MR connectomics: a conceptual framework for studying the developing brain
Open accessAbstract
THE COMBINATION OF ADVANCED NEUROIMAGING TECHNIQUES AND MAJOR DEVELOPMENTS IN COMPLEX NETWORK SCIENCE, HAVE GIVEN BIRTH TO A NEW FRAMEWORK FOR STUDYING THE BRAIN: "connectomics." This framework provides the ability to describe and study the brain as a dynamic network and to explore how the coordination and integration of information processing may occur. In recent years this framework has been used to investigate the developing brain and has shed light on many dynamic changes occurring from infancy through adulthood. The aim of this article is to review this work and to discuss what we have learned from it. We will also use this body of work to highlight key technical aspects that are necessary in general for successful connectome analysis using today's advanced neuroimaging techniques. We look to identify current limitations of such approaches, what can be improved, and how these points generalize to other topics in connectome research.
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Structural connectivity shapes and constrains functional networks throughout life.
“Second, structural connectivity shapes and constrains functional networks across the lifespan (Betzel et al., 2014; Hagmann et al., 2012; Vertes and Bullmore, 2015).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Hagmann et al., 2012
Infancy is accompanied by specific changes in neurovascular coupling.
“there is good reason to suspect that infancy is accompanied by specific changes in neurovascular coupling (Hagmann et al., 2012).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Hagmann et al., 2012
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References 230 · Cited by 96
Research works printed but not linked: 4
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- Authors
- Hagmann, P., Grant, P. E., & Fair, D. A.
- Affiliations
- Centre Hospitalier Universitaire Vaudois (CH)
- Boston Children's Hospital (US)
- Oregon Health & Science University (US)
- Corresponding author
- Hagmann, Patric
- Venue
- Frontiers in Systems Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2012
- Volume
- 6
- Pages
- 43-43
- ISSN
- 1662-5137 (ISSN-L)
- PMC
- PMC3374479
- OpenAlex
- W2049130306
- Cited by
- 96
- References
- 230
- Citations by year
- 2025: 2 · 2024: 5 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 6 · 2019: 9 · 2018: 14 · 2017: 6 · 2016: 10 · 2015: 8 · 2014: 15 · 2013: 10 · 2012: 2
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Frontiers in Systems Neuroscience (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- IRIS (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- SERVAL (Université de Lausanne) (submittedVersion, other-oa)
- Funders
- Fondation Leenaards
- National Institutes of Health (UL1TR000128)
- National Institute of Mental Health (R01MH096773)
- National Center for Advancing Translational Sciences
- 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
- connectomics, brain development, dynamic brain networks, functional connectivity, neuroimaging, network science
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