A meta-analysis of cognitive deficits in first-episode major depressive disorder
…, DF Hermens, MA Porter, MA Redoblado-Hodge - Journal of affective …, 2012 - Elsevier
BACKGROUND: Recurrent-episode Major Depressive Disorder (MDD) is associated with a
number of neuropsychological deficits. To date, less is known about whether these are …
number of neuropsychological deficits. To date, less is known about whether these are …
[HTML][HTML] Random walks and diffusion on networks
Random walks are ubiquitous in the sciences, and they are interesting from both theoretical
and practical perspectives. They are one of the most fundamental types of stochastic …
and practical perspectives. They are one of the most fundamental types of stochastic …
The physics of spreading processes in multilayer networks
Despite the success of traditional network analysis, standard networks provide a limited
representation of complex systems, which often include different types of relationships (or ‘…
representation of complex systems, which often include different types of relationships (or ‘…
Multilayer networks
In most natural and engineered systems, a set of entities interact with each other in complicated
patterns that can encompass multiple types of relationships, change in time and include …
patterns that can encompass multiple types of relationships, change in time and include …
Community structure in time-dependent, multiscale, and multiplex networks
Network science is an interdisciplinary endeavor, with methods and applications drawn
from across the natural, social, and information sciences. A prominent problem in network …
from across the natural, social, and information sciences. A prominent problem in network …
Dynamic reconfiguration of human brain networks during learning
… in brain signals also supports mental effort in a variety of cognitive operations (50), presumably
by aiding the brain in switching between different network configurations as it masters a …
by aiding the brain in switching between different network configurations as it masters a …
Communities in networks
… Such techniques start with a matrix that indicates similarities (eg, a tabulation of how every
legislator voted on every bill) and return a coordinate matrix that minimizes an appropriate …
legislator voted on every bill) and return a coordinate matrix that minimizes an appropriate …
Mathematical formulation of multilayer networks
A network representation is useful for describing the structure of a large variety of complex
systems. However, most real and engineered systems have multiple subsystems and layers of …
systems. However, most real and engineered systems have multiple subsystems and layers of …
Social structure of facebook networks
We study the social structure of Facebook “friendship” networks at one hundred American
colleges and universities at a single point in time, and we examine the roles of user attributes–…
colleges and universities at a single point in time, and we examine the roles of user attributes–…
[PDF][PDF] A roadmap for the computation of persistent homology
Persistent homology (PH) is a method used in topological data analysis (TDA) to study
qualitative features of data that persist across multiple scales. It is robust to perturbations of input …
qualitative features of data that persist across multiple scales. It is robust to perturbations of input …