activity
20162019
most citedLongitudinal structural connectomic and rich-club analysis in adolescent mTBI reveals persistent, distributed brain alterations acutely through to one year post-injury

20 citations · 32 across the 6 of their papers we have counts for

collaborators

7 papers

q-bio.NC2019★ 3 cited

Heat kernels with functional connectomes reveal atypical energy transport in peripheral subnetworks in autism

Markus D. Schirmer, Ai Wern Chung

Autism is increasing in prevalence and is a neurodevelopmental disorder characterised by impairments in communication skills and social behaviour. Connectomes enable a systems-leve…

q-bio.NC2019★ 1 cited

Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An application to autism

Ai Wern Chung, Markus D. Schirmer

Autism spectrum disorder (ASD) is a neurodevelopmental condition impacting high-level cognitive processing and social behavior. Recognizing the distributed nature of brain function…

q-bio.NC2019★ 20 cited

Longitudinal structural connectomic and rich-club analysis in adolescent mTBI reveals persistent, distributed brain alterations acutely through to one year post-injury

Ai Wern Chung, Rebekah Mannix, Henry A. Feldman +2

The diffused nature of mild traumatic brain injury (mTBI) impacts brain white-matter pathways with potentially long-term consequences, even after initial symptoms have resolved. To…

q-bio.NC2018

Network Structural Dependency in the Human Connectome Across the Life-Span

Markus D. Schirmer, Ai Wern Chung, P. Ellen Grant +1

Principles of network topology have been widely studied in the human connectome. Of particular interest is the modularity of the human brain, where the connectome is divided into s…

q-bio.NC2018★ 8 cited

Structural subnetwork evolution across the life-span: rich-club, feeder, seeder

Markus D. Schirmer, Ai Wern Chung

The impact of developmental and aging processes on brain connectivity and the connectome has been widely studied. Network theoretical measures and certain topological principles ar…

q-bio.NC2016

Classifying HCP Task-fMRI Networks Using Heat Kernels

Ai Wern Chung, Emanuele Pesce, Ricardo Pio Monti +1

Network theory provides a principled abstraction of the human brain: reducing a complex system into a simpler representation from which to investigate brain organisation. Recent ad…

q-bio.NC2016

Characterising brain network topologies: a dynamic analysis approach using heat kernels

A. W. Chung, M. D. Schirmer, M. L. Krishna +4

Network theory provides a principled abstraction of the human brain: reducing a complex system into a simpler representation from which to investigate brain organisation. Recent ad…