Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …

Complex problem solving is a high level cognitive task of the human brain, which has been
studied over the last decade. Tower of London (TOL) is a game that has been widely used to …

The anatomical architecture of the mammalian brain can be modeled as the connectivity
between functionally distinct areas of cortex and sub-cortex, which we refer to as the …

In this study, we propose a neural network approach to capture the functional connectivities
among anatomic brain regions. The suggested approach estimates a set of brain networks …

Aging is a natural and inevitable process in human life that involves changes in the brain.
The brain becomes structurally, functionally, and interconnected differently. The evolution of …

Abstract Mild Cognitive Impairment (MCI) is a clinically intermediate stage in the course of
Alzheimer's disease (AD). MCI does not always lead to dementia. Some MCI patients may …

This work addresses the problem of constructing a unified, topologically optimal connectivity-
based brain atlas. The proposed approach aggregates an ensemble partition from individual …

In this paper, we study the problem of learning graph embeddings for dynamic networks and
the ability to generalize to unseen nodes called inductive learning. Firstly, we overview the …

We present two related methods for deriving connectivity-based brain atlases from individual
connectomes. The proposed methods exploit a previously proposed dense connectivity …

This paper considers the problem of brain disease classification based on connectome data.
A connectome is a network representation of a human brain. The typical connectome …