Comparison of functional activation foci in children and adults using a common stereotactic space

By H. Kang, E. Burgund, H. Lugar, Steven E. Petersen, Bradley L. Schlaggar. NeuroImage, 2003

301 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b0b4cee264acbd7cc046cb8df72ba1d8bb5e7d44

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites (2018, background): “There is empirical evidence for the feasibility of using a common stereotactic space for this age as that used for adults (Burgund et al., 2002; Kang et al., 2003).”
Disrupted Modularity and Local Connectivity of Brain Functional Networks in Childhood-Onset Schizophrenia (2010, unknown): “Thresholding at a different value of τ creates a graph with a different edge density or cost, which is the number of edges in a graph brains to the MNI adult brain template image could result in some age-specific differences in spatial normalization, these differences are unlikely to affect fMRI res”
Earlier Development of the Accumbens Relative to Orbitofrontal Cortex Might Underlie Risk-Taking Behavior in Adolescents (2006, background): “Previous methodological work has shown that the stereotactic registration and time course of the hemodynamic response across the ages tested in the current study are not dissimilar (Burgund et al., 2002; Kang et al., 2003).”
Template-O-Matic: A toolbox for creating customized pediatric templates (2008, background): “…based on adult prior probability maps has been suggested to be sufficiently accurate for coarse-resolution fMRI data, following smoothing (Burgund et al., 2002; Kang et al., 2003), but errors become increasingly important when using structural or functional imaging data with a higher resolution.”
Functional Imaging of Numerical Processing in Adults and 4-y-Old Children (2006, result): “Although the practice of normalizing fMRI data from children to make this sort of direct comparison has been validated by a few previous studies in older children [57, 58 ], we cannot rule out the possibility that the nonlinear warping procedures used in the present study slightly shifted relevant b”
Functional Brain Networks Develop from a “Local to Distributed” Organization (2009, background): “In addition, while there are now reports suggesting that changes observed over development with blood oxygen level dependent (BOLD) fMRI are not the product of changes in hemodynamic response mechanisms over age [86,87], differences in the hemodynamic response function between children and adults co”
Simple models of human brain functional networks (2012, methodology): “Structural scans were registered to the standard stereotactic space of the Montreal Neurological Institute (MNI), using the MNI adult brain template (50, 51).”
A Developmental Shift from Positive to Negative Connectivity in Human Amygdala-Prefrontal Circuitry (2013, background): “…resonance imaging (fMRI) methodology cannot determine the nature of inhibitory or excitatory influences, amygdala–mPFC functional coupling has been theorized to reflect top-down mPFC regulation of amygdala reactivity (Hariri et al., 2003; Kim et al., 2003; Pezawas et al., 2005; Hare et al., 2008).”
Brain templates and atlases (2012, methodology): “Spatial normalization of pediatric imaging data based on adult prior probability maps may be sufficiently accurate for coarseresolution fMRI data, following smoothing (Burgund et al., 2002; Kang et al., 2003), but errors become increasingly large when using structural or functional imaging data with”
Neural development of selective attention and response inhibition (2003, methodology): “Considering the age of our participants and our voxel size, it is reasonable to normalize all participants into the standard MNI template (Burgund et al., 2002; Kang et al., 2003; Muzik et al., 2000; Wilke et al., 2002).”
Considerations for conducting developmental neuroimaging research on mental health topics (2025, unknown): “…grossly similar between adults and children as young as 7 years, and brains from age 7 years upwards can be combined into a common atlas space [66, 67], children below that age range require different analytical strategies because their brains are signi ﬁ cantly smaller and shaped differently…”