce0bc
595.2 MB Download
md5:5495a840b58958364c3442467d8b44d1
580.1 MB Download
md5:8c986d84980e7d0155b5eae68aaf04b1
563.6 MB Download
md5:d660101ef0a06a3a605e2e8517e2a9f6
624.7 MB Download
md5:6bae8e6d20359b2a03cfe51e514317ef
542.0 MB Download
md5:9d4c151f4a316668e409710690d8e4d3
627.6 MB Download
md5:28cb07dfa91b885b2ae6959c40d9d145
607.2 MB Download
md5:40c2fb98bef519f2cc289f199f11d57f
610.5 MB Download
md5:a9e8a0cc6fdac00114e44fa0b23d6b4d
525.1 MB Download
md5:d7abc64c851b4ce6cf2049352273e96c
605.9 MB Download
md5:7f011159809ad44b2edc5d7e99ac8433
638.8 MB Download
md5:a01898089f41b22198f020fc8eb825bf
463.6 MB Download
md5:902da81fbe6b75bcfe3ba507937e8fb5
582.9 MB Download
md5:65dbc6d478a74b5669652fdd65584f0e
674.7 MB Download
md5:add968ee5ece3bb899507255e8e71e48
569.7 MB Download
md5:ba3eaff3985e7a9215aa2c03b53b09df
68.6 kB Preview Download
md5:6990ed7b4f261562b091759409ea78b3
180.2 MB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download
md5:c6ffb4a88554015424d64f6174a346e9
2.0 kB Preview Download

Additional details

Related works

Is cited by
10.1038/sdata.2016.65 (DOI)