Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static)
graph-structured data. However, many real-world systems are dynamic in nature, since the …

Normal life can be ensured for schizophrenic patients if diagnosed early.
Electroencephalogram (EEG) carries information about the brain network connectivity which …

Myelinated axons form long-range connections that enable rapid communication between
distant brain regions, but how genetics governs the strength and organization of these …

Individuals with schizophrenia exhibit impaired social cognition, which manifests as
difficulties in identifying emotions, feeing connected to others, inferring people's thoughts …

Graph theoretical analysis has become an important tool in the examination of brain
dysconnectivity in neurological and psychiatric brain disorders. A common analysis step in …

Virtually all domains of cognitive function require the integration of distributed neural activity.
Network analysis of human brain connectivity has consistently identified sets of regions that …

An increasing number of theoretical and empirical studies approach the function of the
human brain from a network perspective. The analysis of brain networks is made feasible by …

The brain is expensive, incurring high material and metabolic costs for its size—relative to
the size of the body—and many aspects of brain network organization can be mostly …

In this paper, we present a groupwise graph-theory-based parcellation approach to define
nodes for network analysis. The application of network-theory-based analysis to extend the …