https://researchdata.se/en/catalogue Search results en This dataset was collected as part of a European Research Council funded project investigating bodily and cognitive aspects of self-processing and their alterations in complicated grief. This project was approved by the Swedish Ethical Review Authority (DNR 2024-06433-01). The inclusion of participants and the data acquisition was carried out at Linköping University. The data presented here, stems from 40 healthy adult participants recruited in Sweden over a period of 12 month in 2025. The dataset comprises pre-processed functional magnetic resonance imaging (fMRI) data acquired during a self-other-touch task and a self-referential thinking task, together with task log files, behavioral data from an agency task, demographic information, and questionnaires assessing self-processing and related psychological constructs. In the self-other-touch task, participants experienced touch delivered either by themselves or by another person. In the self-referential thinking task, participants performed trait-judgement evaluations involving themselves, a close and a distant other. To evaluate implicit agency, a version of an intentional binding task was used. The dataset was originally collected to investigate cognitive and bodily dimensions of self-processing in healthy individuals. These multimodal data can be reused for studies of self-processing, self-referential cognition, bodily self-awareness, social cognition, agency, individual differences, and for the development and validation of behavioral and neuroimaging analysis methods. LiU secure repository is a data repository that hosts research data which cannot be openly available for ethical or legal reasons. LiU secure repository is managed by Linköping University Library as a service to researchers at Linköping University (Sweden). For requests of access or further information, please contact datamanagement@liu.se Tue, 08 Sep 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-22661422 https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-22661422 Linköping University Enmalm, Adam Thibault, Scordel Johanna, Radegård Orłowski, Paweł Boehme, Rebecca ABSTRACT A central feature of consciousness is the association between external events and subjective experiences of content. These experiences range from low level (detection) to high level (identification). For example, a visual experience may range from seeing something on a computer screen (detection) to seeing the digit 3 (identification). In research, neural processes that correlate with these experiences are called neural correlates of consciousness (NCCs). In vision, a candidate NCC is the visual awareness negativity (VAN) that is derived from event-related potentials, occurring about 200 ms after stimulus onset over posterior electrode sites. Because previous research does not resolve whether VAN is more sensitive to low-level experiences (detection awareness) than high-level experiences (identification awareness), we conducted two preregistered experiments. In both experiments, two staircases continuously adjusted stimulus opacity to separately target detection awareness and identification awareness. In Experiment 1, subjects viewed either individual digits (N = 15) or individual letters or digits (N = 15). For both types of stimuli, VAN was similarly sensitive to detection awareness and identification awareness. As a follow up, Experiment 2 (N = 28) examined whether stimulus size affects VAN to identification awareness using digit stimuli. Results showed identification VAN for both digit sizes, and VAN was unaffected by stimulus size. These results confirm the sensitivity of VAN to both low-level experiences (detection) and high-level experiences (identification). However, results emphasize the limited specificity of VAN in separating between low-level and high-level experiences, suggested by the similarity of VAN in both conditions. ETHICS STATEMENT In accordance with the Declaration of Helsinki, subjects provided their written informed consent (this included their consent that their data would be shared in anonymized form). The study was approved by the Swedish Ethical Review Authority (2022-06409-01). The uploaded data are considered anonymized because there is no key that links test subjects to their data. DATE & LOCATION OF DATA COLLECTION The study comprised two experiments. Subjects for experiment 1 (N = 31; Final sample: N = 30) were tested between May 2023 and June 2023 at the Department of Psychology, Campus Albano, Stockholm, Sweden. Subjects for experiment 2 (N =29; Final sample: N = 28) were tested between October 2023 and November 2023 at the Department of Psychology, Campus Albano, Stockholm, Sweden. DATA & FILE OVERVIEW The files contain the raw data, scripts, and results of main and supplementary analyses of the electroencephalography (EEG) study reported in the main publication. Note: In the figures and analysis scripts, experiment 1 is called K17, and experiment 2 is called VAN3. File Structure There are three main folders: - CompleteResults: Contains all results files generated in R-quarto (in html format), taken from each experiment folder. - Experiment_1: Contains all material, including figures, regarding experiment 1. - Experiment_2: Contains all material, including figures, regarding experiment 2. This folder also contains R folder with scripts to analyze data across experiments. Raw Data and Scripts for Experiment and Analysis For raw data and scripts, see folders Experiment_1 and Experiment_2 for supplementary files regarding experiment 1 and experiment 2, respectively. The structure of these folders is identical. Within these folders, see: - Data folder for raw .bdf-files and corresponding logfiles. - MNE folder for scripts of