Open access dataset of task-free hemodynamic activity in 4-month-old infants during sleep using fNIRS.
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Publication Date
2022-03-25Journal Title
Sci Data
ISSN
2052-4463
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
1
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Blanco, B., Molnar, M., Carreiras, M., & Caballero-Gaudes, C. (2022). Open access dataset of task-free hemodynamic activity in 4-month-old infants during sleep using fNIRS.. Sci Data, 9 (1) https://doi.org/10.1038/s41597-022-01210-y
Abstract
Spontaneous, task-free, hemodynamic activity of the brain provides useful information about its functional organization, as it can describe how different brain regions communicate to each other. Neuroimaging studies measuring the spontaneous activity of the brain are conducted while the participants are not engaged in a particular task or receiving any external stimulation. This approach is particularly useful in developmental populations as brain activity can be measured without the need for infant compliance and the risks of data contamination due to motion artifacts. In this project we sought to i) characterize the intrinsic functional organization of the brain in 4-month-old infants and ii) investigate whether bilingualism, as a specific environmental factor, could lead to adaptations on functional brain network development at this early age. Measures of spontaneous hemodynamic activity were acquired in 4-month-old infants (n = 104) during natural sleep using functional near-infrared spectroscopy (fNIRS). Emphasis was placed on acquiring high-quality data that could lead to reproducible results and serve as a valuable resource for researchers investigating the developing functional connectome.
Keywords
Brain, Humans, Spectroscopy, Near-Infrared, Sleep, Infant, Hemodynamics, Connectome
Sponsorship
Eusko Jaurlaritza (BERC 2018-2021, PRE_2018_2_0154, PIBA_2019_104)
Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (506948, 506993)
Ministerio de Economía y Competitividad (PID2019-105520GB-100, RYC-2017- 21845, PSI2014-5452-P)
Eusko Jaurlaritza (Basque Government) (PIBA_2019_104, PRE_2018_2_0154, BERC 2018-2021)
Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness) (PSI2014-5452-P, RYC-2017- 21845, PID2019-105520GB-100)
Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) (506948, 506993)
Identifiers
35338168, PMC8956728
External DOI: https://doi.org/10.1038/s41597-022-01210-y
This record's URL: https://www.repository.cam.ac.uk/handle/1810/336492
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