Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/163045
Title: | Dataset of parent-child hyperscanning functional near-infrared spectroscopy recordings | Authors: | Bizzego, Andrea Gabrieli, Giulio Azhari, Atiqah Lim, Mengyu Esposito, Gianluca |
Keywords: | Social sciences Social sciences::Psychology |
Issue Date: | 2022 | Source: | Bizzego, A., Gabrieli, G., Azhari, A., Lim, M. & Esposito, G. (2022). Dataset of parent-child hyperscanning functional near-infrared spectroscopy recordings. Scientific Data, 9(625). https://dx.doi.org/10.1038/s41597-022-01751-2 | Project: | M4081597 RG55/18 2018-T1-001-172 |
Journal: | Scientific Data | Abstract: | The term “hyperscanning” refers to the simultaneous recording of multiple individuals’ brain activity. As a methodology, hyperscanning allows the investigation of brain-to-brain synchrony. Despite being a promising technique, there is a limited number of publicly available functional Near-infrared Spectroscopy (fNIRS) hyperscanning recordings. In this paper, we report a dataset of fNIRS recordings from the prefrontal cortical (PFC) activity of 33 mother-child dyads and 29 father-child dyads. Data was recorded while the parent-child dyads participated in an experiment with two sessions: a passive video attention task and a free play session. Dyadic metadata, parental psychological traits, behavioural annotations of the play sessions and information about the video stimuli complementing the dataset of fNIRS signals are described. The dataset presented here can be used to design, implement, and test novel fNIRS analysis techniques, new hyperscanning analysis tools, as well as investigate the PFC activity in participants of different ages when they engage in passive viewing tasks and active interactive tasks. | URI: | https://hdl.handle.net/10356/163045 | ISSN: | 2052-4463 | DOI: | 10.1038/s41597-022-01751-2 | DOI (Related Dataset): | 10.21979/N9/35DNCW | Schools: | School of Social Sciences | Departments: | Division of Psychology | Rights: | © 2022 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SSS Journal Articles |
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s41597-022-01751-2.pdf | Published Version | 1.16 MB | Adobe PDF | ![]() View/Open |
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