MNE-python for processing EEG-data. - Psychopy folder for scripts to run the experiments. - R folders for scripts to analyze the data. Thu, 12 Feb 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-26879077 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-26879077 Stockholm University Stefan Wiens Supplementary material for the associated publication. ABSTRACT In the search for the neural correlates of auditory consciousness, a candidate has been found using electroencephalography: the auditory awareness negativity (AAN). Earlier studies have investigated the AAN in response to lateralized sound. With headphones, there is a clear lateralization of AAN when two auditory lateralization cues are combined: the interaural level difference (ILD) and interaural time difference (ITD). To separate the contribution of these cues to a lateralized AAN, we tested three stimulus conditions with headphones: A combination of ILD and ITD, solely ITD, and monaural stimulation. Results suggest that ILD and ITD are required in conjunction for a lateralized AAN, and neither ITD nor monaural stimulation can yield a lateralized AAN. These results suggest that event-related potentials may be limited in measuring the lateralization of the neural correlates of auditory consciousness to lateralized sounds, depending on auditory cues and acoustic environment. ETHICS STATEMENT Ethical review and approval were not required for studying human subjects in accordance with local law and institutional requirements, as we did not collect personal and biological data that can be traced back to the subject. The experiment adhered to the declaration of Helsinki. Subjects were required to provide their written informed consent to participate in this study and that their raw data will be shared in anonymized form. The uploaded data are considered anonymized because there is no key that links test subjects to their data. DATE & LOCATION OF DATA COLLECTION The study comprised two experiments. Subjects for experiment 1 (N = 32; Final sample: N = 31) were tested between November 2023 and February 2024 at the Department of Psychology, Campus Albano, Stockholm, Sweden. Subjects for experiment 2 (N = 44; Final sample: N = 40) were tested between February 2024 and May 2024 at the Department of Psychology, Campus Albano, Stockholm, Sweden. DATA & FILE OVERVIEW The files contain the raw data, scripts, and results of main and supplementary analyses of the electroencephalography (EEG) study reported in the main publication. !NB! In the figures and analysis scripts, experiment 1 is called AAN_ITD, and experiment 2 is called AAN_MONO. Within experiment 1, the ILD+ITD condition is called “control.” File Structure The supplementary materials are organized by experiment/analysis within the study. At the top level there is one Readme.pdf file and three main folders: * Eklund_Reanalysis: Contains all material regarding the reanalysis of Eklund et al (2021). * Experiment 1: Contains all material, including figures, regarding experiment 1. * Experiment 2: Contains all material, including figures, regarding experiment 2. Main Results For results, ERPs, and topoplots, see folders Experiment_1 and Experiment_2. The folders are identical in structure, containing: + Analysis files, in .html-format, with all results and statistical models separated by AAN and LP. These files are created using Quarto in R, and contain code snippets to all available results, to allow for transparency into analyses. + ERPs of grand averages of AAN and LP. + Topographical plots of grand averages of AAN and LP. Folder Experiment_2 additionally contains files regarding comparative analyses between experiment 1 and 2: + Analysis_Comparison_AAN.html for comparison of AAN between experiments. + Analysis_Comparison_LP.html for comparison of LP between experiments. Raw Data and Scripts for Experiment and Analysis For raw data and scripts, see folders Experiment_1 and Experiment_2 for supplementary files regarding experiment 1 and experiment 2, respectively. Within these folders, see the zipped raw data files. The structure of these folders is identical. Within these folders, see: + Data folder for raw .bdf-files and corresponding logfiles. + Mne folder for scripts of MNE-python for processing EEG-data. ++ Preprocess.py preprocesses the raw EEG files and applies ICA. ++ Analysis_epoch constructs the figures. ++ Results folder contains ERPs separately per subject and grand averages. + Psychopy folder for scripts to run the experiments. ++ Exp_AAN_ITD.py runs experiment 1. ++ Exp_AAN_MONO.py runs experiment 2. ++ Settings.tsv sets, and logs, staircasing and behavioral results. ++ The rest are supporting files used by our lab. + R folder for scripts to analyze the data. ++ Raw code in steps (numbered 1, 2, 3) to compute and analyze models. +++ For comprehensive summary with code snippets, see Analysis (.html) files above, in folders Experiment_1 and Experiment_2. ++ For results, and Bayesian models, see results-subfolder: +++ Subfolder figures contains mean amplitude plots (such as figure 1 and 2, published in the article). Reanalysis of Eklund et al (2021) For reanalyzed data from Eklund et al. (2021), see folder Eklund_Reanalysis: + reanalysis_AAN_Eklund_2021.html for reanalyzed AAN. + reanalysis_LP_Eklund_2021.html for reanalyzed LP. + For raw data and scripts of the reanalysis, see Eklund_reanalysis_raw_data.zip Tue, 14 Jan 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-28052888 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-28052888 Stockholm University Stefan Wiens Mingaile Greiciute Billy Gerdfeldter Supplementary material for the associated publication. ABSTRACT The neurological basis for perceptual awareness remains unclear, and theories disagree as to whether sensory cortices per se