Brianne Sutton
Anschutz Medical Campus
11 Papers
7 Citations
Brianne Sutton is an academic researcher from Anschutz Medical Campus. The author has contributed to research in topics: Medicine & Kernel method. The author has an hindex of 3, co-authored 11 publications. Previous affiliations of Brianne Sutton include University of Colorado Denver & Hospital Authority.
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Papers
Eating in the absence of hunger in young children is related to brain reward network hyperactivity and reduced functional connectivity in executive control networks.
Allison L.B. Shapiro,Susan L. Johnson,Brianne Sutton,Kristina T. Legget,Dana Dabelea,Jason R. Tregellas +5 more
TL;DR: This work has implicated disinhibited eating behaviours (DEB) as a potential pathway toward obesity development in children, but the underlying neurobiology of disin inhibited eating behaviours in young, healthy weight children, prior to obesity development, remains unknown.
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Deep Brain Stimulation for Obsessive-Compulsive Disorder: Real World Experience Post-FDA-Humanitarian Use Device Approval.
TL;DR: In this paper, the authors present their experience with DBS therapy for OCD in patients who all have comorbid disease, together with the results of their programming strategies, and assess five patients who underwent ventral capsule/ventral striatum (VC/VS) DBS for OCD between 2015 and 2019 at the University of Colorado Hospital.
Effects of Alcohol and Acetate on Cerebral Blood Flow: A Pilot Study.
Jody Tanabe,Dorothy J. Yamamoto,Brianne Sutton,Mark S. Brown,Paula L. Hoffman,Ellen L. Burnham,Deborah H. Glueck,Boris Tabakoff +7 more
TL;DR: Increased thalamic CBF associated with either alcohol or acetate administration suggests that the thalamus CBF response after alcohol could be mediated by acetate.
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Kernel machine tests of association between brain networks and phenotypes.
Alexandria Jensen,Jason R. Tregellas,Jason R. Tregellas,Brianne Sutton,Fuyong Xing,Debashis Ghosh +5 more
TL;DR: This work proposes a novel kernel-based regression scheme that incorporates the resistance perturbation distance to better understand the association with biological phenotypes from fMRI using both simulated and real datasets.
Stable Meta-Networks, Noise, and Artifacts in the Human Connectome: Low- to High-Dimensional Independent Components Analysis as a Hierarchy of Intrinsic Connectivity Networks
Korey P. Wylie,Eugene Kronberg,Kristina T. Legget,Kristina T. Legget,Brianne Sutton,Jason R. Tregellas,Jason R. Tregellas +6 more
TL;DR: In this article, independent component analysis (ICA) is evaluated at very low (10 or fewer) and ultra-high dimensionalities (200 or greater) using data from the Human Connectome Project (HCP) to determine the following: (1) if larger networks, or meta-networks, are present at low dimensionality, (2) if nuisance sources increase with dimensionality and (3) if ICA is prone to overfitting.