The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Predicting individual brain maturity using dynamic functional connectivity
Open accessAbstract
Neuroimaging-based functional connectivity (FC) analyses have revealed significant developmental trends in specific intrinsic connectivity networks linked to cognitive and behavioral maturation. However, knowledge of how brain functional maturation is associated with FC dynamics at rest is limited. Here, we examined age-related differences in the temporal variability of FC dynamics with data publicly released by the Nathan Kline Institute (NKI; n = 183, ages 7-30) and showed that dynamic inter-region interactions can be used to accurately predict individual brain maturity across development. Furthermore, we identified a significant age-dependent trend underlying dynamic inter-network FC, including increasing variability of the connections between the visual network, default mode network (DMN) and cerebellum as well as within the cerebellum and DMN and decreasing variability within the cerebellum and between the cerebellum and DMN as well as the cingulo-opercular network. Overall, the results suggested significant developmental changes in dynamic inter-network interaction, which may shed new light on the functional organization of typical developmental brains.
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“Over development, rs-fcMRI networks show increased within-subject variability (Hutchison and Morton, 2015; Marusak et al., 2016; Qin et al., 2015), consistent with EEG studies showing that signal complexity increases over development (McIntosh et al., 2008; Vakorin et al., 2011).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Qin et al., 2015
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Metadata
- Authors
- Qin, J., Chen, S.-G., Hu, D., Zeng, L.-L., Fan, Y.-M., Chen, X.-P., & Shen, H.
- Affiliations
- National University of Defense Technology (CN)
- Corresponding author
- Shen, Hui
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2015-07-16
- Volume
- 9
- Pages
- 418-418
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC4503925
- OpenAlex
- W1587698431
- Cited by
- 117
- References
- 73
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 10 · 2023: 11 · 2022: 17 · 2021: 16 · 2020: 12 · 2019: 12 · 2018: 12 · 2017: 11 · 2016: 8
- FWCI
- 6.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Key Laboratory of Human Factors Engineering
- National Natural Science Foundation of China (2013CB329401, 61375034, 61375111)
- National Key Research and Development Program of China (61375034, 61375111, 2013CB329401)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- dynamic functional connectivity, brain maturation, developmental trajectories, individual differences, default mode network, cerebellum, visual network, cingulo-opercular network, resting-state functional connectivity
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