Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …
Paying attention to attention in depression
AS Keller, JE Leikauf, B Holt-Gosselin… - Translational …, 2019 - nature.com
Attention is the gate through which sensory information enters our conscious experiences.
Oftentimes, patients with major depressive disorder (MDD) complain of concentration …
Oftentimes, patients with major depressive disorder (MDD) complain of concentration …
Resting brain dynamics at different timescales capture distinct aspects of human behavior
Linking human behavior to resting-state brain function is a central question in systems
neuroscience. In particular, the functional timescales at which different types of behavioral …
neuroscience. In particular, the functional timescales at which different types of behavioral …
High-density multi-fiber photometry for studying large-scale brain circuit dynamics
Y Sych, M Chernysheva, LT Sumanovski… - Nature methods, 2019 - nature.com
Animal behavior originates from neuronal activity distributed across brain-wide networks.
However, techniques available to assess large-scale neural dynamics in behaving animals …
However, techniques available to assess large-scale neural dynamics in behaving animals …
[HTML][HTML] Effective degrees of freedom of the Pearson's correlation coefficient under autocorrelation
The dependence between pairs of time series is commonly quantified by Pearson's
correlation. However, if the time series are themselves dependent (ie exhibit temporal …
correlation. However, if the time series are themselves dependent (ie exhibit temporal …
Community detection with the label propagation algorithm: a survey
SE Garza, SE Schaeffer - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Community detection aims at discovering the structure, behavior, dynamics, and
organization of a complex network by finding cohesive groups where nodes (entities) are, in …
organization of a complex network by finding cohesive groups where nodes (entities) are, in …
Task activations produce spurious but systematic inflation of task functional connectivity estimates
Most neuroscientific studies have focused on task-evoked activations (activity amplitudes at
specific brain locations), providing limited insight into the functional relationships between …
specific brain locations), providing limited insight into the functional relationships between …
Evaluation of the spatial variability in the major resting‐state networks across human brain functional atlases
The human brain is intrinsically organized into resting‐state networks (RSNs). Currently,
several human brain functional atlases are used to define the spatial constituents of these …
several human brain functional atlases are used to define the spatial constituents of these …
The community structure of functional brain networks exhibits scale-specific patterns of inter-and intra-subject variability
The network organization of the human brain varies across individuals, changes with
development and aging, and differs in disease. Discovering the major dimensions along …
development and aging, and differs in disease. Discovering the major dimensions along …
Resting-state functional MRI studies on infant brains: a decade of gap-filling efforts
Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …