most citedExplicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation

22 citations · 42 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.QM2017

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Dmitry Petrov, Boris A. Gutman, Shih-Hua +72

As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts ha…

q-bio.QM2016

Functional Hypergraph Uncovers Novel Covariant Structures over Neurodevelopment

Shi Gu, Muzhi Yang, John D. Medaglia +4

Brain development during adolescence is marked by substantial changes in brain structure and function, leading to a stable network topology in adulthood. However, most prior work h…

q-bio.NC201622 cited

Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation

Andrew C. Murphy, Shi Gu, Ankit N. Khambhati +4

A major challenge in neuroimaging is understanding the mapping of neurophysiological dynamics onto cognitive functions. Traditionally, these maps have been constructed by examining…

q-bio.NC2016

Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

Graham L. Baum, Rastko Ciric, David R. Roalf +12

The human brain is organized into large-scale functional modules that have been shown to evolve in childhood and adolescence. However, it remains unknown whether structural brain n…

q-bio.NC201618 cited

Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity

Rastko Ciric, Daniel H. Wolf, Jonathan D. Power +11

Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of confound regression methods to limit its imp…

q-bio.NC20162 cited

The modular organization of human anatomical brain networks: Accounting for the cost of wiring

Richard F. Betzel, John D. Medaglia, Lia Papadopoulos +6

Brain networks are expected to be modular. However, existing techniques for estimating a network's modules make it difficult to assess the influence of organizational principles su…