White matter maturation reshapes structural connectivity in the late developing human brain

By Patric Hagmann, Olaf Sporns, N. Madan, Leila Cammoun, R. Pienaar, Van J. Wedeen, Reto Meuli, Jean-Philippe Thiran, P. Grant. Proceedings of the National Academy of Sciences of the United States of America, 2010

714 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/c05ac6172b12cf1bbb37581d2098b99455afad81

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Citations in the corpus

A Convergent Functional Architecture of the Insula Emerges Across Imaging Modalities (2012, neutral): “Given that recent work suggests structure-function relationships strengthen from childhood to adulthood (Hagmann et al., 2010), it will be important to examine whether the convergence among these modalities breaks down in children, in elderly populations, or in clinical or psychiatric conditions.”
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis (2012, methodology): “CMs have been derived from structural and fMRI data from the same subjects in several studies, indicating moderate correspondence of the structural and functional connectivity strength between regions (Honey et al., 2007, 2009; Hagmann et al., 2010).”
Metric learning with spectral graph convolutions on brain connectivity networks (2018, background): “This is primarily due to the fact that associations between the topological organisation of these networks and brain development (Hagmann et al., 2010), function (Smith et al.”
The human connectome: Origins and challenges (2013, background): “Other studies (e.g. Greicius et al., 2009; Hagmann et al., 2010; Skudlarski et al., 2008; van den Heuvel et al., 2009), including some in nonhuman primates (Adachi et al., 2012), have confirmed a robust, albeit complex, relationship between structural connections and spontaneous dynamic…”
Investigating White Matter Development in Infancy and Early Childhood using Myelin Water Faction and Relaxation Time Mapping (2012, background): “In addition to the low specificity of measures, few imaging studies have spanned themost rapid and dynamic stage of neurodevelopment: birth through 5 years of age (Almli et al., 2007; Hagmann et al., 2010; Huang et al., 2006; Leppert et al., 2009; Provenzale et al., 2007).”
Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms (2017, background): “Any alterations occurring at this macro-scale are typically very slow, either when associated to the brain’s natural development and aging, or to disease (Bartzokis et al., 2003, Hagmann et al., 2010, Takeuchi et al., 2010).”
Structural connectomics in brain diseases (2013, neutral): “Recent studies have shown that a progressive modification of the correlation between structural and functional connectivity occurs during development (Hagmann et al., 2010), in a well-regulated”
Characterization of Cerebral White Matter Properties Using Quantitative MRI Stains (2011, methodology): “Conversely, the connectivity properties increase with age in children (Hagmann et al., 2010).”
Development of large-scale functional networks from birth to adulthood: a guide to neuroimaging literature (2017, background): “There is an abundance of research demonstrating a correlation between DWI-tractography connection weights and FC in adults (Hagmann et al., 2008; Hagmann et al., 2010; Honey et al., 2009).”
The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants. (2014, background): “Recently, the wiring pattern of cerebral connections and the maturational calendar have been reinterpreted in the framework of small-world topology (Hagmann et al., 2010).”
Network hubs in the human brain. (2013, background): “…with connectivity of medial posterior cingulate, frontal, and insular regions already present in the postnatal infant [105] as well as the young child brain [106], but in a relative immature functional state [107] and with functional hubs largely conﬁned to primary visual and motor regions [107].”
Altered Structural Brain Connectivity in Healthy Carriers of the Autism Risk Gene, CNTNAP2 (2011, neutral): “The Desikan–Killiany atlas has been widely used for structural connectivity analysis (Hagmann et al., 2010; Honey et al., 2009).”