generate awareness. Critically, neural activity in the sensory cortices is only a neural correlate of consciousness (NCC) if it closely matches the contents of perceptual awareness. Research in vision and touch suggest that contralateral activity in sensory cortices is an NCC. Similarly, research in hearing with two sound sources (left and right) presented over headphones also suggests that a candidate NCC called the auditory awareness negativity (AAN) matches perceived location of sound. The current study used 13 different sound sources presented over loudspeakers for natural localization cues and measured event-related potentials (ERPs) to a threshold stimulus in a sound localization task. Preregistered Bayesian mixed models provided moderate evidence against an overall AAN and very strong evidence against its lateralization. Because of issues regarding data quantity and quality, exploratory analyses with aggregated data from multiple loudspeakers were conducted. Results provided moderate evidence for an overall AAN and strong evidence against its lateralization. Nonetheless, the interpretations of these results remain inconclusive. Therefore, future research should reduce the number of conditions and/or test over several sessions to procure a sufficient amount of data. Taken at face value, the results may suggest issues with AAN as an NCC of auditory awareness, as it does not laterally map onto experiences in a free-field auditory environment, in contrast to the NCCs of vision and touch. ETHICS STATEMENT Ethical review and approval were not required for studying human subjects in accordance with local law and institutional requirements, as we did not collect personal and biological data that can be traced back to the subject. The experiment adhered to the declaration of Helsinki. Subjects were required to provide their written informed consent to participate in this study and that their raw data will be shared in anonymized form. The uploaded data are considered anonymized because there is no key that links test subjects to their data. DATE & LOCATION OF DATA COLLECTION Subjects (N = 56; Final sample: N = 37) were tested between August 2022 and October 2022 at the Department of Psychology, Campus Albano, Stockholm, Sweden. DATA & FILE OVERVIEW See readme file for details. Thu, 15 Aug 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-25610217 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-25610217 Stockholm University Stefan Wiens Billy Gerdfeldter New version: The python scripts to run the lab experiment were added. Open data: Neural electrophysiological correlates of detection and identification awareness Supplementary material for the associated publication. OVERVIEW Humans have conscious experiences of the events in their environment. Previous research from electroencephalography (EEG) has shown visual awareness negativity (VAN) at about 200 ms to be a neural correlate of consciousness (NCC). In the present study, the stimulus was a ring with a Gabor patch tilting either left or right. On each trial, subjects rated their awareness on a three-level perceptual awareness scale that captured both detection (something vs. nothing) and identification (identification vs. something). Separate staircases were used to adjust stimulus opacity to the detection threshold and the identification threshold. Event-related potentials were extracted for VAN and late positivity. DATE & LOCATION OF DATA COLLECTION: Subjects (N = 43, student volunteers) were tested between 2022-maj-23 and 2022-june-30 at the Department of Psychology, Campus Albano, Stockholm, Sweden. DATA & FILE OVERVIEW The files contain the raw data, scripts, and results of main and supplementary analyses of the electroencephalography (EEG) study reported in the main publication. For convenience, the report files of the main analyses in the manuscript are saved separately. Visual awareness negativity (VAN) results: analysis_VANo_clean_data_blocklength_16_pawarelimit0.8_maxopadetect_maxopaidentify_badEEGyes_ntrials25.html Late positivity (LP) results: analysis_LPo_clean_data_blocklength_16_pawarelimit0.8_maxopadetect_maxopaidenify_badEEGyes_ntrials25.html bdf_up_to_20.zip: contains EEG data files for the first 20 subjects in .bdf format (generated by the Biosemi amplifier) bdf_after_20.zip: contains EEG data files for the remaining subjects in .bdf format (generated by the Biosemi amplifier) Log.zip: contains log files of the EEG session (generated by Python) readme_notes_on_id.txt: Information about issues during data collection psychopy.zip: contains scripts in python and psychopy to run the experiment. Scripts were written by Rasmus Eklund. MNE-python.zip: contains scripts in MNE-python to preprocess the EEG data. Scripts were written by Rasmus Eklund. R_graded.zip The main reports are in R_graded > results > reports. They are .html files generated with Quarto. photodiode_supplement.pdf: Supplementary analysis of the relationship between python opacity settings and actual changes on the computer screen METHODOLOGICAL INFORMATION The visual stimuli were gabor-grated rings. Subjects rated their awareness of the rings. Event-related potentials were computed from the EEG data. The experiment was programmed in Python: https://www.python.org/ The EEG data were recorded as .bdf files with an Active Two BioSemi system (BioSemi, Amsterdam, Netherlands; www.biosemi.com) Instrument- or software-specific information needed to interpret the data: - MNE-Python (Gramfort A., et al., 2013): https://mne.tools/stable/index.html# - R and relevant packages: https://www.r-project.org/ Thu, 14 Sep 2023 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-21354195 https://researchdata.se/en/catalogue/dataset/doi-10-17045-sthlmuni-21354195 Stockholm University Stefan Wiens