An open fMRI dataset examining the effects of online social and non-social information distraction on attention
- 1Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
- 2Department of Psychology, Henan Medical University, Xinxiang, Henan China
Abstract
A publicly available, BIDS-compliant multimodal dataset is presented for studying the impact of digital information distraction on attentional processing. Thirty-eight young adults underwent fMRI scanning while performing a global-local attention task under three conditions: social notifications, non-social notifications, and a no-distraction baseline. The dataset includes task-based fMRI, high-resolution structural MRI, trial-level behavioral performance data, and a range of psychological questionnaires assessing digital-media tendencies, affective traits, and attentional control-related individual differences. Raw neuroimaging data, event files, and MRIQC-generated quality-control outputs are provided for all participants. This dataset supports diverse analytic approaches for exploring how different digital cues affect attentional allocation. By offering a well-documented and publicly accessible resource, the Data Descriptor promotes reproducible research and facilitates further investigations into the cognitive and neural mechanisms involved in attention within digitally saturated environments.
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BibTeX
@article{liu2026open,
title = {{An open fMRI dataset examining the effects of online social and non-social information distraction on attention}},
author = {Congcong Liu and Xiangting Dai and Meng Yuan and Juan Kou},
journal = {Scientific Data},
year = {2026},
month = jul,
doi = {10.1038/s41597-026-07827-7},
url = {https://doi.org/10.1038/s41597-026-07827-7},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - An open fMRI dataset examining the effects of online social and non-social information distraction on attention
AU - Congcong Liu
AU - Xiangting Dai
AU - Meng Yuan
AU - Juan Kou
PY - 2026
DA - 2026/07/07
JO - Scientific Data
DO - 10.1038/s41597-026-07827-7
UR - https://doi.org/10.1038/s41597-026-07827-7
AB - A publicly available, BIDS-compliant multimodal dataset is presented for studying the impact of digital information distraction on attentional processing. Thirty-eight young adults underwent fMRI scanning while performing a global-local attention task under three conditions: social notifications, non-social notifications, and a no-distraction baseline. The dataset includes task-based fMRI, high-resolution structural MRI, trial-level behavioral performance data, and a range of psychological questionnaires assessing digital-media tendencies, affective traits, and attentional control-related individual differences. Raw neuroimaging data, event files, and MRIQC-generated quality-control outputs are provided for all participants. This dataset supports diverse analytic approaches for exploring how different digital cues affect attentional allocation. By offering a well-documented and publicly accessible resource, the Data Descriptor promotes reproducible research and facilitates further investigations into the cognitive and neural mechanisms involved in attention within digitally saturated environments.
SN - 2052-4463
ER -